Results 21 to 30 of about 26,736 (301)

Selecting High-Performing and Stable Pea Genotypes in Multi-Environmental Trial (MET): Applying AMMI, GGE-Biplot, and BLUP Procedures

Plants, 2023
A large amount of data on various traits is accumulated over the course of a breeding program and can be used to optimize various aspects of the crop improvement pipeline. We leveraged data from advanced yield trials (AYT) of three classes of peas (green,
Sintayehu D. Daba, A. Kiszonas, R. McGee
semanticscholar   +1 more source

Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (Lens culinaris Medik.)

Plants, 2023
Lentil yield is a complicated quantitative trait; it is significantly influenced by the environment. It is crucial for improving human health and nutritional security in the country as well as for a sustainable agricultural system. The study was laid out
Md. Amir Hossain, Umakanta Sarker, M. Azam, M. Kobir, R. Roychowdhury, S. Ercişli, D. Ali, S. Oba, Kirill S. Golokhvast   +8 more
semanticscholar   +1 more source

Determining Heat Stress Effects of Multiple Genetic Traits in Tropical Dairy Cattle Using Single-Step Genomic BLUP

Veterinary Sciences, 2022
Heat stress is becoming a significant problem in dairy farming, especially in tropical countries, making accurate genetic selection for heat tolerance a priority. This study investigated the effect of heat stress manifestation on genetics for milk yield,
P. Sungkhapreecha, V. Chankitisakul, M. Duangjinda, S. Buaban, W. Boonkum   +4 more
semanticscholar   +1 more source

Different methods to calculate genomic predictions—Comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP) [PDF]

Journal of Dairy Science, 2012
Several strategies to use genomic data in predictions have been proposed. The aim of this study was to compare different genomic prediction methods. The response variables used in the genomic predictions were deregressed proofs, which were derived from 2 estimated breeding value (EBV) data sets.
Koivula, Minna, Strandén, Ismo, Su, G., Mäntysaari, Esa A.   +3 more
openaire   +3 more sources

Importance of BLUP method in plant breeding

Journal of Plant Science and Phytopathology, 2022
Introduction: The most desirable linear neutral prediction (BLUP) is a standard method for estimating the random effects of a hybrid model. This approach was originally developed in animal breeding to estimate breeding values and is now widely used in ...
Tajalifar Mahdi, Rasooli Mohammad
semanticscholar   +1 more source

Genome-wide Association Study (GWAS) and Its Application for Improving the Genomic Estimated Breeding Values (GEBV) of the Berkshire Pork Quality Traits [PDF]

Asian-Australasian Journal of Animal Sciences, 2015
The missing heritability has been a major problem in the analysis of best linear unbiased prediction (BLUP). We introduced the traditional genome-wide association study (GWAS) into the BLUP to improve the heritability estimation.
Young-Sup Lee, Hyeonsoo Jeong, Mengistie Taye, Hyeon Jeong Kim, Sojeong Ka, Youn-Chul Ryu, Seoae Cho   +6 more
doaj   +1 more source

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

Invited review: Unknown-parent groups and metafounders in single-step genomic BLUP.

Journal of Dairy Science, 2021
Single-step genomic BLUP (ssGBLUP) is a method for genomic prediction that integrates matrices of pedigree (A) and genomic (G) relationships into a single unified additive relationship matrix whose inverse is incorporated into a set of mixed model ...
Y. Masuda, P. Vanraden, S. Tsuruta, D. Lourenço, I. Misztal   +4 more
semanticscholar   +1 more source

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

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