Genomic Selection for growth traits in Eucalyptus: accuracy within and across breeding populations
نویسندگان
چکیده
منابع مشابه
Genomic Selection for growth traits in Eucalyptus: accuracy within and across breeding populations
Background Genomic selection (GS) involves selection decisions based on genomic breeding values estimated as the sum of the effects of genome-wide markers capturing most QTLs for the target trait(s). GS is revolutionizing breeding practice for complex trait in domestic animals. The same approach and concepts can be readily applied to forest tree breeding. Trees also have long generation times a...
متن کاملGenomic Selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip
University of Brasília, Molecular Biology Program, Campus Darcy Ribeiro, 70910-900, Brasília, DF, Brazil ([email protected]). EMBRAPA Genetic Resources and Biotechnology, Estação Parque Biológico, 70770910, Brasília, DF, Brazil ([email protected]). University of Florida, School of Forest Resources and Conservation, Forest Genomics Laboratory, 32611, Gainesville, FL, USA (mkirst@uf...
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Genomic prediction utilizes single nucleotide polymorphism (SNP) chip data to predict animal genetic merit. It has the advantage of potentially capturing the effects of the majority of loci that contribute to genetic variation in a trait, even when the effects of the individual loci are very small. To implement genomic prediction, marker effects are estimated with a training set, including indi...
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Genomic selection (GS) is a promising strategy for enhancing genetic gain. We investigated the accuracy of genomic estimated breeding values (GEBV) in four inter-related synthetic populations that underwent several cycles of recurrent selection in an upland rice-breeding program. A total of 343 S2:4 lines extracted from those populations were phenotyped for flowering time, plant height, grain y...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2011
ISSN: 1753-6561
DOI: 10.1186/1753-6561-5-s7-o16