Genotype-by-Environment Interaction
Editat de Manjit S. Kang, Jr. Gauchen Limba Engleză Hardback – 6 feb 1996
Molecular aspects of GEI are discussed for the first time and key bibliographical references on GEI are included in an appendix.
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Specificații
ISBN-13: 9780849340031
ISBN-10: 0849340039
Pagini: 424
Ilustrații: 258 equations; 96 Tables, black and white
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.96 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0849340039
Pagini: 424
Ilustrații: 258 equations; 96 Tables, black and white
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.96 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic and Professional ReferenceCuprins
New Developments in Selecting for Phenotypic Stability in Crop Breeding. Incorporating Additional Information on Genotypes and Environments in Models for Two-Way Genotype-by-Environment Tables. Relationships Among Analytical Methods Used to Study Genotype-by-Environment Interactions and Evaluation of Their Impact on Response to Selection. AMMI Analysis of Yield Trials. Identification of QTL That Are Affected by Environment. Analysis of Genotype-by-Environment Interaction and Phenotypic Stability. Using the SHifted Multiplicative Model Cluster Methods for Crossover Genotype-by-Environment Interaction. Statistical Tests and Estimators of Multiplicative Models for Genotype-by-Environment Interaction. Nonparametric Analysis of Genotype-by-Environment Interactions by Ranks. Analysis of Multiple-Environment Trials Using the Probability of Outperforming a Check. Breeding for Reliability Across Unpredictable, Widely Divergent Environments. Variable Active Genic Vs. Parental Genic Proportions Model for Genotype-by-Environment Interaction. Selection of Genotypes and Prediction of Performance by Analyzing Genotype-by-Environment Interactions. Spatial Analysis of Field Experiments: Fertilizer Experiments with Wheat and Tea. Bibliography.
Descriere
This volume aims at providing an up-to-date compendium of techniques for analyzing Genotype-by-Environment Interaction (GEI). It brings together contributions from knowledgeable plant breeders and quantitative geneticists to understand the relationship between crop performance and environment.