Selection effect for growth traits on energy requirements in beef Nelore steers
Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and slaughter cycles. All the animals had measures from 120 days to 7 years old. The parameters necessary to evaluate the selection effect on energy...
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Published in: | Tropical animal health and production Vol. 54; no. 4; p. 213 |
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Language: | English |
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01-08-2022
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Abstract | Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and slaughter cycles. All the animals had measures from 120 days to 7 years old. The parameters necessary to evaluate the selection effect on energy requirements were obtained by random regression analysis using Legendre polynomials. The models included additive direct and maternal effects, and animal and maternal permanent environmental effects as random terms. Contemporary group and dam age at calving (linear and quadratic effect) were included as fixed effects, and orthogonal Legendre polynomials of animal age (cubic regression) were considered random covariables. The coefficients from the model M3353_5 were used to calculate the genetic gains necessary to predict the increase in phenotypes. The selection was simulated for body weight (BW) and weight gain (WG) at different ages and energy requirements were calculated using NRC equations. The cost of feed was calculated for a cow-calf and slaughter cycle of production considering a system of
Brachiaria decumbens
pasture without supplementation. In slaughter system, the selection for weight of 365 days of age is the best option. In cow-calf systems, the selection W120 is the best choice. |
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AbstractList | Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and slaughter cycles. All the animals had measures from 120 days to 7 years old. The parameters necessary to evaluate the selection effect on energy requirements were obtained by random regression analysis using Legendre polynomials. The models included additive direct and maternal effects, and animal and maternal permanent environmental effects as random terms. Contemporary group and dam age at calving (linear and quadratic effect) were included as fixed effects, and orthogonal Legendre polynomials of animal age (cubic regression) were considered random covariables. The coefficients from the model M3353_5 were used to calculate the genetic gains necessary to predict the increase in phenotypes. The selection was simulated for body weight (BW) and weight gain (WG) at different ages and energy requirements were calculated using NRC equations. The cost of feed was calculated for a cow-calf and slaughter cycle of production considering a system of
Brachiaria decumbens
pasture without supplementation. In slaughter system, the selection for weight of 365 days of age is the best option. In cow-calf systems, the selection W120 is the best choice. Abstract Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and slaughter cycles. All the animals had measures from 120 days to 7 years old. The parameters necessary to evaluate the selection effect on energy requirements were obtained by random regression analysis using Legendre polynomials. The models included additive direct and maternal effects, and animal and maternal permanent environmental effects as random terms. Contemporary group and dam age at calving (linear and quadratic effect) were included as fixed effects, and orthogonal Legendre polynomials of animal age (cubic regression) were considered random covariables. The coefficients from the model M3353_5 were used to calculate the genetic gains necessary to predict the increase in phenotypes. The selection was simulated for body weight (BW) and weight gain (WG) at different ages and energy requirements were calculated using NRC equations. The cost of feed was calculated for a cow-calf and slaughter cycle of production considering a system of Brachiaria decumbens pasture without supplementation. In slaughter system, the selection for weight of 365 days of age is the best option. In cow-calf systems, the selection W120 is the best choice. Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and slaughter cycles. All the animals had measures from 120 days to 7 years old. The parameters necessary to evaluate the selection effect on energy requirements were obtained by random regression analysis using Legendre polynomials. The models included additive direct and maternal effects, and animal and maternal permanent environmental effects as random terms. Contemporary group and dam age at calving (linear and quadratic effect) were included as fixed effects, and orthogonal Legendre polynomials of animal age (cubic regression) were considered random covariables. The coefficients from the model M3353_5 were used to calculate the genetic gains necessary to predict the increase in phenotypes. The selection was simulated for body weight (BW) and weight gain (WG) at different ages and energy requirements were calculated using NRC equations. The cost of feed was calculated for a cow-calf and slaughter cycle of production considering a system of Brachiaria decumbens pasture without supplementation. In slaughter system, the selection for weight of 365 days of age is the best option. In cow-calf systems, the selection W120 is the best choice. |
ArticleNumber | 213 |
Author | de Camargo, Gregório Miguel Ferreira de Araújo Neto, Francisco Ribeiro Lôbo, Raysildo Barbosa Costa, Raphael Bermal da Cruz, Valdecy Aparecida Rocha Del Pilar Solar Diaz, Iara Bezerra, Luis Antonio Framartino de Oliveira, Henrique Nunes |
Author_xml | – sequence: 1 givenname: Iara orcidid: 0000-0002-7285-0384 surname: Del Pilar Solar Diaz fullname: Del Pilar Solar Diaz, Iara email: iarasolar@hotmail.com organization: Escola de Medicina Veterinária E Zootecnia, Universidade Federal da Bahia (UFBA) – sequence: 2 givenname: Luis Antonio Framartino surname: Bezerra fullname: Bezerra, Luis Antonio Framartino organization: Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo – sequence: 3 givenname: Raysildo Barbosa surname: Lôbo fullname: Lôbo, Raysildo Barbosa organization: Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo – sequence: 4 givenname: Francisco Ribeiro surname: de Araújo Neto fullname: de Araújo Neto, Francisco Ribeiro organization: Ciência e Tecnologia Goiano – IF Goiano, Instituto Federal de Educação, RodoviaSulGoiana – sequence: 5 givenname: Gregório Miguel Ferreira surname: de Camargo fullname: de Camargo, Gregório Miguel Ferreira organization: Escola de Medicina Veterinária E Zootecnia, Universidade Federal da Bahia (UFBA) – sequence: 6 givenname: Valdecy Aparecida Rocha surname: da Cruz fullname: da Cruz, Valdecy Aparecida Rocha organization: Escola de Medicina Veterinária E Zootecnia, Universidade Federal da Bahia (UFBA) – sequence: 7 givenname: Raphael Bermal surname: Costa fullname: Costa, Raphael Bermal organization: Escola de Medicina Veterinária E Zootecnia, Universidade Federal da Bahia (UFBA) – sequence: 8 givenname: Henrique Nunes surname: de Oliveira fullname: de Oliveira, Henrique Nunes organization: Departamento de Zootecnia, Faculdade de Ciências Agrárias E Veterinárias, Universidade Estadual Paulista (Unesp) |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35704245$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1071/AN12428 10.3389/fvets.2020.00476 10.1590/S0102-09352011000100024 10.2527/jas.2008-1511 10.2527/jas1970.305706x 10.1631/jzus.2007.B0815 10.1590/S1413-70542004000300022 10.1590/S1516-35982006000300035 10.1590/S1516-35982002000200027 10.4238/vol1-1gmr005 10.4321/S0004-05922010000200019 10.1590/S1516-35982009000500021 10.1590/S0102-09352001000100016 10.4141/A02-065 10.1590/S1516-35982002000200030 10.1071/A98075 10.2527/1992.7092668x 10.17226/19014 |
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Copyright | This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022. |
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Keywords | Nelore Profitability Energy requirement Correlated response Growth Beef cattle production system Selection criteria |
Language | English |
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Snippet | Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems: cow-calf and... Abstract Growth data of 77,372 Nelore steers were used to estimate the selection effect on energy requirements considering two beef production systems:... |
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StartPage | 213 |
SubjectTerms | Age Animals Beef Beef cattle Biomedical and Life Sciences Body weight Body weight gain Energy Energy requirements Environmental effects Feeds Life Sciences Maternal effects Meat production Pasture Phenotypes Polynomials Regression analysis Regular Articles Slaughter Veterinary Medicine/Veterinary Science Zoology |
Title | Selection effect for growth traits on energy requirements in beef Nelore steers |
URI | https://link.springer.com/article/10.1007/s11250-022-03210-x https://www.ncbi.nlm.nih.gov/pubmed/35704245 https://www.proquest.com/docview/2676704372 https://search.proquest.com/docview/2676922712 |
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