Optimization of Eucalyptus breeding through random regression models allowing for reaction norms in response to environmental gradients

2020 ◽  
Vol 16 (2) ◽  
Author(s):  
Rodrigo Silva Alves ◽  
Marcos Deon Vilela de Resende ◽  
Camila Ferreira Azevedo ◽  
Fabyano Fonseca e Silva ◽  
João Romero do Amaral Santos de Car Rocha ◽  
...  
Keyword(s):  
Regression Models ◽  
Environmental Gradients ◽  
Reaction Norms ◽  
Random Regression

scholarly journals Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding

Bragantia ◽  
2020 ◽  
Vol 79 (4) ◽  
pp. 360-376
Author(s):  
Rodrigo Silva Alves ◽  
Marcos Deon Vilela de Resende ◽  
João Romero do Amaral Santos de Carvalho Rocha ◽  
Marco Antônio Peixoto ◽  
Paulo Eduardo Teodoro ◽  
...  
Keyword(s):  
Individual Variation ◽  
Legendre Polynomials ◽  
Regression Models ◽  
Reaction Norms ◽  
Random Regression

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.

scholarly journals MicroRNA profiles of dry secretions through the first three weeks of the dry period from Holstein cows

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ellie J. Putz ◽  
Austin M. Putz ◽  
Hyeongseon Jeon ◽  
John D. Lippolis ◽  
Hao Ma ◽  
...  
Keyword(s):  
Regression Models ◽  
Transition Period ◽  
Mirna Profile ◽  
Random Regression ◽  
Q Value ◽  
Dry Period ◽  
Regulate Gene Expression ◽  
Intramammary Infections ◽  
Non Coding Rnas ◽  
Insight Into

AbstractIn dairy cows, the period from the end of lactation through the dry period and into the transition period, requires vast physiological and immunological changes critical to mammary health. The dry period is important to the success of the next lactation and intramammary infections during the dry period will adversely alter mammary function, health and milk production for the subsequent lactation. MicroRNAs (miRNAs) are small non-coding RNAs that can post transcriptionally regulate gene expression. We sought to characterize the miRNA profile in dry secretions from the last day of lactation to 3, 10, and 21 days post dry-off. We identified 816 known and 80 novel miRNAs. We found 46 miRNAs whose expression significantly changed (q-value < 0.05) over the first three weeks of dry-off. Additionally, we examined the slopes of random regression models of log transformed normalized counts and cross analyzed the 46 significantly upregulated and downregulated miRNAs. These miRNAs were found to be associated with important components of pregnancy, lactation, as well as inflammation and disease. Detailing the miRNA profile of dry secretions through the dry-off period provides insight into the biology at work, possible means of regulation, components of resistance and/or susceptibility, and outlets for targeted therapy development.

scholarly journals Genotypic parameters for egg production in pure breed hens by using random regression model

2017 ◽  
Vol 47 (5) ◽  
Author(s):  
Priscila Becker Ferreira ◽  
Paulo Roberto Nogara Rorato ◽  
Fernanda Cristina Breda ◽  
Vanessa Tomazetti Michelotti ◽  
Alexandre Pires Rosa ◽  
...  
Keyword(s):  
Regression Model ◽  
Regression Models ◽  
Egg Production ◽  
Random Regression ◽  
Broad Sense Heritability ◽  
Residual Matrix ◽  
Random Regression Model ◽  
Residual Covariance ◽  
Genotypic Correlations ◽  
Selection Of

ABSTRACT: This study aimed to test different genotypic and residual covariance matrix structures in random regression models to model the egg production of Barred Plymouth Rock and White Plymouth Rock hens aged between 5 and 12 months. In addition, we estimated broad-sense heritability, and environmental and genotypic correlations. Six random regression models were evaluated, and for each model, 12 genotypic and residual matrix structures were tested. The random regression model with linear intercept and unstructured covariance (UN) for a matrix of random effects and unstructured correlation (UNR) for residual matrix adequately model the egg production curve of hens of the two study breeds. Genotypic correlations ranged from 0.15 (between age of 5 and 12 months) to 0.99 (between age of 10 and 11 months) and increased based on the time elapsed. Egg production heritability between 5- and 12-month-old hens increased with age, varying from 0.15 to 0.51. From the age of 9 months onward, heritability was moderate with estimates of genotypic correlations higher than 90% at the age of 10, 11, and 12 months. Results suggested that selection of hens to improve egg production should commence at the ninth month of age.

scholarly journals Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows

2013 ◽  
Vol 12 (1) ◽  
pp. 143-153 ◽  
Author(s):  
D.J.A. Santos ◽  
M.G.C.D. Peixoto ◽  
R.R. Aspilcueta Borquis ◽  
R.S. Verneque ◽  
J.C.C. Panetto ◽  
...  
Keyword(s):  
Milk Production ◽  
Regression Models ◽  
Genetic Parameters ◽  
Bos Indicus ◽  
Random Regression
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