scholarly journals Genotype-environment interaction of maternal influence characteristics in Nellore cattle bred in the Brazilian humid tropical regions by reaction norm

2015 ◽  
Vol 36 (4) ◽  
pp. 2787
Author(s):  
Jorge Luís Ferreira ◽  
Fernando Brito Lopes ◽  
Thaymisson Santos de Lira ◽  
José Américo Soares Garcia ◽  
Raysildo Barbosa Lôbo ◽  
...  
Keyword(s):  
Reaction Norm ◽  
Maternal Influence ◽  
Environment Interaction ◽  
Tropical Regions ◽  
Genotype Environment Interaction ◽  
Nellore Cattle

Genotype×environment interaction for weaning weight in Nellore cattle using reaction norm analysis

2015 ◽  
Vol 176 ◽  
pp. 40-46 ◽  
Author(s):  
S. Ribeiro ◽  
J.P. Eler ◽  
V.B. Pedrosa ◽  
G.J.M. Rosa ◽  
J.B.S. Ferraz ◽  
...  
Keyword(s):  
Reaction Norm ◽  
Environment Interaction ◽  
Weaning Weight ◽  
Genotype Environment Interaction ◽  
Nellore Cattle

Genomic reaction norm models exploiting genotype × environment interaction on sexual precocity indicator traits in Nellore cattle

2020 ◽  
Vol 51 (2) ◽  
pp. 210-223 ◽  
Author(s):  
L. F. M. Mota ◽  
G. A. Fernandes ◽  
A. C. Herrera ◽  
D. C. B. Scalez ◽  
R. Espigolan ◽  
...  
Keyword(s):  
Reaction Norm ◽  
Environment Interaction ◽  
Sexual Precocity ◽  
Genotype Environment Interaction ◽  
Nellore Cattle ◽  
Indicator Traits

Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models

2018 ◽  
Vol 58 (11) ◽  
pp. 1996
Author(s):  
S. Ribeiro ◽  
J. P. Eler ◽  
V. B. Pedrosa ◽  
G. J. M. Rosa ◽  
J. B. S. Ferraz ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Environmental Gradient ◽  
Genotype By Environment Interaction ◽  
Reaction Norms ◽  
Breeding Value ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Nellore Cattle ◽  
Gradient Variation

In the present study, a possible existence of genotype × environment interaction was verified for yearling weight in Nellore cattle, utilising a reaction norms model. Therefore, possible changes in the breeding value were evaluated for 46 032 animals, from three distinct herds, according to the environmental gradient variation of the different contemporary groups. Under a Bayesian approach, analyses were carried out utilising INTERGEN software resulting in solutions of contemporary groups dispersed in the environmental gradient from –90 to +100 kg. The estimates of heritability coefficients ranged from 0.19 to 0.63 through the environmental gradient and the genetic correlation between intercept and slope of the reaction norms was 0.76. The genetic correlation considering all animals of the herds in the environmental gradient ranged from 0.83 to 1.0, and the correlation between breeding values of bulls in different environments ranged from 0.79 to 1.0. The results showed no effect of genotype × environment interaction on yearling weight in the herds of this study. However, it is important to verify a possible influence of the genotype × environment in the genetic evaluation of beef cattle, as different environments might cause interference in gene expression and consequently difference in phenotypic response.

Genotype–environment interaction for age at first calving in buffaloes, using the reaction norm model

2019 ◽  
Vol 54 (4) ◽  
pp. 727-732
Author(s):  
Gabriela Rodrigues Freitas ◽  
Naudin Alejandro Hurtado‐Lugo ◽  
Daniel Jordan de Abreu dos Santos ◽  
Rusbel Raul Aspilcueta Borquis ◽  
Newton Tamassia Pegolo ◽  
...  
Keyword(s):  
Reaction Norm ◽  
Environment Interaction ◽  
Age At First Calving ◽  
Genotype Environment Interaction ◽  
Norm Model

scholarly journals Reaction norms in weights at 365 days old in nellore bulls in northern Brazil

2015 ◽  
Vol 36 (6Supl2) ◽  
pp. 4613 ◽  
Author(s):  
Jorge Luís Ferreira ◽  
Alliny Souza de Assis ◽  
Fernando Brito Lopes ◽  
Thomas Wayne Murphy ◽  
Marcelo Corrêa da Silva ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Reaction Norm ◽  
Genotype By Environment Interaction ◽  
Random Regression ◽  
Residual Effects ◽  
Breeding Value ◽  
Environment Interaction ◽  
Nellore Cattle ◽  
Regression Techniques ◽  
Northern Brazil

<p>Genotype by environment interaction (GxE) studies are of particular interest in Brazil because of the regional diversity of environmental effects and the wide variety of management systems. The present study evaluates GxE effects on 365 d weight (365W) of Nellore cattle raised on pasture in northern Brazil. The analysis utilized random regression techniques to model the reaction norm. Fixed effects consisted of sex, contemporary group, and the covariate of age of cow at calving. The environmental gradient, defined by the concatenation of a bull and the state in which the calf was born, was modeled by second order Legendre polynomials. Direct additive genetic and residual effects were fit as random. Results showed differences in the magnitude of expression of genotype in proportion to decreasing favorability of the environment. As the environment became more unfavorable, the correlation of breeding value to different environments decreased. The correlations between the intercept and the level slope for 365W feature were of moderate magnitude, predominantly indicating the reclassification of sires in different environments. Reaction standard model was coherent from a technical and biological view point and enabled the perception of GxE in the genetic evaluation of Nellore cattle in the states of Maranhão, Pará and Tocantins.</p><p> </p>

Study of the effect of genotype-environment interaction on age at first calving and production traits in Nellore cattle using multi-trait reaction norms and Bayesian inference

2018 ◽  
Vol 89 (7) ◽  
pp. 939-945 ◽  
Author(s):  
Francisco Ribeiro de Araujo Neto ◽  
Newton Tamassia Pegolo ◽  
Rusbel Raul Aspilcueta-Borquis ◽  
Matilde Conceição Pessoa ◽  
Alexandre Bonifácio ◽  
...  
Keyword(s):  
Bayesian Inference ◽  
Reaction Norms ◽  
Environment Interaction ◽  
Production Traits ◽  
Age At First Calving ◽  
Genotype Environment Interaction ◽  
Nellore Cattle

scholarly journals GGE Biplot Analysis of Multi-Environment Yield Trials in Soybean Promising Lines

2019 ◽  
Vol 3 (2) ◽  
pp. 72
Author(s):  
Ayda Krisnawati ◽  
M. Muchlish Adie
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Tropical Regions ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Promising Line ◽  
The Tropics

Soybean in Indonesia is grown in diverse agro-ecological environments. The performance of soybean yield often varies due to significant genotype × environment interaction (GEI), therefore the yield stability of performance is an important consideration in the breeding program. The aim of the research was to exploring the GEI pattern and yield stability of soybean promising lines in the tropics using GGE (Genotype and Genotype by Environment Interaction) biplot method. A total of 16 soybean promising lines were evaluated in ten environments during 2016 growing season. The experiment was arranged in a randomized completely block design with four replicates. The analysis of variance revealed that environments (E) explained the highest percentage of variation (51.45%), meanwhile the genotypes (G) and genotype × environment interactions (GEI) contributed for 3.24%, and 14.59% of the total variation, respectively. Seed yield of 16 soybean promising lines ranged from 2.41 to 2.83 t.ha-1 with an average of 2.74 t.ha-1. Joint effects of genotype and interaction (G+GE) which was partitioned using GGE biplot analysis showed that the first two components were significant, explaining 60.88% (37.89% PC1 and 22.98% PC2) of the GGE sum of squares. Indonesia can be divided into at least four putative mega environments for soybean production. The GGE biplot identified G10 as high yielding and stable promising line, thus recommended to be developed in multi-environment in tropical regions of Indonesia.

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