检测控制奶牛动态性状的QTL方法研究——基于B样条插值函数
Model for Detecting QTL Controlling for Dynamic Trait Based on B-Spline Function
摘要: 随着时间(生命时期、年龄、胎次等)或其他可以量化的因素(生理状态、生产水平、代谢率和环境条件等) 变化的性状,称为动态性状,如身高、体重、胸围、产奶量等等。由于动态性状在育种和生产中特殊的经济地位,揭示这类性状遗传及其改良提高的研究工作尤显重要。体型性状的选择有利于奶牛整体健康和产奶性状的提高。本文基于B样条插值函数,建立检测调控动态性状基因位点的随机回归模型,实际数据分析表明模型的合理性和适应性。
Abstract:
Dynamic traits are those phenotypic values change with time and other quantifiable factors such as age, parities, physiological status, performance level and environment etc. Because of the special economic status of the dynamic traits in breeding and production, it is very important to reveal the genetic regularity and improvement of these traits. The choice of body shape is beneficial to the improvement of the whole health and milk production of dairy cows. On the basis of B- spline function, a random regression model (RRM) has been developed to detect the QTLs controlling the dynamic traits. A real dataset for China Holstein cows, which contains the records of body weight from the local dairy farm, was analyzed and the biological conclusions were derived.
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