摘要
基于自然群体随机交配,应用LASSO算法进行多iQTL定位,带有坐标下降的LASSO方法能够将无关变量压缩并使之趋于零.对模拟产生的自然群体和水稻自然群体数据进行模拟研究,结果表明应用LASSO算法进行多iQTL定位,能够高效、准确地定位到iQTL的位置,并且对各种遗传效应能进行较精确的估计.
For random mating design in natural population, LASSO algorithm with coordinate descent method can compress independent vector to zero when mapping multiple QTLs. In this study, stimulated and natural rice population were both analyzed. The results proved that LASSO can not only efficiently locate iQTLs but also estimate corresponding genetic effects accurately.
作者
黎哲镇
郑珂辉
周富杰
叶景山
温永仙
LI Zhezhen;ZHENG Kehui;ZHOU Fujie;YE Jingshan;WEN Yongxian(College of Computer and Information Sciences;College of Life Sciences,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China)
出处
《福建农林大学学报(自然科学版)》
CSCD
北大核心
2020年第3期418-424,共7页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
国家自然科学基金资助项目(31571558)
福建省自然科学基金资助项目(2017J01606).