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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

Publikation: Bidrag till tidskriftArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

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.
OriginalspråkEngelska
Antal sidor10
TidskriftJournal of Agricultural Science
Volym162
Nummer4
DOI
StatusPublicerad - 2024

Bibliografisk information

Publisher Copyright:
© 2024 Cambridge University Press. All rights reserved.

Nyckelord

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

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