首页> 外文期刊>Acta Agriculturae Slovenica >Graphic analysis of yield stability in new improved lentil {Lens culinaris Medik.) genotypes using nonparametric statistics
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Graphic analysis of yield stability in new improved lentil {Lens culinaris Medik.) genotypes using nonparametric statistics

机译:使用非参数统计图对改良的新扁豆(Lens culinaris Medik。)基因型的产量稳定性进行图形分析

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摘要

Yield stability is an interesting feature of today's lentil breeding programs, due to the high annual variation in mean yield, particularly in the arid and semi-arid areas. The genetic effects including genetic main and genotype x environment (GE) interaction effects for grain yield of eighteen lentil (Lens culinaris Medik.) genotypes were studied with fourteen nonparametric stability statistics. Results of five distinct nonparametric tests of GE interaction and combined ANOVA showed there were bothadditive and crossover interaction types and genotypes varied significantly for grain yield. According to most of the nonparametric stability statistics, genotypes G5, G6, G8 and G18 were the most stable genotypes. Considering mean yield versus stabilityvalues via their plotting, indicates that genotypes G2, Gil and G14 following to G5, G16 and G18 were the most favorable genotypes. None of the nonparametric stability statistics were correlated with mean yield and so had static concept of stability. Our results confirmed that rankings of genotypes within environments and using mean yield information permit ease of interpretation of nonparametric results. Finally genotypes G2 (FLIP 92-12L), Gl 1 (Gachsaran) and G14 (ILL 6206) were found to be the moststable and high mean yielding genotype and thus recommended for commercial release. Such an outcome could be used to delineate predictive, more rigorous recommendation strategies as well as to help define stability concepts for lentil and other crops.
机译:产量稳定是当今小扁豆育种计划的一个有趣特征,因为平均产量的年均变化很大,特别是在干旱和半干旱地区。利用十四个非参数稳定性统计数据,研究了十八种小扁豆(Lens culinaris Medik。)基因型产量的遗传效应,包括遗传主基因型和基因型×环境(GE)相互作用对籽粒产量的影响。 5种不同的GE交互作用和ANOVA组合的非参数测试结果表明,加性和交叉两种交互作用类型和基因型对于谷物产量均存在显着差异。根据大多数非参数稳定性统计,基因型G5,G6,G8和G18是最稳定的基因型。通过它们的作图考虑平均产量对稳定性值,表明紧随G5,G16和G18的基因型G2,Gil和G14是最有利的基因型。没有任何非参数稳定性统计与平均产量相关,因此没有静态稳定性概念。我们的结果证实,在环境中对基因型进行排名并使用平均产量信息可以轻松解释非参数结果。最后,发现基因型G2(FLIP 92-12L),G11(Gachsaran)和G14(ILL 6206)是最稳定和高平均产量的基因型,因此建议用于商业发行。这样的结果可用于描述预测性,更严格的推荐策略,以及帮助定义小扁豆和其他农作物的稳定性概念。

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