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Sökning: onr:"swepub:oai:slubar.slu.se:68565" > Accuracy of genome-...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004103naa a2200289 4500
001oai:slubar.slu.se:68565
003SwePub
008240410s2015 | |||||||||||000 ||eng|
024a https://res.slu.se/id/publ/685652 URI
024a https://doi.org/10.2527/jas.2015-91872 DOI
040 a (SwePub)slu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Hidalgo, Andréu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics,Wageningen University4 aut0 (Swepub:slu)96504
2451 0a Accuracy of genome-enabled prediction exploring purebred and crossbred pig populations
264 1b Oxford University Press (OUP),c 2015
264 1b American Society of Animal Science,c 2024
520 a Pig breeding companies keep relatively small populations of pure sire and dam lines that are selected to improve the performance of crossbred animals. This design of the pig breeding industry presents challenges to the implementation of genomic selection, which requires large data sets to obtain highly accurate genomic breeding values. The objective of this study was to evaluate the impact of different reference sets (across population and multipopulation) on the accuracy of genomic breeding values in 3 purebred pig populations and to assess the potential of using crossbreed performance in genomic prediction. Data consisted of phenotypes and genotypes on animals from 3 purebred populations (sire line [SL] 1, n = 1,146; SL2, n = 682; and SL3, n = 1,264) and 3 crossbred pig populations (Terminal cross [TER] 1, n = 183; TER2, n = 106; and TER3, n = 177). Animals were genotyped using the Illumina Porcine SNP60 Beadchip. For each purebred population, within-, across-, and multipopulation predictions were considered. In addition, data from the paternal purebred populations were used as a reference set to predict the performance of crossbred animals. Backfat thickness phenotypes were precorrected for fixed effects and subsequently included in the genomic BLUP model. A genomic relationship matrix that accounted for the differences in allele frequencies between lines was implemented. Accuracies of genomic EBV obtained within the 3 different sire lines varied considerably. For within-population prediction, SL1 showed higher values (0.80) than SL2 (0.61) and SL3 (0.67). Multipopulation predictions had accuracies similar to within-population accuracies for the validation in SL1. For SL2 and SL3, the accuracies of multipopulation prediction were similar to the within-population prediction when the reference set was composed by 900 animals (600 of the target line plus 300 of another line). For across-population predictions, the accuracy was mostly close to zero. The accuracies of predicting crossbreed performance were similar for the 3 different crossbred populations (ranging from 0.25 to 0.29). In summary, the differences in accuracy of the within-population scenarios may be due to line divergences in heritability and genetic architecture of the trait. Within- and multipopulation predictions yield similar accuracies. Across-population prediction accuracy was negligible. The moderate accuracy of prediction of crossbreed performance appears to be a result of the relationship between the crossbreed and its parental lines.
650 7a LANTBRUKSVETENSKAPERx Bioteknologi med applikationer på växter och djurx Genetik och förädling inom lantbruksvetenskap0 (SwePub)404022 hsv//swe
650 7a AGRICULTURAL SCIENCESx Agricultural Biotechnologyx Genetics and Breeding in Agricultural Sciences0 (SwePub)404022 hsv//eng
710a Sveriges lantbruksuniversitetb Institutionen för husdjursgenetik (HGEN)4 org
710a Sveriges lantbruksuniversitet
773t Journal of Animal Scienced : Oxford University Press (OUP)g 93, s. 4684-4691q 93<4684-4691x 0021-8812x 1525-3163
8564 8u https://res.slu.se/id/publ/68565
8564 8u https://doi.org/10.2527/jas.2015-9187

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