Graphic analysis of yield stability in new improved lentil (Lens culinaris Medik.) genotypes using nonparametric statistics

Acta agriculturae Slovenica

Mohtasham MOHAMMADI²  Rahmatollah KARIMIZADEH²  Naser SABAGHNIA¹ 

[1] Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Maragheh, Maragheh, Iran;Dryland Agricultural Research Institute (DARI), Gachsaran, Iran

关键词: lens culinaris;    lentils;    statistical methods;    methods;    genotypes;    environment;    crop yield;    arid zones;    semiarid zones;   

DOI  :  10.14720/aas.2014.103.1.12

学科分类：农业科学（综合）

来源: Univerza v Ljubljani * Biotehniska Fakulteta / University of Ljubljana * Biotechnical Faculty

【 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 × 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 both additive 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 stability values via their plotting, indicates that genotypes G2, G11 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), G11 (Gachsaran) and G14 (ILL 6206) were found to be the most stable 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.

【 授权许可】

Unknown