An overview of statistical methods to detect and understand genotype-by-environment interaction and QTL-by-environment interaction
نویسندگان
چکیده
منابع مشابه
The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis
Genotype-by-environment interaction (GEI) is an important phenomenon in plant breeding. This paper presents a series of models for describing, exploring, understanding, and predicting GEI. All models depart from a two-way table of genotype by environment means. First, a series of descriptive and explorative models/approaches are presented: Finlay-Wilkinson model, AMMI model, GGE biplot. All of ...
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Historically in plant breeding a large number of statistical models has been developed and used for studying genotype × environment interaction. These models have helped plant breeders to assess the stability of economically important traits and to predict the performance of newly developed genotypes evaluated under varying environmental conditions. In the last decade, the use of relatively low...
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Natural populations exhibit substantial variation in quantitative traits. A quantitative trait is typically defined by its mean and variance, and to date most genetic mapping studies focus on loci altering trait means but not (co)variances. For single traits, the control of trait variance across genetic backgrounds is referred to as genetic canalization. With multiple traits, the genetic covari...
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ژورنال
عنوان ژورنال: Biometrical Letters
سال: 2018
ISSN: 1896-3811
DOI: 10.2478/bile-2018-0009