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Genomic selection


Tìm thấy 15+ kết quả cho từ khóa "Genomic selection"

Inbreeding and runs of homozygosity before and after genomic selection in North American Holstein cattle

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The rate of increase in the number of ROH post genomic selection was about per year while this was only prior to genomic selection. The use of genomic selection has resulted in increasing the number of ancestors contributing to the next generations, and therefore has reduced the close relationships in the population..

Pea genomic selection for Italian environments

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Background: A thorough verification of the ability of genomic selection (GS) to predict estimated breeding values for pea (Pisum sativum L.) grain yield is pending.

Bias in estimates of variance components in populations undergoing genomic selection: A simulation study

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Short communication: genomic prediction using different single-step methods in the Finnish red dairy cattle population. Comparing estimates of genetic variance across different relationship models. Inferring the trajectory of genetic variance in the course of artificial selection. Extension of the bayesian alphabet for genomic selection

A review of deep learning applications for genomic selection

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Extension of the Bayesian alphabet for genomic selection. Tokui S, et al. In: Proceedings of the Workshop on Machine Learning Systems (LearningSys) at the 28th Annual Conference on Neural Information Processing Systems (NIPS). Proceedings of the Workshop on Machine Learning in High- Performance Computing Environments - MLHPC ‘ 15. Amara J, et al. Deep machine learning provides state-of-the-art performance in image-based plant phenotyping..

Characterizing the oligogenic architecture of plant growth phenotypes informs genomic selection approaches in a common wheat population

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Instead of genotyping a population of a set size with genome-wide markers, making predic- tions with genomic selection models, and then removing transgressive segregants for plant height and heading date, breeders can instead screen larger populations initially with simple makers for major QTL, and focus genotyp- ing resources on lines predicted to be near optimal values for those secondary phenotypes.

Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance

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Genomic selection accuracy for leaf chlorophyll content indices (CCI) without the soybean cyst nematode (SCN) infestation, CCI of the SCN-infested plants, and reduction in CCI by SCN.

Accuracy of genomic selection for growth and wood quality traits in two controlpollinated progeny trials using exome capture as the genotyping platform in Norway spruce

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Genomic selection for growth and wood quality in Eucalyptus:. Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana). Genetic parameters and genotype by environment interaction in radiata pine for growth and wood quality traits in Australia

Genomic prediction using DArT-Seq technology for yellowtail kingfish Seriola lalandi

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Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. Genotype imputation to improve the cost-efficiency of genomic selection in farmed Atlantic salmon

Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform

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GS: Genomic selection. RR-BLUP: Ridge Regression Best Linear Unbiased Predictor. WD res : Wood density estimated using a Resistograph. We declare that the funding agencies did not participate in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.. In: Tuberosa R, et al., editors. Genomic selection in forest tree breeding.. Genomic selection in maritime pine. Whole-exome targeted sequencing of the uncharacterized pine genome.

Residual feed intake: A limiting economic factor for selection in poultry breeding programs

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In genomic selection, the genomic marker information derived from breeding values is a param- eter used in animal genetic improvement (Meuwissen et al., 2001). Ge- nomic selection is superior to the conventional method, which is based on pedigree information in poultry (Liu et al., 2017. Wolc et al., 2011;. Wolc et al., 2015). In laying hens, Wolc et al.

Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle

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The benefit of such approaches might increase in the near future as causative variants, or variants in high LD with those, are now frequently added to genotyping ar- rays to improve accuracy of genomic predictions (e.g., [23. A genomic selection program has been recently imple- mented in the Walloon region (Southern Belgium) for the Belgian Blue beef (BBB) cattle breed known for its extreme muscular development.

Genomic predictions combining SNP markers and copy number variations in Nellore cattle

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In this study, including copy number variation information into genomic selection proved to be beneficial for some traits. This might help in the prediction of complex traits and explain part of the missing heritability that SNP markers fail to capture.. Detail information of the CNVs detected with high confidence. The funders had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript..

Genomic selection for non-key traits in radiata pine when the documented pedigree is corrected using DNA marker information

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Genomic selection in dairy cattle: Integration of DNA testing into breeding programs. Genomic selection in forest tree breeding.. genomic selection in dairy cattle: Progress and challenges. Expected benefit of genomic selection over forward selection in conifer breeding and deployment. Extension of the Bayesian alphabet for genomic selection. A comparison of genomic selection models across time in interior spruce (Picea engelmannii x glauca) using unordered SNP imputation methods..

Genomic selection and genetic gain for nut yield in an Australian macadamia breeding population

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Genomic selection and genetic gain for nut yield in an Australian macadamia breeding population. Genomic selection (GS) is a useful tool in plant breeding, particularly with perennial trees, contributing to an increased rate of genetic gain and reducing the length of the breeding cycle. We investigated the potential of using GS methods to increase genetic gain and accelerate selection efficiency in the Australian macadamia breeding program with comparison to traditional breeding methods.

Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model

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Genomic selection in the French Lacaune dairy sheep breed. A point mutation in suppressor of cytokine signalling 2 (Socs2) increases the susceptibility to inflammation of the mammary gland while associated with higher body weight and size and higher milk production in a sheep model. In: Proceedings of the 7th world congress on genetics applied to livestock production. Effects of the FecL major gene in the Lacaune meat sheep population.

Assessing genomic diversity and signatures of selection in Jiaxian Red cattle using whole-genome sequencing data

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Assessing genomic diversity and signatures of selection in Jiaxian Red cattle using. Using whole-genome sequencing (WGS) data of 30 animals from the core breeding farm, we investigated the genetic diversity, population structure and genomic regions under selection of Jiaxian Red cattle. Furthermore, we used 131 published genomes of world-wide cattle to characterize the genomic variation of Jiaxian Red cattle..

Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

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Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection.