Genotype-environment interaction effects on reproductive performance in Tribolium castaneum

1981 ◽  
Vol 59 (2) ◽  
pp. 123-128 ◽  
Author(s):  
K. Benyi ◽  
G. A. E. Gall
Keyword(s):  
Tribolium Castaneum ◽  
Reproductive Performance ◽  
Interaction Effects ◽  
Environment Interaction ◽  
Genotype Environment Interaction

Genotype–environment interaction of lovegrass forage yield in the semi-arid region of Argentina

2001 ◽  
Vol 137 (3) ◽  
pp. 329-336 ◽  
Author(s):  
M. A. IBAÑEZ ◽  
M. A. DI RENZO ◽  
S. S. SAMAME ◽  
N. C. BONAMICO ◽  
M. M. POVERENE
Keyword(s):  
Regression Analysis ◽  
Arid Region ◽  
Interaction Effects ◽  
Sum Of Squares ◽  
Forage Yield ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Ammi Model ◽  
Semi Arid Region ◽  
Semi Arid

Genotype–environment interaction and yield stability were evaluated for 19 genotypes of lovegrass (Eragrostis curvula). The study was conducted in the central semi-arid region of Argentina. Three locations and two growing seasons in combination generated six environments. Genotypic responses and stability of yield under variable environments were investigated. The genotype–environment interaction was analysed by three methods: regression analysis, AMMI and principal coordinates analysis (PCO). Analysis of variance showed that effects of genotype, environment and genotype–environment interaction were highly significant (P < 0·01). The genotypes accounted for 20% of the treatment sum of squares, with environment responsible for 65% and interaction for 14·5%. The biplot indicated that there was partial agreement between the AMMI and regression model. However the scatter point diagrams obtained from PCO analysis revealed only limited agreement with the results obtained by the regression analysis and the AMMI model. The results show that the AMMI model as a whole explained twice as much of the interaction sum of squares as did regression analysis and was more adequate than PCO analysis in quantifying environment and genotype effects for forage yield. AMMI analysis of the genotype–environment interaction effects showed that there were responses characteristic of a particular location. This type of association implies some predictability of genotype–environment interaction effects on forage yield production when differential responses across genotypes are associated with locations. Environmental factors may contribute to the interpretations of genotype–environment interaction. However in the semi-arid region, where fluctuations in growing conditions are unpredictable, additional research is required to obtain an integration of interaction analysis with external environmental (or genotypic) variables.

Testing Wheat in Variable Environments: Genotype, Environment, Interaction Effects, and Grouping Test Locations

Crop Science ◽  
2008 ◽  
Vol 48 (1) ◽  
pp. 317-330 ◽  
Author(s):  
Kraig L. Roozeboom ◽  
William T. Schapaugh ◽  
Mitchell R. Tuinstra ◽  
Richard L. Vanderlip ◽  
George A. Milliken
Keyword(s):  
Interaction Effects ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Variable Environments
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