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Principal components-based selection criteria for genetic improvement of growth in sheep breeding programs
by
Notter, David R.
, Mandal, Ajoy
, Gayari, Indrajit
, Lalhmingmawii, Sylvia
, Baneh, Hasan
in
Age
/ Agriculture
/ Animal Genetics and Genomics
/ Animal husbandry
/ Animal models
/ Animals
/ Biomedical and Life Sciences
/ Birth weight
/ Birth Weight - genetics
/ Bivariate analysis
/ Body weight
/ Body Weight - genetics
/ Breeding - methods
/ Correlation
/ Criteria
/ Environmental effects
/ Estimates
/ Evolutionary Biology
/ Female
/ genetic correlation
/ Genetic effects
/ Genetic improvement
/ Genetic relationship
/ Genetic research
/ Growth
/ growth curves
/ Lamb
/ Life Sciences
/ Male
/ Maternal effects
/ Models, Genetic
/ Principal Component Analysis
/ Principal components analysis
/ Research Article
/ Selection, Genetic
/ Sheep
/ Sheep - genetics
/ Sheep - growth & development
/ yearlings
2025
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Principal components-based selection criteria for genetic improvement of growth in sheep breeding programs
by
Notter, David R.
, Mandal, Ajoy
, Gayari, Indrajit
, Lalhmingmawii, Sylvia
, Baneh, Hasan
in
Age
/ Agriculture
/ Animal Genetics and Genomics
/ Animal husbandry
/ Animal models
/ Animals
/ Biomedical and Life Sciences
/ Birth weight
/ Birth Weight - genetics
/ Bivariate analysis
/ Body weight
/ Body Weight - genetics
/ Breeding - methods
/ Correlation
/ Criteria
/ Environmental effects
/ Estimates
/ Evolutionary Biology
/ Female
/ genetic correlation
/ Genetic effects
/ Genetic improvement
/ Genetic relationship
/ Genetic research
/ Growth
/ growth curves
/ Lamb
/ Life Sciences
/ Male
/ Maternal effects
/ Models, Genetic
/ Principal Component Analysis
/ Principal components analysis
/ Research Article
/ Selection, Genetic
/ Sheep
/ Sheep - genetics
/ Sheep - growth & development
/ yearlings
2025
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Principal components-based selection criteria for genetic improvement of growth in sheep breeding programs
by
Notter, David R.
, Mandal, Ajoy
, Gayari, Indrajit
, Lalhmingmawii, Sylvia
, Baneh, Hasan
in
Age
/ Agriculture
/ Animal Genetics and Genomics
/ Animal husbandry
/ Animal models
/ Animals
/ Biomedical and Life Sciences
/ Birth weight
/ Birth Weight - genetics
/ Bivariate analysis
/ Body weight
/ Body Weight - genetics
/ Breeding - methods
/ Correlation
/ Criteria
/ Environmental effects
/ Estimates
/ Evolutionary Biology
/ Female
/ genetic correlation
/ Genetic effects
/ Genetic improvement
/ Genetic relationship
/ Genetic research
/ Growth
/ growth curves
/ Lamb
/ Life Sciences
/ Male
/ Maternal effects
/ Models, Genetic
/ Principal Component Analysis
/ Principal components analysis
/ Research Article
/ Selection, Genetic
/ Sheep
/ Sheep - genetics
/ Sheep - growth & development
/ yearlings
2025
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Principal components-based selection criteria for genetic improvement of growth in sheep breeding programs
Journal Article
Principal components-based selection criteria for genetic improvement of growth in sheep breeding programs
2025
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Overview
Background
The objective of this study was to investigate the use of principal components (PC) as potential selection criteria to improve growth in sheep. The PC were derived from body weights of 2223 Muzaffarnagari lambs at birth, 90, 180, 270 and 360 days of age. Univariate animal models including various combinations of direct and maternal effects were fitted to the PC. Genetic correlations among PC and with body weights and estimated growth curve parameters for the Brody and Richards functions were estimated using bivariate animal models.
Results
The first three PC explained 94% of multivariate variation in body weights. PC1 contrasted lambs with larger versus smaller body weights at all postnatal ages. PC2 contrasted lambs with heavier versus lighter birth weights, with little emphasis on postnatal weights. PC3 placed positive emphasis on weights at birth and after 6 months of age but negative emphasis on weight at 3 through 9 months of age. Direct heritabilities for PC1, PC2, and PC3 were 0.19, 0.12 and 0.08, respectively. Maternal genetic and permanent environmental effects affected PC1 (0.04 and 0.08, respectively). PC2 was influenced by maternal genetic effects (0.10). Direct genetic correlations of PC1 with PC2 and PC3 were 0.48 and 0.72. The maternal genetic correlation between PC1 and PC2 was 0.97. Genetic relationships of PC1 with yearling weight and with estimates of final body weight from both growth functions exceeded 0.65. PC2 was genetically correlated with birth weight (≥ 0.64) and degree of maturity for body weight at birth (u
0
; ≥ 0.83). PC3 had negative genetic correlations with measures of maturing rate (~ -0.86) and with u
0
( -0.52 and -0.49), but positive correlations with final body weight (0.85 and 0.90) and time required to reach 50% of mature weight (0.83). Maternal genetic correlations of PC1 and PC2 with birth weight and u
0
exceeded 0.83.
Conclusions
We conclude that PC could be used as selection criteria in genetic improvement programs in sheep. Also, selection on PC1 and PC2 would likely be adequate to describe and improve direct and maternal genetic potentials for postnatal growth and birth weight, respectively, in Muzaffarnagari lambs.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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