Modeling QTLS and QTL x E using factorial regression models and partial least squares techniques
Material type:
ArticleLanguage: English Publication details: Chapingo (Mexico) : SOMEFI, 2000.ISBN: - 968-839-313-4
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Conference proceedings | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Staff Publications Collection | CIS-2729 (Browse shelf(Opens below)) | 1 | Available | 649344 |
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Multiplicative models for the analysis of phenotypic responses over environments including GxE, characteristically describe phenotypic responses in terms of differential genotypic sensitivity to various forms of environmental characterization. Regression models for QTL analysis have a structure that is fully compatible with the structure of such multiplicative models. A synthesis of multiplicative models for the description of phenotypic responses and regression models for QTL analysis is presented that covers a wide range of applications and needs for the analysis of GxE and QTLxE. Within this framework, marked based regression, interval mapping and composite interval mapping are described. Special attention is given to testing of QTL- and QTLxE effects, with a solution to the problem of multiple testing being based on a permutation procedure.
Generation Challenge Program|Genetic Resources Program
Text in English
AL-Biometrics Program|AL-Maize Program|AL-Wheat program|EE|R99-00CIMPU|0010|3
INT1991|CCJL01
CIMMYT Staff Publications Collection