Results 81 to 90 of about 26,736 (301)
Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP
PLoS ONE, 2014 We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D +4 more
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Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression [PDF]
, 2012 This paper deals with the speed of convergence of the learning curve in a Gaussian process regression framework. The learning curve describes the average generalization error of the Gaussian process used for the regression.
Garnier, Josselin, Gratiet, Loic Le
core +2 more sources
Electronic Journal of Plant BreedingSugarcane is an important crop that significantly contributes to the production of sugar, jaggery, and bioethanol worldwide. One of the major challenges sugarcane breeders face is identifying superior clones that possess a combination of desirable ...
D. Adilakshmi1*, P. V. Padmavathi1, D. Purushotama Rao1 and Ch. Mukunda Rao2
doaj +1 more source
Some remarks on a pair of seemingly unrelated regression models
Open Mathematics, 2019 Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
doaj +1 more source
The Journal of Poultry Science, 2016 The present study in Japanese quail was aimed to develop multi-trait genetic selection program for a meat type sire line utilizing the mixed-model methodology.
Doğan Narinç +2 more
doaj +1 more source
Journal of Animal Breeding and Genetics, EarlyView.ABSTRACT This study evaluated the influence of variance component (VC) estimates, obtained from different models and two relationship matrices, pedigree‐based (BLUP) and genomic information‐based (ssGBLUP), on genomic predictions of carcass traits in Montana composite cattle.
Caroline Assis Almeida +9 more
wiley +1 more source
Genomic investigation of milk production in Italian buffalo
Italian Journal of Animal Science, 2021 The aim of this study was to test the feasibility of genomic selection in the Italian Mediterranean water buffalo, which is farmed mainly in the south Italy for milk, and mozzarella, production. A total of 498 animals were genotyped at 49,164 loci.
Alberto Cesarani +7 more
doaj +1 more source
Genomic Analysis of Inbreeding Depression on Productive Traits in Rubia Galega Beef Cattle Breed
Journal of Animal Breeding and Genetics, EarlyView.ABSTRACT In autochthonous livestock breeds with small populations, such as the Rubia Galega from Galicia (Spain), mating between relatives is common and can lead to inbreeding depression. Genomic inbreeding coefficients were estimated for 4984 animals using ~63,000 SNPs to assess inbreeding depression in four key traits: age at first calving (AFC) with
N. Mejuto‐Vázquez +6 more
wiley +1 more source
Incorporating kernelized multi-omics data improves the accuracy of genomic prediction
Journal of Animal Science and Biotechnology, 2022 Background Genomic selection (GS) has revolutionized animal and plant breeding after the first implementation via early selection before measuring phenotypes.
Mang Liang +12 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. +4 more
openaire +3 more sources