Development and evaluations of equations to predict empty body weight in pre-weaned hair sheep lambs

ABSTRACT This research aimed to assess the relationships among shrunk body weight (SBW) and empty body weight (EBW) to develop equations to estimate EBW in 121 pre-weaned hair sheep lambs from different genotypes (Pelibuey, n=39; Katahdin, n=27 and crossbred Pelibuey × Black Belly, n=55), sex (non-castrated male, n=65 and female, n=56) and litter size (single, n=42 and double, n=79). Linear model with intercept, Linear model without intercept and exponential regression models were used for data analysis. The correlation coefficients among SBW and EBW was high (r = 0.89). The regression equations had high determination coefficients (r2) of 0.97. The final model fitted to estimate the EBW as a function of SBW was: EBW (kg) = 0.0065 (±0.14*) + 0.88 (±0.0124***) ×SBW, since it presented better fit values and was statistically significant (P<0.001). The equation developed and evaluated in the present study revealed that the linear relationship between SBW and EBW can be used to predict EBW in pre-weaned hair sheep lambs.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.1590/1678-4162-13173
Primary Topic
Topological Materials and Phenomena
Type
article
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article

Development and evaluations of equations to predict empty body weight in pre-weaned hair sheep lambs

SHILAP Revista de lepidopterología
Topological Materials and Phenomena
article

Development and evaluations of equations to predict empty body weight in pre-weaned hair sheep lambs

article en

Abstract

ABSTRACT This research aimed to assess the relationships among shrunk body weight (SBW) and empty body weight (EBW) to develop equations to estimate EBW in 121 pre-weaned hair sheep lambs from different genotypes (Pelibuey, n=39; Katahdin, n=27 and crossbred Pelibuey × Black Belly, n=55), sex (non-castrated male, n=65 and female, n=56) and litter size (single, n=42 and double, n=79). Linear model with intercept, Linear model without intercept and exponential regression models were used for data analysis. The correlation coefficients among SBW and EBW was high (r = 0.89). The regression equations had high determination coefficients (r2) of 0.97. The final model fitted to estimate the EBW as a function of SBW was: EBW (kg) = 0.0065 (±0.14*) + 0.88 (±0.0124***) ×SBW, since it presented better fit values and was statistically significant (P<0.001). The equation developed and evaluated in the present study revealed that the linear relationship between SBW and EBW can be used to predict EBW in pre-weaned hair sheep lambs.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 60%
Topological Materials and Phenomena
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