Statistical Models Comparison for Genotype x Environment Interaction: Simulation study in a sugarcane perspective - Softcover
Inhaltsangabe
Brazil is the world’s leader in sugarcane production, and the largest sugar exporter. Developing new varieties is one of the main factors to increase crop yield, and interpretation of genotype-environment interaction (GEI) in the final selection stage is an important aspect to estimate yield. In order to select the best genotypes, varieties are tested in different environments, and breeders need to estimate the phenotypic performance for principle traits such as tons of cane per hectare. GEI affects the selection of superior genotypes, thus, mathematical or statistical models that consider GEI are necessary and that are able to efficiently identify such genotypes. Geneticists and biometricians have used different methods and there is no clear consensus of the best method to be adopted. In this book, we present a comparison of three methods, namely (i) Eberhart-Russel; (ii) AMMI; (iii) and mixed model (REML/BLUP), in a simulation study performed in the R computing environment to verify the effectiveness of each method in detecting GEI, and assess the particularities of each method from a statistical standpoint. More than 34 million data points were generated and discussed.
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Über die Autorin bzw. den Autor
Dr. Guilherme Ferraudo, Statistician, obtained his PhD degree in Agronomy (Genetics and Plant Breeding) in 2013 from São Paulo state University (UNESP). He's been working as Statistician for Monsanto since 2008. Prof. Dr. Dilermando Perecin is a full professor at UNESP and he's published more than 100 papers in the area of experimental statistics.
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Statistical Models Comparison for Genotype x Environment Interaction
Verlag:
LAP Lambert Academic Publishing Feb 2015, 2015
ISBN 10: 3659344214
ISBN 13: 9783659344213
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brazil is the world s leader in sugarcane production, and the largest sugar exporter. Developing new varieties is one of the main factors to increase crop yield, and interpretation of genotype-environment interaction (GEI) in the final selection stage is an important aspect to estimate yield. In order to select the best genotypes, varieties are tested in different environments, and breeders need to estimate the phenotypic performance for principle traits such as tons of cane per hectare. GEI affects the selection of superior genotypes, thus, mathematical or statistical models that consider GEI are necessary and that are able to efficiently identify such genotypes. Geneticists and biometricians have used different methods and there is no clear consensus of the best method to be adopted. In this book, we present a comparison of three methods, namely (i) Eberhart-Russel; (ii) AMMI; (iii) and mixed model (REML/BLUP), in a simulation study performed in the R computing environment to verify the effectiveness of each method in detecting GEI, and assess the particularities of each method from a statistical standpoint. More than 34 million data points were generated and discussed. 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659344213
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Statistical Models Comparison for Genotype x Environment Interaction
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ISBN 10: 3659344214
ISBN 13: 9783659344213
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Statistical Models Comparison for Genotype x Environment Interaction
Verlag:
LAP LAMBERT Academic Publishing Feb 2015, 2015
ISBN 10: 3659344214
ISBN 13: 9783659344213
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brazil is the world's leader in sugarcane production, and the largest sugar exporter. Developing new varieties is one of the main factors to increase crop yield, and interpretation of genotype-environment interaction (GEI) in the final selection stage is an important aspect to estimate yield. In order to select the best genotypes, varieties are tested in different environments, and breeders need to estimate the phenotypic performance for principle traits such as tons of cane per hectare. GEI affects the selection of superior genotypes, thus, mathematical or statistical models that consider GEI are necessary and that are able to efficiently identify such genotypes. Geneticists and biometricians have used different methods and there is no clear consensus of the best method to be adopted. In this book, we present a comparison of three methods, namely (i) Eberhart-Russel; (ii) AMMI; (iii) and mixed model (REML/BLUP), in a simulation study performed in the R computing environment to verify the effectiveness of each method in detecting GEI, and assess the particularities of each method from a statistical standpoint. More than 34 million data points were generated and discussed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Bestandsnummer des Verkäufers 9783659344213
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Statistical Models Comparison for Genotype x Environment Interaction : Simulation study in a sugarcane perspective
Verlag:
LAP Lambert Academic Publishing, 2015
ISBN 10: 3659344214
ISBN 13: 9783659344213
Neu
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brazil is the world s leader in sugarcane production, and the largest sugar exporter. Developing new varieties is one of the main factors to increase crop yield, and interpretation of genotype-environment interaction (GEI) in the final selection stage is an important aspect to estimate yield. In order to select the best genotypes, varieties are tested in different environments, and breeders need to estimate the phenotypic performance for principle traits such as tons of cane per hectare. GEI affects the selection of superior genotypes, thus, mathematical or statistical models that consider GEI are necessary and that are able to efficiently identify such genotypes. Geneticists and biometricians have used different methods and there is no clear consensus of the best method to be adopted. In this book, we present a comparison of three methods, namely (i) Eberhart-Russel; (ii) AMMI; (iii) and mixed model (REML/BLUP), in a simulation study performed in the R computing environment to verify the effectiveness of each method in detecting GEI, and assess the particularities of each method from a statistical standpoint. More than 34 million data points were generated and discussed. Bestandsnummer des Verkäufers 9783659344213
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Statistical Models Comparison for Genotype x Environment Interaction | Simulation study in a sugarcane perspective
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659344214
ISBN 13: 9783659344213
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Taschenbuch. Zustand: Neu. Statistical Models Comparison for Genotype x Environment Interaction | Simulation study in a sugarcane perspective | Guilherme M. Ferraudo (u. a.) | Taschenbuch | 124 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659344213 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104895477
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