Back to Search
Start Over
Accurate assessment of body weights using morphometric measurements in Landlly pigs
- Source :
- Tropical animal health and production. 53(3)
- Publication Year :
- 2021
-
Abstract
- The aim of the study was to evaluate 16 novel morphometric traits of Landlly piglets at weaning (6 weeks) and post weaning (8 weeks) stage and to predict corresponding body weight from the measurements. A total of 279 Landlly piglets (n = 279, 75% Landrace + 25% Ghurrah crosses) were enrolled in this study. Body length, heart girth, paunch girth, height at wither, height at back, rump width, thigh circumference, neck circumference, and body depth had high correlation coefficients (0.8–0.97) with body weight at both the stages. Stepwise regression showed that body length and heart girth contributed most in prediction of both body weights while height at wither for body weight at 6 weeks and neck circumference for body weight at 8 weeks was the next highest contributing trait. Akaike’s information criterion, Bayesian information criteria, adjusted R2, concordance correlation coefficient, bias correction factor, modeling efficiency, and coefficient of model determination were used to determine the most appropriate model for the prediction of body weight. Model containing body length and heart girth was fitted best to data for prediction of body weight at both weaning and post weaning stage with adjusted R2 values of 0.94 and 0.96, respectively. Hence, 2 different models were proposed for accurately predicting body weight in Landlly pigs at 6 and 8 weeks.
- Subjects :
- Neck circumference
Rump
040301 veterinary sciences
Swine
Body Weight
0402 animal and dairy science
Bayes Theorem
Heart
04 agricultural and veterinary sciences
Weaning
Stepwise regression
040201 dairy & animal science
Girth (geometry)
0403 veterinary science
Concordance correlation coefficient
Animal science
Phenotype
Food Animals
Bayesian information criterion
Animals
Animal Science and Zoology
Akaike information criterion
Mathematics
Subjects
Details
- ISSN :
- 15737438
- Volume :
- 53
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Tropical animal health and production
- Accession number :
- edsair.doi.dedup.....3f8f1ec6127db519919dad57a310753b