Results 21 to 30 of about 9,641,170 (252)

Analysis of linear and nonlinear genotype × environment interaction [PDF]

open access: yes, 2014
The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis).
Yang, Rong-Cai
core   +1 more source

Heritability and the genotype × environment interaction in soybean

open access: yesAgrosystems, Geosciences & Environment, 2020
The objectives of this study were to examine the implication of the genotype × environment interaction (G × E) in the identification of genetically superior soybean [Glycine max (L.) Merr.] progenies; to obtain estimates of genetic and phenotypic ...
Mariane Cristina Bianchi   +4 more
doaj   +1 more source

Evaluation of yield performance of early maturing soybean (Glycine max L. Merill) genotypes in Ethiopia by using GGE Biplot model

open access: yesInternational Journal of Agricultural Research, Innovation and Technology, 2022
Genotype main effect and genotype by environment interaction biplot analysis is the best fit model for which-won-where pattern analysis, genotype, and test environment evaluation.
Wondimu Yonas   +2 more
doaj   +1 more source

Analyzing genotype-by-environment interaction using curvilinear regression

open access: yesScientia Agricola, 2012
In the context of multi-environment trials, where a series of experiments is conducted across different environmental conditions, the analysis of the structure of genotype-by-environment interaction is an important topic.
Dulce Gamito Santinhos Pereira   +4 more
doaj   +1 more source

GENOTYPE ENVIRONMENT INTERACTION AND STABILITY ANALYSIS IN BLACKGRAM

open access: yesMadras Agricultural Journal, 1990
A set of 21 premising genotypes of blackgram were evaluated in Summer, Kharif and Rabi seasons during 1983, 1984 and 1985. Pooled analysis of variance indicated significant differences among the genotypes and the environments.
R.C. MISRA
doaj   +1 more source

Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods [PDF]

open access: yesپژوهش‌های ژنتیک گیاهی, 2021
Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an ...
Hossein Zeinalzadeh -Tabrizi   +2 more
doaj   +1 more source

Genotype by environment interaction in dairy cattle [PDF]

open access: yesBiotechnologie, Agronomie, Société et Environnement, 2009
The aim of this literature review was to identify the existence and scope of genotype by environment interaction (G × E)from reports on dairy cattle populations in different management systems.
Hammami H., Rekik B., Gengler N.
doaj  

GENOTYPE ENVIRONMENT INTERACTION IN RAGI (Eleusine coracana GAERTN)

open access: yesMadras Agricultural Journal, 1986
Fourteen genotypes of ragi wore investigated in terms of yield and its associated characters. The general association of yield with drymatter production was brought out Genotypes CO 7, IDS 1 and Indaf 5 doviated indicating their susceptibility to ...
K. M. SUNDARAM S   +1 more
doaj   +1 more source

Evaluation and selection of taro [Colocasia esculentra (L.) Schott] accessions under dryland conditions in South Africa

open access: yesActa Agriculturae Scandinavica. Section B, Soil and Plant Science, 2019
Taro [Colocasia esculenta (L.) Schott] is an important underutilised staple food crop in South Africa, with a lot of potential to address food insecurity among poor rural households.
Abe Shegro Gerrano   +5 more
doaj   +1 more source

Genotype-by-Environment Interaction and Stability Analysis in Grain Yield of Improved Tef (Eragrostis tef) Varieties Evaluated in Ethiopia [PDF]

open access: yes, 2019
Aims: To assess the magnitude of genotype by environment interaction; possible existence of different mega-environments; and discriminating ability and representativeness of the testing environments. Study Design: Randomized complete Block Design with
Jifar, Habte   +4 more
core   +2 more sources

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