Using carcass information as a predictor variable of empty body weight, empty body weight gain and retained energy of hair sheep

Abstract The objective was to develop equations to predict carcass weight (CW), use CW to predict empty body weight (EBW); and carcass gain (CG) to predict empty body weight gain (EBWG) and retained energy (RE) in hair sheep. To generate the prediction models, a data set was composed of individual measurements from 569 sheep encompassing intact males ( n = 416), castrated males ( n = 51), and females ( n = 102). Validation analyses were performed by using the Model Evaluation System (MES). The prediction equations for CW, EBW, and EBWG were not influenced by sex class ( P > 0.05), and the following equations were generated, respectively: CW (kg) = − 0.234 (±1.1358) + 0.485 (±0.0387) × FBW; EBW (kg) = 1.367 (±0.5472) + 1.681 (±0.0210) × CW and EBWG (kg) = 0.004 (±0.0026) + 1.679 (±0.0758) × CG. There was an effect of sex class on the intercept ( P = 0.0013) of the relationship between RE and CG: RE (MJ/day) = 1.448 (±0.0657) × EBW 0.75 × CG 0.797 (±0.0399) ; RE (MJ/day) = 1.522 (±0.0699) × EBW 0.75 × CG 0.797 (±0.0399) and RE (MJ/day) = 1.827 (±0.0739) × EBW 0.75 × CG 0.797 (±0.0399) for intact males, castrated males and females, respectively. This study highlights the importance of incorporating carcass information into EBW, EBWG, and RE predictions. Replacing empty body weight gain with carcass gain might be a suitable alternative to estimate the retained energy of hair sheep. In addition, the generated equations will provide support for meat production systems in carcass weight prediction.

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Publication Details

Journal
The Journal of Agricultural Science
Published
2024-11-20
DOI
https://doi.org/10.1017/s0021859624000455
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.10

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article

Using carcass information as a predictor variable of empty body weight, empty body weight gain and retained energy of hair sheep

Alexandrino Pereira dos Santos Neto, Juana Catarina Cariri Chagas, Luciano Pinheiro da Silva, Marcos Inácio Marcondes et al.
2 citations
The Journal of Agricultural Science
Genetic and phenotypic traits in livestock
1.10
article

Using carcass information as a predictor variable of empty body weight, empty body weight gain and retained energy of hair sheep

Alexandrino Pereira dos Santos Neto, Juana Catarina Cariri Chagas, Luciano Pinheiro da Silva, Marcos Inácio Marcondes, Elzânia Sales Pereira, Caio Júlio Lima Herbster, Leílson Rocha Bezerra, Ronaldo Lopes Oliveira
article en
2 citations

Abstract

Abstract The objective was to develop equations to predict carcass weight (CW), use CW to predict empty body weight (EBW); and carcass gain (CG) to predict empty body weight gain (EBWG) and retained energy (RE) in hair sheep. To generate the prediction models, a data set was composed of individual measurements from 569 sheep encompassing intact males ( n = 416), castrated males ( n = 51), and females ( n = 102). Validation analyses were performed by using the Model Evaluation System (MES). The prediction equations for CW, EBW, and EBWG were not influenced by sex class ( P > 0.05), and the following equations were generated, respectively: CW (kg) = − 0.234 (±1.1358) + 0.485 (±0.0387) × FBW; EBW (kg) = 1.367 (±0.5472) + 1.681 (±0.0210) × CW and EBWG (kg) = 0.004 (±0.0026) + 1.679 (±0.0758) × CG. There was an effect of sex class on the intercept ( P = 0.0013) of the relationship between RE and CG: RE (MJ/day) = 1.448 (±0.0657) × EBW 0.75 × CG 0.797 (±0.0399) ; RE (MJ/day) = 1.522 (±0.0699) × EBW 0.75 × CG 0.797 (±0.0399) and RE (MJ/day) = 1.827 (±0.0739) × EBW 0.75 × CG 0.797 (±0.0399) for intact males, castrated males and females, respectively. This study highlights the importance of incorporating carcass information into EBW, EBWG, and RE predictions. Replacing empty body weight gain with carcass gain might be a suitable alternative to estimate the retained energy of hair sheep. In addition, the generated equations will provide support for meat production systems in carcass weight prediction.

The Journal of Agricultural Science
Universidade Federal da Bahia (BR), Universidade Federal do Ceará (BR), Swedish University of Agricultural Sciences (SE), Universidade Federal de Campina Grande (BR), Washington State University (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Instituto Nacional de Ciência e Tecnologia de Ciência Animal
Openalex Percentile: Top 18%
Genetic and phenotypic traits in livestock
1.10
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