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Genotype-by-Environment Interactions

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Abstract

A phenotype is the function of a genotype, the environment and the differential response of genotypes to different environments. This is known as genotype-by-environment (G × E) interaction. G × E is a statistical decomposition of variance and provides a measure of the relative performance of genotypes grown under different environments. These interactions were managed and analysed by the plant breeders during the history of crop domestication, crop improvement and dispersal.

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Abbreviations

AMMI:

Additive main effect and multiplicative model

BLUP:

Best linear unbiased prediction

COMM:

Completely multiplicative model

FAMM:

Factor analytic multiplicative mixed model

FR:

Factorial regression

G × E :

Genotype × environment interaction

GREG :

Genotype regression model

LR:

Linear regression

M × E:

Marker × environment interaction

MET:

Multi-environment trial

NCOI:

Non-crossover interaction

PCA:

Principal component analysis

PLSR:

Partial least square regression

QTL:

Quantitative trait locus

Q × E:

QTL × environmental interaction

SHMM:

Shifted multiplicative model

SVD:

Singular value decomposition

SREG:

Sites regression model

TPE:

Target population of environments

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Priyadarshan, P.M. (2019). Genotype-by-Environment Interactions. In: PLANT BREEDING: Classical to Modern. Springer, Singapore. https://doi.org/10.1007/978-981-13-7095-3_20

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