Genotype X Environment Interaction on Bread Wheat: A Comparison of Statistical Methods and Adaptation Assessment - Couverture souple

Tadege, Muluken Bayable

 
9783847311546: Genotype X Environment Interaction on Bread Wheat: A Comparison of Statistical Methods and Adaptation Assessment
Couverture souple
ISBN 10 : 3847311549 ISBN 13 : 9783847311546
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Stable genotype would not contribute much variation to the variance in productivity over a region. In practice, however, genotypes do usually interact with their environment and show wide variations in stability. Since crop productivity is usually subject to risk, breeders have to exploit the opportunity of genotype by environment interaction which describes how well each genotype will respond to different growing conditions. To analyze such interactions, a number of parametric and nonparametric statistical methods have been developed by different researchers. However, considerable debates of opinion still exist between the leading protagonists of the different statistical methods in identifying the best and most suitable procedure to be used for a specific data set or production environment. This Thesis work, therefore, provides information about the relationship among the various statistical methods. I hope this work will help plant breeders in judging which method will explain best for a specific data set and whether a genotype is widely or specifically adapted.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Stable genotype would not contribute much variation to the variance in productivity over a region. In practice, however, genotypes do usually interact with their environment and show wide variations in stability. Since crop productivity is usually subject to risk, breeders have to exploit the opportunity of genotype by environment interaction which describes how well each genotype will respond to different growing conditions. To analyze such interactions, a number of parametric and nonparametric statistical methods have been developed by different researchers. However, considerable debates of opinion still exist between the leading protagonists of the different statistical methods in identifying the best and most suitable procedure to be used for a specific data set or production environment. This Thesis work, therefore, provides information about the relationship among the various statistical methods. I hope this work will help plant breeders in judging which method will explain best for a specific data set and whether a genotype is widely or specifically adapted.

Biographie de l'auteur

Mr. Muluken Bayable has obtained his BSc Degree in Dry land Crop Science in 2003 at Mekelle University. Then after graduation he has worked in one of the agricultural research institutes of Ethiopia as a highland pulse crops breeder and contributed much for the release of one faba bean variety. He has also obtained his MSc degree in Plant Breeding.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847311549
ISBN 13 
9783847311546
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
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