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Strategies to improve the efficiency of beef cattle production
Open accessAbstract
Globally, there are approximately one billion beef cattle, and compared with poultry and swine, beef cattle have the poorest conversion efficiency of feed to meat. However, these metrics fail to consider that beef cattle produce high-quality protein from feeds that are unsuitable for other livestock species. Strategies to improve the efficiency of beef cattle are focusing on operational and breeding management, host genetics, functional efficiency of rumen and respiratory microbiomes, and the structure and composition of feed. These strategies must also consider the health and immunity of the herd as well as the need for beef cattle to thrive in a changing environment. Genotyping can identify hybrid vigor with positive consequences for animal health, productivity, and environmental adaptability. The role of microbiome–host interactions is key in efficient nutrient digestion and host health. Microbial markers and gene expression patterns within the rumen microbiome are being used to identify hosts that are efficient at fibre digestion. Plant breeding and processing are optimizing the feed value of both forages and concentrates. Strategies to improve the efficiency of cattle production are a prerequisite for the sustainable intensification needed to satisfy the future demand for beef.
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“However, genetic manipulation of rumen microbiota is also possible through different techniques as host genetics influences some heritable microbial traits (81–83).”
From Phytogenic Additives Can Modulate Rumen Microbiome to Mediate Fermentation Kinetics and Methanogenesis Through Exploiting Diet–Microbe Interaction (2020) · cites this paper as [83]
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Cites
Energy contributions of volatile fatty acids from the gastrointestinal tract in various species
Bergman, E. N. (1990) · Physiological Reviews · doi:10.1152/physrev.1990.70.2.567 · Cited by 2,750 · cited 1×
“This suggests that the observed variation in the abundance of a particular bacterial taxa can lead to varied production of short-chain fatty acids, which supply up to 70% of energy to the animal (Bergman 1990).”
BackgroundJohnson, K. A., & Johnson, D. E. (1995) · Journal of Animal Science · doi:10.2527/1995.7382483x · Cited by 2,714 · cited 2×
“Stoichiometry calculations suggest that enteric CH4 production represents an energetic loss in ruminants of 2%–12% of gross energy intake (Johnson and Johnson 1995).”
BackgroundHenderson, G., Cox, F., Ganesh, S., Jonker, A., Young, W., Collaborators, G. R. C., Abecia, L., Angarita, E., Aravena, P., Nora Arenas, G., et al. (2015) · Scientific Reports · doi:10.1038/srep14567 · Cited by 1,682 · cited 3×
“However, given that the composition of the microbiome is overwhelmingly determined by the nature of the diet (Henderson et al. 2015) and the apparent variation in the rumen microbial indicators associated with RFI, their usefulness is yet to be proven.”
BackgroundInfluentialSelf-citationEfficiency of Feed Use in Beef Cattle
Koch, R. M., Swiger, L. A., Chambers, D., & GREGORY, K. E. (1963) · Journal of Animal Science · doi:10.2527/jas1963.222486x · Cited by 1,304 · cited 1×
“Koch et al. (1963) defined RFI in youthful cattle as the difference between actual feed consumed and predicted feed intake based on maintenance and growth.”
BackgroundNutrient Requirements of Beef Cattle, 7th ed
Gibb, D. J. (1997) · Europe PMC (PubMed Central) · Cited by 1,143
Livestock: On our plates or eating at our table? A new analysis of the feed/food debate
Mottet, A., de Haan, C., Falcucci, A., Tempio, G., Opio, C., & Gerber, P. (2017) · Global Food Security · doi:10.1016/j.gfs.2017.01.001 · Cited by 1,034 · cited 7×
“Although FCR is a superior measurement over average daily gain, FCR metrics do not account for the nutritional value of feed consumed or the human nutritional value placed on the output gain (Mottet et al. 2017).”
BackgroundInfluentialGrowth, efficiency, and yield of commercial broilers from 1957, 1978, and 2005
Zuidhof, M. J., Schneider, B. L., Carney, V. L., Korver, D. R., & Robinson, F. E. (2014) · Poultry Science · doi:10.3382/ps.2014-04291 · Cited by 862
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants.
Shabat, S. K. B., Sasson, G., Doron-Faigenboim, A., Durman, T., Yaacoby, S., Berg Miller, M. E., White, B. A., Shterzer, N., & Mizrahi, I. (2016) · The ISME Journal · doi:10.1038/ismej.2016.62 · Cited by 823 · cited 6×
“Coprococcus catus was enriched in the rumen of efficient dairy cows that exhibited increased propionate and butyrate production, a shift in fermentation that may reduce the availability of metabolic hydrogen to reduce carbon dioxide to CH4 (Shabat et al. 2016).”
BackgroundInfluentialExtracellular Vesicles Isolated from the Leaf Apoplast Carry Stress-Response Proteins
Rutter, B. D., & Innes, R. W. (2016) · PLANT PHYSIOLOGY · doi:10.1104/pp.16.01253 · Cited by 663 · cited 1×
“For example, exosomes in the apoplasts of Arabidopsis leaves were shown to be enriched in defense and stress-related proteins as a result of exposure to abiotic stress (Rutter and Innes 2017).”
BackgroundTeymouri, F., Laureano-Pérez, L., Alizadeh, H., & Dale, B. E. (2005) · Bioresource Technology · doi:10.1016/j.biortech.2005.01.016 · Cited by 551 · cited 3×
“AFEX involves exposing recalcitrant fibre to steam and anhydrous ammonia at high pressure and temperature for 1 h, followed by rapid depressurization and ammonia recovery (Teymouri et al. 2005).”
BackgroundPhysiological basis for residual feed intake.
Herd, R., & Arthur, P. (2009) · Journal of Animal Science · doi:10.2527/jas.2008-1345 · Cited by 539 · cited 3×
“(Herd and Arthur 2009; Basarab et al. 2013).”
BackgroundLi, F., Li, C., Chen, Y., Liu, J., Zhang, C., Irving, B., Fitzsimmons, C., Plastow, G., & Guan, L. L. (2019) · Microbiome · doi:10.1186/s40168-019-0699-1 · Cited by 530
Residual feed intake and body composition in young growing cattle
Basarab, J. A., Price, M. A., Aalhus, J. L., Okine, E. K., Snelling, W. M., & Lyle, K. L. (2003) · Canadian Journal of Animal Science · doi:10.4141/a02-065 · Cited by 507 · cited 1×
“Dependant on cattle productive stage, RFI can be used to estimate feed efficiency independent of growth rate, body composition, fat deposition, changes in conceptus weight, milk yield, and milk Published by NRC Research Press composition (Basarab et al. 2003; Basarab et al. 2007).”
MethodRumen Microbiome from Steers Differing in Feed Efficiency
Myer, P. R., Smith, T. P. L., Wells, J. E., Kuehn, L. A., & Freetly, H. C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129174 · Cited by 434 · cited 2×
“2018), whereas Butyrivibrio, Anaerovibrio (Myer et al. 2015), and Lachnospiraceae, Lactobacillaceae and Veillonellaceae have been associated with less efficient cattle (Li and Guan 2017).”
BackgroundThe rumen microbial metagenome associated with high methane production in cattle
Wallace, R. J., Rooke, J. A., McKain, N., Duthie, C.-A., Hyslop, J. J., Ross, D. W., Waterhouse, A., Watson, M., & Roehe, R. (2015) · BMC Genomics · doi:10.1186/s12864-015-2032-0 · Cited by 416 · cited 2×
“Published by NRC Research Press Methanobrevibacter were 2.5 times more abundant in high than low CH4 producing beef cattle, whereas Succinivibrionaceaewere 75.9%more abundant in low than high CH4 producing cattle (Wallace et al. 2015).”
BackgroundInfluentialMethane yield phenotypes linked to differential gene expression in the sheep rumen microbiome
Shi, W., Moon, C. D., Leahy, S. C., Kang, D., Froula, J., Kittelmann, S., Fan, C., Deutsch, S., Gagic, D., Seedorf, H., et al. (2014) · Genome Research · doi:10.1101/gr.168245.113 · Cited by 414 · cited 3×
“and a decreased abundance of Methanobrevibacter gottschalkii (Shi et al. 2014).”
BackgroundInfluentialThe emerging and uncultivated potential of CRISPR technology in plant science
Zhang, Y., Malzahn, A. A., Sretenovic, S., & Qi, Y. (2019) · Nature Plants · doi:10.1038/s41477-019-0461-5 · Cited by 414 · cited 1×
“CRISPR technology is more cost effective, precise, and highly efficient compared with other genomic technologies like zinc finger nucleases and transcriptional activator-like effector nucleases (Zhang et al. 2019).”
BackgroundCD24 is a marker of exosomes secreted into urine and amniotic fluid
Keller, S., Rupp, C., Stoeck, A., Runz, S., Fogel, M., Lugert, S., Hager, H. D., Abdel‐Bakky, M. S., Gutwein, P., & Altevogt, P. (2007) · Kidney International · doi:10.1038/sj.ki.5002486 · Cited by 384 · cited 1×
“In animals, exosomes are secreted mainly by red blood cells, platelets, and lymphocytes (Mandal 2017), and they are present in biological fluids including milk, urine, blood plasma, and amniotic fluid (Keller et al. 2007).”
BackgroundCELL BIOLOGY SYMPOSIUM: Genetics of feed efficiency in dairy and beef cattle1
Berry, D. P., & Crowley, J. J. (2013) · Journal of Animal Science · doi:10.2527/jas.2012-5862 · Cited by 377 · cited 1×
“Similarly, RFI has been found to be moderately heritable (h2 = 0.16–0.43) in growing cattle (Berry and Crowley 2013).”
BackgroundInfluentialLi, F., & Guan, L. L. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00061-17 · Cited by 372 · cited 3×
“Other genera associated with efficient cattle include Coprococcus (Zhou et al. 2018), whereas Butyrivibrio, Anaerovibrio (Myer et al. 2015), and Lachnospiraceae, Lactobacillaceae and Veillonellaceae have been associated with less efficient cattle (Li and Guan 2017).”
BackgroundGallo, A., Giuberti, G., Frisvad, J. C., Bertuzzi, T., & Nielsen, K. F. (2015) · Toxins · doi:10.3390/toxins7083057 · Cited by 361 · cited 2×
“Similarly, grazed forages, hay, silages, and grains are often contaminated by a wide range of mycotoxins, toxic molecules produced by fungi, often as a result of unfavourable ensiling and storage conditions (Gallo et al. 2015).”
BackgroundAndersson, L., Archibald, A. L., Bottema, C. D. K., Bräuning, R., Burgess, S. C., Burt, D. W., Casas, E., Cheng, H. H., Clarke, L., Couldrey, C., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0622-4 · Cited by 361 · cited 1×
“The Functional Annotation of Animal Genomes project also aims to understand how variation in gene sequences and functional expression determines phenotypic diversity (Andersson et al. 2015).”
BackgroundMiller, L. A., Moorby, J. M., Davies, D. R., Humphreys, M. O., Scollan, N. D., MacRae, J. C., & Theodorou, M. K. (2001) · Grass and Forage Science · doi:10.1046/j.1365-2494.2001.00288.x · Cited by 357 · cited 1×
“A perennial ryegrass that was selected for higher concentrations of water-soluble carbohydrates, improved milk production and total tract neutral detergent fibre and acid detergent fibre digestibility in dairy cows as compared with conventional ryegrass (Miller et al. 2001).”
BackgroundDuin, E. C., Wagner, T., Shima, S., Prakash, D., Cronin, B., Yáñez-Ruiz, D. R., Duval, S., Rümbeli, R., Stemmler, R. T., Thauer, R. K., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600298113 · Cited by 339 · cited 1×
“However, an in vitro incubation found that once all 3-NOP is utilized, CH4 production returns to pre-treatment levels within 5 h (Duin et al. 2016).”
BackgroundCarberry, C. A., Kenny, D. A., Han, S., McCabe, M. S., & Waters, S. M. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.07759-11 · Cited by 325 · cited 3×
“Both confined beef (Carberry et al. 2012; Carberry et al. 2014) and dairy cattle (Jewell et al. 2015) with low RFI had lower proportions of Prevotella within their rumen microbiome.”
BackgroundHayes, B. J., & Goddard, M. E. (2010) · Genome · doi:10.1139/g10-076 · Cited by 320 · cited 1×
“Unlike marker-assisted selection, genomic selection is based on associating thousands of genetic markers spread densely across thousands of reference animals (Hayes and Goddard 2010).”
BackgroundGuan, L. L., Nkrumah, J. D., Basarab, J. A., & Moore, S. S. (2008) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2008.01343.x · Cited by 307 · cited 2×
“2015), although intrinsic relationships between host genetics, rumen microbial population, and phenotypic feed efficiency have also been demonstrated (Guan et al. 2008; Hernandez-Sanabria et al. 2013; Li et al. 2019).”
BackgroundEfficacy of ionophores in cattle diets for mitigation of enteric methane1
Guan, H., Wittenberg, K. M., Ominski, K., & Krause, D. O. (2006) · Journal of Animal Science · doi:10.2527/jas.2005-652 · Cited by 304 · cited 1×
“For example, monensin was shown to reduce enteric CH4 emissions in the short term, but this reduction was not sustained over 4 wk of continuous administration (Guan et al. 2006).”
BackgroundThe environmental impact of beef production in the United States: 1977 compared with 2007.
Capper, J. (2011) · Journal of Animal Science · doi:10.2527/jas.2010-3784 · Cited by 292
Callaway, T. R., Dowd, S. E., Edrington, T. S., Anderson, R. C., Krueger, N., Bauer, N., Kononoff, P. J., & Nisbet, D. J. (2010) · Journal of Animal Science · doi:10.2527/jas.2010-2900 · Cited by 289 · cited 1×
“Furthermore, most rumen microbiota have yet to be cultured in the laboratory and characterizing their specific enzymatic and metabolic activities will likely be a key step in defining their impact on feed efficiency (Callaway et al. 2010).”
BackgroundJewell, K. A., McCormick, C. A., Odt, C. L., Weimer, P. J., & Suen, G. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.00720-15 · Cited by 287 · cited 3×
“Both confined beef (Carberry et al. 2012; Carberry et al. 2014) and dairy cattle (Jewell et al. 2015) with low RFI had lower proportions of Prevotella within their rumen microbiome.”
BackgroundThe future of CRISPR technologies in agriculture
Gao, C. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2018.2 · Cited by 273 · cited 1×
“Successful gene editing within plants has also been shown using CRISPR technology which has resulted in genetic resistance against fungi, increased yield during drought stress, and increased genetic variation within certain crops (Gao 2018).”
BackgroundGenome edited sheep and cattle
Proudfoot, C., Carlson, D. F., Huddart, R., Long, C. R., Pryor, J. H., King, T., Lillico, S. G., Mileham, A. J., McLaren, D. G., Whitelaw, B., et al. (2014) · Transgenic Research · doi:10.1007/s11248-014-9832-x · Cited by 270 · cited 2×
“2017), increased muscling (Proudfoot et al. 2015), and elimination of the horned trait (Carroll et al.”
BackgroundAssociation of mitochondrial function and feed efficiency in poultry and livestock species1
Bottje, W. G., & Carstens, G. E. (2008) · Journal of Animal Science · doi:10.2527/jas.2008-1379 · Cited by 268 · cited 2×
“Protein turnover, ion pumping associated with Na/K ATPase and mitochondrial proton leakage accounted for 20% of the total inter-animal variation in basal energy expenditure (Bottje and Carstens 2009).”
BackgroundNaturally Occurring Exosome Vesicles as Potential Delivery Vehicle for Bioactive Compounds
Akuma, P., Okagu, O. D., & Udenigwe, C. C. (2019) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2019.00023 · Cited by 268 · cited 2×
“Exosomes are vesicles formed within animal and plant cells that are involved in cell communication and Published by NRC Research Press nutrient delivery (Akuma et al. 2019) and have the potential to radically improve efficiency.”
BackgroundWeimer, P. J., Stevenson, D. M., Mantovani, H. C., & Man, S. L. C. (2010) · Journal of Dairy Science · doi:10.3168/jds.2010-3500 · Cited by 267 · cited 1×
“For example, total rumen transfaunation did not permanently alter the microbiome, with it returning to its original state in some individuals within 7 d (Weimer et al. 2010; Zhou et al. 2018).”
BackgroundLignocellulosic Biomass Pretreatment Using AFEX
Balan, V., Bals, B. D., Chundawat, S. P. S., Marshall, D., & Dale, B. E. (2009) · Methods in molecular biology · doi:10.1007/978-1-60761-214-8_5 · Cited by 259 · cited 1×
“This combination of physical and chemical treatment disrupts hydrogen, ether, and ester bonds, partially solubilizes lignin, and hydrolyses hemicellulose to a greater extent than conventional alkali treatments (Teymouri et al. 2005; Balan et al. 2009).”
BackgroundCantalapiedra-Hijar, G., Abo-Ismail, M. K., Carstens, G. E., Guan, L. L., Hegarty, R., Kenny, D. A., McGee, M., Plastow, G. S., Relling, A. E., & Marty, I. O. (2018) · animal · doi:10.1017/s1751731118001489 · Cited by 255 · cited 1×
“Understanding the biological and physiological pathways underlying variation in RFI can focus selection on those genes that are most pertinent to efficiency (Cantalapiedra-Hijar et al. 2018; Kenny et al. 2018).”
BackgroundEnvironmental impacts of beef production: Review of challenges and perspectives for durability
Gerber, P. J., Mottet, A., Opio, C. I., Falcucci, A., & Teillard, F. (2015) · Meat Science · doi:10.1016/j.meatsci.2015.05.013 · Cited by 248 · cited 1×
“Although the beef industry is often criticized for its large consumption of grains, only 7%–13% of world beef production is based upon grainfeeding systems (Gerber et al. 2015; Mottet et al. 2018).”
BackgroundSingle Cas9 nickase induced generation of NRAMP1 knockin cattle with reduced off-target effects
Gao, Y., Wu, H., Wang, Y., Liu, X., Chen, L., Li, Q., Cui, C., Liu, X., Zhang, J., & Zhang, Y. (2017) · Genome biology · doi:10.1186/s13059-016-1144-4 · Cited by 246
Kenny, D. A., Fitzsimons, C., Waters, S. M., & McGee, M. (2018) · animal · doi:10.1017/s1751731118000976 · Cited by 241 · cited 4×
“…acclimatized to a feed intake measurement system for a 21 d period, followed by a 45–50 d measurement period that requires body weight to be recorded on two consecutive days at the beginning, end, and at regular intervals throughout the feeding period (Manafiazar et al. 2017; Kenny et al. 2018).”
BackgroundMethodInfluentialHaque, E., Taniguchi, H., Hassan, M. M., Bhowmik, P., Karim, M. R., Śmiech, M., Zhao, K., Rahman, M., & Islam, T. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00617 · Cited by 236 · cited 1×
“Climate change influences crop production through altered weather patterns, increased soil salinity, drought, and susceptibility to disease and insect attack (Haque et al. 2018).”
BackgroundKlima, C. L., Zaheer, R., Cook, S. R., Booker, C. W., Hendrick, S., Alexander, T. W., & McAllister, T. A. (2014) · Journal of Clinical Microbiology · doi:10.1128/jcm.02485-13 · Cited by 229 · cited 1×
“Bacteria frequently associated with BRD include Mannheimia haemolytica, Pasteurella multocida, Histophilus somnus, Pasteurella multocida, Trueperella pyogenes, and Mycoplasma bovis (Klima et al. 2014; Zeineldin et al. 2019).”
BackgroundSelf-citationOxidative Lime Pretreatment of High-Lignin Biomass: Poplar Wood and Newspaper
Chang, V. S., Nagwani, M., Kim, C., & Holtzapple, M. T. (2001) · Applied Biochemistry and Biotechnology · doi:10.1385/abab:94:1:01 · Cited by 225 · cited 1×
“Alkali treatments including ammonia, sodium hydroxide, oxidative lime, calcium oxide, and calcium hydroxide have been successfully employed to increase ruminal fibre degradation and the nutritional value of lowquality feeds (Chang et al. 2001; Adesogan et al. 2019).”
BackgroundSchneider, M. J., Tait, R. G., Busby, W. D., & Reecy, J. M. (2009) · Journal of Animal Science · doi:10.2527/jas.2008-1283 · Cited by 217 · cited 1×
“In a further evaluation of 5976 feedlot cattle, BRD was associated with a 0.37 kg d−1 loss in average daily gain and a reduction in carcass weight of 8.16 kg (Schneider et al. 2009).”
BackgroundInfluentialBasarab, J. A., Beauchemin, K. A., Baron, V. S., Ominski, K., Guan, L., Miller, S. P., & Crowley, J. J. (2013) · animal · doi:10.1017/s1751731113000888 · Cited by 202 · cited 1×
“(Herd and Arthur 2009; Basarab et al. 2013).”
Crossbreeding in Beef Cattle: Evaluation of Systems1
GREGORY, K. E., & Cundiff, L. V. (1980) · Journal of Animal Science · doi:10.2527/jas1980.5151224x · Cited by 201 · cited 1×
“Carcass size of slaughter cattle was approximately 250 kg, and this trend only started to be reversed in the early 1970s due to the selection for increased growth rate and larger framed cattle through cross breeding (Berg 1975; Berg et al. 1979; Gregory and Cundiff 1980; Fredeen et al. 1981).”
BackgroundGenetics of efficient feed utilization and national cattle evaluation: a review.
Crews, D. H. (2005) · PubMed · Cited by 191
Symposium review: Technologies for improving fiber utilization
Adesogan, A. T., Arriola, K. G., Jiang, Y., Oyebade, A., de Paula, E. M., Pech-Cervantes, A. A., Romero, J. J., Ferraretto, L. F., & Vyas, D. (2019) · Journal of Dairy Science · doi:10.3168/jds.2018-15334 · Cited by 181 · cited 5×
“Mechanical processing including chopping, shredding, and pelleting can increase the surface area for microbial attachment, reduce gut fill, and increase feed intake (Adesogan et al. 2019).”
BackgroundInfluentialAnimal size and efficiency: basic concepts
Dickerson, G. E. (1978) · Animal Science · doi:10.1017/s0003356100036278 · Cited by 168 · cited 1×
“It is theorized that a 20% increase in reproductive rate of the cow herd would reduce the total feed energy requirement per kilogram of edible product by approximately 12% (Dickerson 1978).”
BackgroundBurns, B. M., Fordyce, G., & Holroyd, R. G. (2010) · Animal Reproduction Science · doi:10.1016/j.anireprosci.2010.04.010 · Cited by 167 · cited 2×
“Similarly, the use of artificial insemination and other breeding technologies is limited, slowing the rate of genetic progress (Burns et al. 2010).”
BackgroundJayanegara, A., Sarwono, K. A., Kondo, M., Matsui, H., Ridla, M., Laconi, E. B., & Nahrowi (2018) · Italian Journal of Animal Science · doi:10.1080/1828051x.2017.1404945 · Cited by 158 · cited 1×
“Alternatively, the CH4 inhibitor 3-NOP is extremely effective in inhibiting the activity of methanogens within the rumen if it is administered daily with no evidence of adaptation (Jayanegara et al. 2018).”
BackgroundBulle, F. C. P. C., Paulino, P. V. R., Sanches, A. C., & Sainz, R. D. (2007) · Journal of Animal Science · doi:10.2527/jas.2006-373 · Cited by 152 · cited 1×
“Cattle with larger frame and carcass weight divert energy towards production more efficiently than smaller framed animals that divert more energy towards Published by NRC Research Press maintenance (Castro Bulle et al. 2007).”
BackgroundThe nasopharyngeal microbiota of feedlot cattle that develop bovine respiratory disease
Holman, D. B., McAllister, T. A., Topp, E., Wright, A. G., & Alexander, T. W. (2015) · Veterinary Microbiology · doi:10.1016/j.vetmic.2015.07.031 · Cited by 150 · cited 3×
“Bovine respiratory disease is the most common cause of morbidity and mortality in feedlot cattle, resulting in production, welfare, and economic losses (Holman et al. 2015).”
BackgroundRumen bacterial community structure impacts feed efficiency in beef cattle
Paz, H. A., Hales, K. E., Wells, J. E., Kuehn, L. A., Freetly, H. C., Berry, E. D., Flythe, M. D. D., Spangler, M. L., & Fernando, S. C. (2018) · Journal of Animal Science · doi:10.1093/jas/skx081 · Cited by 150 · cited 1×
“Recent work has estimated that approximately 20% of the variation in production and efficiency traits in beef cattle (i.e., average daily feed intake, average daily gain, and FCR) were explained by variation in the microbiome (Paz et al. 2018).”
BackgroundRelationships between progeny residual feed intake and dam productivity traits
Basarab, J. A., McCartney, D. H., Okine, E. K., & Baron, V. S. (2007) · Canadian Journal of Animal Science · doi:10.4141/cjas07026 · Cited by 148 · cited 1×
“Dependant on cattle productive stage, RFI can be used to estimate feed efficiency independent of growth rate, body composition, fat deposition, changes in conceptus weight, milk yield, and milk Published by NRC Research Press composition (Basarab et al. 2003; Basarab et al. 2007).”
MethodBasarab, J. A., Colazo, M. G., Ambrose, D. J., Novak, S., McCartney, D. H., & Baron, V. S. (2011) · Canadian Journal of Animal Science · doi:10.4141/cjas2011-010 · Cited by 146
Romero-Pérez, A., Okine, E. K., McGinn, S. M., Guan, L., Oba, M., Duval, S. M., Kindermann, M., & Beauchemin, K. A. (2015) · Journal of Animal Science · doi:10.2527/jas.2014-8726 · Cited by 136 · cited 1×
“Similarly, the addition of 3-NOP to a high forage diet resulted in a consistent reduction in CH4, though once removed, CH4 production returned to pre-treatment levels (Romero-Perez et al. 2015).”
BackgroundLima, S. F., Teixeira, A. G. V., Higgins, C. H., de Lima, F. S., & Bicalho, R. C. (2016) · Scientific Reports · doi:10.1038/srep29050 · Cited by 136 · cited 1×
“Alternatively, although deep nasophyaryngeal and pharyngeal swabs revealed shifts in bacterial taxa between healthy and BRD calves, there was no difference in the diversity of the microbial community (Lima et al. 2016; Zeineldin et al. 2017).”
BackgroundAdaptation strategies: ruminants
Gaughan, J. B., Sejian, V., Mader, T. L., & Dunshea, F. R. (2018) · Animal Frontiers · doi:10.1093/af/vfy029 · Cited by 131
Maternal productivity of Angus cows divergently selected for post-weaning residual feed intake
Arthur, P. F., Herd, R. M., Wilkins, J. F., & Archer, J. A. (2005) · Australian Journal of Experimental Agriculture · doi:10.1071/ea05052 · Cited by 130 · cited 1×
“Additionally, selection for low RFI had no effect on calving, pregnancy, or weaning rates (Arthur et al. 2005; Basarab et al. 2011; Callum et al. 2018).”
BackgroundMottet, A., Teillard, F., Boettcher, P. J., Besi, G. D., & Besbes, B. (2018) · animal · doi:10.1017/s1751731118002215 · Cited by 124 · cited 2×
“Although the beef industry is often criticized for its large consumption of grains, only 7%–13% of world beef production is based upon grainfeeding systems (Gerber et al. 2015; Mottet et al. 2018).”
BackgroundZhou, M., Peng, Y., Chen, Y., Klinger, C. M., Oba, M., Liu, J., & Guan, L. L. (2018) · Microbiome · doi:10.1186/s40168-018-0447-y · Cited by 121 · cited 5×
“Other genera associated with efficient cattle include Coprococcus (Zhou et al. 2018), whereas Butyrivibrio, Anaerovibrio (Myer et al.”
BackgroundInfluentialRodrigues, R. T. D. S., Chizzotti, M. L., Vital, C. E., Baracat‐Pereira, M. C., Barros, E., Busato, K. C., Gomes, R. A., Ladeira, M. M., & Martins, T. D. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170294 · Cited by 116 · cited 3×
“taurus breeds are cold tolerant and produce higher quality beef (Rodrigues et al. 2017).”
BackgroundResultInfluentialSnowder, G. D., Vleck, L. D. V., Cundiff, L. V., & Bennett, G. L. (2005) · Journal of Animal Science · doi:10.2527/2005.8361247x · Cited by 111 · cited 3×
“, uterine environment and colostrum) influence the genetic susceptibility of the offspring to respiratory disease (Snowder et al. 2005).”
BackgroundInfluentialBarley grain for ruminants: A global treasure or tragedy
Nikkhah, A. (2012) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/2049-1891-3-22 · Cited by 110 · cited 2×
“the rumen being exceeded by the production of organic acids (Nikkhah 2012).”
BackgroundContribution of the Mucosal Microbiota to Bovine Respiratory Health
Zeineldin, M. M., Lowe, J. F., & Aldridge, B. M. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2019.04.005 · Cited by 107 · cited 2×
“Commensal bacteria can inhibit the proliferation of bacterial pathogens through competition for nutrients, competitive exclusion, and the production of antimicrobials (Zeineldin et al. 2019).”
BackgroundTimsit, E., Workentine, M. L., van der Meer, F. J. U. M., & Alexander, T. W. (2018) · Veterinary Microbiology · doi:10.1016/j.vetmic.2018.06.007 · Cited by 104 · cited 1×
“In calves diagnosed with BRD, the respiratory tract microbiome was shown to be characterised by a reduction in bacterial richness and evenness (Holman et al. 2015; Timsit et al. 2018).”
BackgroundSaatchi, M., Beever, J. E., Decker, J. E., Faulkner, D. B., Freetly, H. C., Hansen, S. L., Yampara-Iquise, H., Johnson, K. A., Kachman, S. D., Kerley, M. S., et al. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-1004 · Cited by 102 · cited 2×
“However, these quantitative trait loci are defined as population specific and have little overlap with other populations of cattle (Saatchi et al. 2014).”
BackgroundPolymorphism of the GHR gene in cattle and relationships with meat production and quality
Stasio, L. D., Destefanis, G., Brugiapaglia, A., Albera, A., & Rolando, A. (2005) · Animal Genetics · doi:10.1111/j.1365-2052.2005.01244.x · Cited by 99 · cited 1×
“GHR encodes for a receptor for growth hormone which influences growth, function and metabolism, and cellular storage of carbohydrates, proteins, and lipids (Di Stasio et al. 2005).”
BackgroundRelationship of various incoming cattle traits with feedlot performance and carcass traits1
Reinhardt, C. D., Busby, W. D., & Corah, L. R. (2009) · Journal of Animal Science · doi:10.2527/jas.2008-1293 · Cited by 99 · cited 1×
“Similarly, respiratory disease was found to be negatively correlated with average daily gain, marbling score, and hot carcass weight across 18 feedlots over 5 yr (Reinhardt et al. 2009).”
BackgroundFibre digestion by rumen microbiota — a review of recent metagenomic and metatranscriptomic studies
Terry, S. A., Badhan, A., Wang, Y., Chaves, A. V., & McAllister, T. A. (2019) · Canadian Journal of Animal Science · doi:10.1139/cjas-2019-0024 · Cited by 94 · cited 2×
“Enzyme application, unlike other dietary additives, must also compete with digestion rates and ruminal residence times to be effective within the rumen (Terry et al. 2019).”
BackgroundLima, J., Auffret, M. D., Stewart, R. D., Dewhurst, R. J., Duthie, C.-A., Snelling, T. J., Walker, A. W., Freeman, T. C., Watson, M., & Roehe, R. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00701 · Cited by 92
Application of genome editing in farm animals: cattle
Eenennaam, A. L. V. (2019) · Transgenic Research · doi:10.1007/s11248-019-00141-6 · Cited by 92
Meta-analysis: effects of exogenous fibrolytic enzymes in ruminant diets
Tirado‐González, D. N., Miranda‐Romero, L. A., Ruíz‐Flores, A., Medina–Cuéllar, S. E., Ramírez‐Valverde, R., & Estrada, G. T. (2017) · Journal of Applied Animal Research · doi:10.1080/09712119.2017.1399135 · Cited by 90 · cited 3×
“Across multiple studies (Ribeiro et al. 2016a; Tirado-González et al. 2018; Terry et al. 2019), it is consistently reported that the effects of enzymes varies and is confounded by multiple factors including enzyme type, specificity, rate of application, and dietary composition.”
BackgroundVyas, D., McGinn, S. M., Duval, S. M., Kindermann, M., & Beauchemin, K. A. (2016) · Journal of Animal Science · doi:10.2527/jas.2015-0268 · Cited by 89 · cited 1×
“Similarly, although some studies suggest that the decrease in CH4 with 3-NOP results in energetic savings being redirected towards body weight gain, these findings are not consistent with some studies reporting that 3-NOP increased H2 eructation (Vyas et al. 2016).”
ResultBelanche, A., Kingston‐Smith, A. H., Griffith, G. W., & Newbold, C. J. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00122 · Cited by 87 · cited 1×
“This could be a concern for feedlot cattle rapidly transitioned from a forage to a concentrate diet and for grazing cattle consuming a diverse range of forage species (Belanche et al. 2019).”
BackgroundA genome-wide association study of immune response traits in Canadian Holstein cattle
Thompson-Crispi, K. A., Sargolzaei, M., Ventura, R. V., Abo-Ismail, M. K., Miglior, F., Schenkel, F. S., & Mallard, B. A. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-559 · Cited by 85 · cited 1×
“In a GWAS, Holstein cattle with superior antibody-mediated and cell-mediated immune responses were genotyped using the Illumina Bovine SNP50 BeadChip (Thompson-Crispi et al. 2014).”
MethodZeineldin, M. M., Lowe, J. F., de Godoy, M. R. C., Maradiaga, N. C., Ramirez, C., Ghanem, M. M., El-Raof, Y. A., & Aldridge, B. M. (2017) · Veterinary Microbiology · doi:10.1016/j.vetmic.2017.07.006 · Cited by 85 · cited 1×
“Alternatively, although deep nasophyaryngeal and pharyngeal swabs revealed shifts in bacterial taxa between healthy and BRD calves, there was no difference in the diversity of the microbial community (Lima et al. 2016; Zeineldin et al. 2017).”
BackgroundRibeiro, G. O., Oss, D. B., He, Z., Gruninger, R. J., Elekwachi, C. O., Forster, R. J., Yang, W. Z., Beauchemin, K. A., & McAllister, T. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-01269-3 · Cited by 84 · cited 1×
“Similarly, two transfers of rumen contents from bison into beef cattle increased the diversity and evenness of the bacterial communities in the rumen 1 and 27 d after rumen transfer (Ribeiro et al. 2017), but some phylum quickly returned to pre-transfer abundances.”
BackgroundAbecia, L., Waddams, K. E., Martı́nez, G., Martín-García, A. I., Ramos‐Morales, E., Newbold, C. J., & Yáñez-Ruíz, D. R. (2014) · Archaea · doi:10.1155/2014/841463 · Cited by 83 · cited 1×
“Similarly, a single dose of bromochloromethane to pre-weaned goat kids resulted in a change in the methanogen population that persisted for 3 mo (Abecia et al. 2014).”
BackgroundHernandez‐Sanabria, E., Goonewardene, L. A., Wang, Z., Zhou, M., Moore, S. S., & Guan, L. L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058461 · Cited by 82 · cited 2×
“2015), although intrinsic relationships between host genetics, rumen microbial population, and phenotypic feed efficiency have also been demonstrated (Guan et al. 2008; Hernandez-Sanabria et al. 2013; Li et al. 2019).”
BackgroundMoya, D., Mazzenga, A., Holtshausen, L., Cozzi, G., González, L. A., Calsamiglia, S., Gibb, D. G., McAllister, T. A., Beauchemin, K. A., & Schwartzkopf-Genswein, K. S. (2010) · Journal of Animal Science · doi:10.2527/jas.2010-3045 · Cited by 80 · cited 5×
“Excessive processing of barley and wheat increased DMI and decreased gain-to-feed ratio, salable meat yield, and rib eye area in feedlot steers fed a high grain diet (Moya et al. 2011; Ribeiro et al. 2016b).”
BackgroundInfluentialDevelopment and validation of a small SNP panel for feed efficiency in beef cattle1
Abo-Ismail, M. K., Lansink, N., Akanno, E. C., Karisa, B., Crowley, J. J., Moore, S. S., Bork, E. W., Stothard, P., Basarab, J. A., & Plastow, G. S. (2018) · Journal of Animal Science · doi:10.1093/jas/sky020 · Cited by 79 · cited 2×
“%) in feed-efficiency traits (Abo-Ismail et al. 2018).”
BackgroundGenetic selection of cattle for improved immunity and health.
Mallard, B. A., Emam, M., Paibomesai, M. A., Thompson-Crispi, K. A., & Wagter-Lesperance, L. (2015) · PubMed · doi:10.14943/jjvr.63.suppl.s37 · Cited by 72
Greenhouse gas emissions of Canadian beef production in 1981 as compared with 2011
Legesse, G., Beauchemin, K. A., Ominski, K., McGeough, E. J. J., Kroebel, R., MacDonald, D., Little, S. M., & McAllister, T. A. (2015) · Animal Production Science · doi:10.1071/an15386 · Cited by 71
Mining the rumen for fibrolytic feed enzymes
Ribeiro, G. O., Gruninger, R. J., Badhan, A., & McAllister, T. A. (2016) · Animal Frontiers · doi:10.2527/af.2016-0019 · Cited by 70 · cited 6×
“In Canada, over 75% of malt barley fails to make the quality grade required for human consumption and is relegated to livestock feed (Ribeiro et al. 2016b).”
BackgroundInfluentialAkanno, E. C., Chen, L., Abo-Ismail, M. K., Crowley, J. J., Wang, Z., Li, C., Basarab, J. A., MacNeil, M. D., & Plastow, G. S. (2018) · Genetics Selection Evolution · doi:10.1186/s12711-018-0405-y · Cited by 68 · cited 2×
“These SNPs were mapped to six putative candidate genes that had biological functions related to the regulation of gene expression, glucose and lipid metabolism, and fat deposition (Akanno et al. 2018).”
BackgroundElolimy, A. A., Abdelmegeid, M. K., McCann, J. C., Shike, D. W. W., & Loor, J. J. (2018) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-018-0283-8 · Cited by 67
Lima, S. F., Bicalho, M. L. S., & Bicalho, R. C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0208014 · Cited by 64 · cited 2×
“Bacterial communities found in the upper respiratory tract of dairy calves were highly similar to those found with the vaginal canal of the dam, with 73%–87% of operational taxonomic units being shared at 3, 14, and 35 d after calf birth (Lima et al. 2019b).”
BackgroundLyons, T., Boland, T. M., Storey, S., & Doyle, E. M. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01656 · Cited by 60 · cited 1×
“For example, the microbiome of lambs was shown to be altered when lambs were fed linseed oil during pre-weaning with this change persisting for 10 wk after linseed oil supplementation ceased (Lyons et al. 2017).”
BackgroundO’Neill, C. J., Swain, D. L., & Kadarmideen, H. N. (2010) · Evolutionary Applications · doi:10.1111/j.1752-4571.2010.00151.x · Cited by 58 · cited 1×
“For example, composite breeds of B. indicus and B. taurus are kept in housing in tropical countries to improve milk production efficiency as a result of a reduction in environmental stressors such as parasites and heat (O’Neill et al. 2010).”
BackgroundA Comparative Overview of the Livestock-Environment Interactions in Asia and Sub-saharan Africa
Otté, J., Pica‐Ciamarra, U., & Morzaria, S. (2019) · Frontiers in Veterinary Science · doi:10.3389/fvets.2019.00037 · Cited by 58 · cited 1×
“Although ruminants in sub-Sahara Africa frequently have reproduction rates of less than 50%, they provide milk and protein to stakeholders with little to no input (Otte et al. 2019).”
BackgroundBehaviour and meat quality of chicken under different housing systems
El-Deek, A. A., & El‐Sabrout, K. (2018) · World s Poultry Science Journal · doi:10.1017/s0043933918000946 · Cited by 56 · cited 1×
“If these animals are removed from these controlled environments, they face adverse effects on health and mortality (El-Deek and El-Sabrout 2019).”
BackgroundWeber, K. L., Thallman, R. M., Keele, J. W., Snelling, W. M., Bennett, G. L., Smith, T. P. L., McDaneld, T. G., Allan, M. F., Eenennaam, A. L. V., & Kuehn, L. A. (2012) · Journal of Animal Science · doi:10.2527/jas.2011-4586 · Cited by 55 · cited 2×
“For growth and carcass traits, MBVs accounted for up to 18% and 8%, respectively, of genetic variation in a multi-breed analysis, and up to 28% and 42%, respectively, in single breeds of beef cattle (Weber et al. 2012).”
BackgroundShanthalingam, S., Tibary, A., Beever, J. E., Kasinathan, P., Brown, W. C., & Srikumaran, S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613428113 · Cited by 54 · cited 4×
“…employed to modify alleles so as to allow the expression of genetically engineered cattle that would produce leukocytes resistant to leukotoxin-induced cytolysis, demonstrating the feasibility of breeding lines of cattle genetically resistant to Mannheimia haemolytica (Shanthalingam et al. 2016).”
BackgroundMethodInfluentialWang, Y., Greer, D., & McAllister, T. A. (2003) · Journal of Animal Science · doi:10.2527/2003.8192145x · Cited by 49 · cited 3×
“barley to a lower PI were more feed efficient than those fed barley with a higher PI (Wang et al. 2003).”
BackgroundInfluentialHünerberg, M., Little, S. M., Beauchemin, K. A., McGinn, S. M., O'Connor, D. E., Okine, E. K., Harstad, O. M., Kröbel, R., & McAllister, T. A. (2014) · Agricultural Systems · doi:10.1016/j.agsy.2014.01.005 · Cited by 49 · cited 1×
“Similarly, dried distillers’ grain readily replaces cereal grains in ruminant diets due to its rich energy and protein content (Hünerberg et al. 2014).”
BackgroundNielsen, M. K., MacNeil, M. D., Dekkers, J. C. M., Crews, D. H., Rathje, T. A., Enns, R. M., & Weaber, R. L. (2013) · The Professional Animal Scientist · doi:10.15232/s1080-7446(15)30285-0 · Cited by 48 · cited 2×
“…cattle (<1 calf cow−1 yr−1) compared with chickens (∼180 eggs hen−1 yr−1) and even pigs (∼20 piglets sow−1 yr−1) also slows the rate of genetic progress and, therefore, plays a major role in the slow rate of efficiency gains obtained via genetic selection (Nielsen et al. 2013; Zuidhof et al. 2014).”
BackgroundGenome‐wide association studies pathway‐based meta‐analysis for residual feed intake in beef cattle
Duarte, D. A. S., Newbold, C. J., Detmann, E., Silva, F. F. E., Freitas, P. H. F., Veroneze, R., & Duarte, M. D. S. (2019) · Animal Genetics · doi:10.1111/age.12761 · Cited by 48 · cited 2×
“A meta-analysis of GWAS revealed a common pathway of genes involved in valine, leucine, and isoleucine catabolism that were related to RFI in three metagenomic studies (Duarte et al. 2019) and one transcriptomic study (Khansefid et al.”
BackgroundDevelopment of Bacterial Therapeutics against the Bovine Respiratory Pathogen Mannheimia haemolytica
Amat, S., Timsit, E., Baines, D., Yanke, J., & Alexander, T. W. (2019) · Applied and Environmental Microbiology · doi:10.1128/aem.01359-19 · Cited by 47 · cited 1×
“Modulation of the disease through use of natural microflora inhabiting the respiratory tract was recently investigated (Amat et al. 2019).”
BackgroundAmat, S., Alexander, T. W., Holman, D. B., Schwinghamer, T. D., & Timsit, E. (2020) · mSystems · doi:10.1128/msystems.00629-19 · Cited by 47 · cited 1×
“A single dose of a intranasal probiotic consisting of a mixture of six Lactobacillus strains reduced nasal colonisation of Mannheimia haemolytica in dairy calves (Amat et al. 2020) and caused no adverse effects on the health and growth performance of beef calves (Amat et al. 2020).”
BackgroundA large and diverse collection of bovine genome sequences from the Canadian Cattle Genome Project
Stothard, P., Liao, X., Arantes, A. S., Pauw, M. D., Coros, C. J., Plastow, G. S., Sargolzaei, M., Crowley, J. J., Basarab, J. A., Schenkel, F. S., et al. (2015) · GigaScience · doi:10.1186/s13742-015-0090-5 · Cited by 46 · cited 1×
“The Canadian Cattle Genome Project is a large-scale international initiative that was employed to develop genomics-based tools for genetic selection to increase the efficiency and sustainability of dairy and beef cattle production (Stothard et al. 2015).”
BackgroundFIBEX-treated rice straw as a feed ingredient for lactating dairy cows
Weimer, P. J., Mertens, D. R., Ponnampalam, E. N., Severin, B. F., & Dale, B. E. (2002) · Animal Feed Science and Technology · doi:10.1016/s0377-8401(02)00282-1 · Cited by 39 · cited 1×
“Feeding AFEX-treated rice straw to lactating dairy cows increased neutral detergent fibre intake and milk production when included in the diet at 7% of dry matter (Weimer et al. 2003).”
BackgroundRegulate genome-edited products, not genome editing itself
Carroll, D., Eenennaam, A. L. V., Taylor, J. F., Seger, J., & Voytas, D. F. (2016) · Nature Biotechnology · doi:10.1038/nbt.3566 · Cited by 37 · cited 2×
“2015), and elimination of the horned trait (Carroll et al. 2016).”
BackgroundKhansefid, M., Millen, C. A., Chen, Y., Pryce, J. E., Chamberlain, A. J., Jagt, C. J. V., Gondro, C., & Goddard, M. E. (2017) · Journal of Animal Science · doi:10.2527/jas2016.1320 · Cited by 35 · cited 2×
“2019) and one transcriptomic study (Khansefid et al. 2017).”
BackgroundGetachew, G., Laca, E. A., Putnam, D. H., Witte, D., Mccaslin, M., Ortega, K. P., & DePeters, E. J. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.8942 · Cited by 35 · cited 1×
“Similarly, compared with control lines, in vitro dry matter and neutral detergent fibre digestibility were increased in two lignin down-regulated alfalfa lines (Getachew et al. 2018).”
ResultMathison, G. W., Engstrom, D. F., Soofi-Siawash, R., & Gibb, D. J. (1997) · Canadian Journal of Animal Science · doi:10.4141/a96-087 · Cited by 34 · cited 1×
“Increasing the degree of processing of barley (slight, medium, and crushed) improved feed conversion efficiency by 10% in beef bulls fed a high-concentrate diet (Mathison et al. 1997).”
BackgroundCrookenden, M. A., Walker, C. G., Peiris, H. N., Koh, Y. Q., Heiser, A., Loor, J. J., Moyes, K. M., Murray, A., Dukkipati, V. S. R., Kay, J. K., et al. (2016) · Journal of Dairy Science · doi:10.3168/jds.2015-10786 · Cited by 34 · cited 2×
“Research has been conducted to differentiate the cargo profiles of exosomes as influenced by dairy cows differing in metabolic health (Crookenden et al. 2016), uterine health, and fertility status (Koh et al.”
BackgroundKoh, Y. Q., Peiris, H. N., Vaswani, K., Almughlliq, F. B., Meier, S., Burke, C. R., Roche, J. R., Reed, C. B., Arachchige, B. J., Reed, S., et al. (2018) · Journal of Dairy Science · doi:10.3168/jds.2017-14190 · Cited by 33 · cited 2×
“2016), uterine health, and fertility status (Koh et al. 2018; Mitchell et al. 2020).”
BackgroundCrop Sorghum Ensiled With Unsalable Vegetables Increases Silage Microbial Diversity
Forwood, D. L., Hooker, K., Caro, E., Huo, Y., Holman, D. B., Meale, S. J., & Chaves, A. V. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.02599 · Cited by 32 · cited 1×
“For example, incorporation of unsalable carrot or pumpkin waste at up to 40% of dry matter in ensiled corn or sorghum did not alter silage quality and improved in vitro dry matter digestibility (Forwood et al. 2019; Hooker et al. 2019).”
BackgroundBeauchemin, K. A., Ribeiro, G. O., Ran, T., Milani, M. R. M., Yang, W. Z., Khanaki, H., Gruninger, R. J., Tsang, A., & McAllister, T. A. (2019) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2019.114260 · Cited by 31 · cited 1×
“The AFEX treatment of barley straw, wheat straw, corn stover, and rice straw increased in vitro dry matter disappearance by up to 128% (Beauchemin et al. 2019).”
BackgroundPATTERNS OF CARCASS FAT DEPOSITION IN HEIFERS, STEERS AND BULLS
Berg, R. T., Jones, S. D. M., Price, M. A., Hardin, R. T., Fukuhara, R., & Butterfield, R. M. (1979) · Canadian Journal of Animal Science · doi:10.4141/cjas79-044 · Cited by 30 · cited 1×
“Carcass size of slaughter cattle was approximately 250 kg, and this trend only started to be reversed in the early 1970s due to the selection for increased growth rate and larger framed cattle through cross breeding (Berg 1975; Berg et al. 1979; Gregory and Cundiff 1980; Fredeen et al. 1981).”
BackgroundCarberry, C. A., Kenny, D. A., Kelly, A. K., & Waters, S. M. (2014) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/2049-1891-5-41 · Cited by 30 · cited 2×
“Both confined beef (Carberry et al. 2012; Carberry et al. 2014) and dairy cattle (Jewell et al. 2015) with low RFI had lower proportions of Prevotella within their rumen microbiome.”
BackgroundAkanno, E. C., Chen, L., Abo-Ismail, M. K., Crowley, J. W., Wang, Z., Li, C., Basarab, J. A., MacNeil, M. D., & Plastow, G. S. (2017) · Canadian Journal of Animal Science · doi:10.1139/cjas-2016-0124 · Cited by 28 · cited 1×
“Single-nucleotide polymorphism (SNP) panels are a genomic tool that can predict genomic breed composition, retained heterozygosity, and heterosis of beef cattle (Akanno et al. 2017).”
BackgroundGriffith, C., Ribeiro, G. O., Oba, M., McAllister, T. A., & Beauchemin, K. A. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01839 · Cited by 27 · cited 1×
“Similarly, AFEX-treated barley straw increased dry matter, neutral detergent fibre, and acid detergent fibre degradation, whilst also reducing CH4 produced per gram digested dry matter in an artificial rumen (Griffith et al. 2016).”
BackgroundGriffin, W. A., Bremer, V. R., Klopfenstein, T. J., Stalker, L. A., Lomas, L. W., Moyer, J. L., & Erickson, G. E. (2012) · The Professional Animal Scientist · doi:10.15232/s1080-7446(15)30360-0 · Cited by 26
Mor, P., Bals, B. D., Tyagi, A. K., Teymouri, F., Tyagi, N., Kumar, S., Bringi, V., & VandeHaar, M. J. (2018) · Journal of Dairy Science · doi:10.3168/jds.2018-14584 · Cited by 24 · cited 2×
“non-treated wheat straw, AFEX treatment increased intake, digestibility, and milk production in lactating buffalo and crossbred dairy cattle (Mor et al. 2018).”
BackgroundGenetic Improvement of Beef Cattle in the United States: Cattle, People and Their Interaction
Willham, R. L. (1982) · Journal of Animal Science · doi:10.2527/jas1982.543659x · Cited by 23 · cited 1×
“This resulted in a beef population that was dominated by smaller, compact animals with increased prevalence of dwarfism genes (Willham 1982).”
BackgroundGenomic retained heterosis effects on fertility and lifetime productivity in beef heifers
Basarab, J. A., Crowley, J. J., Abo-Ismail, M. K., Manafiazar, G., Akanno, E. C., Baron, V. S., & Plastow, G. S. (2018) · Canadian Journal of Animal Science · doi:10.1139/cjas-2017-0192 · Cited by 23 · cited 5×
“These gains equated to a CA$161 increase in yearly profit per heifer when averaged over five parities in an intensive beef production system (Basarab et al. 2018).”
BackgroundInfluentialManafiazar, G., Basarab, J. A., McKeown, L., Stewart-Smith, J., Baron, V. S., MacNeil, M. D., & Plastow, G. S. (2017) · Canadian Journal of Animal Science · doi:10.1139/cjas-2016-0118 · Cited by 20 · cited 1×
“…acclimatized to a feed intake measurement system for a 21 d period, followed by a 45–50 d measurement period that requires body weight to be recorded on two consecutive days at the beginning, end, and at regular intervals throughout the feeding period (Manafiazar et al. 2017; Kenny et al. 2018).”
MethodEffects of Tempered Barley on Milk Yield, Intake, and Digestion Kinetics of Lactating Holstein Cows
Christen, S. D., Hill, T. M., & Williams, M. S. (1996) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(96)76497-4 · Cited by 18 · cited 1×
“Tempering barley improved milk yield, feed efficiency, and digestibility of starch by 5%, 10%, and 4%, respectively, compared with dry rolling in dairy cows (Christen et al. 1996).”
BackgroundGROWTH PATTERNS OF FIRST-CROSS COWS UNDER TWO ENVIRONMENTS
Fredeen, H. T., Weiss, G. M., NEWMAN, J. A., RAHNEFELD, G. W., & Lawson, J. E. (1981) · Canadian Journal of Animal Science · doi:10.4141/cjas81-033 · Cited by 17 · cited 1×
“Carcass size of slaughter cattle was approximately 250 kg, and this trend only started to be reversed in the early 1970s due to the selection for increased growth rate and larger framed cattle through cross breeding (Berg 1975; Berg et al. 1979; Gregory and Cundiff 1980; Fredeen et al. 1981).”
BackgroundRibeiro, G. O., Swift, M. L., & McAllister, T. A. (2016) · Journal of Animal Science · doi:10.2527/jas.2015-0068 · Cited by 15 · cited 8×
“In Canada, over 75% of malt barley fails to make the quality grade required for human consumption and is relegated to livestock feed (Ribeiro et al. 2016b).”
BackgroundInfluentialCallum, C., Ominski, K., Crow, G. H., Zvomuya, F., & Basarab, J. A. (2018) · Canadian Journal of Animal Science · doi:10.1139/cjas-2018-0002 · Cited by 14
Hooker, K., Forwood, D. L., Caro, E., Huo, Y., Holman, D. B., Chaves, A. V., & Meale, S. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-49608-w · Cited by 14 · cited 1×
“For example, incorporation of unsalable carrot or pumpkin waste at up to 40% of dry matter in ensiled corn or sorghum did not alter silage quality and improved in vitro dry matter digestibility (Forwood et al. 2019; Hooker et al. 2019).”
BackgroundMitchell, M. D., Crookenden, M. A., Vaswani, K., Roche, J. R., & Peiris, H. N. (2018) · Animal Production Science · doi:10.1071/an18579 · Cited by 12 · cited 3×
“2016), uterine health, and fertility status (Koh et al. 2018; Mitchell et al. 2020).”
BackgroundSilveira, S. R. E., Terry, S. A., Biffin, T. E., Maurício, R. M., Pereira, L. G. R., Ferreira, A. L., Ribeiro, R. S., Sacramento, J. P., Tomich, T. R., Machado, F. S., et al. (2019) · Frontiers in Veterinary Science · doi:10.3389/fvets.2019.00295 · Cited by 12 · cited 1×
“For example, replacement of soybean meal with soybean cake had no effect on DMI, volatile fatty acid production, or apparent digestibility Published by NRC Research Press in dairy cows (Silveira et al. 2019).”
MethodGenetics of bovine respiratory disease in cattle: can breeding programs reduce the problem?
Berry, D. P. (2014) · Animal Health Research Reviews · doi:10.1017/s1466252314000292 · Cited by 11 · cited 4×
“selection for these traits is achievable (Berry 2014).”
BackgroundInfluentialSaunders, C. S., Yang, S.-J., Eun, J.-S., Feuz, D. M., & ZoBell, D. R. (2015) · Canadian Journal of Animal Science · doi:10.4141/cjas-2015-057 · Cited by 9
Evaluation of a genomic-enhanced sorting system for feeder cattle1
Akanno, E. C., Ekine-Dzivenu, C. C., Chen, L., Vinsky, M. D., Abo-Ismail, M. K., MacNeil, M. D., Plastow, G. S., Basarab, J. A., Li, C., & Fitzsimmons, C. (2019) · Journal of Animal Science · doi:10.1093/jas/skz026 · Cited by 7 · cited 1×
“MBVs predicted up to 35% of observed variability in carcass traits with a prediction range from 0.43 to 0.59 across beef cattle breeds (Akanno et al. 2019).”
BackgroundInfluentialAgriculture and Agri-Food Canada, C., Terry, S. A., Romero, C. M., Agriculture and Agri-Food Canada, C., Chaves, A. V., Agriculture and Agri-Food Canada, C., McAllister, T. A., & Agriculture and Agri-Food Canada, C. (2020) · Burleigh Dodds series in agricultural science · doi:10.19103/as.2020.0067.16 · Cited by 7 · cited 3×
“The host itself plays an important role in causing physical damage to feed through mastication and rumination, breaching physical barriers that impede the rapid colonisation of feed by rumen microbiota (Terry et al. 2020).”
BackgroundInfluential
Research works printed but not linked: 5
- Crews D.H., 2005, Genet. Mol. Res., 4, 152
- Mallard B.A., 2015, Jpn. J. Vet. Res., 63, S37
- Mandal S., 2017, Int. J. Drug Res. Technol., 6, 43
- Mertens D., 2008, J. Dairy Sci., 91
- Weakley D., 2008, J. Dairy Sci., 91
Cited by
Sorted by citations
Hassan, F.-U., Arshad, M. A., Ebeid, H. M., Rehman, M. S.-U., Khan, M. S., Shahid, S., & Yang, C. (2020) · Frontiers in Veterinary Science · doi:10.3389/fvets.2020.575801 · Cited by 186
New insights in improving sustainability in meat production: opportunities and challenges
Kumar, P., Abubakar, A. A., Verma, A. K., Umaraw, P., Ahmed, M. A., Mehta, N. R., Hayat, M. N., Kaka, U., & Sazili, A. Q. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2096562 · Cited by 119
“…monogastric by producing 1 kg meat by consuming 2.8 kg food as compared to monogastric producing the same quantity of meat by consuming 3.2 kg food (Terry et al. 2020, 2021), but if we consider the volume of dry matter consumed, then ruminants produce 1 kg animal protein by consuming 133 kg dry…”
BackgroundMethodInfluentialNon-contact sensing technology enables precision livestock farming in smart farms
Yin, M., Ma, R., Luo, H., Li, J., Zhao, Q., & Zhang, M. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.108171 · Cited by 114
Individual Beef Cattle Identification Using Muzzle Images and Deep Learning Techniques
Li, G., Erickson, G. E., & Xiong, Y. (2022) · Animals · doi:10.3390/ani12111453 · Cited by 98
“Numerous challenges face the beef industry including needs for improved nutrition and production efficiency to feed a growing human population [1,2].”
BackgroundPulina, G., Acciaro, M., Atzori, A. S., Battacone, G., Crovetto, G. M., Mele, M. L., Pirlo, G., & Rassu, S. P. G. (2021) · animal · doi:10.1016/j.animal.2021.100358 · Cited by 69
Metadata
- Authors
- Terry, S. A., Basarab, J. A., Guan, L. L., & McAllister, T. A.
- Affiliations
- Agriculture and Agri-Food Canada (CA)
- Lacombe Research and Development Centre (CA)
- University of Alberta (CA)
- Venue
- Canadian Journal of Animal Science
- Publisher
- Canadian Science Publishing
- Published
- 2021-03-01
- Volume
- 101
- Issue
- 1
- Pages
- 1-19
- ISSN
- 0008-3984 (ISSN-L)
- 1918-1825
- OpenAlex
- W3045238561
- Cited by
- 142
- References
- 133
- Citations by year
- 2026: 20 · 2025: 37 · 2024: 33 · 2023: 28 · 2022: 19 · 2021: 4
- FWCI
- 16.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Canadian Journal of Animal Science (publishedVersion, cc-by)
- TSpace (University of Toronto) (acceptedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Livestock Farming and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- feed efficiency, rumen microbiome, airway microbiome, host genetics, heterosis, genotyping, fiber digestion, forage breeding, feed processing, microbial biomarkers, gene expression, sustainable intensification, beef demand
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