遗传力
遗传相关
生物
重复性
限制最大似然
遗传变异
统计
遗传学
数学
最大似然
基因
作者
Aruna Pal,A. K. Chakravarty
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2020-01-01
卷期号:: 245-258
被引量:2
标识
DOI:10.1016/b978-0-12-816406-8.00017-6
摘要
Any successful genetic improvement program depends on the genetic parameters of heritability, genetic correlation, and repeatability. Heritability gives an indication for the variance of inheritance that is transmitted from one generation to the next. Heritability is usually low for disease-resistance traits, but indicator traits with high genetic correlation with disease traits have better heritability, which leads to better genetic gain. Somatic cell score for mastitis and fecal egg count for helminthiasis have high heritability with high genetic correlation with the disease trait and are effective for genetic improvement for respective traits. Different methods for heritability estimation have been discussed as offspring–parent regression, sib analysis, general linear model, and REML. The importance of estimated breeding value and repeatability are discussed. Examples with ketosis, mastitis, breech strike, and helminthiasis are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI