Importance of BLUP method in plant breeding
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
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The Use of BLUP Method in Ram Selection
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
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Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model [PDF]
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
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
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Genetic identification and characterization of novel loci for flag leaf morphology traits in Chinese endemic wheat. [PDF]
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.
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
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Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix [PDF]
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
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The agreement between genotypes selected by the G-BLUP MT and G-BLUP ST models.
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
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Avoiding the misuse of BLUP in behavioural ecology [PDF]
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
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Potential benefit from using an identified major gene in BLUP evaluation with truncation and optimal selection [PDF]
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
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