Simultaneous selection for high yield and stability in common bean (<i>Phaseolus vulgaris</i>) genotypes

Mekbib, Firew

doi:10.1017/s0021859602001946

Cited by 68 publications

(78 citation statements)

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“…Even though the correlation coefficient is not significant and strong, grain yield had negative relationship with the coefficient of regression (r = -0.38). This result disagrees with the previous results of Piepho and Lotito (1992), Mekbib (2003) and Akcura et al (2006) who reported a positive and significant rank correlation between grain yield and coefficient of regression. Mean grain yield had also a non-significant negative rank correlation with the Francis and Kannenberg's environmental variance.…”

Section: Association Among Stability Measurescontrasting

confidence: 99%

“…This result supports the findings of Piepho and Lotito (1992) who reported a negative rank correlation of bi with most of the stability measures on sugar beet. However, it disagrees with the results of Mekbib (2003). The significant negative rank correlation between regression coefficient (b i ) and coefficient of determination (r i 2 ) indicated that the genotypes that were highly responsive to high yielding environments were less responsive to low yielding environments and vices versa.…”

Section: Association Among Stability Measuresmentioning

confidence: 58%

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Association of statistical methods used to explore genotype environment interaction (GEI) and cultivar stability

Tadege¹,

Utta²,

Aga³

2014

Afr. J. Agric. Res.

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This study aims to acquaint breeders of the need to use statistical tools that will help resolve the identification of consistently better performing genotypes across various environmental conditions. It also aim to reveal the relationship among the various statistical methods used to describe genotype × environment interaction (GEI) and cultivar stability. A mixed model with fixed genotypes and random environments were used for the analysis of variance (ANOVA). In the present study, twenty released bread wheat cultivars were evaluated during the 2009 main cropping season using a randomized complete block design (RCBD) with three replications at seven different environments. The combined ANOVA revealed the presence of a highly significant GEI (p < 0.01) for grain yield indicating its influence on cultivar selection and recommendation. Spearman's rank correlation coefficient revealed a perfect correspondence between Wricke's ecovalence (W i ) and Shukla's statbility variance ( 2 ). These stability measures also showed a highly significant positive rank correlation with deviation from regression (S 2 di ), coefficient of determination( r i 2 ), AMMI stability value (ASV), variance of ranks (S i (2) ), rank sum (R-sum), and mean absolute rank difference (S i (1) ) indicating their similarity in cultivar ranking. The principal component analysis (PCA) clearly showed three groupings of the statistical methods as the static concept of stability, the dynamic concept of stability and yield performance measures. Therefore, it is imperative to consider one stability measure from the dynamic concept and one from the yield performance measures for efficient cultivar recommendation.

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Section: Association Among Stability Measurescontrasting

confidence: 99%

Section: Association Among Stability Measuresmentioning

confidence: 58%

Association of statistical methods used to explore genotype environment interaction (GEI) and cultivar stability

Tadege¹,

Utta²,

Aga³

2014

Afr. J. Agric. Res.

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“…This evidences the weakness of the results obtained by the Traditional method. Mekbib (2002), studying the common beans yield stability in Africa, recommended the use of methods of Lin & Bins (1988) and Wricke (1962) modified by the ranking and disencouraged the use of the Traditional method (Yates & Cochran, 1938), in agreement with Aremu et al (2007) who worked with cowpea (Vigna unguiculata L.) also in Africa.…”

Section: Resultsmentioning

confidence: 67%

Stability of F7:8 snap bean progenies in the Northern and Northwestern regions of Rio de Janeiro State

Vilela¹,

Júnior²,

Gonçalves³

et al. 2011

Hortic. Bras.

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The objective of this experiment was to assess the genotypes by environment interaction for eight morphoagronomic traits in thirty F7:8 snap bean superior lines and evaluate the pod yield stability. The experiments were carried out in the cities of Bom Jesus do Itabapoana, Campos dos Goytacazes and Itaocara, located in the Northern and Northwestern regions of Rio de Janeiro State, Brazil. Experiments were designed in randomized blocks with two replications, using the traditional method (Yates & Cochran, 1938) and the methods proposed by Plaisted & Peterson (1959), Wricke (1965), Kang & Phan (1991) and Lin & Binns (1988), as well. Only the average fiber content in pods revealed no significant genotype x environment interaction, whereas most of the traits showed simple interaction, including pod yield. The results obtained using the methods of Plaisted & Peterson (1959) and Wricke (1965) agreed to a far extent and had a moderate estimate (0.6131) in relation to the traditional method. Both methods highlighted genotypes with pod yield close to the general average, i.e., around 7,546.46 kg ha-1. Kang & Phan's (1991) algorithm was more efficient in optimizing the stability estimates obtained using the methods of Plaisted & Peterson (1959) and Wricke (1965) than the traditional method. Lin & Binns' (1988) procedure revealed the most stable, responsive and productive progenies. Progenies 04, 03 and 10 stood out in all environments.

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“…Accordingly, genotypes 11, 12 and 14 had Type-1 stability. Genotypes 2, 3, and 5 had the highest Type-2 stability; while genotypes 6 and 15 had the Weber and Wricke (1990), Helms (1993), Sneller et al (1997), andMekbib (2003). This was probably due to the fact that five of the eight environments were considered unfavourable and thus causing poor response of the genotypes.…”

Section: Resultsmentioning

confidence: 98%

Assessment of yield stability in sorghum

Adugna¹

2010

African Crop Science Journal

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Sorghum (Sorghum bicolor L. (Moench)) is the third major cereal crop in Ethiopia in terms of area and production next to tef (Eragrostis tef) and maize (Zea mays). It is the major crop in drought stressed lowland areas that cover 66% of the total arable land in the country. Yield stability is one of the setbacks facing plant breeders in developing widely adapted varieties with superior yield. The present study was carried out to investigate the effect of genotype by environment (GxE) on the yield stability of sorghum (Sorghum bicolor) using fifteen genotypes in eight environments (Locations x years combination). There were significant differences among the genotypes, the environments and GxE interactions. Thus, the three types of univariate stability models: Type-1 (CV i and S had strong rank correlation (r=0.97) but both had either very weak or no rank correlation with the rest of the parameters tested. The Sd 2 i had very weak negative correlation with the remaining parameters. Based on the three stability statistics, the different genotypes were classified as stable. To compliment and verify findings of this univariate approach, the GxE which uses a mulivariate approach was used. The multivariate approach (AMMI model) gives a broader inference. Based on the AMMI model, genotypes 2 and 5 were the most stable, although genotypes 1 and 3 had satisfactory levels of yield performance as well as stability. Therefore, these four genotypes with wider adaptation are recommended for sorghum growing dry lowlands of the country.Key Words: AMMI model, Ethiopia, GxE, hybrids, Sorghum bicolor RÉSUMÉLe Sorgho (Sorghum bicolor L. (Moench)) représente la 3 e principale céréale en Ethiopie, en termes de superficie de production, après le Tef (Eragrostis tef) et le maïs (Zea mays). Il est par ailleurs la culture majeure dans les zones de stress due à la sécheresse au sein des basses terres couvrant 66% de la superficie arable totale du pays. La stabilité du rendement constitue l'une des difficultés que rencontrent les agriculteurs dans le développement de variétés largement adaptées et présentant un rendement supérieur. La présente étude était menée dans le but d'établir par investigations l'effet du genotype et de l'environnement (GXE) sur la stabilité du rendement du sorgho (Sorghum bicolor) par l'utilisation de 15 génotypes au sein de huit environnements (sites x combinaisonannées). Il y avait des différences significatives parmi les génotypes, les environnements ainsi que les interactions GXE. Par conséquent, produisant les 3 types de modèles de stabilité à variable unique: Type -1 (CV i et S avait une corrélation négative très faible avec les autres paramètres restants. Se basant sur les 3 statistiques de stabilité; les différents génotypes étaient classifiés comme stables. En vue de pouvoir compléter et vérifier les résultants par cette approche à variable unique, le GXE qui utilise une approche à multi variants a été utilisé. Cette dernière approche (AMMI Model) donne une large ASFAW ADUGNA 84 déduction. Se basant...

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Simultaneous selection for high yield and stability in common bean (Phaseolus vulgaris) genotypes

Cited by 68 publications

References 0 publications

Association of statistical methods used to explore genotype environment interaction (GEI) and cultivar stability

Association of statistical methods used to explore genotype environment interaction (GEI) and cultivar stability

Stability of F7:8 snap bean progenies in the Northern and Northwestern regions of Rio de Janeiro State

Assessment of yield stability in sorghum

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