CAJ | 학술논문

提出了能分析二倍体植株数量性状核质互作效应的遗传模型,该模型把控制数量性状总的遗传效应分为核效应、质效应和核质互作效应,以及它们分别与环境作用的效应.其中,核质互作效应可进一步分解为加性核质互作与显性核质互作.基于平衡与非平衡两种双列杂交试验设计,蒙特卡罗模拟结果表明:采用混合线性模型方法进行统计分析,可以有效地估计各项遗传效应值及其方差分量.此外,运用该模型对棉花的4个数量性状(单株铃数、衣分、2.5%跨长和麦克隆值)进行了遗传分析.
제출료능분석이배체식주수량성상핵질호작효응적유전모형,해모형파공제수량성상총적유전효응분위핵효응、질효응화핵질호작효응,이급타문분별여배경작용적효응.기중,핵질호작효응가진일보분해위가성핵질호작여현성핵질호작.기우평형여비평형량충쌍렬잡교시험설계,몽특잡라모의결과표명:채용혼합선성모형방법진행통계분석,가이유효지고계각항유전효응치급기방차분량.차외,운용해모형대면화적4개수량성상(단주령수、의분、2.5%과장화맥극륭치)진행료유전분석.
A genetic model was proposed for simultaneously analyzing genetic effects of nuclear, cytoplasm, and nuclear-cytoplasmic interaction (NCI) as well as their genotype by environment (GE) interaction for quantitative traits of diploid plants. In the model, the NCI effects were further partitioned into additive and dominance nuclear-cytoplasmic interaction components. Mixed linear model approaches were used for statistical analysis. On the basis of diallel cross designs, Monte Carlo simulations showed that the genetic model was robust for estimating variance components under several situations without specific effects.Random genetic effects were predicted by an adjusted unbiased prediction (AUP) method. Data on four quantitative traits (boll number, lint percentage, fiber length, and micronaire) in Upland cotton (Gossypium hirsutum L.) were analyzed as a worked example to show the effectiveness of the model.