Beef cow weight variations during gestation and offspring performance: a meta-analysis
DOI:
https://doi.org/10.5433/1679-0359.2021v42n6SUPL2p3961Keywords:
Birth weight, Calves, Fetal programming.Abstract
The objective of this meta-analysis was to evaluate the effects of weight loss or weight gain of beef cows during the second and/or third trimester of gestation on the postnatal performance of the progeny. The variation in cow weight during the gestational period was calculated to standardize the treatments, being them: severe loss (SL = cows that lost more than 10% of weight); moderate loss (ML = cows that lost from 0 to 10% of weight) and weight gain (WG = cows that gained weight). The intensity of the cow weight variation effect was calculated as the mean difference (MD) with a 95% confidence interval and heterogeneity determined using the Q test and the I2 statistic. A meta-analysis of random effects was conducted for each indicator separately with the means of the control and experimental groups. Calves from WG cows were higher for birth weight (P = 0.0094); weight adjusted to 205 days (P = 0.0127) and average daily gain during pre-weaning (P < 0.0001) in relation to calves from ML cows. The W205 of calves from SL cows was 11.6 kg lower than the progeny from ML cows. The post-weaning performance of the progeny tended (P = 0.0868) to be higher in the progeny of WG cows than ML ones. The weight gain of beef cows during gestation improves the pre- and post-weaning performance of the progeny, with more evident effects in the early months of life of the offspring.Downloads
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References
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Rodrigues, L. S., Moura, A. F. de, Alves, D. C., Fº., Brondani, I. L., Klein, J. L., Adams, S. M.,... Pereira, L. B. (2021). Análise de componentes principais da variação de peso da vaca durante a gestação na programação fetal de fêmeas. Research, Society and Development, 10(2), e14110212077. doi: 10.33448/rsd-v10i2.12077
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Taylor, A. R., Mohrhauser, D. A., Pritchard, R. H., Underwood, K. R., Wertz-Lutz, A. E., & Blair, A. D. (2016). The influence of maternal energy status during mid-gestation on growth, cattle performance, and the immune response in the resultant beef progeny. The Professional Animal Scientist, 32(1), 389-399. doi: 10.15232/pas.2015-01469
Tsuneda, P. P., Hatamoto-Zervoudadakls, L. K., Duarte, M. F., Jr., Silva, L. E. S., Delbem, R. A., & Motheo, T. F. (2017). Efeitos da nutrição materna sobre o desenvolvimento e performance reprodutiva da prole de ruminantes. Investigação, 16(1), 56-61. doi: 10.26843/investigacao.v16i1.1790
Webb, M. J., Block, J. J., Funston, R. N., Underwood, K. R., Legako, J. F., Harty, A. A.,… Blair, A. D. (2019). Influence of maternal protein restriction in primiparous heifers during mid and/or late-gestation on meat quality and fatty acid profile of progeny. Meat Science, 152(1), 31-37. doi: 10.1016/j.meatsci.2019.02.006
Wilson, T. B., Schroeder, A. R., Ireland, F. A., Faulkner, D. B. & Shike, D. W. (2015). Effects of late gestation distillers grains supplementation on fall-calving beef cow performance and steer calf growth and carcass characteristics. Journal of Animal Science, 93(1), 4843-4851. doi: 10.2527/jas2015-9228
Wilson, T. B., Faulkner, D. B., & Shike, D. W. (2016). Influence of prepartum dietary on beef cow performance and calf growth and carcass characteristics. Livestock Science, 184(1), 21-27. doi: 10.1016/j.livsci.2015.12.004
Brameld, J. M., Greenwood, P. L., & Bell, A. W. (2010). Biological mechanisms of fetal development relating to postnatal growth, efficiency and carcass characteristics in ruminants. In P. L. Greenwood, A. W. Bell, P. E. Vercoe, & G. J. Viljoen (Eds.), Managing the prenatal environment to enhance livestock productivity (pp. 93-120). Dordrecht: Springer Science and Business Media.
Capes (2020). Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Portal de Periódicos Capes/Mec. Available at: http://www.periodicos.capes.gov.br
Du, M., Huang, Y., Das, A. K., Duarte, M. S., Dodson, M. V., & Zhu, M. J. (2013). Manipulating mesenchymal progenitor cell differentiation to optimize performance and carcass value of beef cattle. Journal of Animal Science, 91(1), 1419-1427. doi: 10.2527/jas2012-5670
Du, M., Tong, J., Zhao, J., Underwood, K. R., Zhu, M. J., Ford, S. P., & Nathanielsz, P. W. (2010). Fetal programming of skeletal muscle development in ruminant animals. Journal of Animal Science, 88(1), 51-60. doi: 10.2527/jas.2009-2311
Du, M., Wang, B., Fu, X., Yang, Q., & Zhu, M. J. (2015). Fetal programming in meat production. Meat Science, 109(1), 40-47. doi: 10.1016/j.meatsci.2015.04.010
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(1), 629-634. doi: 10.1136/bmj.315.7109.629
Elsevier (2020). Science Direct. Available at: http://www.sciencedirect.com
Funston, R. N., Martin, J. L., Adams, D. C., & Larson, D. M. (2010). Winter grazing system and supplementation of beef cows during late gestation influence heifer progeny. Journal Animal Science, 88(1), 4094-4101. doi: 10.2527/jas.2010-3039
Google Scholar (2020). Google Scholar. Retrieved from http://www.scholar.google.com
Greenwood, P. L., Thompsom, A. N., & Ford, S. P. (2010). Posnatal consequences of the maternal environment and growth during prenatal life for productivity of ruminants. In P. L. Greenwood, A. W. Bell, P. E. Vercoe, & G. J. Viljoen (Eds.), Managing the prenatal environment to enhance livestock productivity (pp. 3-36). Dordrecht: Springer Science and Business Media.
Gutiérrez, V., Espasandín, A. C., Machado, P., Bielli, A., Genovese, P., & Carriquiry, M. (2014). Effects of calf early nutrition on muscle fiber characteristics and gene expression. Livest Science, 167(1), 4018-416. doi: 10.1016/j.livsci.2014.07.010
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. Pub Med, 327(6), 557-560. doi: 10.1136/bmj.327.7414.557
Keomanivong, F. E., Camacho, L. A., Lemley, C. O., Kuemper, E. A., Yunusova, R. D., Borowicz, P. P.,… Swanson, K. C. (2016). Effects of realimentation after nutrient restriction during mid- to late gestation on pancreatic digestive enzymes, serum insulin and glucose levels, and insulin-containing cell cluster morphology. Journal of Animal Phisiology and Animal Nutrition, 101(10), 589-604. doi: 10.1111/jpn.12480
Klein, J. L. (2019). Nutrição no terço final da gestação: eficiência produtiva da vaca e desempenho da progênie até os doze meses de idade. Dissertação de mestrado, Universidade Federal de Santa Maria, Santa Maria, RS, Brasil.
Klein, J. L., Machado, D. S., Adams, S. M., Alves, D. C., Fº., & Brondani, I. L. (2021). Efeitos da nutrição materna na gestação sobre a qualidade da progênie - uma revisão. Research, Society and Development, 10(2), 1-10. doi: 10.33448/rsd-v10i2.12654
Larson, D. M., Martin, J. L., Adams, D. C., & Funston, R. N. (2009). Winter grazing system and supplementation during late gestation influence performance of beef cows and steer progeny. Journal of Animal Science, 87(1), 1147-1155. doi: 10.2527/jas.2008-1323
Lean, I. J., Thompson, J. M., & Dunshea, F. R. (2014). A meta-analysis of zilpaterol and ractopamine effects on feedlot performance, carcass traits and shear strength of meat in cattle. PLoS One 9(12), 1-28. doi: 10.1371/journal
LeMaster, C. T., Taylor, R. K., Ricks, R. E., & Long, N. M. (2017). The effects of late gestation maternal nutrient restriction whit or without protein supplementation on endocrine regulation of newborn and postnatal beef calves. Theriogenology, 87(1), 64-71. doi: 10.1016/j.theriogenology.2016.08.004
Maresca, S., Lopez Valiente, S., Rodriguez, A. M., Long, N. M., Pavan, E., & Quintans, G. (2018). Effect of protein restriction of bovine dams during late gestation on offspring postnatal growth, glucose-insulin metabolism and IGF-1 concentration. Livestock Science, 212(1), 120-126. doi: 10.1016/j.livsci.2018.04.009
Maresca, S., López Valiente, S., Rodriguez, A. M., Testa, L. M., Long, N. M., Quintans, G. I., & Pavan, E. (2019). The influence of protein restriction during mid- to late gestation on beef offspring growth, carcass characteristic and meat quality. Meat Science, 153(1), 103-108. doi: 10.1016/j.meatsci.2019.03.014
Marques, R. S., Cooke, R. F., Rodrigues, M. C., Moriel, P., & Bohnert, D. W. (2016). Impacts of cow body condition score during gestation on weaning performance of the offspring. Livestock Science, 191(1), 174-178. doi: 10.1016/j.livsci.2016.08.007
McCarty, K. J., Washburn, J. L., Taylor, R. K., & Long, N. M. (2020). The effects of early or mid-gestation nutrient restriction on bovine fetal pancreatic development. Domestic Animal Endocrinology, 70(1), 1-6. doi: 10.1016/j.domaniend.2019.07.005
Mulliniks, J. T., Mathis, C. P., Cox, S. H., & Petersen, M. K. (2013). Supplementation strategy during late gestation alters steer progeny health in the feedlot without affecting cow performance. Animal Feed Science and Technology, 185(1), 126-132. doi: 10.1016/j.anifeedsci.2013.07.006
R Core Team (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
Ramírez, M., Testa, L. M., Valiente, S. L., La Torre, E., Long, N. M., Rodriguez, A. M.,... Maresca, S. (2020). Maternal energy status during late gestation: Effects on growth performance, carcass characteristics and meat quality of steers progeny. Meat Science, 164(1), 1-7. doi: 10.1016/j.meatsci.2020.108095
Reynolds, L. P., Borowicz, P. P., Caton, J. S., Crouse, M. S., Dahlen, C. R., & Ward, A. K. (2019). Developmental programming of fetal growth and development. Veterinary Clinics Food Animal, 35(1), 229-247. doi: 10.1016/j.cvfa.2019.02.006
Rodrigues, L. S. (2019). Nutrição no terço final da gestação: eficiência produtiva da vaca e desempenho da progênie até os doze meses de idade. Tese de doutorado, Universidade Federal de Santa Maria, Santa Maria, RS, Brasil.
Rodrigues, L. S., Moura, A. F. de, Alves, D. C., Fº., Brondani, I. L., Klein, J. L., Adams, S. M.,... Pereira, L. B. (2021). Análise de componentes principais da variação de peso da vaca durante a gestação na programação fetal de fêmeas. Research, Society and Development, 10(2), e14110212077. doi: 10.33448/rsd-v10i2.12077
Schwarzer, G. (2016). Meta: general package for meta-analysis Retrieved from https://cran.r-project.org/web/packages/meta/index.html
Scielo (2020). Scientific Electronic Library Online. Retrieved from http://www.scielo.br(alterar)
Taylor, A. R., Mohrhauser, D. A., Pritchard, R. H., Underwood, K. R., Wertz-Lutz, A. E., & Blair, A. D. (2016). The influence of maternal energy status during mid-gestation on growth, cattle performance, and the immune response in the resultant beef progeny. The Professional Animal Scientist, 32(1), 389-399. doi: 10.15232/pas.2015-01469
Tsuneda, P. P., Hatamoto-Zervoudadakls, L. K., Duarte, M. F., Jr., Silva, L. E. S., Delbem, R. A., & Motheo, T. F. (2017). Efeitos da nutrição materna sobre o desenvolvimento e performance reprodutiva da prole de ruminantes. Investigação, 16(1), 56-61. doi: 10.26843/investigacao.v16i1.1790
Webb, M. J., Block, J. J., Funston, R. N., Underwood, K. R., Legako, J. F., Harty, A. A.,… Blair, A. D. (2019). Influence of maternal protein restriction in primiparous heifers during mid and/or late-gestation on meat quality and fatty acid profile of progeny. Meat Science, 152(1), 31-37. doi: 10.1016/j.meatsci.2019.02.006
Wilson, T. B., Schroeder, A. R., Ireland, F. A., Faulkner, D. B. & Shike, D. W. (2015). Effects of late gestation distillers grains supplementation on fall-calving beef cow performance and steer calf growth and carcass characteristics. Journal of Animal Science, 93(1), 4843-4851. doi: 10.2527/jas2015-9228
Wilson, T. B., Faulkner, D. B., & Shike, D. W. (2016). Influence of prepartum dietary on beef cow performance and calf growth and carcass characteristics. Livestock Science, 184(1), 21-27. doi: 10.1016/j.livsci.2015.12.004
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Published
2021-10-08
How to Cite
Klein, J. L., Machado, D. S., Adams, S. M., Pötter, L., Alves Filho, D. C., & Brondani, I. L. (2021). Beef cow weight variations during gestation and offspring performance: a meta-analysis. Semina: Ciências Agrárias, 42(6SUPL2), 3961–3976. https://doi.org/10.5433/1679-0359.2021v42n6SUPL2p3961
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