Modeling of Heat Stress in Sows—Part 1: Establishment of the Prediction Model for the Equivalent Temperature Index of the Sows
Open accessAbstract
Heat stress affects the estrus time and conception rate of sows. Compared with other life stages of pigs, sows are more susceptible to heat stress because of their increased heat production. Various indicators can be found in the literature assessing the level of heat stress in pigs. However, none of them is specific to assess the sows’ thermal condition. Moreover, thermal indices are mainly developed by considering partial environment parameters, and there is no interaction between the index and the animal’s physiological response. Therefore, this study aims to develop a thermal index specified for sows, called equivalent temperature index for sows (ETIS), which includes parameters of air temperature, relative humidity and air velocity. Based on the heat transfer characteristics of sows, multiple regression analysis is used to combine air temperature, relative humidity and air velocity. Environmental data are used as independent variables, and physiological parameters are used as dependent variables. In 1029 sets of data, 70% of the data is used as the training set, and 30% of the data is used as the test set to create and develop a new thermal index. According to the correlation equation between ETIS and temperature-humidity index (THI), combined with the threshold of THI, ETIS was divided into thresholds. The results show that the ETIS heat stress threshold is classified as follows: suitable temperature ETIS < 33.1 °C, mild temperature 33.1 °C ≤ ETIS < 34.5 °C, moderate stress temperature 34.5 °C ≤ ETIS < 35.9 °C, and severe temperature ETIS ≥ 35.9 °C. The ETIS model can predict the sows’ physiological response in a good manner. The correlation coefficients R of skin temperature was 0.82. Compared to early developed thermal indices, ETIS has the best predictive effect on skin temperature. This index could be a useful tool for assessing the thermal environment to ensure thermal comfort for sows.
AI snapshot
Written from the paper’s full text.
TL;DR
This study develops an equivalent temperature index for sows (ETIS) by combining air temperature, relative humidity, air velocity, floor heat conduction, and radiation effects, then validates it against sow skin temperature. ETIS showed the best prediction of skin temperature among compared thermal indices and was divided into heat-stress thresholds based on THI.
Key findings
- ETIS was defined with thresholds: suitable ETIS < 33.1 °C, mild 33.1 °C ≤ ETIS < 34.5 °C, moderate 34.5 °C ≤ ETIS < 35.9 °C, and severe ETIS ≥ 35.9 °C.
- ETIS correlated strongly with THI (R² = 0.90) and with sow skin temperature (R² = 0.67 in conclusions; R = 0.82 reported for skin temperature prediction).
- In model validation, the test data set gave R² = 0.7317 for ETIS versus skin temperature, while training data gave R² = 0.6341.
- Compared with THI, BGHI, ET, and H, ETIS had the best predictive effect on skin temperature.
Methods
- The study used data from 30 non-pregnant multiparous sows (Large White × Landrace crossbreeds) in a sow barn at the National Feed Research Center of China Agricultural University from June to August 2018; data were collected on 4 batches of 10 sows.
- Environmental parameters (air temperature, relative humidity, air velocity) and physiological parameters (rectal temperature, respiration rate, skin temperature) were measured every 2 h from 8:00 to 18:00.
- A total of 1029 data sets were split into 70% training and 30% test sets; multiple linear regression in Matlab was used to develop ETIS, with skin temperature as the response variable, and Pearson correlations were used to compare ETIS with other thermal indices.
Limitations
- The paper states that ETIS was created in a fully enclosed sow barn, so applicable conditions should be similar; sow individual differences and regional environmental adaptations may affect its use.
- The paper states that heat-stress thresholds may differ by region and need future validation or correction using actual production data; genotype, hair thickness, health status, productivity level, and activity level can also change threshold ranges.
- Evident from the text: the model was developed and validated only with non-pregnant multiparous sows in one North China barn during summer, so its performance for pregnant or lactating sows, other housing systems, or other seasons is not established.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
14 of 69 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Heat stress adversely affects sow reproduction, including estrus time and conception rate.
“Heat stress affects the estrus time and conception rate of sows.”
- Also stated in: § 1. Introduction · plain
“Heat stress can affect the reproductive endocrine system in sows and inhibit the ovarian function, which in turn affects estrus activity [1], causing delayed estrus, hidden estrus or even no estrus phenomenon [2].”
- Also stated in: § 1. Introduction · plain
“Heat stress can reduce fertility rate [3,4]”
Quote in the paperSubstantial claim1 of 4 sources checked- cites [1] Barb, 1991, Endocrine changes in sows exposed to elevated ambient temperature during lactation, Domest. Anim. Endocrinol. source
- cites [2] Almond, 2005, Seasonal infertility in large pig production units in an Eastern-European climate, Aust. Vet. J. source
- cites [3] Bloemhof, 2013, Effect of daily environmental temperature on farrowing rate and total born in dam line sows, J. Anim. Sci. source
- cites [4] Tummaruk, 2004, Effect of Season and Outdoor Climate on Litter Size at Birth in Purebred Landrace and Yorkshire Sows in Thailand, J. Vet. Med Sci. source
The Discussion (page not provided) reports that heat stress during days 0–16 of pregnancy decreased conception rate in gilts, citing an experimental study. The paper does not report that heat stress affects estrus time; its mention of oestrus in Materials and Methods concerns when gilts were mated. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Also stated in: § 1. Introduction · plain
- Premisecitation
Following Mellado et al., 74 ≤ THI < 78 indicates mild thermal stress.
“74 ≤ THI < 78 indicates mild thermal stress”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
The Statistical Analyses section classifies THI into bands including 74–78, but does not label that band mild thermal stress. The Results mention “mild climatic conditions” without explicitly assigning that description to THI 74–78. The numerical range is supported; the stress designation is not established by our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Mellado et al. [49] used THI [10] to analyze the pregnancy rate of sows.
“Mellado et al. [49] used THI [10] to analyze the pregnancy rate of sows.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
- Premisecitation
Following Mellado et al., THI ≥ 82 indicates severe thermal stress.
“THI ≥ 82 indicates severe thermal stress”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
The Results classify THI >82 at insemination as severe heat stress. The claim changes that threshold to ≥82, but the paper does not classify THI exactly equal to 82 as severe. Page numbers are not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
In Mellado et al., when THI > 82, the sow pregnancy rate was 89.8%.
“when THI > 82, the sow pregnancy rate was 89.8%”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
Table 1 (Discussion) reports a pregnancy rate of 89.8% at THI >82 for gilts and sows combined. The Results give the sow-specific rate as 90.1% (and the gilt rate as 88.7%), so 89.8% is not the sow pregnancy rate. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
In Mellado et al., when THI < 74, the pregnancy rate was 93%.
“when THI < 74, the pregnancy rate was 93%”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
- Premisecitation
Following Mellado et al., 78 ≤ THI < 82 indicates moderate thermal stress.
“78 ≤ THI < 82 indicates moderate thermal stress”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
The Statistical Analyses section classifies THI into bands including 78–82, and the Results call THI >82 severe heat stress. Our copy does not label the 78–82 band “moderate thermal stress,” so it supports the range but not the attributed stress designation. No page numbers are available in the indexed passages. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
In Mellado et al., when 78 < THI < 82, the pregnancy rate was 91.4%.
“when 78 < THI < 82, the pregnancy rate was 91.4%”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
- Premisecitation
Following Mellado et al., THI < 74 indicates an appropriate environmental level.
“THI < 74 indicates an appropriate environmental level”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
The Results (Table 1; page unavailable) report the highest pregnancy rate in the THI <74 group, supporting its use as a favorable condition for gilts and sows at insemination. The paper does not establish <74 as a general cutoff for an ‘appropriate environmental level’; pregnancy rates were similar across several lower-THI groups, and abortion rate was highest in the <74 group. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
In Mellado et al., when 74 < THI < 78, the pregnancy rate was 91.8%.
“when 74 < THI < 78, the pregnancy rate was 91.8%”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Mellado et al. [49] Mellado, 2018, Effect of climate and insemination technique on reproductive performance of gilts and sows in a subtropical zone of Mexico, Austral. J. Vet. Sci. source
- Findingown data
The measured coefficient of determination (R2) between ETIS and skin temperature for the test data set was 0.7317.
“The measured coefficient of the skin temperature (R2) was 0.7317.”
Quote in the paperSubstantial claim - Findingown data
The relationship between THI and respiration rate is described by a linear regression equation y = 2.2137x − 135.98, with R2 = 0.1386 and p < 0.0001.
“The relationship between THI and respiration rate can be described by a linear regression equation: y = 2.2137x − 135.98 (where y stands for respiration rate (breaths·min−1) and x stands for THI) (R2 = 0.1386, p < 0.0001).”
- Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
“The coefficient of determination (R2) between THI and respiration rate was 0.1386, which means that 13.9% of the respiration rate change can be explained by the variation in THI.”
Quote in the paperSubstantial claim - Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
- Findingreasoning
The final ETIS equation is Equation (13): ETIS = T + 0.0006·(RH−50)·T − 0.3132·u0.6827·(38−T) − 4.79·(1.0086·38−T) + 4.8957·10−8 ·((38+273.15)4−(T+273.15)4).
“To be as consistent as possible with the definition of ETIS, the final ETIS can be determined as Equation (13).”
- Also stated in: § 3.2. Development of the Equivalent Temperature Index for Sows Model · plain
“(13)ETIS=T+0.0006·(RH−50)·T−0.3132·u0.6827·(38−T)−4.79·(1.0086·38−T)+4.8957·10−8 ·((38+273.15)4−(T+273.15)4)”
Quote in the paperSubstantial claim - Also stated in: § 3.2. Development of the Equivalent Temperature Index for Sows Model · plain
- Findingown data
The relationship between THI and ETIS is described by a linear regression equation y = 0.3533x − 6.9249, with R2 = 0.9026 and p < 0.0001.
“Figure 7 shows a scatterplot of THI versus ETIS, and inductive regression equation is described: y = 0.3533x − 6.9249 (where y stands for ETIS (°C) and x stands for THI) (R2 = 0.9026, p < 0.0001).”
Quote in the paperSubstantial claim - Findingown data
The relationship between THI and core temperature is described by a linear regression equation y = 0.0454x + 34.873, with R2 = 0.0972 and p < 0.0001.
“The relationship between THI and core temperature can be described by a linear regression equation: y = 0.0454x + 34.873 (where y stands for core temperature (°C) and x stands for THI) (R2 = 0.0972, p < 0.0001).”
- Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
“The coefficient of determination (R2) between THI and core temperature was 0.0972, which means that 9.7% of the core temperature change can be explained by the variation in THI.”
Quote in the paperSubstantial claim - Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
- Findingown data
The thermal index positively correlated with the physiological response (skin temperature).
“As shown in Table 3, the thermal index positively correlated with the physiological response.”
Quote in the paperSubstantial claim - Findingown data
The sow Farm of China Feed Research Center, located in North China, falls mostly in the mild and moderate heat stress range during the summer period.
“As shown in Table 2, from the heat stress zone of ETIS, it can be concluded that the sow Farm of China Feed Research Center, located in North China, falls mostly in the mild and moderate heat stress range during the summer period.”
Quote in the paperNot a substantial claim - Findingown data
Multiple linear regression yielded estimated ratios for terms in Equation (10): 0, 0.1152, 0.0006, −0.3132, 0, 0, 2.9370 × 10−8, and −4.8957 × 10−8.
“Then, the estimated ratios of T, 50·T, RH·T, u0.6827·(TS − T), 38, T, (38 + 273.15)4 and (T + 273.15)4 were obtained; these ratios were 0, 0.1152, 0.0006, −0.3132, 0, 0, 2.9370 × 10−8 and −4.8957 × 10−8, respectively.”
Quote in the paperSubstantial claim - Findingown data
In comparison with other thermal indices, ETIS had the best predictive effect on skin temperature, with a correlation coefficient R of 0.82, using experimental data from the sow house.
“In the comparison with other thermal indices, the ETIS had the best performance (R = 0.82) using experimental data obtained from the sow house.”
- Also stated in: § Abstract · plain
“The correlation coefficients R of skin temperature was 0.82. Compared to early developed thermal indices, ETIS has the best predictive effect on skin temperature.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
The relationship between THI and skin temperature is described by a linear regression equation y = 0.3495x + 7.3646, with R2 = 0.6165 and p < 0.0001.
“The relationship between THI and skin temperature can be described by a linear regression equation: y = 0.3495x +7.3646 (where y stands for skin temperature (°C) and x stands for THI) (R2 = 0.6165, p < 0.0001).”
- Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
“The coefficient of determination (R2) between THI and sow skin temperature was 0.6165, which means that 61.7% of the skin temperature change can be explained by the variation in THI.”
Quote in the paperSubstantial claim - Also stated in: § 4.2. The Relationship between THI and Physiological Parameters · plain
- Findingreasoning
The prediction of skin temperature was better with ETIS compared to other indices.
“The prediction of skin temperature was better with ETIS compared to other indices.”
Quote in the paperSubstantial claim - Findingnone given
Compared with other thermal indexes, the ETIS model has the best prediction of skin temperature (R = 0.82).
“Compared with other thermal indexes, the ETIS model has the best prediction of skin temperature (R = 0.82).”
Quote in the paperSubstantial claim - Findingnone given
The ETIS equation has a good correlation with THI.
“The ETIS equation has a good correlation with THI.”
Quote in the paperSubstantial claim - Findingown data
The correlation between the ETIS index and THI index (R2) was 0.90.
“The correlation between the ETIS index and THI index (R2) was 0.90”
Quote in the paperSubstantial claim - Findingown data
ETIS has the highest correlation with skin temperature compared to other indices.
“Finally, ETIS was concluded to have the highest correlation with skin temperature.”
Quote in the paperSubstantial claim - Findingreasoning
Compared with other physiological parameters, skin temperature has the highest correlation with THI.
“Compared with other physiological parameters, skin temperature has the highest correlation with THI.”
Quote in the paperSubstantial claim - Findingown data
The correlation between ETIS and sow skin temperature (R2) was 0.67.
“and the correlation with sow skin temperature (R2) was 0.67.”
Quote in the paperSubstantial claim - Premisecitation
Respiratory rate, core body temperature, rectal temperature, skin temperature, feed, water intake and other physiological responses as well as production performance are affected by heat stress to varying levels.
“Respiratory rate, core body temperature, rectal temperature, skin temperature, feed, water intake and other physiological responses as well as production performance (pregnancy rate, delivery times, estrus time, etc.) are affected by heat stress to varying levels [24,25,26,27,28].”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [24] Marple, 1974, Physiological and endocrinological changes in response to terminal heat stress in swine, J. Anim. Sci. source
- cites [25] Patience, 1991, Physiological and nutritional effects of heat-stress in the pig, FASEB J.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [26] Patience, 2005, Nutritional and physiological responses of growing pigs exposed to a diurnal pattern of heat stress, Livest. Prod. Sci. source
- cites [27] Ross, 2015, Physiological consequences of heat stress in pigs, Anim. Prod. Sci. source
- cites [28] Ross, 2017, Physiological mechanisms through which heat stress compromises reproduction in pigs, Mol. Reprod. Dev. source
- Interpretationreasoning
The level of heat stress can be assessed by measuring or monitoring changes in physiological responses, animal behavior and performance.
“Thus, the level of heat stress can be assessed by measuring or monitoring changes in physiological responses, animal behavior and performance.”
Quote in the paperSubstantial claim - Interpretationreasoning
The equivalent temperature of heat conduction (Tf) is related to the temperature of the floor surface and sow body surface.
“Then, the equivalent temperature of heat conduction at that place must be related to the temperature of the floor surface and sow body surface, and the relationship between them is indicated by D.”
Quote in the paperSubstantial claim- Rests on an assumption: Heat transfer between the sow body and the floor surface is driven by the temperature difference.
- Interpretationreasoning
The equivalent temperature of air velocity (Tu) can be expressed as e·u^c·(Ts−T).
“so the equivalent temperature of air velocity (Tu) is expressed as Equation (5):(5)Tu=e·uc·(Ts−T)”
Quote in the paperSubstantial claim - Premisecitation
Sows spend most of the time lying down and resting.
“However, the sow spends most of the time lying down and resting [38,39].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [38] Gravas, 1981, The exercise needs for tied and free-moving dry sows, Appl. Anim. Ethol. source
- cites [39] Massabie, P., and Granier, R. (August, January 29). Effect of Air Movement and Ambient Temperature on the Zootechnical Performance and Behavior of Growing-Finishing Pigs. Proceedings of the the 94th ASAE Annual International Meeting, Sacramento, CA, USA.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The equivalent air temperature related to relative humidity (Trh) can be calculated as a·(RH−50)·T, where a is a coefficient.
“Bjerg [19] compared the values from Beckett’s study and found that Trh can be calculated by Equation (2):(2)Trh=a·(RH−50)·T”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bjerg [19] Bjerg, 2018, Computational prediction of the effective temperature in the lying area of pig pens, Comput. Electron. Agric. source
- Premisecitation
Equation (5) is consistent with Wang's equation.
“Equation (5) is consistent with Wang’s equation [35], where the constant c represents the effect of air velocity changes on the convective heat transfer coefficient.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Wang, 2018, A predictive model of equivalent temperature index for dairy cattle (ETIC), J. Therm. Biol. source
- Premisecitation
The convective heat transfer coefficient of sows is 0.6827.
“To know the convective heat transfer of sows, a pilot study by Cao et al. [40] was carried out, and the convective heat transfer coefficient of sows was found to be 0.6827.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cao et al. [40] Cao, 2020, Numerical simulations of airflow and convective heat transfer of a sow, Biosyst. Eng. source
- Interpretationreasoning
The ETIS can be expressed as the combined equation ETIS = T + a·(RH − 50)·T + e·u0.6827·(Ts − T) + D·(Ts − T) + Rrad·((Ts + 273.15)^4 − (T + 273.15)^4).
“The ETIS is formed by integrating those equivalent temperatures into Equation (1) and shown as ETIS = T + a·(RH − 50)·T + e·u0.6827·(Ts − T) + D·(Ts − T) + Rrad·((Ts + 273.15)4 − (T + 273.15)4)(10)”
Quote in the paperSubstantial claim- The authors state this as an assumption: The coefficient a in the relative humidity equivalent temperature equation is positive.
- The authors state this as an assumption: The average radiant temperature is equal to the air temperature.
- Rests on an assumption: Heat transfer between the sow body and the floor surface is driven by the temperature difference.
- Rests on an assumption: Radiative heat transfer is driven by the difference of the fourth power of the absolute temperatures between two objects.
- Premisecitation
Floor surface temperature is very close to ambient air temperature.
“As the floor surface temperature is very close to the ambient air temperature, the air temperature is usually used as the floor surface temperature for calculations [41,42].”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
Tr can be expressed as Rrad·((Ts+273.15)^4−(T+273.15)^4).
“Since indoor climate studies usually assume that the average radiant temperature is equal to the air temperature [44,45,46,47,48], Trad is represented here by T, and equivalent temperature of radiative heat transfer can be expressed as Equation (9). (9)Tr=Rrad·((Ts+273.15)4−(T+273.15)4)”
Quote in the paperSubstantial claim- The authors state this as an assumption: The average radiant temperature is equal to the air temperature.
- Premisecitation
The heat dissipation process of the sow is not only related to the ambient temperature.
“but the heat dissipation process of the sow is not only related to the ambient temperature [22,23,29]”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [23] Modest, M.F. (2013). Radiative Heat Transfer, Academic Press. source
- cites [29] Bond, 1959, Hog house air conditioning and ventilation data, Trans. ASAE source
- Premisecitation
The larger the correlation coefficient, the better the prediction of the thermal index.
“The larger the correlation coefficient, the better the prediction of the thermal index [21].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Rodrigues, 2011, A correct enthalpy relationship as thermal comfort index for livestock, Int. J. Biometeorol. source
- Premisecitation
Heat stress of sows is mainly caused by poor heat dissipation.
“Heat stress of sows is mainly caused by poor heat dissipation [22,30,31].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [30] Bianca, 1976, The signifiance of meterology in animal production, Int. J. Biometeorol. source
- cites [31] Parsons, K. (2014). Human Thermal Environments: The Effects of Hot, Moderate, and Cold Environments on Human Health, Comfort, and Performance, CRC Press, Inc. source
- Study design and conductown data
The model was validated using the skin temperature data in the test set.
“The model was validated using the skin temperature data in the test set.”
Quote in the paperSubstantial claim - Interpretationreasoning
The radiative heat of a sow is related to the sow's skin temperature and mean radiant temperature, and can be expressed as Tr=Rrad·((Ts+273.15)^4−(Trad+273.15)^4).
“The radiative heat of a sow is related to the sow’s skin temperature and mean radiant temperature, and Equation (8) is obtained:(8)Tr=Rrad·((Ts+273.15)4−(Trad+273.15)4)”
Quote in the paperSubstantial claim- Rests on an assumption: Radiative heat transfer is driven by the difference of the fourth power of the absolute temperatures between two objects.
- Premisecitation
The equivalent air velocity temperature can be obtained from the equations related to convective heat transfer.
“The equivalent air velocity temperature can be obtained from the equations related to convective heat transfer [22,33,34], as shown in Equations (3) and (4)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [33] Bergman, T.L., Lavine, A.S., Incropera, F.P., and DeWitt, D.P. (2011). Fundamentals of Heat and Mass Transfer, John Wiley & Sons.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [34] Kreith, F., and Bohn, M. (2010). Principles of Heat Transfer, Cengage Learning.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The newly developed ETIS can be used to assess the degree of thermal comfort for sows.
“This study concludes that the newly developed ETIS can be used to assess the degree of thermal comfort for sows.”
- Also stated in: § Abstract · hedged
“This index could be a useful tool for assessing the thermal environment to ensure thermal comfort for sows.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · hedged
- Interpretationreasoning
When relative humidity is above 50%, as humidity increases, the thermal index shows an upward trend.
“It can be concluded from the equation that when the humidity is above 50%, as the humidity increases, the thermal index shows an upward trend.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The coefficient a in the relative humidity equivalent temperature equation is positive.
- Premisecitation
The highest temperature in the summer environment (34 °C) exceeded the upper limit of comfort for sows.
“It can be seen from the data that the highest temperature in the summer environment (34 °C) exceeded the upper limit of comfort for sows [7]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Drolet, 1996, Sow mortality associated with high ambient temperatures, Can. Vet. J.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In summer, the floor surface is a source of cold.
“In the summer, the surface of the floor is a source of cold.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] Bjerg, B.S., and Kai, P. (2019, January 7–10). CFD Prediction of Heat Transfer in Heated or Cooled Concrete Floors in Laying Areas for Pig. Proceedings of the 2019 ASABE Annual International Meeting, Boston, MA, USA. source
- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Sow heat can be transferred to the floor surface.
“The sow heat can be transferred to the floor surface [20,22].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] Bjerg, B.S., and Kai, P. (2019, January 7–10). CFD Prediction of Heat Transfer in Heated or Cooled Concrete Floors in Laying Areas for Pig. Proceedings of the 2019 ASABE Annual International Meeting, Boston, MA, USA. source
- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Tf can be expressed as D·(Ts−Td).
“Thus, Tf can be expressed as Equation (6):(6)Tf=D·(Ts−Td)”
Quote in the paperSubstantial claim- Rests on an assumption: Heat transfer between the sow body and the floor surface is driven by the temperature difference.
- Premisecitation
For a standing pig, convective heat transfer is proportional to v^0.66.
“Li [36] used computational fluid dynamic (CFD) simulation to study the convective heat transfer of a standing pig and found that it is proportional to v0.66.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li [36] Li, 2016, Study on convective heat transfer from pig models by CFD in a virtual wind tunnel, Comput. Electron. Agric. source
- Interpretationreasoning
Air velocity has an extremely important influence on the convective heat transfer coefficient.
“According to Equations (3) and (4), it can be seen that the air velocity has an extremely important influence on the convective heat transfer coefficient”
Quote in the paperSubstantial claim - Interpretationreasoning
Tf can be expressed as D·(Ts−T).
“The equivalent temperature of floor heat conduction can be expressed as (7)Tf=D·(Ts−T)”
Quote in the paperSubstantial claim- Rests on an assumption: Heat transfer between the sow body and the floor surface is driven by the temperature difference.
- Interpretationown data
The ETIS model can predict the sows' physiological response in a good manner.
“The ETIS model can predict the sows’ physiological response in a good manner.”
Quote in the paperSubstantial claim - Interpretationown data
The model derived from the training set can well estimate the skin temperature of the test data.
“This shows that the model derived from the training set can well estimate the skin temperature of the test data.”
Quote in the paperSubstantial claim - Interpretationreasoning
The ETIS equation predicts the skin temperature of 63% of sows using the training data set.
“The ETIS equation predicts the skin temperature of 63% of sows using the training data set.”
Quote in the paperSubstantial claim - Interpretationreasoning
Core temperature is not suitable as a crucial variable of the thermal index.
“The core temperature change is usually small, and it is also not suitable to be a crucial variable of the thermal index.”
Quote in the paperSubstantial claim- Rests on an assumption: Sows are warm-blooded animals, and their rectal temperatures are relatively stable under normal conditions.
- Interpretationreasoning
The threshold of ETIS can be determined according to the threshold partition of THI and the correlation equation between ETIS and THI.
“According to the threshold partition of THI and the correlation equation between ETIS and THI, the threshold of ETIS can be determined.”
Quote in the paperSubstantial claim- Rests on an assumption: THI has established heat stress thresholds that can be used to derive ETIS thresholds.
- Interpretationreasoning
Skin temperature is more suitable as the physiological response variable in the ETIS model.
“Therefore, skin temperature is more suitable as the physiological response variable in the ETIS model.”
Quote in the paperSubstantial claim- Rests on an assumption: The sow’s skin is directly exposed to the air, so skin temperature is greatly affected by the environment.
- Rests on an assumption: Skin temperature is also affected by the sow’s internal heat production.
- Rests on an assumption: The skin of the sow is the main channel for heat exchange.
- Rests on an assumption: The respiration rate changes after receiving the thermal sensory signal provided by the brain of the sow.
- Rests on an assumption: The respiration rate process has a delay compared to the skin.
- Premisecitation
Under the same thermal conditions, if the sow breathes the same amount of air, the frequency between deep breathing and non-deep breathing will be different.
“Under the same thermal conditions, if the sow breathes the same amount of air, the frequency between deep breathing and non-deep breathing will be different [53].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Cheng, 2018, A Physiological/Model Study on the Effects of Deep Breathing on the Respiration Rate, Oxygen Saturation, and Cerebral Oxygen Delivery in Humans, Neurophysiology source
- Interpretationown data
The ETIS model can predict 73% of skin temperature changes using the test data set.
“The ETIS model can predict 73% of skin temperature changes using the test data set.”
Quote in the paperSubstantial claim - Interpretationown data
The ETIS model construction can be considered reasonable.
“Therefore, the ETIS model construction can be considered reasonable.”
Quote in the paperNot a substantial claim- Rests on an assumption: Skin temperature is not only affected by the environment but also by the sow’s internal factors, and there are individual differences among different sows.
- Interpretationown data
The correlation between ETIS and THI is relatively high.
“Therefore, the correlation between ETIS and THI is relatively high.”
Quote in the paperSubstantial claim - Interpretationreasoning
The ETIS model can be used to evaluate heat stress level of sows.
“ETIS can reasonably predict the influence of the environment on the sow skin temperature, so it can be considered that the ETIS model can be used to evaluate heat stress level of sows.”
Quote in the paperSubstantial claim- Rests on an assumption: The skin is a window for heat exchange between the sow and the external environment.
- Rests on an assumption: When the thermal environment is severe, the sow skin is stimulated at first.
- Interpretationreasoning
ETIS is significantly better than ET for predicting the skin temperature of sows.
“Therefore, ETIS is significantly better than ET for predicting the skin temperature of sows.”
Quote in the paperSubstantial claim- Rests on an assumption: Sensible heat is an indirect measurement, so errors will inevitably occur.
- Rests on an assumption: Large pigs tend to avoid heat, and small pigs tend to avoid cold.
- Rests on an assumption: The characteristic lengths of big pigs and small pigs are different, so their heat dissipation characteristics differ slightly.
- Premisecitation
Previous studies on the effect of air temperature on rectal temperature vary widely.
“Previous studies on the effect of air temperature on rectal temperature vary widely [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Bjerg, 2020, Sows’ responses to increased heat load—A review, J. Therm. Biol. source
- Interpretationreasoning
The correlation between THI and core temperature is low.
“It is reasonable that the correlation between THI and core temperature is low.”
Quote in the paperSubstantial claim- Rests on an assumption: Sows are warm-blooded animals, and their rectal temperatures are relatively stable under normal conditions.
- Premisecitation
Skin temperature is the result of heat production and environmental factors.
“Skin temperature is the result of heat production and environmental factors [29].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Bond, 1959, Hog house air conditioning and ventilation data, Trans. ASAE source
- Interpretationreasoning
The correlation between THI and respiration rate is weak.
“As a result, it can be predicted that the correlation between THI and respiration rate is weak.”
Quote in the paperSubstantial claim- Rests on an assumption: Sows have fewer sweat glands, so they dissipate heat differently from other animals.
- Rests on an assumption: Sows are restricted by crates, and they recline or lie most of the time.
- Rests on an assumption: Individual differences and lying position may affect a sow’s breathing.
- Rests on an assumption: THI only includes air temperature and relative humidity.
- Rests on an assumption: Relief of heat stress is essentially a process of heat dissipation, and air temperature and relative humidity are only part of the parameters of the heat dissipation process.
- May combine two claims. 10
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 8
May combine two claims.
PremisecitationMany thermal indices have been developed and some applied with pigs, including THI, BGHI, ET, and H.
“Over the past decades, many indices have been developed in the assessment of thermal environment, and some have been applied with pigs, such as the temperature-humidity index (THI) [9,10,11,12,13,14,15,16], the globe-humidity index (BGHI) [17,18], the effective temperature (ET) [19,20] and the enthalpy (H) [21].”
Quote in the paperSubstantial claim3 of 10 sources checked- cites [9] Thom, 1958, Cooling degrees-days air conditioning, heating, and ventilating, Trans. ASAE
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10] Thom, 1959, The discomfort index, Weatherwise source
- cites [11] Ingram, 1965, The effect of humidity on temperature regulation and cutaneous water loss in the young pig, Res. Vet. Sci. source
- cites [12] Bond, C.F.K.T.E. (1971). Bioclimatic Factors and Their Measurements. A Guide to Environmental Research in Animals, National Academy of Science Press.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [13] Maust, 1972, Effect of Summer Weather on Performance of Holstein Cows in Three Stages of Lactation, J. Dairy Sci. source
The Abstract and Results and Discussion describe using THI to assess summer weather and Holstein cow responses, supporting the citation as an example of a thermal index in use. The paper studies cows, not pigs, so it does not support the pig-specific application attributed to the THI citations. BGHI, ET, and H have separate citations in the citing sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [14] NOAA (National Oceanic and Atmospheric Administration) (1976). Livestock Hot Weather Stress.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [15] Fehr, 1983, Limiting Swine Stress with Evaporative Cooling in the Southwest, Trans. ASAE source
The Introduction (page unavailable) describes a wet-bulb/dry-bulb index for swine and reports an effective temperature developed for hogs. It also discusses enthalpy as an environmental-stress measure, but the cited paper does not address the globe-humidity index (BGHI), so it does not support the full list. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [16] Wu, 2018, Cooling performance of wet curtain fan-fabric duct ventilation system in house of pregnant sows, Trans. Chin. Soc. Agric. Eng.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [17] Buffington, 1981, Black globe-humidity index (bghi) as comfort equation for dairy cows, Trans. ASAE source
- cites [18] Ferreira, 2011, Behaviour and performance of lactating sows housed in different types of farrowing rooms during summer, Livestock Sci. source
May combine two claims.
PremisecitationWhen a sow reclines, it often alternates between being awake and asleep, which affects the sow's breathing status.
“When the sow reclines, it often alternates between being awake and asleep, which affects the sow’s breathing status [52].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [52] Li, 2018, Sleep and Wake Classification Based on Heart Rate and Respiration Rate, IOP Conf. Ser. Mater. Sci. Eng. source
The Introduction says that respiration slows and becomes more stable after people fall asleep, supporting a link between sleep state and breathing in humans. The paper does not study reclining sows, and the Methodology says transitions between waking and sleeping are few under normal circumstances, rather than frequent. (LLM, conf=0.88)
Experimental — accuracy not yet measured
The quote only partly states this claim.
Findingown dataThe coefficient of determination (R2) between ETIS and sow skin temperature was 0.6341 using the training data set.
“The coefficient of determination (R2) between ETIS and sow skin temperature was 0.6341.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenThe ETIS heat stress threshold is classified as: suitable temperature ETIS < 33.1 °C, mild temperature 33.1 °C ≤ ETIS < 34.5 °C, moderate stress temperature 34.5 °C ≤ ETIS < 35.9 °C, and severe temperature ETIS ≥ 35.9 °C.
“the ETIS heat stress threshold is classified as follows: suitable temperature ETIS < 33.1 °C, mild temperature 33.1 °C ≤ ETIS < 34.5 °C, moderate stress temperature 34.5 °C ≤ ETIS < 35.9 °C, and severe temperature ETIS ≥ 35.9 °C.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationExisting thermal indices applied with pigs normally include two or three environmental parameters, which are unilateral from the perspective of heat exchange.
“they normally include two or three environmental parameters, which are unilateral from the perspective of heat exchange [22,23]”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Not checked in the free run.
- cites [23] Modest, M.F. (2013). Radiative Heat Transfer, Academic Press. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHeat stress increases death rate.
“increase death rate [7]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Drolet, 1996, Sow mortality associated with high ambient temperatures, Can. Vet. J.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHeat stress increases weight loss through lactation.
“increase weight loss through lactation [5]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Quiniou, 1999, Influence of high ambient temperatures on performance of multiparous lactating sows, J. Anim. Sci. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHeat stress decreases milk production.
“decrease milk production [6]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Black, 1993, Lactation in the sow during heat stress, Livest. Prod. Sci. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHeat stress decreases piglet weight gain.
“decrease piglet weight gain [5]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Quiniou, 1999, Influence of high ambient temperatures on performance of multiparous lactating sows, J. Anim. Sci. source
May combine two claims.
PremisecitationThe total heat dissipation of the sow is affected by convective heat transfer, radiation heat transfer, heat conduction and respiratory heat transfer, and these forms of heat dissipation are affected by environmental factors such as air temperature, relative humidity, and airflow velocity.
“The total heat dissipation of the sow will be affected by the sow’s convective heat transfer, radiation heat transfer, heat conduction and respiratory heat transfer [22,23,29], and those forms of heat dissipation will be affected by environmental factors such as air temperature, relative humidity airflow velocity and so on.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [22] Yunus, A.C.D., and Afshin, J.G. (2014). Heat and Mass Transfer: Fundamentals and Applications, McGraw-Hill Education.
Not checked in the free run.
- cites [23] Modest, M.F. (2013). Radiative Heat Transfer, Academic Press. source
- cites [29] Bond, 1959, Hog house air conditioning and ventilation data, Trans. ASAE source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe experimental data were randomly divided into two data sets, of which 70% were used to create the model and the remaining 30% were used to test the model.
“The experimental data were randomly divided into two data sets, of which 70% were used to create the model and the remaining 30% were used to test the model.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningHeat stress thresholds for ETIS are: ETIS < 33.1 °C suitable, 33.1 °C ≤ ETIS < 34.5 °C mild, 34.5 °C ≤ ETIS < 35.9 °C moderate, and ETIS ≥ 35.9 °C severe.
“The categories are as follows: ETIS < 33.1 °C is considered to be suitable, 33.1 °C ≤ ETIS < 34.5 °C is considered to be mild, 34.5 °C ≤ ETIS < 35.9 °C is considered to be moderate, and ETIS ≥ 35.9 °C is considered to be severe.”
- Also stated in: § 4.6. Summary of the Study and Research Perspectives · plain
“The classification is as follows: suitable temperature ETIS < 33.1 °C, mild temperature 33.1 °C ≤ ETIS < 34.5 °C, moderate stress temperature 34.5 °C ≤ ETIS < 35.9 °C, and severe temperature ETIS ≥ 35.9 °C.”
- Also stated in: § 5. Conclusions · plain
“The classification was as follows: suitable temperature ETIS < 33.1 °C, mild temperature 33.1 °C ≤ ETIS < 34.5 °C, moderate stress temperature 34.5 °C ≤ ETIS < 35.9 °C, and severe temperature ETIS ≥ 35.9 °C.”
Quote in the paperSubstantial claim- Rests on an assumption: THI has established heat stress thresholds that can be used to derive ETIS thresholds.
- Also stated in: § 4.6. Summary of the Study and Research Perspectives · plain
May combine two claims.
PremisecitationConventional rectal thermometers are not precise enough to measure 0.099 °C, and minor changes cannot be accurately monitored.
“However, conventional rectal thermometers are not precise enough to measure 0.099 °C, and minor changes cannot be accurately monitored [51].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Schinckel, 2017, Effect of floor cooling on late lactation sows under acute heat stress, Livestock Sci. source
May combine two claims.
PremisecitationET simply combines air temperature, relative humidity and air velocity, and it uses a small amount of test data based on sensible heat dissipation of 3.4-70 kg pig.
“ET simply combines air temperature, relative humidity and air velocity, and it uses a small amount of test data based on sensible heat dissipation of 3.4–70 kg pig [19].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Bjerg, 2018, Computational prediction of the effective temperature in the lying area of pig pens, Comput. Electron. Agric. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhen air temperature is above 25 °C, every 1 °C increase in air temperature increases rectal temperature by 0.099 °C.
“Previous studies have shown that when the air temperature is above 25 °C, every 1 °C increase in air temperature will increase the rectal temperature by 0.099 °C [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Bjerg, 2020, Sows’ responses to increased heat load—A review, J. Therm. Biol. source
May combine two claims.
PremisecitationIn previous studies, the monitored frequency of respiration rate was low, or the number of samples was small, so that the influences of the above factors were ignored.
“In previous studies, the monitored frequency of respiration rate was low [5], or the number of samples was small [51], so that the influences of the above factors were ignored.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe index is created in a fully enclosed sow barn, so the applicable conditions should be similar.
“However, it should be noted that the index is created in a fully enclosed sow barn, so the applicable conditions should be similar.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
No existing thermal index is specific to assessing sows’ thermal condition.
“Various indicators can be found in the literature assessing the level of heat stress in pigs, but none of them is specific to assess the sows’ thermal condition.”
The paper relies on this without support.
No study has focused on heat stress in sows so far.
“In addition, there is no study focusing on heat stress in sows, so far.”
The paper relies on this without support.
Existing thermal indices applied with pigs were mainly developed based on other animals and directly applied in pigs.
“those indices mainly developed based on other animals, while directly applied in pigs”
The paper relies on this without support.
Existing thermal indices applied with pigs lack consideration of pigs’ real-time physiological and production characteristics.
“they lack consideration of pigs’ real-time physiological and production characteristics.”
The paper relies on this without support.
Sows are more susceptible to heat stress than other life stages of pigs because of their increased heat production.
“Compared with other life stages of pigs, sows are more susceptible to heat stress because of their increased heat production.”
The paper relies on this without support.
Animal behavior, performance and most physiological indicators are either invasive or difficult to monitor continuously.
“However, animal behavior, performance and most physiological indicators are either invasive or difficult to monitor continuously.”
The paper relies on this without support.
Environmental parameters such as air temperature, relative humidity and air velocity are comparatively much easier to measure than animal behavior, performance and most physiological indicators.
“In contrast, environmental parameters, such as air temperature, relative humidity and air velocity, acting as the influencing factors of heat stress, are comparatively much easier to measure.”
The authors state this as an assumption.
The coefficient a in the relative humidity equivalent temperature equation is positive.
“a is a coefficient, and expected to be positive.”
The authors state this as an assumption.
The average radiant temperature is equal to the air temperature.
“Since indoor climate studies usually assume that the average radiant temperature is equal to the air temperature [44,45,46,47,48], Trad is represented here by T”
The paper relies on this without support.
Heat transfer between the sow body and the floor surface is driven by the temperature difference.
“The heat transfer between the sow body and the floor surface is driven by the temperature difference.”
The paper relies on this without support.
Radiative heat transfer is driven by the difference of the fourth power of the absolute temperatures between two objects.
“The radiative heat transfer is driven by the difference of the fourth power of the absolute temperatures between two objects.”
The authors state this as an assumption.
The difference between different measuring points in environmental parameters is linear.
“The research assumed that the difference between different measuring points in environmental parameters is linear, and the environmental parameters were determined at different locations based on this assumption.”
The paper relies on this without support.
Skin temperature is influenced by both the thermal environment and the sow body, acting as the window for transfer heat.
“Skin temperature was selected as the only response variable because skin temperature is influenced by both the thermal environment and the sow body, acting as the window for transfer heat.”
The paper relies on this without support.
Sows are warm-blooded animals, and their rectal temperatures are relatively stable under normal conditions.
“Sows are warm-blooded animals, and their rectal temperatures are relatively stable under normal conditions.”
The paper relies on this without support.
Sows have fewer sweat glands, so they dissipate heat differently from other animals.
“As sows have fewer sweat glands, they dissipate differently from other animals.”
The paper relies on this without support.
Sows are restricted by crates, and they recline or lie most of the time.
“Meanwhile, sows are restricted by crates, and they recline or lie most of the time.”
The paper relies on this without support.
Individual differences and lying position may affect a sow’s breathing.
“Individual differences and the lying position may also have an impact on a sow’s breathing.”
The paper relies on this without support.
THI only includes air temperature and relative humidity.
“As an environmental thermal index, THI only includes air temperature and relative humidity.”
The paper relies on this without support.
Relief of heat stress is essentially a process of heat dissipation, and air temperature and relative humidity are only part of the parameters of the heat dissipation process.
“Relief of heat stress is essentially a process of heat dissipation, and air temperature and relative humidity are only part of the parameters of the heat dissipation process.”
The paper relies on this without support.
The sow’s skin is directly exposed to the air, so skin temperature is greatly affected by the environment.
“Since the sow’s skin is directly exposed to the air, skin temperature is greatly affected by the environment.”
The paper relies on this without support.
Skin temperature is also affected by the sow’s internal heat production.
“Apart from the influence of external conditions, skin temperature is also affected by the sow’s internal heat production.”
The paper relies on this without support.
The skin of the sow is the main channel for heat exchange.
“The skin of the sow is the main channel for heat exchange.”
The paper relies on this without support.
The respiration rate changes after receiving the thermal sensory signal provided by the brain of the sow.
“The respiration rate changes after receiving the thermal sensory signal provided by the brain of the sow.”
The paper relies on this without support.
The respiration rate process has a delay compared to the skin.
“This process can inevitably have a delay compared to the skin.”
The paper relies on this without support.
Skin temperature is not only affected by the environment but also by the sow’s internal factors, and there are individual differences among different sows.
“Skin temperature is not only affected by the environment but also by the sow’s internal factors, and there are individual differences among different sows.”
The paper relies on this without support.
In a hot environment, sows are affected not only by air temperature and relative humidity, but also by air velocity.
“In a hot environment, sows will not only be affected by air temperature and relative humidity, but also by air velocity.”
The paper relies on this without support.
When air temperature is lower than sow skin temperature, increasing air velocity is beneficial to alleviate heat stress.
“When the air temperature is lower than the skin temperature of the sow, increasing the air velocity is beneficial to alleviate heat stress.”
The paper relies on this without support.
Increasing air velocity increases the convective heat transfer coefficient of the sow, which increases convective heat transfer.
“The main reason is that increasing the air velocity can increase the convective heat transfer coefficient of the sow, which is beneficial to increase the convective heat transfer of the sow.”
The paper relies on this without support.
Sensible heat is an indirect measurement, so errors will inevitably occur.
“Sensible heat is an indirect measurement, so errors will inevitably occur.”
The paper relies on this without support.
Large pigs tend to avoid heat, and small pigs tend to avoid cold.
“Moreover, large pigs tend to avoid heat, and little pigs tend to avoid cold.”
The paper relies on this without support.
The characteristic lengths of big pigs and small pigs are different, so their heat dissipation characteristics differ slightly.
“The characteristic lengths of big pigs and small pigs are different, so the heat dissipation characteristics will be slightly different.”
The paper relies on this without support.
The skin is a window for heat exchange between the sow and the external environment.
“The skin is a window for heat exchange between the sow and the external environment.”
The paper relies on this without support.
When the thermal environment is severe, the sow skin is stimulated at first.
“When the thermal environment is severe, the sow skin is stimulated at first.”
The paper relies on this without support.
Sows have individual differences, and sows in different regions have different environmental adaptations.
“Sows have individual differences, and sows in different regions have different environmental adaptations.”
The paper relies on this without support.
The balance between heat dissipation and heat production is affected by factors related to the sow itself and management, such as genotype, hair thickness, health status, productivity level, activity level, etc.
“However, the balance between heat dissipation and heat production is not only affected by environmental parameters, but also by other factors related to the sow itself and management, such as sow genotype, hair thickness, health status, productivity level, activity level, etc.”
The paper relies on this without support.
These animal or management-related factors change the range of threshold and heat stress categories.
“These animal or management-related factors change the range of threshold and heat stress categories.”
The paper relies on this without support.
THI has established heat stress thresholds that can be used to derive ETIS thresholds.
“Based on the linear regression model in Figure 7, heat stress threshold for ETIS can be developed based on thresholds developed for THI.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
ETIS thresholds do not follow the stated regression equation
MajorSubstituting the stated THI cutoffs of 74, 78 and 82 into the ETIS-THI equation gives ETIS values of approximately 19.2, 20.6 and 22.0 °C, not the reported thresholds of 33.1, 34.5 and 35.9 °C. The reported thresholds instead match an equation with a positive intercept.
“y = 0.3533x − 6.9249 (where y stands for ETIS (°C) and x stands for THI)”
“ETIS < 33.1 °C is considered to be suitable, 33.1 °C ≤ ETIS < 34.5 °C is considered to be mild, 34.5 °C ≤ ETIS < 35.9 °C is considered to be moderate, and ETIS ≥ 35.9 °C is considered to be severe.”
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Economic Losses from Heat Stress by US Livestock Industries
St-Pierre, N. R., Cobanov, B., & Schnitkey, G. (2003) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(03)74040-5 · Cited by 1,755 · cited 1× · see citing works
“According to reports, the annual economic losses caused by heat stress to the pig industry amounted to 299 million dollars in the US, and the number reached billions of dollars globally [8].”
BackgroundThom, E. C. (1959) · Weatherwise · doi:10.1080/00431672.1959.9926960 · Cited by 1,527 · see citing works
Black globe-humidity index (bghi) as comfort equation for dairy cows
Buffington, D. E., Collazo-Arocho, A., Canton, G. H., Pitt, D., Thatcher, W. W., & Collier, R. J. (1981) · Transactions of the ASAE · doi:10.13031/2013.34325 · Cited by 937 · cited 5× · see citing works
“Thermal Index Equation Skin TemperatureCorrelation (R) ETIS ETIS = T + 0.0006·(RH − 50)·T − 0.3132·u 0.6827·(38 − T)− 4.79 ·(1.0086·38 − T) + 4.8957·10−8· ( (38 + 273.15)4 − (T + 273.15)4 ) 0.82 THI [9] THI = T + 0.36·Twb + 41.5 0.78 THI [10] THI = 0.8·T + ( RH·(T−14.4) 100 ) + 46.4 0.79 THI [11] THI = 0.65·T + 0.35·T…”
BackgroundMethodInfluentialInverse Radiative Heat Transfer
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Hwang, R., Lin, T., & Matzarakis, A. (2010) · Building and Environment · doi:10.1016/j.buildenv.2010.10.017 · Cited by 354 · cited 1× · see citing works
“To integrate the effects of the radiation between the measured object and the surrounding surfaces, the mean radiant temperature was introduced [23,43,44].”
Kántor, N., & Unger, J. (2011) · Open Geosciences · doi:10.2478/s13533-011-0010-x · Cited by 321 · cited 1× · see citing works
“To integrate the effects of the radiation between the measured object and the surrounding surfaces, the mean radiant temperature was introduced [23,43,44].”
Lactation in the sow during heat stress
Black, J. L., Mullan, B. P., Lorschy, M. L., & Giles, L. R. (1993) · Livestock Production Science · doi:10.1016/0301-6226(93)90188-n · Cited by 301 · cited 1× · see citing works
“Heat stress can reduce fertility rate [3,4], decrease piglet weight gain [5], decrease milk production [6], increase weight loss through lactation [5] and increase death rate [7].”
BackgroundMatzarakis, A., & Amelung, B. (2008) · Springer eBooks · doi:10.1007/978-1-4020-6877-5_10 · Cited by 271 · see citing works
Influence of high ambient temperatures on performance of multiparous lactating sows
Quiniou, N., & Noblet, J. (1999) · Journal of Animal Science · doi:10.2527/1999.7782124x · Cited by 261 · cited 2× · see citing works
“Heat stress can reduce fertility rate [3,4], decrease piglet weight gain [5], decrease milk production [6], increase weight loss through lactation [5] and increase death rate [7].”
BackgroundThermal Biology of Domestic Animals
Collier, R. J., & Gebremedhin, K. G. (2015) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-022114-110659 · Cited by 239 · cited 1× · see citing works
“As the floor surface temperature is very close to the ambient air temperature, the air temperature is usually used as the floor surface temperature for calculations [41,42].”
MethodPhysiological consequences of heat stress in pigs
Ross, J. W., Hale, B. J., Gabler, N. K., Rhoads, R. P., Keating, A. F., & Baumgard, L. H. (2015) · Animal Production Science · doi:10.1071/an15267 · Cited by 202 · see citing works
Models of heat production and critical temperature for growing pigs
Bruce, J. M., & Clark, J. J. (1979) · Animal Science · doi:10.1017/s0003356100023266 · Cited by 199 · cited 1× · see citing works
“As the floor surface temperature is very close to the ambient air temperature, the air temperature is usually used as the floor surface temperature for calculations [41,42].”
MethodA correct enthalpy relationship as thermal comfort index for livestock
Rodrigues, V. C., da Silva, I. J. O., Vieira, F. M. C., & Nascimento, S. T. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-010-0344-y · Cited by 135 · cited 2× · see citing works
“The larger the correlation coefficient, the better the prediction of the thermal index [21].”
BackgroundPhysiological mechanisms through which heat stress compromises reproduction in pigs
Ross, J. W., Hale, B. J., Seibert, J. T., Romoser, M. R., Adur, M. K., Keating, A. F., & Baumgard, L. H. (2017) · Molecular Reproduction and Development · doi:10.1002/mrd.22859 · Cited by 128 · see citing works
Effect of Summer Weather on Performance of Holstein Cows in Three Stages of Lactation
Maust, L. E., Mcdowell, R. E., & Hooven, N. W. (1972) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(72)85635-2 · Cited by 123 · see citing works
Endocrine changes in sows exposed to elevated ambient temperature during lactation
Barb, C. R., Estienne, M. J., Kraeling, R. R., Marple, D. N., Rampacek, G. B., Rahe, C. H., & Sartin, J. L. (1991) · Domestic Animal Endocrinology · doi:10.1016/0739-7240(91)90046-m · Cited by 114 · cited 1× · see citing works
“Introduction Heat stress can affect the reproductive endocrine system in sows and inhibit the ovarian function, which in turn affects estrus activity [1], causing delayed estrus, hidden estrus or even no estrus phenomenon [2].”
BackgroundNutritional and physiological responses of growing pigs exposed to a diurnal pattern of heat stress
Patience, J. F., Umboh, J. F., Chaplin, R. K., & Nyachoti, C. M. (2005) · Livestock Production Science · doi:10.1016/j.livprodsci.2005.01.012 · Cited by 100 · see citing works
Effect of daily environmental temperature on farrowing rate and total born in dam line sows1
Bloemhof, S., Mathur, P. K., Knol, E. F., & van der Waaij, E. H. (2013) · Journal of Animal Science · doi:10.2527/jas.2012-5902 · Cited by 99 · cited 1× · see citing works
“Heat stress can reduce fertility rate [3,4], decrease piglet weight gain [5], decrease milk production [6], increase weight loss through lactation [5] and increase death rate [7].”
BackgroundInvestigation of indoor thermal comfort under transient conditions
Kaynaklı, Ö., & Kılıç, M. (2004) · Building and Environment · doi:10.1016/j.buildenv.2004.05.010 · Cited by 96 · see citing works
A predictive model of equivalent temperature index for dairy cattle (ETIC)
Wang, X., Gao, H., Gebremedhin, K. G., Bjerg, B. S., Van Os, J., Tucker, C. B., & Zhang, G. (2018) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2018.07.013 · Cited by 90 · cited 1× · see citing works
“T is the dry-bulb temperature of the air (◦C) Equation (5) is consistent with Wang’s equation [35], where the constant c represents the effect of air velocity changes on the convective heat transfer coefficient.”
MethodSelf-citationSow mortality associated with high ambient temperatures.
(1996) · Europe PMC (PubMed Central) · Cited by 80 · see citing works
The signifiance of meteorology in animal production
Bianca, W. (1976) · International Journal of Biometeorology · doi:10.1007/bf01553047 · Cited by 73 · see citing works
The effect of humidity on temperature regulation and cutaneous water loss in the young pig
Ingram, D. L. (1965) · Research in Veterinary Science · doi:10.1016/s0034-5288(18)34762-3 · Cited by 69 · see citing works
Effect of Floor Cooling on Behavior and Heart Rate of Late Lactation Sows Under Acute Heat Stress
Parois, S. P., Cabezón, F. A., Schinckel, A. P., Johnson, J. S., Stwalley, R. M., III, & Marchant, J. N. (2018) · Frontiers in Veterinary Science · doi:10.3389/fvets.2018.00223 · Cited by 67 · see citing works
TUMMARUK, P., TANTASUPARUK, W., TECHAKUMPHU, M., & KUNAVONGKRIT, A. (2004) · Journal of Veterinary Medical Science · doi:10.1292/jvms.66.477 · Cited by 66 · cited 1× · see citing works
“Heat stress can reduce fertility rate [3,4], decrease piglet weight gain [5], decrease milk production [6], increase weight loss through lactation [5] and increase death rate [7].”
BackgroundSows’ responses to increased heat load—A review
Bjerg, B., Brandt, P., Pedersen, P., & Zhang, G. (2020) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2020.102758 · Cited by 66 · cited 1× · see citing works
“Previous studies on the effect of air temperature on rectal temperature vary widely [50].”
BackgroundEffect of airflow speed and direction on convective heat transfer of standing and reclining cows
Wang, X., Zhang, G., & Choi, C. Y. (2018) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2017.12.011 · Cited by 62 · cited 1× · see citing works
“This constant is usually obtained by analyzing the relationship between air velocity and object convection heat transfer coefficient [36,37].”
BackgroundSelf-citationHog house air conditioning and ventilation data
Bond, T. E., Kelly, C. F., Heitman, A. H., & Jr. (1959) · Transactions of the ASAE · doi:10.13031/2013.41147 · Cited by 49 · cited 3× · see citing works
“The total heat dissipation of the sow will be affected by the sow’s convective heat transfer, radiation heat transfer, heat conduction and respiratory heat transfer [22,23,29], and those forms of heat dissipation will be affected by environmental factors such as air temperature, relative humidity airflow velocity and…”
BackgroundStudy on convective heat transfer from pig models by CFD in a virtual wind tunnel
Li, H., Rong, L., & Zhang, G. (2016) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2016.02.027 · Cited by 48 · cited 2× · see citing works
“This constant is usually obtained by analyzing the relationship between air velocity and object convection heat transfer coefficient [36,37].”
BackgroundMethodComputational prediction of the effective temperature in the lying area of pig pens
Bjerg, B., Rong, L., & Zhang, G. (2018) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.09.016 · Cited by 44 · cited 3× · see citing works
“Comparative Analysis of Various Thermal Indices The ETIS thermal index model was compared with models such as THI [9–16], BGHI [17,18], ET [19] and H [33].”
BackgroundMethodLangner, M., Scherber, K., & Endlicher, W. R. (2013) · Die Erde · doi:10.12854/erde-144-18 · Cited by 40 · see citing works
Seasonal infertility in large pig production units in an Eastern-European climate
ALMOND, P., & BILKEI, G. (2005) · Australian Veterinary Journal · doi:10.1111/j.1751-0813.2005.tb15627.x · Cited by 39 · cited 1× · see citing works
“Introduction Heat stress can affect the reproductive endocrine system in sows and inhibit the ovarian function, which in turn affects estrus activity [1], causing delayed estrus, hidden estrus or even no estrus phenomenon [2].”
BackgroundEffect of floor cooling on late lactation sows under acute heat stress
Cabezón, F. A., Schinckel, A. P., Marchant, J. N., Johnson, J. S., & Stwalley, R. M. (2017) · Livestock Science · doi:10.1016/j.livsci.2017.10.017 · Cited by 38 · cited 2× · see citing works
“099 ◦C, and minor changes cannot be accurately monitored [51].”
BackgroundEffective temperature for evaluating or designing hog environments
Beckett, F. E. (1965) · Transactions of the ASAE · doi:10.13031/2013.40457 · Cited by 29 · cited 2× · see citing works
“Equivalent Temperature Based on Relative Humidity Beckett [32] provides a chart to illustrate the combined effects of air temperature and relative humidity on pig growth.”
BackgroundPhysiological and endocrinological changes in response to terminal heat stress in swine
Marple, D. N., Jones, D. J., Alliston, C. W., & Forrest, J. C. (1974) · Journal of Animal Science · doi:10.2527/jas1974.39179x · Cited by 29 · see citing works
Mellado, M., Gaytán, L., Macías-Cruz, U., Avendaño, L., Meza-Herrera, C., Lozano, E. A., Rodríguez, Á., & Mellado, J. (2018) · Austral journal of veterinary sciences · doi:10.4067/s0719-81322018000100106 · Cited by 29 · cited 3× · see citing works
“[49] used THI [10] to analyze the pregnancy rate of sows.”
BackgroundMethodde Oliveira Júnior, G. M., Ferreira, A. S., Oliveira, R. F. M., Silva, B. A. N., de Figueiredo, E. M., & Santos, M. (2011) · Livestock Science · doi:10.1016/j.livsci.2011.06.001 · Cited by 28 · cited 5× · see citing works
“Thermal Index Equation Skin TemperatureCorrelation (R) ETIS ETIS = T + 0.0006·(RH − 50)·T − 0.3132·u 0.6827·(38 − T)− 4.79 ·(1.0086·38 − T) + 4.8957·10−8· ( (38 + 273.15)4 − (T + 273.15)4 ) 0.82 THI [9] THI = T + 0.36·Twb + 41.5 0.78 THI [10] THI = 0.8·T + ( RH·(T−14.4) 100 ) + 46.4 0.79 THI [11] THI = 0.65·T + 0.35·T…”
BackgroundMethodInfluentialLimiting Swine Stress with Evaporative Cooling in the Southwest
Fehr, R. L., Priddy, K. T., McNeill, S. G., & Overhults, D. G. (1983) · Transactions of the ASAE · doi:10.13031/2013.34182 · Cited by 20 · see citing works
Sleep and Wake Classification Based on Heart Rate and Respiration Rate
Li, W., Yang, X. D., Dai, A. N., & Chen, K. (2018) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/428/1/012017 · Cited by 12 · cited 2× · see citing works
“The respiration rate is also affected by the state of sleep [52].”
BackgroundNumerical simulations of airflow and convective heat transfer of a sow
Cao, M., Zong, C., Wang, X., Teng, G., Zhuang, Y., & Lei, K. (2020) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2020.08.020 · Cited by 11 · cited 1× · see citing works
“[40] was carried out, and the convective heat transfer coefficient of sows was found to be 0.”
Self-citationMassabie, P., Granier, & R. (2001) · 2001 Sacramento, CA July 29-August 1,2001 · doi:10.13031/2013.3536 · Cited by 9 · cited 1× · see citing works
“However, the sow spends most of the time lying down and resting [38,39].”
BackgroundCheng, K. S., & Lee, P. F. (2018) · Neurophysiology · doi:10.1007/s11062-019-09761-4 · Cited by 6 · see citing works
The exercise needs for tied and free-moving dry sows
Gravås, L. (1981) · Applied Animal Ethology · doi:10.1016/0304-3762(81)90073-0 · Cited by 5 · cited 1× · see citing works
“However, the sow spends most of the time lying down and resting [38,39].”
BackgroundBjerg, B. S., & Kai, P. (2019) · 2019 Boston, Massachusetts July 7- July 10, 2019 · doi:10.13031/aim.201900735 · Cited by 4 · cited 2× · see citing works
“The sow heat can be transferred to the floor surface [20,22].”
Background
Flagged first, then by citations
3 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
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Cited by
Sorted by citations
A review of ventilation and cooling systems for large-scale pig farms
Hu, Z., Yang, Q., Tao, Y., Shi, L. X., Tu, J. Y., & Wang, Y. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.104372 · Cited by 45 · see citing works
Modeling of Heat Stress in Sows Part 2: Comparison of Various Thermal Comfort Indices
Cao, M., Zong, C., Zhuang, Y., Teng, G., Zhou, S., & Yang, T. (2021) · Animals · doi:10.3390/ani11061498 · Cited by 31 · see citing works
Self-citationMcConn, B. R., Schinckel, A. P., Robbins, L., Gaskill, B. N., Green-Miller, A. R., Lay, D. C., Jr., & Johnson, J. S. (2022) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-022-00789-x · Cited by 14 · see citing works
Li, H., Li, B., Li, H., et al. (2024) · Animals · doi:10.3390/ani14030485 · Cited by 6 · see citing works
Du, L., Tao, X., Zhu, L., et al. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109308 · Cited by 5 · see citing works
Huang, T., Zhang, G., & Li, R. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107142 · Cited by 5 · see citing works
Villa-Mancera, A., Méndez-Rosas, M., & Cruz-Aviña, J. R. (2024) · Animal Production Science · doi:10.1071/an23181 · Cited by 3 · see citing works
Brandt, P., & Bjerg, B. (2023) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2023.103770 · Cited by 2 · see citing works
Zhuang, Y., Cao, M., Ji, H., Liu, Y., Li, S., Zhang, J., Wang, C., & Teng, G. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110828 · Cited by 2 · see citing works
Self-citationOptimal HVAC Scheduling with Energy Saving to Satisfy Livestock’s Quality of Life
Do, T. D., Nguyen, H., Ngo, Q. S., et al. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-95-1746-6_70 · Cited by 2 · see citing works
Heat stress-induced CYP1A2 upregulation in sow ovarian granulosa cells
Kim, T.-H., Lee, H., Kim, S., Son, Y., Heo, S.-E., Kim, D., Kim, S.-J., & Lee, W. (2025) · Journal of Animal Reproduciton and Biotechnology · doi:10.12750/jarb.40.2.90 · Cited by 1 · see citing works
Chavez-Flores, M., Villa-Mancera, A., Robles-Robles, J. M., et al. (2026) · Veterinary Sciences · doi:10.3390/vetsci13030270 · Cited by 1 · see citing works
“The most commonly utilized thermal indices include the enthalpy (H), equivalent temperature index of sows (ETIS), effective temperature (ET), black globe–humidity index (BGHI), and THI [14].”
Climatic stress in pregnant sows: adaptive responses and effects on productivity
Порошинська, О. А., Shmayun, S., Стовбецька, Л. С., et al. (2021) · Naukovij vìsnik veterinarnoï medicini · doi:10.33245/2310-4902-2021-168-2-147-157
Explainable machine learning for skin temperature estimation in group-housed finishing pigs
Zhuang, Y., Ji, H., Teng, G., Hao, Z., Zhao, C., Li, Q., Zhou, Z., Liu, Y., Yu, L., & Yang, G. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.101843
Self-citationProof-of-concept thermoelectrically cooled sow-cooling mat
Pan, J., Shah, S. B., Leonard, S. M., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-42237-0
Optimal scheduling for HVAC with a combination of PSO and Adam algorithms
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Shirsath, P. B., Mayengbam, P., Sah, A. K., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-67519-5
Liu, K. Y., Wang, Y., Liang, W., et al. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114987
Patterns and drivers of uncovered outdoor run use in group-housed sows after weaning
Geisler, S., Pabst, K., Hasler, M., et al. (2026) · Livestock Science · doi:10.1016/j.livsci.2026.106030
- Authors
- Cao, M., Zong, C., Wang, X., Teng, G., Zhuang, Y., & Lei, K.
- Affiliations
- Ministry of Agriculture and Rural Affairs (CN)
- Zhejiang University (CN)
- Corresponding author
- Zong, Chao
- Venue
- Animals
- Publisher
- MDPI AG
- Published
- 2021-05-20
- Volume
- 11
- Issue
- 5
- Pages
- 1472
- ISSN
- 2076-2615 (ISSN-L)
- PMC
- PMC8161218
- OpenAlex
- W3163056724
- Semantic Scholar
- 9ac0a6641b413ec0cfe96c6a0313f90fceeb3f21
- Cited by
- 19
- References
- 50
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 3 · 2023: 1 · 2022: 3 · 2021: 2
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Animals (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Research and Development Plan of China (2016YFD0700204)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Effects of Environmental Stressors on Livestock
- Health Sciences › Medicine › Physiology › Thermoregulation and physiological responses
- Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
- Keywords
- heat stress, sows, thermal comfort, thermal index, temperature-humidity index, skin temperature, air temperature, relative humidity, air velocity, heat stress threshold, estrus, conception rate
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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