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

  • Antonio de Sousa Brito Neto
  • , Caio Julio Lima Herbster
  • , Marcos Inacio Marcondes
  • , Juana Catarina Cariri Chagas
  • , Ronaldo Lopes Oliveira
  • , Leilson Rocha Bezerra
  • , Luciano Pinheiro da Silva
  • , Elzania Sales Pereira

Publication: Contribution to journalJournal articlepeer-review

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) x FBW; EBW (kg) = 1.367 (+/- 0.5472) + 1.681 (+/- 0.0210) x CW and EBWG (kg) = 0.004 (+/- 0.0026) + 1.679 (+/- 0.0758) x 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) x EBW 0.75 x CG (0.797) ((+/- 0.0399)); RE (MJ/day) = 1.522 (+/- 0.0699) x EBW (0.75) x CG (0.797) ((+/- 0.0399)) and RE (MJ/day) = 1.827 (+/- 0.0739) x EBW (0.75 )x 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.
Original languageEnglish
Number of pages10
JournalJournal of Agricultural Science
Volume162
Issue number4
DOIs
Publication statusPublished - 2024

Bibliographical note

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© 2024 Cambridge University Press. All rights reserved.

Keywords

  • Carcass gain
  • energy
  • meta-analysis
  • prediction model
  • sheep

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