Estimation of Genomic Breeding Values for Economic Traits in Alxa-Type Cashmere Goats Using Bayesian Methods.
- 1Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot 010031, China.
- 2National and Local Joint Engineering Research Center for Genetic Resources Evaluation and Breeding Technology of Meat Sheep (Inner Mongolia), Hohhot 010031, China.
Abstract
Conventional breeding has a long generation interval; genomic selection can enable early selection and shorten the breeding process in cashmere goats. This study aimed to estimate genomic breeding values for economic traits in Inner Mongolia (Alxa-type) cashmere goats using Bayesian methods. Whole-genome resequencing at 1× depth was performed on 491 Alxa-type cashmere goats (40 males and 451 females), and genotypes were imputed to 10× using a reference panel with an average imputation accuracy of 97.90%. Fixed effects were determined by analysis of variance, and breeding values for body weight, cashmere fiber diameter, and cashmere yield were estimated using Bayes A, Bayes B, and Bayes C; prediction accuracy and unbiasedness were evaluated by five-fold cross-validation. Measurement year and group affected all three traits highly significantly (p < 0.01); sex affected body weight and cashmere yield highly significantly (p < 0.01) but no significant effect on cashmere fiber diameter (p > 0.05); and maternal age had a significant effect on body weight (p < 0.05), but no significant effect on cashmere fiber diameter or cashmere yield (p > 0.05); group had a highly significant effect on all three traits (p < 0.01). Breeding values were estimated using Bayes A, Bayes B, and Bayes C, with five-fold cross-validation, and the three methods performed comparably overall in this population.
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BibTeX
@article{quan2026estimation,
title = {{Estimation of Genomic Breeding Values for Economic Traits in Alxa-Type Cashmere Goats Using Bayesian Methods.}},
author = {Jie Quan and Tiecheng Wu and Tao Wang and Junyang Liu and Mengyu Guo and Leqi Yi and Bin Liu},
journal = {Animals : an open access journal from MDPI},
year = {2026},
month = oct,
doi = {10.3390/ani16203308},
url = {https://europepmc.org/article/MED/42939239},
note = {CC BY},
}
RIS
TY - JOUR
TI - Estimation of Genomic Breeding Values for Economic Traits in Alxa-Type Cashmere Goats Using Bayesian Methods.
AU - Jie Quan
AU - Tiecheng Wu
AU - Tao Wang
AU - Junyang Liu
AU - Mengyu Guo
AU - Leqi Yi
AU - Bin Liu
PY - 2026
DA - 2026/10/21
JO - Animals : an open access journal from MDPI
DO - 10.3390/ani16203308
UR - https://europepmc.org/article/MED/42939239
AB - Conventional breeding has a long generation interval; genomic selection can enable early selection and shorten the breeding process in cashmere goats. This study aimed to estimate genomic breeding values for economic traits in Inner Mongolia (Alxa-type) cashmere goats using Bayesian methods. Whole-genome resequencing at 1× depth was performed on 491 Alxa-type cashmere goats (40 males and 451 females), and genotypes were imputed to 10× using a reference panel with an average imputation accuracy of 97.90%. Fixed effects were determined by analysis of variance, and breeding values for body weight, cashmere fiber diameter, and cashmere yield were estimated using Bayes A, Bayes B, and Bayes C; prediction accuracy and unbiasedness were evaluated by five-fold cross-validation. Measurement year and group affected all three traits highly significantly (p < 0.01); sex affected body weight and cashmere yield highly significantly (p < 0.01) but no significant effect on cashmere fiber diameter (p > 0.05); and maternal age had a significant effect on body weight (p < 0.05), but no significant effect on cashmere fiber diameter or cashmere yield (p > 0.05); group had a highly significant effect on all three traits (p < 0.01). Breeding values were estimated using Bayes A, Bayes B, and Bayes C, with five-fold cross-validation, and the three methods performed comparably overall in this population.
SN - 2076-2615
ER -