Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) :
The main goal of any plant breeding programme is to obtain improved cultivars. In general, a cultivar performs differently under different growing conditions and different cultivars grown in the same environment often yield different responses. Genotype x environment interaction (GE) occurs when the magnitude of changes differs in cultivars as a response to the distinct environments. GE interaction has important theoretical and practical implications in plant breeding. By means of methods, coffee breeders could obtain resistant cultivars to biotic factors, with better potential yield and adapted to a broad range of environmental conditions; these cultivars will be chosen by farmers to be sown under a wide range of altitude. At present, several methods are used to evaluate stability to measure the effects of GE interaction. Eberhart and Russell regression coefficient is a univariate option, while the additive main effects and multiplicative interaction effects model (AMMI) is a very useful multivariate option. This study used the AMMI model to evaluate F6 lines of coffee, short plant and resistant to rust (Hemileia vastatrix) at five locations during three consecutive years. Stability of yield by plant as cherry coffee and percentage of empty grains were evaluated under fifteen different environments. The AMMI model was efficient to estimate the GE interaction. The first principal component explained 94.07 percent of total variance. This analysis allows to select the best genotypes in the stability range (-0.4 major who CP1 minor who 0.4) per plant yield of cherry coffee increase by more than 25 percent compared with the control, cv. Catuai. Also, 5 percent lesser empty grains percentage than the control, lead us to conclude that the AMMI model showed close association with the best lines and the best environment.
Main Authors: | , , , , , , |
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Format: | biblioteca |
Language: | eng |
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Trieste (Italia) ASIC
2001
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Subjects: | COFFEA, COFFEA ARABICA, FITOMEJORAMIENTO, CAFE, RENDIMIENTO DE CULTIVOS, VARIEDADES, RESISTENCIA A LA ENFERMEDAD, ENFERMEDADES FUNGOSAS, ESTABILIDAD GENETICA, INTERACCION GENOTIPO AMBIENTE, ENFERMEDADES DE LAS PLANTAS, ORGANISMOS PATOGENOS, |
Online Access: | http://orton.catie.ac.cr/repdoc/ |
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COFFEA COFFEA ARABICA FITOMEJORAMIENTO CAFE RENDIMIENTO DE CULTIVOS VARIEDADES RESISTENCIA A LA ENFERMEDAD ENFERMEDADES FUNGOSAS ESTABILIDAD GENETICA INTERACCION GENOTIPO AMBIENTE ENFERMEDADES DE LAS PLANTAS ORGANISMOS PATOGENOS COFFEA COFFEA ARABICA FITOMEJORAMIENTO CAFE RENDIMIENTO DE CULTIVOS VARIEDADES RESISTENCIA A LA ENFERMEDAD ENFERMEDADES FUNGOSAS ESTABILIDAD GENETICA INTERACCION GENOTIPO AMBIENTE ENFERMEDADES DE LAS PLANTAS ORGANISMOS PATOGENOS |
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COFFEA COFFEA ARABICA FITOMEJORAMIENTO CAFE RENDIMIENTO DE CULTIVOS VARIEDADES RESISTENCIA A LA ENFERMEDAD ENFERMEDADES FUNGOSAS ESTABILIDAD GENETICA INTERACCION GENOTIPO AMBIENTE ENFERMEDADES DE LAS PLANTAS ORGANISMOS PATOGENOS COFFEA COFFEA ARABICA FITOMEJORAMIENTO CAFE RENDIMIENTO DE CULTIVOS VARIEDADES RESISTENCIA A LA ENFERMEDAD ENFERMEDADES FUNGOSAS ESTABILIDAD GENETICA INTERACCION GENOTIPO AMBIENTE ENFERMEDADES DE LAS PLANTAS ORGANISMOS PATOGENOS 52176 Bustamante, J.W. 67590 Figueroa Ruíz, R. 54860 Casanova, A. 70881 Garnica, J. 39478 Marín, C. 3180 Association Scientifique Internationale du Cafe, París (Francia) 32308 19. International Scientific Colloquium on Coffee Trieste (Italia) 14-18 May 2001 Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
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The main goal of any plant breeding programme is to obtain improved cultivars. In general, a cultivar performs differently under different growing conditions and different cultivars grown in the same environment often yield different responses. Genotype x environment interaction (GE) occurs when the magnitude of changes differs in cultivars as a response to the distinct environments. GE interaction has important theoretical and practical implications in plant breeding. By means of methods, coffee breeders could obtain resistant cultivars to biotic factors, with better potential yield and adapted to a broad range of environmental conditions; these cultivars will be chosen by farmers to be sown under a wide range of altitude. At present, several methods are used to evaluate stability to measure the effects of GE interaction. Eberhart and Russell regression coefficient is a univariate option, while the additive main effects and multiplicative interaction effects model (AMMI) is a very useful multivariate option. This study used the AMMI model to evaluate F6 lines of coffee, short plant and resistant to rust (Hemileia vastatrix) at five locations during three consecutive years. Stability of yield by plant as cherry coffee and percentage of empty grains were evaluated under fifteen different environments. The AMMI model was efficient to estimate the GE interaction. The first principal component explained 94.07 percent of total variance. This analysis allows to select the best genotypes in the stability range (-0.4 major who CP1 minor who 0.4) per plant yield of cherry coffee increase by more than 25 percent compared with the control, cv. Catuai. Also, 5 percent lesser empty grains percentage than the control, lead us to conclude that the AMMI model showed close association with the best lines and the best environment. |
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COFFEA COFFEA ARABICA FITOMEJORAMIENTO CAFE RENDIMIENTO DE CULTIVOS VARIEDADES RESISTENCIA A LA ENFERMEDAD ENFERMEDADES FUNGOSAS ESTABILIDAD GENETICA INTERACCION GENOTIPO AMBIENTE ENFERMEDADES DE LAS PLANTAS ORGANISMOS PATOGENOS |
author |
52176 Bustamante, J.W. 67590 Figueroa Ruíz, R. 54860 Casanova, A. 70881 Garnica, J. 39478 Marín, C. 3180 Association Scientifique Internationale du Cafe, París (Francia) 32308 19. International Scientific Colloquium on Coffee Trieste (Italia) 14-18 May 2001 |
author_facet |
52176 Bustamante, J.W. 67590 Figueroa Ruíz, R. 54860 Casanova, A. 70881 Garnica, J. 39478 Marín, C. 3180 Association Scientifique Internationale du Cafe, París (Francia) 32308 19. International Scientific Colloquium on Coffee Trieste (Italia) 14-18 May 2001 |
author_sort |
52176 Bustamante, J.W. |
title |
Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
title_short |
Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
title_full |
Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
title_fullStr |
Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
title_full_unstemmed |
Use of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) : |
title_sort |
use of multivariate estimators in genetic stability of coffee lines (coffea arabica l.) : |
publisher |
Trieste (Italia) ASIC |
publishDate |
2001 |
url |
http://orton.catie.ac.cr/repdoc/ |
work_keys_str_mv |
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_version_ |
1756059935233277952 |
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KOHA-OAI-BVE:892882020-02-03T21:57:13ZUse of multivariate estimators in genetic stability of coffee lines (Coffea arabica L.) :Proceedings : 52176 Bustamante, J.W. 67590 Figueroa Ruíz, R. 54860 Casanova, A. 70881 Garnica, J. 39478 Marín, C. 3180 Association Scientifique Internationale du Cafe, París (Francia) 32308 19. International Scientific Colloquium on Coffee Trieste (Italia) 14-18 May 2001 Trieste (Italia) ASIC2001engThe main goal of any plant breeding programme is to obtain improved cultivars. In general, a cultivar performs differently under different growing conditions and different cultivars grown in the same environment often yield different responses. Genotype x environment interaction (GE) occurs when the magnitude of changes differs in cultivars as a response to the distinct environments. GE interaction has important theoretical and practical implications in plant breeding. By means of methods, coffee breeders could obtain resistant cultivars to biotic factors, with better potential yield and adapted to a broad range of environmental conditions; these cultivars will be chosen by farmers to be sown under a wide range of altitude. At present, several methods are used to evaluate stability to measure the effects of GE interaction. Eberhart and Russell regression coefficient is a univariate option, while the additive main effects and multiplicative interaction effects model (AMMI) is a very useful multivariate option. This study used the AMMI model to evaluate F6 lines of coffee, short plant and resistant to rust (Hemileia vastatrix) at five locations during three consecutive years. Stability of yield by plant as cherry coffee and percentage of empty grains were evaluated under fifteen different environments. The AMMI model was efficient to estimate the GE interaction. The first principal component explained 94.07 percent of total variance. This analysis allows to select the best genotypes in the stability range (-0.4 major who CP1 minor who 0.4) per plant yield of cherry coffee increase by more than 25 percent compared with the control, cv. Catuai. Also, 5 percent lesser empty grains percentage than the control, lead us to conclude that the AMMI model showed close association with the best lines and the best environment.The main goal of any plant breeding programme is to obtain improved cultivars. In general, a cultivar performs differently under different growing conditions and different cultivars grown in the same environment often yield different responses. Genotype x environment interaction (GE) occurs when the magnitude of changes differs in cultivars as a response to the distinct environments. GE interaction has important theoretical and practical implications in plant breeding. By means of methods, coffee breeders could obtain resistant cultivars to biotic factors, with better potential yield and adapted to a broad range of environmental conditions; these cultivars will be chosen by farmers to be sown under a wide range of altitude. At present, several methods are used to evaluate stability to measure the effects of GE interaction. Eberhart and Russell regression coefficient is a univariate option, while the additive main effects and multiplicative interaction effects model (AMMI) is a very useful multivariate option. This study used the AMMI model to evaluate F6 lines of coffee, short plant and resistant to rust (Hemileia vastatrix) at five locations during three consecutive years. Stability of yield by plant as cherry coffee and percentage of empty grains were evaluated under fifteen different environments. The AMMI model was efficient to estimate the GE interaction. The first principal component explained 94.07 percent of total variance. This analysis allows to select the best genotypes in the stability range (-0.4 major who CP1 minor who 0.4) per plant yield of cherry coffee increase by more than 25 percent compared with the control, cv. Catuai. Also, 5 percent lesser empty grains percentage than the control, lead us to conclude that the AMMI model showed close association with the best lines and the best environment.COFFEACOFFEA ARABICAFITOMEJORAMIENTOCAFERENDIMIENTO DE CULTIVOSVARIEDADESRESISTENCIA A LA ENFERMEDADENFERMEDADES FUNGOSASESTABILIDAD GENETICAINTERACCION GENOTIPO AMBIENTEENFERMEDADES DE LAS PLANTASORGANISMOS PATOGENOShttp://orton.catie.ac.cr/repdoc/URN:ISBN:290012189 |