Efficient Methods to Compute Genomic Predictions
TLDR
Efficient methods for processing genomic data were developed to increase reliability of estimated breeding values and to estimate thousands of marker effects simultaneously, and a blend of first- and second-order Jacobi iteration using 2 separate relaxation factors converged well for allele frequencies and effects.About:
This article is published in Journal of Dairy Science.The article was published on 2008-11-01 and is currently open access. It has received 4196 citations till now. The article focuses on the topics: Best linear unbiased prediction & Allele frequency.read more
Citations
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Journal ArticleDOI
Multiple trait genomic evaluation of conception rate in Holsteins
TL;DR: A multiple-trait evaluation of CR using the SSP is both possible and advantageous and the R(2) obtained were almost twice as large as those achieved with regular BLUP.
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Usefulness of a Multiparent Advanced Generation Intercross Population With a Greatly Reduced Mating Design for Genetic Studies in Winter Wheat.
TL;DR: It was shown that eight-founder MAGIC populations exhibit a greater number of loci and higher recombination rates, especially in the pericentromeric regions, compared to four- founder MAGIC, and biparental populations.
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Within- and across-breed genomic predictions and genomic relationships for Western Pyrenees dairy sheep breeds Latxa, Manech, and Basco-Béarnaise
Andres Legarra,G. Baloche,Francis Barillet,J. M. Astruc,C. Soulas,X. Aguerre,F. Arrese,L. Mintegi,M. Lasarte,F. Maeztu,I. Beltrán de Heredia,Eva Ugarte +11 more
TL;DR: Genotypes, phenotypes and pedigrees of 6 breeds of dairy sheep from the Spain and France Western Pyrenees were used to estimate genetic relationships across breeds and to verify by forward cross-validation single-Breed or multiple-breed genetic evaluations.
Journal ArticleDOI
A PECTIN METHYLESTERASE gene at the maize Ga1 locus confers male function in unilateral cross-incompatibility
Zhaogui Zhang,Baocai Zhang,Zhibin Chen,Dongmei Zhang,Huairen Zhang,Hang Wang,Yue Zhang,Darun Cai,Juan Liu,Senlin Xiao,Yanqing Huo,Jie Liu,Lanjun Zhang,Mingming Wang,Xu Liu,Yongbiao Xue,Li Zhao,Yihua Zhou,Huabang Chen +18 more
TL;DR: The cloning of ZmGa1P is reported, a pollen-expressed PECTIN METHYLESTERASE gene at the Ga1 locus that can confer the male function in the maize UCI system and provides a tool to manipulate hybrid breeding.
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Weighted single-step genomic BLUP improves accuracy of genomic breeding values for protein content in French dairy goats: a quantitative trait influenced by a major gene
TL;DR: The three weighted ssGBLUP methods were efficient for detecting SNPs associated with protein content and for a better prediction of genomic breeding values than ssGBBV, which combined fast computing, simplicity and required ssGB lUP to be run only twice.
References
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Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
TL;DR: It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
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Coefficients of Inbreeding and Relationship
TL;DR: The importance of having a coefficient by means of which the degree of inbreeding may be expressed has been brought out by Pearl' in a number of papers published between 1913 and 1917.
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Strategy for applying genome-wide selection in dairy cattle.
TL;DR: Genome-wide selection may become a popular tool for genetic improvement in livestock after a strategy that utilizes these advantages was compared with a traditional progeny testing strategy under a typical Canadian-like dairy cattle situation.
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Derivation, calculation, and use of national animal model information.
Paul M. VanRaden,G.R. Wiggans +1 more
TL;DR: New terms and definitions were developed to explain national USDA genetic evaluations computed by an animal model, whereiability is the squared correlation of predicted and true transmitting ability.
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Accuracy of Genomic Selection Using Different Methods to Define Haplotypes
TL;DR: It was concluded that genomic selection is considerably more accurate than traditional selection, especially for a low-heritability trait.