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非参数方法在花生(Arachis hypogaea L.)产量多性状选择中的应用。

Nonparametric approach to multitrait selection for yield in groundnut (Arachis hypogaea L.).

机构信息

Division of Genetics, Indian Agricultural Research Institute, 110012, New Delhi, India.

出版信息

Theor Appl Genet. 1990 Aug;80(2):223-7. doi: 10.1007/BF00224390.

Abstract

Eight characters related to nitrogen fixation and pod development measured 30 days after flowering were evaluated for their correct grading of the relative yield performance of 17 genetically diverse lines of groundnut (Arachis hypogaea L.). Each line was assigned a high or low yield status based on its pod yield, shelling percentage, and 100-kernel weight. Seventeen character combinations were examined for their relative merit in correct identification of the yield status of lines. The character sets, nitrogenase activity alone or in combination with nitrogen percent or shoot weight identified the status of 77% of lines correctly. The extent to which various characters accounted for the variation in pod yield was also checked by multiple regression analysis. While the character combination, nitrogen percent plus leaf area explained 75% of variation in pod yield, nodule mass, nitrogenase activity, and leaf area occurred in some other combinations that explained yield variation to a lesser extent. These analyses point to the profitability of involving crop physiological traits such as leaf area and nitrogen percent in selecting for relative yield performance in groundnut.

摘要

对开花后 30 天的 8 个与固氮和荚果发育相关的性状进行了评估,以评估 17 个具有遗传多样性的落花生(Arachis hypogaea L.)品系的相对产量表现。根据荚果产量、脱壳率和百仁重,为每个品系分配高产或低产状态。检查了 17 个字符组合,以确定它们在正确识别品系产量状态方面的相对价值。氮酶活性单独或与氮百分率或茎重结合的特征集正确识别了 77%的品系的状态。还通过多元回归分析检查了各种性状解释荚果产量变化的程度。虽然氮百分率加叶面积的性状组合解释了 75%的荚果产量变化,但结瘤质量、氮酶活性和叶面积也出现在其他一些解释产量变化程度较小的组合中。这些分析表明,在选择落花生的相对产量表现时,涉及作物生理性状(如叶面积和氮百分率)是有利可图的。

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