Genotype X Environment Interaction on Bread Wheat | A Comparison of Statistical Methods and Adaptation Assessment

Muluken Bayable Tadege

ISBN 10: 3847311549 / ISBN 13: 9783847311546

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

Genotype X Environment Interaction on Bread Wheat | A Comparison of Statistical Methods and Adaptation Assessment | Muluken Bayable Tadege | Taschenbuch | 84 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847311546 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106649120

Bibliographic Details

• Title: Genotype X Environment Interaction on Bread Wheat | A Comparison of Statistical Methods and Adaptation Assessment
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3847311549
• ISBN 13: 9783847311546
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.