Genotype × environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics

Abstract

Lentil (Lens culinaris Medik.) is traditionally grown as a rain fed crop, particularly in the Middle East; its seed is a rich source of protein for human consumption in developing countries such as Iran and others. The stability of 11 different lentil genotypes was investigated using 19 univariate stability parameters. Field experiments were conducted in 20 rain-fed environments in Iran's lentil producing areas to characterize genotype by environment (GE) interactions on seed yield of 11 lentil genotypes. Combined analysis of variance across environments indicated that both environment and GE interactions significantly influenced genotype yield. Several statistical methods and techniques were used to describe the GE interaction and to define stable genotypes in relation to their yield. The results of these different stability methods were variable. However, most showed genotype FLIP 92-12L was stable and genotype Gachsaran was unstable. Genotypes identified as superior differed significantly from local cultivars and can be recommended for use by farmers in semi-arid areas of Iran. Principal component analysis was used to obtain an understanding of relationships among stability techniques. It showed the parameters studied could be grouped in five distinct classes. Clustering of the genotypes indicated that there were two genotypic groups in this group of genotypes.Additional key words: adaptation, multi-environmental trials, regression analysis, variance component. ResumenInteracción genotipo × × ambiente de la producción de grano de genotipos de lenteja y su relación con técnicas estadísticas de estabilidad univariadas La lenteja (Lens culinaris Medik.) se cultiva tradicionalmente en regadío, particularmente en el Oriente Medio, y su semilla es una fuente rica de proteínas para consumo humano en países en desarrollo como Irán y otros muchos. Se investigó la estabilidad de 11 diferentes genotipos de lenteja utilizando 19 parámetros univariados. Para caracterizar la interacción genotipo × ambiente (GE) de la producción de grano de 11 genotipos de lenteja, se realizaron experimentos de campo en 20 ambientes de regadío de las áreas productoras de Irán. Análisis combinados de varianza entre ambientes indicaron que tanto los ambientes como las interacciones GE influyeron significativamente en la producción de los genotipos. Se utilizaron varios métodos estadísticos para describir la interacción GE y definir los genotipos estables respecto a la producción. Los resultados de los diferentes métodos fueron variables, pero la mayoría mostraron que el genotipo FLIP 92-12L es estable y que Gachsaran es inestable. Los genotipos calificados como superiores difirieron significativamente de los cultivares locales y pueden ser recomendados para ser utilizados por los agricultores de las zonas semi-áridas de Irán. Se utilizó un análisis de componentes principales para analizar las relaciones entre las técnicas de estabilidad. El análisis mostró que los parámetros estudiados pueden ser agrupados en cinco clases, y los genot...

Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

“…the ANOVA is not convenient for the description of GE interactions, and the other statistical procedures are necessary to understand and describe GE interactions. Almost all breeders have used the term ''stability'' to characterize a genotype which ever indicated a constant yield under variable environmental conditions (Dehghani et al 2008). This suggestion of stability concurs with the concept of homeostasis broadly used in quantitative genetics, and might be considered as a biological (static) concept of stability (Becker and Leon 1988).…”

“…Hanson's (1970) genotypic stability parameter (Di 2 ) is derived from regression analysis, since it uses the minimum slope from the Finlay and Wilkinson (1963) method. Hernandez's (1993) proposed a desirability index (DI) that would combine both yield and regression coefficient (Dehghani et al 2008). Geometric Adaptability Index (GAI) (Mohammadi and Amri 2008) is used to evaluate the adaptability of genotypes and it is calculated as follows: Where, X 1:; X 2: and X i: are the mean yields of the first, second and ith genotypes across all environments and E is the number of environments (E: location)year).…”

“…These two stability parameters are very similar to the regression coefficient and the deviation from regression of Eberhart and Russell, but are attained by a method that is a continuance of the analysis of variance. They are obtained using the principle of structural relationships (Dehghani et al 2008). Pinthus (1973) (R 2 ) proposed that the ability of the linear regression model for definition of the observed variation could be characterized using coefficients of determination which are computed by an individual linear regression analysis ).…”

Mediciones no paramétricas corregidas y sin corregir en ensayos multiambientales de estabilidad con trigo duro

“…According to other works by Yan & Kang (2003) and Dehghani et al (2008), environment explains most of the total yield variation, while genotype and GE interaction sources are usually representative of smaller variation. However, variation due to environment cannot be used for genotype evaluation and a plant breeder needs to use both genotype effect and GE interaction sources in analysis of multi-environmental trials.…”

Comparison and suitability of genotype by environment analysis methods for yield-related traits of pearl millet

“…The inconsistency in ranking was also reported by Alberts (2004) and Khosa (2012) when cultivar superiority, Finlay and Wilkinson, Wricke's ecovalence and ASVi were compared in maize. In addition, Dehghani et al (2008) also observed variation in ranking Lentil genotypes, although they observed similarity between Shukla and Wricke's, cultivar superiority and Wricke's ecovalence, Finlay and Wilkinson and cultivar superiority. However, in the present study the methods had no significant correlation.…”