Results 11 to 20 of about 19,808 (216)

Genomic prediction and association mapping of early season flood tolerance in soybean. [PDF]

Plant Genome
Abstract Flooding has become a major threat to soybean [Glycine max (L.) Merr.] production as the frequency and intensity of extreme precipitations have been increasing due to climate change. While advances have been made in identifying soybean genetic resources and genomic regions associated with mid‐season flood tolerance, there is limited ...
Vieira CC, Wu C, Harrison D, Marmo R, Florez-Palacios L, Acuna A, Rogers D, Fernandes SB, Fernandes I, Shannon G, Ye H, Nguyen HT.   +11 more
europepmc   +2 more sources

The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study [PDF]

Genomics & Informatics, 2014
Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic ...
Young-Sup Lee, Hyeon-Jeong Kim, Seoae Cho, Heebal Kim   +3 more
doaj   +1 more source

Single-step genomic BLUP with many metafounders

Frontiers in Genetics, 2022
Single-step genomic BLUP (ssGBLUP) model for routine genomic prediction of breeding values is developed intensively for many dairy cattle populations. Compatibility between the genomic (G) and the pedigree (A) relationship matrices remains an important challenge required in ssGBLUP.
Koivula, Minna, Aamand, Gert P., Strandén, Ismo, Mäntysaari, Esa, A., Kudinov, Andrei A.   +5 more
openaire   +4 more sources

SNP-BLUP, G-BLUP ja H-BLUP - johdanto genomisiin arvosteluihin

Suomen Maataloustieteellisen Seuran Tiedote, 2012
Genominen valinta tarkoittaa eläimen (ja kasvien) jalostusarvon ennustamista ja valintapäätöksen tekemistä yksilön DNA:n eli SNP- markkeritietojen perusteella. Viime vuosina genomisten jalostusarvojen laskentaan on kehitelty useita malleja. Yksinkertaisessa DNA markkeri eli SNP-BLUP menetelmään perustuvassa mallissa SNP-markkerivaikutuksia käsitellään ...
Koivula, Minna, Mäntysaari, Esa, Strandén, Ismo   +2 more
openaire   +4 more sources

Single-step genomic evaluation for growth traits in a Mexican Braunvieh cattle population [PDF]

Animal Bioscience, 2023
Objective The objective was to compare (pedigree-based) best linear unbiased prediction (BLUP), genomic BLUP (GBLUP), and single-step GBLUP (ssGBLUP) methods for genomic evaluation of growth traits in a Mexican Braunvieh cattle population. Methods Birth (
Jonathan Emanuel Valerio-Hernández, Agustín Ruíz-Flores, Mohammad Ali Nilforooshan, Paulino Pérez-Rodríguez   +3 more
doaj   +1 more source

The Misuse of BLUP in Ecology and Evolution

The American Naturalist, 2010
Best linear unbiased prediction (BLUP) is a method for obtaining point estimates of a random effect in a mixed effect model. Over the past decade it has been used extensively in ecology and evolutionary biology to predict individual breeding values and reaction norms.
Hadfield, Jarrod D., Wilson, Alastair J., Garant, Dany, Sheldon, B.C., Kruuk, Loeske   +4 more
openaire   +4 more sources

Ecriture des équations du BLUP multicaractères [PDF]

Annales de Génétique et de Sélection Animale, 1982
This paper gives expressions for multiple trait BLUP equations when the same factors are influencing all traits. Two cases are discussed depending on whether the information on the traits is complete or not. When all traits are recorded and with only one random factor considered in the model, the problem is simplified because a canonical ...
Foulley, Jean Louis, Calomiti, S., Gianola, D.   +2 more
openaire   +5 more sources

Evaluation of gene-based family-based methods to detect novel genes associated with familial late onset Alzheimer disease [PDF]

, 2018
Gene-based tests to study the combined effect of rare variants towards a particular phenotype have been widely developed for case-control studies, but their evolution and adaptation for family-based studies, especially for complex incomplete families ...
Budde, John, Cruchaga, Carlos, Del-Aguila, Jorge L, Deming, Yuetiva, Fernandez, Maria V, Goate, Alison M, Harari, Oscar, Ibanez, Laura, Morris, John C, NCRAD,, NIA-LOAD family study group,, Norton, Joanne   +11 more
core   +2 more sources

A study of the equivalence of inference results in the contexts of true and misspecified multivariate general linear models

AIMS Mathematics, 2023
In practical applications of regression models, we may meet with the situation where a true model is misspecified in some other forms due to certain unforeseeable reasons, so that estimation and statistical inference results obtained under the true and ...
Ruixia Yuan, Bo Jiang, Yongge Tian
doaj   +1 more source

On Misspecification of Spatial Weight Matrix for Small Area Estimation in Longitudinal Analysis [PDF]

, 2012
The problem of prediction of subpopulation (domain) total is studied as in Rao (2003). Considerations are based on spatially correlated longitudinal data.
Żądło, Tomasz
core   +1 more source