Results 11 to 20 of about 10,959 (264)

Importance of BLUP method in plant breeding

open access: yesJournal 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 many fields of research.
Mahdi Tajalifar, Mohammad Rasooli
openaire   +2 more sources

The Use of BLUP Method in Ram Selection

open access: yesKafkas Universitesi Veteriner Fakultesi Dergisi, 2009
Bu calisma, Konya Merinos’u kuzularinin sutten kesim agirligi yonunden, damizlik degerlerini BLUP (Best Linear Unbiased Prediction) metodu ile hesaplamak amaciyla yapilmistir. Calismada, 1997-2002 yillari arasinda Konya Hayvancilik Arastirma Enstitusu’nde yetistirilen, 1167 bas Konya Merinosu kuzularina ait kayitlar degerlendirmeye alinmistir.
Karabulut, Osman, Tekin, Mehmet Emin
core   +6 more sources

Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model [PDF]

open access: yesGenetics Selection Evolution, 2017
Background The rapid adoption of genomic selection is due to two key factors: availability of both high-throughput dense genotyping and statistical methods to estimate and predict breeding values.
Oscar O. M. Iheshiulor   +4 more
doaj   +2 more sources

BLUP: Neither Best nor Unbiased

open access: yes
BLUP is algebraically analyzed in the case of IID errors and orthogonal data. BLUP is biased for any finite N and does not consistently score lower MSE than OLS. BLUP also underestimates the variance of the parameter vector for any finite N. Arguments are verified with simulation.
Joseph Bronski
openaire   +2 more sources

Genetic identification and characterization of novel loci for flag leaf morphology traits in Chinese endemic wheat. [PDF]

open access: yesPlant Genome
Abstract Flag leaf morphology (FLM) is a critical determinant of wheat (Triticum aestivum L.) photosynthetic efficiency and grain yield. Chinese endemic wheat, a unique genetic reservoir formed by long‐term adaptation to diverse and heterogeneous environments in China, harbors abundant, untapped allelic variation for traits related to environmental ...
Lohani MN   +12 more
europepmc   +2 more sources

Predictive ability for G-BLUP ST and G-BLUP MT.

open access: yes, 2023
Predictive ability () and their respective standard errors of the single-trait (G-BLUP ST), multi-trait (G-BLUP MT) models for RL (Rachis Length), EDF (Equatorial Fruit Diameter), MFB (Mass of Fruit per Bunch), NB (Number of Bunch) and PY (Pulp Yield).
Marcia Flores da Silva Ferreira (11185427)   +8 more
core   +1 more source

Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix [PDF]

open access: yes, 2010
Background: With the availability of high density whole-genome single nucleotide polymorphism chips, genomic selection has become a promising method to estimate genetic merit with potentially high accuracy for animal, plant and aquaculture species of ...
Bijma, Piter   +23 more
core   +1 more source

The agreement between genotypes selected by the G-BLUP MT and G-BLUP ST models.

open access: yes, 2023
The Cohen’s Kappa coefficient showing the agreement between genotypes selected by the G-BLUP MT and G-BLUP ST models. Kappa (I) - 20% of the best genotypes (50 genotypes) and Kappa (II)—the six best genotypes selected (represented by red lines).
Marcia Flores da Silva Ferreira (11185427)   +8 more
core   +1 more source

Avoiding the misuse of BLUP in behavioural ecology [PDF]

open access: yesBehavioral Ecology, 2017
Having recognized that variation around the population-level "Golden Mean" of labile traits contains biologically meaningful information, behavioural ecologists have focused increasingly on exploring the causes and consequences of individual variation in behaviour.
Houslay, TM, Wilson, A
openaire   +3 more sources

Potential benefit from using an identified major gene in BLUP evaluation with truncation and optimal selection [PDF]

open access: yes, 1999
This study investigates the benefit of including information on an identified major gene in the estimation of breeding values in BLUP selection programmes. Selection for a quantitative trait is controlled by polygenes and a major locus with known effect.
Ricardo Pong-Wong   +11 more
core   +1 more source

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