scholarly journals Strategies in identifying individuals in a segregant population of common bean and implications of genotype x environment interaction in the success of selection

2012 ◽  
Vol 11 (2) ◽  
pp. 872-880 ◽  
Author(s):  
M.P. Mendes ◽  
M.A.P. Ramalho ◽  
A.F.B. Abreu
Keyword(s):  
Common Bean ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment

scholarly journals Technological quality of common bean grains obtained in different growing seasons

Bragantia ◽  
2014 ◽  
Vol 73 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Eliana Francischinelli Perina ◽  
Cássia Regina Limonta Carvalho ◽  
Alisson Fernando Chiorato ◽  
Rodrigo Lorencetti Tunes Lopes ◽  
João Guilherme Ribeiro Gonçalves ◽  
...  
Keyword(s):  
Common Bean ◽  
Winter Season ◽  
Cooking Time ◽  
Genotype X Environment Interaction ◽  
Soluble Solids ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Growing Seasons ◽  
Technological Quality

The traits that provide technological quality to common bean grains exhibit genetic and environmental variation and variation in the genotype x environment interaction. In this context, the aim of this study was to assess the effect of different periods of the growing season on the technological quality of common bean grains. The experiment was conducted with 25 bean genotypes (carioca [beige with brown stripes] and black commercial group) that are part of the Value for Cultivation and Use (Valor de Cultivo e Uso - VCU) trials in three growing seasons, namely, the 2009/2010 rainy season, the 2010/2011 dry season and the 2010/2011 winter season, in a randomized block experimental design with three replications in which the following items were assessed: cooking time (CT), water absorption capacity before cooking (Peanc) and after cooking (Peapc), percentage of whole grains (PWG), total soluble solids in the broth (TSSb), volume expansion before cooking (EXPVbc) and after cooking (EXPVac), and dry grain density (DD), grain density after maceration (SD) and grain density after cooking (CD). Assessments showed that the different growing seasons for obtaining grains for the purpose of analysis of technological quality have an effect on the results and on differentiation among genotypes, indicating genotype x environment interaction. They also showed that the genotypes C2-1-6-1, C4-8-1-1, LP04-03, IAC-Imperador, P5-4-4-1 and Pr11-6-4-1-2 had the best results in relation to cooking time in the mean values of the three growing seasons. The use of early selection based on phenotypic correlations that exist among the technological features is not expressive, due to the variation of magnitude among the different growing seasons.

scholarly journals Genotype x environment interaction effects on the iron content of common bean grains

2003 ◽  
Vol 3 (4) ◽  
pp. 269-274 ◽  
Author(s):  
R. Araújo ◽  
É. Miglioranza ◽  
R. Montalvan ◽  
D. Destro ◽  
M.C. Gonçalves-Vidigal ◽  
...  
Keyword(s):  
Common Bean ◽  
Iron Content ◽  
Interaction Effects ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment

scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

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