摘要
以 7个自选系、7个外引系、外杂选系和按NCⅡ组配的 49个杂种F1 组合为研究材料。对差异显著的 7个株型性状应用混合线性模型、配合力两种分析方法对遗传方差和遗传力进行了比较分析。结果表明 :混合模型分析雄穗长揭示了显著的显性效应和不显著的加加上位性与加性效应 ,雄穗分枝数与其干重揭示了极显著的显性效应与加性效应 ,其余性状揭示了极显著的显性效应与加加上位性效应 ;配合力分析是在加—显遗传模型基础上进行的 ,只能揭示加性和显性效应。两种分析方法所得各遗传方差分量都存在显著差异 ,其差异因性状而异。分析表明 ,这些差异可能是由于不同方法对剩余方差分量和加性遗传方差分量估算不同而引起的。广义遗传率差异大小是基因型与环境的互作而引起的 ;狭义遗传率差异一部分是基因与环境的互作 ,另一部分却是两种方法所估算的加性 (加加上位性 )遗传方差不同而引起的。
Fourteen maize inbred lines and forty nine crosses mated by NCⅡdesign were used in the experiment. The genetic effects for seven characters were analyzed with mixed linear model analysis and combining ability analysis. The results showed that the mixed linear model analysis indicated: As for length of tassel, there are dominant and additive and A A epistatic genetic effect, only dominant genetic effect is significant at 0.05 level probability. As for plant height, ear height, width of leaf and length of leaf, there are dominant and A A epistatic genetic effect, and all are significant at 0.01 level probability. As for number of tassel and weight of tassel, there are additive and dominant genetic effect, and all are significant at 0.01 level probability. But combining ability analysis is based on additive dominant model. It reveals that some traits just have additive effect and dominant effect. The differences of genetic variance proportion between mixed model analysis and combining ability analysis are significant. It is suggested by combining ability analysis that the differences of genetic variance component are mainly caused by less estimating genotype-environment interaction, and by more estimating additive effect. The difference of heritability in the broad sense is caused by genotype environment interaction. The difference of heretability in the narrow sense is caused by genotype environment interaction and additive effect/A A effect estimated by the two different methods.
出处
《杂粮作物》
CAS
2002年第3期125-128,共4页
Rain Fed Crops
