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

Abstract

This study was done to evaluate yield stability of 20 improved durum wheat genotypes (G1 to G20). Tests were done in a randomized complete block design with 4 replications for 3 years at 5 sites in multi-environment trials. Data were analyzed with the five nonparametric stability measurements of Thennarasu (NP) according to ranks of corrected and uncorrected procedures. Results for the combined analysis of variance for environment (E), genotype (G) and GE interaction was significant, suggesting different responses of the various genotypes in the study and the requirement of yield stability analysis. In this study, low values determined by uncorrected NPs (UNP2, UNP3, and UNP4) were associated with high mean yield, but other nonparametric stability measurements were not positively correlated with mean yield and were thus characterized as having a static concept of stability. Although, according to both corrected and uncorrected stability parameters, genotypes G7, G8, G13 and G14 were stable but only G7 flowing to G8 had high mean yields. Results of the factor analysis, Spearman's rank correlation and the bootstrap resampling procedure of the nonparametric stability measurements and mean yield indicated that using ranks of uncorrected data would be useful for simultaneous selection for both mean high yield and stability. In conclusion, according to results of these different nonparametric stability measurements, genotype G7 is recommended for commercial release as a favorable durum wheat genotype for the environmental conditions in Iran.Additional key words: Thennarasu's nonparametric measurements; yield stability. ResumenMediciones no paramétricas corregidas y sin corregir en ensayos multiambientales de estabilidad con trigo duro Se estudió la estabilidad del rendimiento de 20 genotipos mejorados (G1-G20) de trigo duro en un diseño en bloques completos al azar con 4 repeticiones de 3 años en 5 ambientes diferentes. Los datos fueron analizados con las cinco medidas de estabilidad no paramétricas de Thennarasu (NP), de acuerdo a los rangos de los procedimientos corregidos y sin corregir. El análisis de varianza combinado para los ambientes (E), los genotipos (G) y la interacción GE fue significativo, lo que sugiere una respuesta diferencial de los genotipos y la necesidad de analizar el rendimiento de la estabilidad. En este estudio, se asociaron valores bajos de NP no corregidos (UNP2, UNP3 y UNP4) con un elevado rendimiento medio, pero las otras medidas no paramétricas de estabilidad no se correlacionaron positivamente con el rendimiento medio y se consideraron como concepto estático de estabilidad. Sin embargo, de acuerdo con los parámetros de estabilidad, tanto corregidos como sin corregir, los genotipos G7, G8, G13 y G14 se mantuvieron estables, pero solamente G7 y G8 tuvieron un elevado rendimiento medio. Los resultados del análisis factorial, de la correlación de Spearman y del procedimiento bootstrap de nuevo muestreo de las mediciones de estabilidad no paramétricas y la media de rendimiento, indica...

G × E interaction estimation for forage yield of dual purpose barley by Nonparametric measures

“…Positive S is had good potential for selecting the stable high yielding genotypes. Sabaghnia et al,(2012) reported similar results for S i 3 and S i 6 measures. Dehghani(2008) reviewed nonparametric statistics and their statistical properties were determined as agronomical concepts for stability.…”

“…More stable genotypes according to Huehn's (1996) nonparametric measures of stability from calculations based on uncorrected values demonstrated high mean yield. In other words, with maintenance of genotype effect in each cell of two-way data, mean yield confounds GEI and affects stability analysis (Sabaghnia et al 2012). Nonparametric measures based on corrected forage yield values identified BH1010 & RD2552 as the stable genotypes at the same times UPB1054 & KB1420 unstable genotypes (Table 3).…”

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

“…Besides being robust to violations of statistical assumptions regarding the dataset distribution, and insensitive to outliers, nonparametric rank-based procedures are of value for elucidating meaningful ways that environments differentially affect the seed yield (Huehn, 1996;Sabaghnia et al, 2012). Using rankbased procedures for GE interaction study and yield stability analysis, there were not consistent rankings of genotypes across environments, and environment affected the rank order of lentil genotypes.…”

Identification of the most stable genotypes in multi-environment trials by using nonparametric methods

“…The good ability of the nonparametric stability statistics for detecting the most stable genotypes as well as GE interaction investigation have been demonstrated in different crops such as lentil (Sabaghnia et al, 2006;Karimizadeh et al, 2012), chickpea (Ebadi-segherloo et al, 2008) and durum wheat (Sabaghnia et al, 2012b). The objective of this study was estimation of stability performance of genotypes in different test environments using two nonparametric stability statistics which are based upon the ranks of the genotypes in each environment.…”