dominance effect meaning in English
显性效应
Examples
- The methods proposed by wang et al ( 1999 ) could analyze additive effects , additive by additive epistatic effects and their interaction with environments , but could not estimate dominance effects and epistatic effects related to dominance
Wang等( 1999 )的方法能够分析加性效应、加加上位性效应及共与环境的互作效应，但无法估计显性以及与显性有关的上位性效应。 - Genetic models were constructed for qtl mapping by two - dimensional searching . corresponding analysis methods were also proposed , which could estimate additive effects , dominance effects , epistatic effects of additive by additive , additive by dominance , dominance by additive , dominance by dominance , and could predict their interaction effects with environments
构建了可以估汁加性效应、显性效应、加加、加显、显加、显显上位性效应以及预测这些效应与环境互作效应的qtl定位两维搜索遗传模型，提出了相应的分析方法。 - It was shown that in short - season cotton , the seven traits relating to early maturity all presented dominating additive effect while displaying dominance effects , and epistatic effects from sowing to budding , from sowing to flowering and from budding to flowering ; the early maturity traits significantly interacted with the environments
结果表明：短季棉7个早熟相关性状的遗传均以加性效应为主，同时存在着显性效应，对于播种现蕾、播种开花和现蕾开花还存在着上位性效应；短季棉各早熟性状的遗传效应与环境互作显著。 - The estimation of additive and dominance effects through qtl analysis by one - dimensional search while ignoring epistases showed similar accuracy to that by two - dimensional search by including epistases . existence of epistases could decrease the precision for the estimation of additive and dominance effects . the estimation of genetic main effects would be biased if ignoring the interaction effects of qtl x environment ( qe )
忽略上位性效应的一维搜索qtl分析对加性效应和显性效应的估计精度与包括上位性的两维搜索qtl分析对这两种效应的估计精度相差不大，上位性的存在可能会降低对这两种效应估计的精度；忽略qtl环境( qe )互作效应会导致对遗传主效应的有偏估计，而包括qe互作效应的多环境联合分析能够提高对遗传主效应的估计精度。 - Monte carlo simulations were conducted to study the new approaches of qtl mapping , the results indicated that general least squares ( gls ) method , which was widely applied in mixed linear model , could unbiasedly estimate all genetic main effects , including additive effects , dominance effects and epistatic effects of additive by additive , additive by dominance , dominance by additive , dominance by dominance . the interaction effects between genetic main effects and environments could also be predicted unbiasedly by linear unbiased prediction ( lup ) . the heterosis prediction based on qtl effects was also unbiased
对新提出的qtl分析方法进行了montecarlo模拟研究，结果表明，广泛应用于混合线性模型的广义最小二乘法( gls )能够无偏估计加性效应，显性效应以及加加、加显、显加、显显上位性效应等各项遗传主效应；运用线性无偏预测法( lup )能够无偏预测上述各项遗传主效应与环境的互作效应；基于qtl效应的杂种优势预测也是无偏的。