2020
DOI: 10.1093/jas/skaa101
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Current status of genomic evaluation

Abstract: Early application of genomic selection relied on SNP estimation with phenotypes or de-regressed proofs (DRP). Chips of 50k SNP seemed sufficient for an accurate estimation of SNP effects. Genomic estimated breeding values (GEBV) were composed of an index with parent average, direct genomic value, and deduction of a parental index to eliminate double counting. Use of SNP selection or weighting increased accuracy with small data sets but had minimal to no impact with large data sets. Efforts to include potential… Show more

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Cited by 118 publications
(92 citation statements)
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“…Thus, TGRMs can be constructed from marker effects for these derived phenotypes. A second limitation of our approach, which is shared with other BLUP methods, is that computations and storage of TGRM many be unfeasible with very large populations (>100k individuals) (Aguilar et al, 2011 ; Misztal et al, 2020 ). The storage of GRMs scale quadratically with the number of individuals, and inversion of GRMs increase cubically.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, TGRMs can be constructed from marker effects for these derived phenotypes. A second limitation of our approach, which is shared with other BLUP methods, is that computations and storage of TGRM many be unfeasible with very large populations (>100k individuals) (Aguilar et al, 2011 ; Misztal et al, 2020 ). The storage of GRMs scale quadratically with the number of individuals, and inversion of GRMs increase cubically.…”
Section: Discussionmentioning
confidence: 99%
“…In Angus beef cattle populations, the number of independent chromosome segments ranges from 10 to 15k ( Pocrnic et al, 2016a ). Given two populations with the same number of genotyped animals and phenotypes, the one with smaller would yield genomic predictions of greater accuracy because a lower number of independent chromosome segments would need to be estimated ( Misztal et al, 2020a ).…”
Section: Introductionmentioning
confidence: 99%
“… Sullivan (1995) suggested the importance of the inclusion of genetic groups in EBV estimation and that data should not be discarded due to the uncertainty of the paternities. Surely, the problem of uncertain paternities might possibly be mitigated by the use of genomic selection ( Abdel-Shafy et al, 2020 ; Macedo et al, 2020 ; Misztal et al, 2020 ), however, the genotyping of all animals in a herd might still be too expensive. In the case of IMB, the use of GG is a practical and no cost solution to integrate all the available information into the genetic evaluations process eventually not compromising the accuracy of the results.…”
Section: Discussionmentioning
confidence: 99%
“…The implementation of new technologies such as high-throughput single-nucleotide polymorphism (SNP) genotyping will certainly solve most of the problems linked to uncertain paternity but this is true only for individuals who are still alive or whose biological samples are available. Moreover, although genomics is the new standard in breeding and genetics, there are still some problems that need to be solved regarding how to cope with missing pedigree information ( Tonussi et al, 2017 ; Misztal et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%