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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Genetic manipulation of rumen microbiota is possible through different techniques as host genetics influences some heritable microbial traits.
“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]
In “Efficiency in the Rumen Microbiome” (pp. 21–22), the paper reports heritable microbial traits and says host genetics may influence the rumen microbiome. It proposes genetic selection as a possible future way to manipulate the microbiome, but does not establish that genetic manipulation is already possible through different techniques. (LLM, conf=0.86)
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“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).”
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“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 125 · cited 1× · see citing works
“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).”
BackgroundMottet, A., Teillard, F., Boettcher, P. J., Besi, G. D., & Besbes, B. (2018) · animal · doi:10.1017/s1751731118002215 · Cited by 124 · cited 2× · see citing works
“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).”
BackgroundRodrigues, 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× · see citing works
“taurus breeds are cold tolerant and produce higher quality beef (Rodrigues et al. 2017).”
BackgroundResultInfluentialZhou, 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 115 · cited 5× · see citing works
“Other genera associated with efficient cattle include Coprococcus (Zhou et al. 2018), whereas Butyrivibrio, Anaerovibrio (Myer et al.”
BackgroundInfluentialSnowder, 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× · see citing works
“, 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× · see citing works
“the rumen being exceeded by the production of organic acids (Nikkhah 2012).”
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× · see citing works
“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× · see citing works
“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).”
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 97 · cited 2× · see citing works
“Commensal bacteria can inhibit the proliferation of bacterial pathogens through competition for nutrients, competitive exclusion, and the production of antimicrobials (Zeineldin et al. 2019).”
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 95 · cited 2× · see citing works
“However, these quantitative trait loci are defined as population specific and have little overlap with other populations of cattle (Saatchi et al. 2014).”
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 92 · cited 1× · see citing works
“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).”
BackgroundApplication of genome editing in farm animals: cattle
Eenennaam, A. L. V. (2019) · Transgenic Research · doi:10.1007/s11248-019-00141-6 · Cited by 92 · see citing works
Fibre 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 91 · cited 2× · see citing works
“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).”
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× · see citing works
“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).”
ResultLima, 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 86 · see citing works
A 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× · see citing works
“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).”
MethodMeta-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 85 · cited 3× · see citing works
“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.”
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× · see citing works
“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).”
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 81 · cited 5× · see citing works
“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).”
BackgroundInfluentialRibeiro, 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 80 · cited 1× · see citing works
“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.”
BackgroundDevelopment 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× · see citing works
“%) in feed-efficiency traits (Abo-Ismail et al. 2018).”
BackgroundBelanche, A., Kingston‐Smith, A. H., Griffith, G. W., & Newbold, C. J. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00122 · Cited by 79 · cited 1× · see citing works
“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).”
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 78 · cited 2× · see citing works
“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).”
BackgroundZeineldin, 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 74 · cited 1× · see citing works
“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).”
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 · see citing works
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 · see citing works
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 68 · cited 6× · see citing works
“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).”
BackgroundInfluentialElolimy, 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 65 · see citing works
Lyons, T., Boland, T. M., Storey, S., & Doyle, E. M. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01656 · Cited by 60 · cited 1× · see citing works
“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).”
BackgroundAkanno, 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 60 · cited 2× · see citing works
“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).”
BackgroundLima, S. F., Bicalho, M. L. S., & Bicalho, R. C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0208014 · Cited by 60 · cited 2× · see citing works
“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).”
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× · see citing works
“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× · see citing works
“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× · see citing works
“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).”
BackgroundO’Neill, C. J., Swain, D. L., & Kadarmideen, H. N. (2010) · Evolutionary Applications · doi:10.1111/j.1752-4571.2010.00151.x · Cited by 54 · cited 1× · see citing works
“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).”
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× · see citing works
“…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× · see citing works
“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× · see citing works
“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× · see citing works
“…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).”
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× · see citing works
“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× · see citing works
“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× · see citing works
“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).”
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 41 · cited 2× · see citing works
“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.”
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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“2016), uterine health, and fertility status (Koh et al. 2018; Mitchell et al. 2020).”
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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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).”
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 27 · cited 1× · see citing works
“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).”
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 · see citing works
Griffith, C., Ribeiro, G. O., Oba, M., McAllister, T. A., & Beauchemin, K. A. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01839 · Cited by 26 · cited 1× · see citing works
“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).”
BackgroundMor, 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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“…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× · see citing works
“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× · see citing works
“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× · see citing works
“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 · see citing works
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× · see citing works
“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× · see citing works
“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× · see citing works
“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× · see citing works
“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 · see citing works
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× · see citing works
“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× · see citing works
“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
Flagged first, then by citations
Research works printed but not linked: 4
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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 160 · see citing works
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 · see citing works
“…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 97 · see citing works
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 90 · see citing works
“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 · see citing works
Uterine microbial ecology and disease in cattle: A review
Çömlekçioğlu, U., Jezierska, S., OPSOMER, G., & Pascottini, O. B. (2023) · Theriogenology · doi:10.1016/j.theriogenology.2023.09.016 · Cited by 42 · see citing works
Addressing the 2050 demand for terrestrial animal source food
Eenennaam, A. L. V. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319001121 · Cited by 39 · see citing works
Microbial circadian clocks: host-microbe interplay in diel cycles
Wollmuth, E. M., & Angert, E. R. (2023) · BMC Microbiology · doi:10.1186/s12866-023-02839-4 · Cited by 38 · see citing works
“The microbial community composition within the rumen of dairy cows has been intensely studied with the promise of improving feed use efficiency and animal productivity through understanding, and perhaps manipulating, community composition and function [143].”
BackgroundFabjanowska, J., Kowalczuk-Vasilev, E., Klebaniuk, R., Milewski, S., & Gümüş, H. (2023) · Animals · doi:10.3390/ani13223589 · Cited by 29 · see citing works
Effect of Myostatin Gene Mutation on Slaughtering Performance and Meat Quality in Marchigiana Bulls
Ceccobelli, S., Perini, F., Trombetta, M. F., Tavoletti, S., Lasagna, E., & Pasquini, M. (2022) · Animals · doi:10.3390/ani12040518 · Cited by 28 · see citing works
Sustainable production and consumption of animal products
Pulina, G., Lunesu, M. F., Pirlo, G., Ellies‐Oury, M., Chriki, S., & Hocquette, J.-F. J.-F. (2022) · Current Opinion in Environmental Science & Health · doi:10.1016/j.coesh.2022.100404 · Cited by 28 · see citing works
Malik, P. K., Trivedi, S., Kolte, A. P., Mohapatra, A., Biswas, S., Bhattar, A. V. K., Bhatta, R., & Rahman, H. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1266025 · Cited by 27 · see citing works
“In contrast, the lower/higher activities of some CAZymes in the metatranscriptome indicate that fiber digestion is a function performed by a consortium of microorganisms, as evidenced by the similar fiber digestibility of cattle and buffaloes.”
BackgroundInfluentialSlayi, M., Zhou, L., & Jaja, I. F. (2023) · Sustainability · doi:10.3390/su152014813 · Cited by 25 · see citing works
Application of Genomic Selection in Beef Cattle Disease Prevention
Kasimanickam, R. K., Ferreira, J. C. P., Kastelic, J. P., & Kasimanickam, V. R. (2025) · Animals · doi:10.3390/ani15020277 · Cited by 24 · see citing works
Abebe, B. K., Wang, J., Guo, J., Wang, H., Li, A., & Zan, L. (2024) · Animal Biotechnology · doi:10.1080/10495398.2024.2388704 · Cited by 23 · see citing works
“48”
Cibils, A. F., Estell, R. E., Spiegal, S. A., Nyamuryekung’e, S., McIntosh, M. M., Duni, D. M., Conegliano, O. A. H., Rodríguez-Almeida, F. A., Estrada, O. R., Blanco, L. J., et al. (2022) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2022.104886 · Cited by 21 · see citing works
A review of the role of epigenetic studies for intramuscular fat deposition in beef cattle
Abebe, B. K., Wang, J., Guo, J., Wang, H., Li, A., & Zan, L. (2024) · Gene · doi:10.1016/j.gene.2024.148295 · Cited by 21 · see citing works
Koohpar, H. K., Gholizadeh, M., Hafezian, S. H., & Esmaeili-Fard, S. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-63974-0 · Cited by 18 · see citing works
Baruselli, P. S., de Abreu, L. Â., de Paula, V. R., de Carvalho, B. C., Gricio, E. A., Mori, F., Rebeis, L. M., Albertini, S., Souza, A. H., & D’Occhio, M. J. (2023) · Animal Reproduction · doi:10.1590/1984-3143-ar2023-0060 · Cited by 18 · see citing works
Strategies for Healthier Meat Foods: An Overview
Espinales, C., Baldeón, M., Bravo, C., Toledo, H. D. L. G., Carballo, J., Romero-Peña, M., & Cáceres, P. J. (2024) · Preventive Nutrition and Food Science · doi:10.3746/pnf.2024.29.1.18 · Cited by 18 · see citing works
“Functional meat product development has been achieved by applying strategies to improve the number of beneficial compounds present in meat (Terry et al., 2021).”
BackgroundThe future of beef production in South America
Baruselli, P. S., de Abreu, L. Â., Menchaca, A., & Bó, G. A. (2024) · Theriogenology · doi:10.1016/j.theriogenology.2024.10.004 · Cited by 17 · see citing works
Kertz, N. C., Banerjee, P., Dyce, P. W., & Diniz, W. J. S. (2023) · Animals · doi:10.3390/ani13203284 · Cited by 19 · see citing works
Cuervo, W., Gómez-López, C., & DiLorenzo, N. (2025) · Methane · doi:10.3390/methane4020010 · Cited by 18 · see citing works
“The fine tuning of grain and forage inclusion is critical for enhancing CHS fermentation in beef cattle by promoting the efficiency of ruminal microbes in utilizing dietary organic matter [191].”
Shokrollahi, B., Park, M., Jang, G.-S., Jin, S., Moon, S.-J., Um, K.-H., Jang, S.-S., & Baek, Y.-C. (2025) · Biology · doi:10.3390/biology14060645 · Cited by 16 · see citing works
“But if overfeeding fails to produce matching gains in offspring, costs may exceed revenue [89].”
Slayi, M., Zhou, L., Nyambo, P., Jaja, I. F., & Muchaku, S. (2024) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2023.1325233 · Cited by 16 · see citing works
Slayi, M., Zhou, L., & Jaja, I. F. (2023) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2023.1239766 · Cited by 15 · see citing works
Slayi, M., & Jaja, I. F. (2025) · Frontiers in Veterinary Science · doi:10.3389/fvets.2025.1513368 · Cited by 14 · see citing works
“Heat stress is a major concern in semi-arid environments (7), disrupting the normal thermos-physiological processes that help animals maintain homeostasis (8).”
Yongjie, X., Qi, Z., Yan, J., Li, D., Zhao, H., & Zheng, H. (2024) · Agriculture · doi:10.3390/agriculture14071007 · Cited by 12 · see citing works
“Breeding technology is universally acknowledged as the core method for optimizing beef production performance and enhancing economic benefits [17,43].”
BackgroundMalau‐Aduli, A. E. O., Curran, J., Gall, H., Henriksen, E., O'Connor, A., Paine, L., Richardson, B., van Sliedregt, H., & Smith, L. (2021) · Veterinary and Animal Science · doi:10.1016/j.vas.2021.100228 · Cited by 12 · see citing works
Non-invasive metabolomics biomarkers of production efficiency and beef carcass quality traits
Artegoitia, V. M., Newman, J. W. I., Foote, A. P., Shackelford, T. K., King, D. A., WHEELER, T. L., Lewis, R. M., & Freetly, H. C. (2022) · Scientific Reports · doi:10.1038/s41598-021-04049-2 · Cited by 12 · see citing works
Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle
Fernandes, A. C., Reverter, A., Keogh, K. A., Alexandre, P. A., Afonso, J., Palhares, J. C. P., Cardoso, T. F., Malheiros, J. M., Bruscadin, J. J., de Oliveira, P. S. N., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-63619-2 · Cited by 10 · see citing works
“The incorporation of cost-effective feed alternatives to traditional grain-based diets is a promising avenue to tackle the high inputs of feed cost in cattle production 2,3 .”
BackgroundHumate application alters microbiota–mineral interactions and assists in pasture dieback recovery
Whitton, M. M., Ren, X., Yu, S. J., Irving, A. D., Trotter, T., Bajagai, Y. S., & Stanley, D. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13327 · Cited by 11 · see citing works
Buss, C. E., Afonso, J., de Oliveira, P. S. N., Petrini, J., Tizioto, P. C., César, A. S. M., Gustani‐Buss, E., Cardoso, T. F., Rovadoscki, G. A., Diniz, W. J. S., et al. (2022) · Mammalian Genome · doi:10.1007/s00335-022-09969-6 · Cited by 10 · see citing works
Estrada, O. R., Rodríguez-Almeida, F. A., Utsumi, S. A., Fredrickson, E. L., Enríquez, G. B., Cibils, A. F., Estell, R. E., & González, A. L. (2022) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2023.104943 · Cited by 10 · see citing works
Munidasa, S., Cullen, B. R., Eckard, R., Cheng, L., & Doran-Browne, N. A. (2025) · Animal Production Science · doi:10.1071/an24276 · Cited by 9 · see citing works
Norton, L., Maskell, L. C., McVittie, A., Smith, L. G., Wagner, M., Waterton, C., & Watson, C. A. (2022) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.1012691 · Cited by 10 · see citing works
“The sustainable intensification agenda continues to support the belief that technological innovation can resolve the clear trade-off between producing more, whilst reducing ecological damage (Terry et al., 2020; Pulina et al., 2021).”
BackgroundLiu, Y., Wang, Y., Wen, Y., Ma, L., Riqing, D., & Jiang, M. (2024) · Animals · doi:10.3390/ani14202933 · Cited by 8 · see citing works
“Feed efficiency is an important management method to improve the economy of meat and milk production [36,37].”
MethodEyre, K. E., Pan, L., Harper, K. J., & Silva, L. F. P. E. (2025) · Veterinary and Animal Science · doi:10.1016/j.vas.2025.100463 · Cited by 8 · see citing works
“Feed additives are often included in supplements to grazing cattle and in feedlot diets to improve animal health and productivity (Terry et al., 2020).”
Genome-wide association study for primal cut lean traits in Canadian beef cattle
Sood, V., Rodas‐González, A., Valente, T. S., Virtuoso, M. C. S., Li, C., Lam, S., López-Campos, Ó., Segura, J., Basarab, J. A., & Juarez, M. M. (2023) · Meat Science · doi:10.1016/j.meatsci.2023.109274 · Cited by 8 · see citing works
Abebe, B. K., Wang, H., Li, A., & Zan, L. (2023) · Journal of Animal Breeding and Genetics · doi:10.1111/jbg.12841 · Cited by 8 · see citing works
Remediation of Pasture Dieback Using Plant Growth Promotant
Whitton, M. M., Ren, X., Yu, S. J., Trotter, T., Stanley, D., & Bajagai, Y. S. (2022) · Agronomy · doi:10.3390/agronomy12123153 · Cited by 8 · see citing works
Yu, J., Naseem, S., Park, S., Hur, S. J., Choi, Y., Lee, T., Li, X., & Choi, S. H. (2025) · Animals · doi:10.3390/ani15060897 · Cited by 6 · see citing works
Wiśniewski, K., Świątek, M., Król, J., & Kuczyńska, B. (2024) · Archives animal breeding/Archiv für Tierzucht · doi:10.5194/aab-67-259-2024 · Cited by 6 · see citing works
“Daily weight gain is an important parameter reflecting the efficiency of feeding and management practices (Momot et al., 2020; Terry et al., 2021).”
BackgroundThe Molecular Bases Study of the Inherited Diseases for the Health Maintenance of the Beef Cattle
Konovalova, E., Romanenkova, O. S., Kostyunina, O., & Александровна, Г. Е. (2021) · Genes · doi:10.3390/genes12050678 · Cited by 6 · see citing works
“In this regard, the efforts of specialists of the beef cattle industry are constantly directed at finding ways to increase the productivity of animals, and the use for this purpose of breeding material of specialized meat cattle breeds is very promising [1].”
BackgroundLiu, Y., Arshad, M. U., Baoyindureng, B., Aruhan, Lanneau, R., & Jianguo, Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2022.e12721 · Cited by 6 · see citing works
Wang, H., Gu, H., & Wang, Z. (2023) · Aquaculture Reports · doi:10.1016/j.aqrep.2023.101581 · Cited by 6 · see citing works
Agricultural subsidies: cutting into forest conservation?
Moffette, F., & Alix‐Garcia, J. (2024) · Environment and Development Economics · doi:10.1017/s1355770x23000189 · Cited by 5 · see citing works
Mitochondrial Abundance and Function Differ Across Muscle Within Species
Yen, C., Bodmer, J. S., Wicks, J. C., Zumbaugh, M. D., Persia, M. E., Shi, T. H., & Gerrard, D. E. (2024) · Metabolites · doi:10.3390/metabo14100553 · Cited by 5 · see citing works
“Armed with this long-term goal, animal growth rate and feed efficiency has increased dramatically in all livestock species over the past 50 years [1,2].”
BackgroundReliability of primary zootechnical records in dairy farming
Камалдинов, Е. В., Petrov, A. F., Шатохин, К. С., Нарожных, К. Н., Marenkov, V. G., Zhigulin, T. A., Bogdanova, O., Palchikov, P. N., & Плахова, А. А. (2022) · Bulletin of NSAU (Novosibirsk State Agrarian University) · doi:10.31677/2072-6724-2022-63-2-76-83 · Cited by 5 · see citing works
Environmental, Nutritional, and Cultural Sustainability of Novel Food Protein Sources
Nitride, C., D’Auria, G., Ferrara, A., & Ferranti, P. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823960-5.00056-1 · Cited by 5 · see citing works
Copy Number Variation Discovery in South African Nguni-Sired and Bonsmara-Sired Crossbred Cattle
Kooverjee, B. B., Soma, P., van der Nest, M. A., Scholtz, M. M., & Neser, F. W. C. (2023) · Animals · doi:10.3390/ani13152513 · Cited by 5 · see citing works
Азат, С., Mutushev, A. Z., LLP «SPTC Zhalyn», A., Eszhanova, G., LLP «SPTC Zhalyn», A., Tuleibayeva, A., LLP «SPTC Zhalyn», A., Zhumakhan, K., LLP «SPTC Zhalyn», A., Nuraly, A., et al. (2023) · Engineered Science · doi:10.30919/es994 · Cited by 5 · see citing works
BECA: A Computer Vision Dataset for Long-Term Recognition In Beef Cattle
Zhang, Y., Li, L., Li, C., Wang, S., Rong, Y., Niu, K., & He, Z. (2025) · Scientific Data · doi:10.1038/s41597-025-06326-5 · Cited by 5 · see citing works
Estimation of genetic parameters for mature cow size in North American and Australian Angus cattle
Ojo, A. O., Campos, G. S., Mulim, H. A., Garcia, A. L. S., Schinckel, A. P., Duff, C. J., Miller, S. P., Retallick-Riley, K. J., & de Oliveira, H. R. (2025) · Journal of Animal Science · doi:10.1093/jas/skaf212 · Cited by 4 · see citing works
“Although genetic selection for growth traits has contributed to increased mature cow size in most beef cattle populations, their feed-to-meat conversion efficiency remains lower than other livestock species (Terry et al., 2021).”
Gado, H., Ahmed, D. A., Elghandour, M. M. M. Y., Palo, P. D., D‘Alessandro, A. G., & Salem, A. Z. M. (2025) · Tropical Animal Health and Production · doi:10.1007/s11250-025-04608-z · Cited by 4 · see citing works
“This suggested that the enhanced growth observed in the experimental groups was not due to increased feed intake, but rather due to better nutrient utilization facilitated by XE (Terry et al. 2021).”
Haque, M. A., Jang, E.-B., Park, S., Lee, Y.-M., & Kim, J.-J. (2024) · Italian Journal of Animal Science · doi:10.1080/1828051x.2024.2436951 · Cited by 4 · see citing works
“In other words, while genetic selection can still be beneficial, the success of improving BF will also heavily depend on optimising feeding, housing and overall management practices to achieve the desired outcomes (Terry et al. 2021).”
Technology adoption and management practices used in Canadian cow-calf herds
Lazurko, M. M., Erickson, N., Campbell, J. R., Larson, K., & Waldner, C. (2024) · Canadian Journal of Animal Science · doi:10.1139/cjas-2023-0080 · Cited by 4 · see citing works
“Segmentation and lack of vertical integration in the beef production industry might be a driving force for a specific operator’s choice in technology adoption (Terry et al. 2021).”
US Beef Cattle Inventory Trends With Implications for Land Use and Rangelands
Fancher, H., Nagler, A. M., Ritten, J. P., & Wulfhorst, J. D. (2025) · Rangeland Ecology & Management · doi:10.1016/j.rama.2025.01.007 · Cited by 4 · see citing works
Chu, F. J., Mahasti, N. N. N., & Winayu, B. N. R. (2025) · Journal of Water Process Engineering · doi:10.1016/j.jwpe.2025.107807 · Cited by 4 · see citing works
Discriminating heat stress and feed scarcity in Bali cattle using multivariate trait analysis
Suhendro, I., Noor, R. R., Jakaria, J., Nurlatifah, A., & Furqon, A. (2025) · Tropical Animal Health and Production · doi:10.1007/s11250-025-04508-2 · Cited by 4 · see citing works
“Cattle breeding and management are critical components in agricultural practices with their ability to tolerate the heat stress being one of the key factors in determining the efficacy of cattle farming (Terry et al. 2021).”
Deng, J., Zhang, S., Li, Y., Shi, C., Qiu, X., Cao, B., He, Y., & Su, H. (2023) · Animals · doi:10.3390/ani13142284 · Cited by 4 · see citing works
Rivera, M. E., Batista, L. F. D., & Tedeschi, L. O. (2024) · Applied Animal Science · doi:10.15232/aas.2023-02511 · Cited by 4 · see citing works
Ribeiro, G. O., Terry, S. A., Hünerberg, M., Ominski, K., Larney, F. J., & McAllister, T. A. (2021) · Canadian Journal of Animal Science · doi:10.1139/cjas-2020-0159 · Cited by 4 · see citing works
Ramos, T. R., Dash, S. S., do Prado, I. N., McAllister, T. A., Stanford, K., & Terry, S. A. (2025) · Canadian Journal of Animal Science · doi:10.1139/cjas-2025-0009 · Cited by 3 · see citing works
Ruban, S., Danshyn, V., Pryima, S. V., & Sorak, D. (2024) · Animal Science and Food Technology · doi:10.31548/animal.3.2024.72 · Cited by 3 · see citing works
Feed efficiency improves sperm quality and viability of fertilisation in Dorper sheep
Matos, J. C., de Lucena, A. R. F., Ferreira, B. J. M., de Souza, W. L., Góis, G. C., Menezes, D. R., Moraes, E. A., & Queiróz, M. A. Á. (2023) · New Zealand Journal of Agricultural Research · doi:10.1080/00288233.2023.2181361 · Cited by 3 · see citing works
“However, it is essential to understand the relationships between fertility and productive traits to avoid undesirable selection e ff ects within the herd (Terry et al. 2021).”
Buryakov, N. P., Aleshin, D. E., Buryakova, M. A., Zaikina, A. S., Medvedev, I. K., Zemyachkovskaya, D. A., Laptev, G., Il'ina, L. A., Sheikh, A. I. E., Fathala, M. M., et al. (2023) · Animals · doi:10.3390/ani13111856 · Cited by 3 · see citing works
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“A holistic management approach can be particularly beneficial for resource constraint farmers in finding a unified management approach for diverse reproductive performance to improve poor herd reproduction (Terry et al. 2020).”
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“Improved beef production efficiency contributes to global food security and animal protein needs [8,9].”
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“By enhancing feed efficiency, RFI selection can reduce land use and the need for additional forage and feed production, thereby minimizing agricultural impacts on biodiversity and environmental pollution (Terry et al., 2020).”
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“Beef cattle play an important role in peri-urban agricultural production, which benefits sustainable agriculture [1,2], rural economies, and global food security [3], particularly in terms of animal protein food [4,5].”
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“Improvement in animal production is often attributed to a holistic approach, which involves considering multiple factors that the animals need to promote high growth and performance [3].”
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“Furthermore, beef cattle have been bred for increased growth rate and feed efficiency, thus consuming more in a shorter time period (Terry et al., 2021).”
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“While Ridoutt et al. [15] and Terry et al. [16] emphasized that medium-frame beef cattle can optimize productivity without disproportionately increasing water demands, Palhares et al. [8] found that animal-level management, including choosing an optimal frame size, significantly reduces the water…”
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Orange molasses as a new energy ingredient for feedlot lambs in Brazil
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Production of Bacillus subtillis protein mass on the microbial mass of Methylococcus capsulatus
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“Moreover, feed intake and digestibility were recognized as crucial factors affecting livestock productivity [40, 41].”
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“To address the increasing global demand for meat production, strategies such as genetic selection, nutritional optimization, and effective reproductive management are imperative for sustainably enhancing cattle meat production (Terry et al. 2020).”
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“Animal breeding is essential for enhancing the productivity, quality, and efficiency of livestock and agricultural systems (Terry et al., 2021).”
Unveiling Genetic Potential for Equine Meat Production: A Bioinformatics Approach
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- 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 · 2020: 1
- 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 › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › 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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