Program for investigating genotype-environment interaction
This program was written to investigate genotype-environment (GE) interaction in two-way classification data. The analysis consists of three parts: (i) stability analysis of genotypes based on a regression or an ANOVA model, (ii) estimation and plotting of residuals, and (iii) cluster analysis for dissecting the data set into homogeneous subsets. These analysis provide diagnostic information to assess genotypic response characteristics and enable a scientist to group the genotypes in such a way that the genotypes within each subset display no GE interactions. It is hoped that by dissecting the data into homogeneous subsets the interaction structure of the data can be revealed. The program can handle five methods depending on whether a regression (linear or quadratic) or an ANOVA model is used, and whether grouping is done with respect to the similarity of GE interaction alone or the genetic effect and GE interaction combined
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KOHA-OAI-BVE:441462020-01-23T20:21:09ZProgram for investigating genotype-environment interaction 86795 Lin, C.S. 52261 Butler, G. 75696 Hall, I. 98622 Nault, C. Ene-Feb 1992This program was written to investigate genotype-environment (GE) interaction in two-way classification data. The analysis consists of three parts: (i) stability analysis of genotypes based on a regression or an ANOVA model, (ii) estimation and plotting of residuals, and (iii) cluster analysis for dissecting the data set into homogeneous subsets. These analysis provide diagnostic information to assess genotypic response characteristics and enable a scientist to group the genotypes in such a way that the genotypes within each subset display no GE interactions. It is hoped that by dissecting the data into homogeneous subsets the interaction structure of the data can be revealed. The program can handle five methods depending on whether a regression (linear or quadratic) or an ANOVA model is used, and whether grouping is done with respect to the similarity of GE interaction alone or the genetic effect and GE interaction combinedThis program was written to investigate genotype-environment (GE) interaction in two-way classification data. The analysis consists of three parts: (i) stability analysis of genotypes based on a regression or an ANOVA model, (ii) estimation and plotting of residuals, and (iii) cluster analysis for dissecting the data set into homogeneous subsets. These analysis provide diagnostic information to assess genotypic response characteristics and enable a scientist to group the genotypes in such a way that the genotypes within each subset display no GE interactions. It is hoped that by dissecting the data into homogeneous subsets the interaction structure of the data can be revealed. The program can handle five methods depending on whether a regression (linear or quadratic) or an ANOVA model is used, and whether grouping is done with respect to the similarity of GE interaction alone or the genetic effect and GE interaction combinedPROGRAMAS DE COMPUTACIONINTERACCION GENOTIPO-AMBIENTEANALISIS DE LA INFORMACIONAgronomy Journal (EUA) |
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PROGRAMAS DE COMPUTACION INTERACCION GENOTIPO-AMBIENTE ANALISIS DE LA INFORMACION PROGRAMAS DE COMPUTACION INTERACCION GENOTIPO-AMBIENTE ANALISIS DE LA INFORMACION |
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PROGRAMAS DE COMPUTACION INTERACCION GENOTIPO-AMBIENTE ANALISIS DE LA INFORMACION PROGRAMAS DE COMPUTACION INTERACCION GENOTIPO-AMBIENTE ANALISIS DE LA INFORMACION 86795 Lin, C.S. 52261 Butler, G. 75696 Hall, I. 98622 Nault, C. Program for investigating genotype-environment interaction |
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This program was written to investigate genotype-environment (GE) interaction in two-way classification data. The analysis consists of three parts: (i) stability analysis of genotypes based on a regression or an ANOVA model, (ii) estimation and plotting of residuals, and (iii) cluster analysis for dissecting the data set into homogeneous subsets. These analysis provide diagnostic information to assess genotypic response characteristics and enable a scientist to group the genotypes in such a way that the genotypes within each subset display no GE interactions. It is hoped that by dissecting the data into homogeneous subsets the interaction structure of the data can be revealed. The program can handle five methods depending on whether a regression (linear or quadratic) or an ANOVA model is used, and whether grouping is done with respect to the similarity of GE interaction alone or the genetic effect and GE interaction combined |
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PROGRAMAS DE COMPUTACION INTERACCION GENOTIPO-AMBIENTE ANALISIS DE LA INFORMACION |
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86795 Lin, C.S. 52261 Butler, G. 75696 Hall, I. 98622 Nault, C. |
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86795 Lin, C.S. 52261 Butler, G. 75696 Hall, I. 98622 Nault, C. |
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86795 Lin, C.S. |
title |
Program for investigating genotype-environment interaction |
title_short |
Program for investigating genotype-environment interaction |
title_full |
Program for investigating genotype-environment interaction |
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Program for investigating genotype-environment interaction |
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Program for investigating genotype-environment interaction |
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program for investigating genotype-environment interaction |
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AT 86795lincs programforinvestigatinggenotypeenvironmentinteraction AT 52261butlerg programforinvestigatinggenotypeenvironmentinteraction AT 75696halli programforinvestigatinggenotypeenvironmentinteraction AT 98622naultc programforinvestigatinggenotypeenvironmentinteraction |
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