Results 51 to 60 of about 10,959 (264)

Path analysis under multiple-trait BLUP: application in the study of interrelationships among traits related to cotton fiber length

Revista de la Facultad de Ciencias Agrarias, 2021
Multi-trait best linear unbiased prediction (BLUP) is, generally, the most appropriate method to genetic evaluation because it considers the genetic and residual correlations among traits and conduct to higher selection accuracy.
Rodrigo Alves, João Rocha, Larissa Teodoro, Luiz Carvalho, Francisco Farias, Marcos Resende, Leonardo Bhering, Paulo Teodoro   +7 more
doaj   +1 more source

Intra‐ and Interspecific Effects on Spatio‐Temporal Behavior of Common Commensal Rodent Species

Integrative Zoology, EarlyView.
This study revealed major findings on spatio‐temporal behavior of commensal rodents on a pig farm showing the influence of interspecific dominance on movement behavior and the resulting species‐specific ecological adaptations. Additionally, rodents tend to stay in their home ranges and migration to other stable buildings is only rare.
Florian Huels, Vincent Sluydts, Dries Vermeiren, Marina Voinson, Lucinda Kirkpatrick, Ivan Herrera Olivares, Herwig Leirs, Jens Jacob, Bram Vanden Broecke   +8 more
wiley   +1 more source

Die Robustheit von BLUP und EBLUP

, 1999
. Title of the paper: The Robustness of BLUP and EBLUP The expectations of BLP and BLUP used as estimator for fixed effects and as predictor for random effects were investigated concerning the property "unbiasedness".
G. Dietl, M. Tuchscherer, A. Tuchscherer, G. Herrendörfer   +3 more
core   +1 more source

Uncovering the Process of Sexual Segregation: Male Early‐Life Individual Tactics Shape Its Onset and Affect Phenotypic Quality in a Large Mammal

Integrative Zoology, EarlyView.
Early‐life traits significantly influence sexual segregation patterns and phenotypic quality in male fallow deer. Males in better condition and those more risk‐prone left natal groups earlier with fewer returns to natal groups. However, males with frequent excursions back to natal groups compensated for initial body condition disadvantages.
Cong Yu, Bawan Amin, Anna David, Jane Faull, Kimberly Conteddu, Laura L. Griffin, Adam F. Smith, Amy Haigh, Simone Ciuti   +8 more
wiley   +1 more source

Genetic parameters and multiple-trait selection in wheat genotypes

Pesquisa Agropecuária Tropical, 2021
Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects ...
Carine Meier, Volmir Sergio Marchioro, Daniela Meira, Tiago Olivoto, Luís Antônio Klein   +4 more
doaj   +1 more source

Generalized prediction intervals for BLUPs in mixed models

Journal of Multivariate Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinadasa Gamage, Thomas Mathew, Samaradasa Weerahandi   +2 more
openaire   +2 more sources

Regression coefficients of the adjusted phenotype on the EBVs and GEBVs in BLUP by single- and multi-trait (ST-BLUP and MT-BLUP) and ssGBLUP by single- and multi-trait (ST-ssGBLUP and MT-ssGBLUP) models in Hanwoo population.

, 2019
Regression coefficients of the adjusted phenotype on the EBVs and GEBVs in BLUP by single- and multi-trait (ST-BLUP and MT-BLUP) and ssGBLUP by single- and multi-trait (ST-ssGBLUP and MT-ssGBLUP) models in Hanwoo population.
Hossein Mehrban (3642013), Deuk Hwan Lee (7495571), Noelia Ibáñez-Escriche (3214788), Masoumeh Naserkheil (3642016), Mohammad Hossein Moradi (7495574)   +4 more
core   +1 more source

Genotype ranking and selected genotypes using the FAI-BLUP index.

, 2023
Genotype ranking and selected genotypes using the FAI-BLUP index.
Françoise Dalprá Dariva (13254335), Mariane Gonçalves Ferreira Copati (13254332), Carlos Nick Gomes (10379357), Felipe de Oliveira Dias (16378350), Ramon Gonçalves de Paula (16378347), Herika Paula Pessoa (13254326)   +5 more
core   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley   +1 more source

BLUP for Merino breeding

, 1997
Best Linear Unbiased Prediction (BLUP) experiences of farmers into their genetic breeding ...
Windsor, David, Greeff, Johan
core   +1 more source