Yue Shi, Yan Liu, Yunpeng Qi, Youjun Rong, Xiaofang Ao, Mingzhu Zhang, Qincheng Xia, Yanjun Zhang, Ruijun Wang
{"title":"内蒙古二郎山型白绒山羊生长性状遗传参数的估计","authors":"Yue Shi, Yan Liu, Yunpeng Qi, Youjun Rong, Xiaofang Ao, Mingzhu Zhang, Qincheng Xia, Yanjun Zhang, Ruijun Wang","doi":"10.3390/ani15111652","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to estimate the variance, heritability, and genetic correlation of growth traits in Inner Mongolia white cashmere goats (Erlangshan type) (IMWCG-ER). Data collected from the Erlang Mountain Ranch in 2022-2023 were analyzed. The traits studied included birth weight (BW), weaning weight (WW), pre-weaning daily gain (ADG), and the 12-month weight (12W). In animal models, single and multi-trait analyses were performed using the restricted maximum likelihood (REML) method to estimate genetic parameters, and six different models were fitted for each trait by ignoring or including maternal permanent environmental effects, maternal additive genetic effects, and the interaction with individual additive genetic effects. The accuracy and suitability of each model were tested using the likelihood ratio and AIC and BIC tests. The heritability estimates of birth weight, weaning weight, daily gain before weaning, and the 12-month weight were 0.3884, 0.2951, 0.2749, and 0.2192, respectively. The absolute value of the genetic correlation coefficient between traits ranged from -0.8700 to 0.5529. The highest genetic association was between birth weight and pre-weaning daily gain (-0.8700), followed by birth weight and the 12-month weight (-0.6256). The absolute value of phenotypic correlation coefficients ranged from -0.7906 to 0.3562. The highest phenotypic correlation was between birth weight and daily gain before weaning, and the correlation coefficient was -0.7906.</p>","PeriodicalId":7955,"journal":{"name":"Animals","volume":"15 11","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12153933/pdf/","citationCount":"0","resultStr":"{\"title\":\"Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type).\",\"authors\":\"Yue Shi, Yan Liu, Yunpeng Qi, Youjun Rong, Xiaofang Ao, Mingzhu Zhang, Qincheng Xia, Yanjun Zhang, Ruijun Wang\",\"doi\":\"10.3390/ani15111652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to estimate the variance, heritability, and genetic correlation of growth traits in Inner Mongolia white cashmere goats (Erlangshan type) (IMWCG-ER). Data collected from the Erlang Mountain Ranch in 2022-2023 were analyzed. The traits studied included birth weight (BW), weaning weight (WW), pre-weaning daily gain (ADG), and the 12-month weight (12W). In animal models, single and multi-trait analyses were performed using the restricted maximum likelihood (REML) method to estimate genetic parameters, and six different models were fitted for each trait by ignoring or including maternal permanent environmental effects, maternal additive genetic effects, and the interaction with individual additive genetic effects. The accuracy and suitability of each model were tested using the likelihood ratio and AIC and BIC tests. The heritability estimates of birth weight, weaning weight, daily gain before weaning, and the 12-month weight were 0.3884, 0.2951, 0.2749, and 0.2192, respectively. The absolute value of the genetic correlation coefficient between traits ranged from -0.8700 to 0.5529. The highest genetic association was between birth weight and pre-weaning daily gain (-0.8700), followed by birth weight and the 12-month weight (-0.6256). The absolute value of phenotypic correlation coefficients ranged from -0.7906 to 0.3562. 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Estimation of Genetic Parameters of Growth Traits in the Inner Mongolia White Cashmere Goat (Erlangshan Type).
This study aimed to estimate the variance, heritability, and genetic correlation of growth traits in Inner Mongolia white cashmere goats (Erlangshan type) (IMWCG-ER). Data collected from the Erlang Mountain Ranch in 2022-2023 were analyzed. The traits studied included birth weight (BW), weaning weight (WW), pre-weaning daily gain (ADG), and the 12-month weight (12W). In animal models, single and multi-trait analyses were performed using the restricted maximum likelihood (REML) method to estimate genetic parameters, and six different models were fitted for each trait by ignoring or including maternal permanent environmental effects, maternal additive genetic effects, and the interaction with individual additive genetic effects. The accuracy and suitability of each model were tested using the likelihood ratio and AIC and BIC tests. The heritability estimates of birth weight, weaning weight, daily gain before weaning, and the 12-month weight were 0.3884, 0.2951, 0.2749, and 0.2192, respectively. The absolute value of the genetic correlation coefficient between traits ranged from -0.8700 to 0.5529. The highest genetic association was between birth weight and pre-weaning daily gain (-0.8700), followed by birth weight and the 12-month weight (-0.6256). The absolute value of phenotypic correlation coefficients ranged from -0.7906 to 0.3562. The highest phenotypic correlation was between birth weight and daily gain before weaning, and the correlation coefficient was -0.7906.
AnimalsAgricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.90
自引率
16.70%
发文量
3015
审稿时长
20.52 days
期刊介绍:
Animals (ISSN 2076-2615) is an international and interdisciplinary scholarly open access journal. It publishes original research articles, reviews, communications, and short notes that are relevant to any field of study that involves animals, including zoology, ethnozoology, animal science, animal ethics and animal welfare. However, preference will be given to those articles that provide an understanding of animals within a larger context (i.e., the animals'' interactions with the outside world, including humans). There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental details and/or method of study, must be provided for research articles. Articles submitted that involve subjecting animals to unnecessary pain or suffering will not be accepted, and all articles must be submitted with the necessary ethical approval (please refer to the Ethical Guidelines for more information).