scholarly journals Identification of Factors That Cause Genotype by Environment Interaction Between Herds of Holstein Cattle in Seventeen Countries

2003 ◽  
Vol 86 (3) ◽  
pp. 1009-1018 ◽  
Author(s):  
N.R. Zwald ◽  
K.A. Weigel ◽  
W.F. Fikse ◽  
R. Rekaya
Keyword(s):  
Genotype By Environment Interaction ◽  
Holstein Cattle ◽  
Environment Interaction ◽  
Genotype By Environment

scholarly journals Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model

Heredity ◽  
2019 ◽  
Vol 123 (2) ◽  
pp. 202-214 ◽  
Author(s):  
Zhe Zhang ◽  
Morten Kargo ◽  
Aoxing Liu ◽  
Jørn Rind Thomasen ◽  
Yuchun Pan ◽  
...  
Keyword(s):  
Reaction Norm ◽  
Genotype By Environment Interaction ◽  
Single Step ◽  
Holstein Cattle ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Norm Model ◽  
Fertility Traits

Genotype by environment interaction for fat and protein yields via reaction norms in Holstein cattle of southern Brazil

2021 ◽  
Vol 88 (1) ◽  
pp. 16-22
Author(s):  
Henrique Alberto Mulim ◽  
Paulo Luiz Souza Carneiro ◽  
Carlos Henrique Mendes Malhado ◽  
Luís Fernando Batista Pinto ◽  
Gerson Barreto Mourão ◽  
...  
Keyword(s):  
Environmental Gradients ◽  
Genotype By Environment Interaction ◽  
Reaction Norms ◽  
Random Regression ◽  
Holstein Cattle ◽  
Environment Interaction ◽  
Southern Brazil ◽  
Genetic Merit ◽  
Genotype By Environment ◽  
Average Annual Temperature

AbstractOur objective was to evaluate the genetic merit of Holstein cattle population in southern Brazil in response to variations in the regional temperature by analyzing the genotype by environment interaction using reaction norms. Fat yield (FY) and protein yield (PY) data of 67 360 primiparous cows were obtained from the database of the Paraná Holstein Breeders Association, Brazil (APCBRH). The regional average annual temperature was used as the environmental variable. A random regression model was adopted applying mixed models with Restricted Maximum Likelihood (REML) algorithm using WOMBAT software. The genetic merit of the 15 most representative bulls, depending on the temperature gradient, was evaluated. Heritability ranged from 0.21 to 0.27 for FY and from 0.14 to 0.20 for PY. The genetic correlation observed among the environmental gradients proved to be higher than 0.80 for both traits. Slight reranking of bulls for both traits was detected, demonstrating that non-relevant genotype by environment interaction for FY and PY were observed. Consequently, no inclusion of the temperature effect in the model of genetic evaluation in southern Brazilian Holstein breed is required.

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

Exploring genotype‐by‐environment interaction in sweet sorghum under tropical environments

2021 ◽  
Author(s):  
Vander Fillipe Souza ◽  
Pedro César de Oliveira Ribeiro ◽  
Indalécio Cunha Vieira Júnior ◽  
Isadora Cristina Martins Oliveira ◽  
Cynthia Maria Borges Damasceno ◽  
...  
Keyword(s):  
Sweet Sorghum ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Tropical Environments

Genotype by environment interaction on phenology and synchronous maturity of mungbean

2021 ◽  
Author(s):  
Siti Marwiyah ◽  
Willy Bayuardi Suwarno ◽  
Desta Wirnas ◽  
Trikoesoemaningtyas xxx ◽  
Surjono Hadi Sutjahjo
Keyword(s):  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment
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