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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Accuracy of genomic selection in European maize elite breeding populations
Theoretical and Applied Genetics, Volume 124, No. 4, Year 2012
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Description
Genomic selection is a promising breeding strategy for rapid improvement of complex traits. The objective of our study was to investigate the prediction accuracy of genomic breeding values through cross validation. The study was based on experimental data of six segregating populations from a half-diallel mating design with 788 testcross progenies from an elite maize breeding program. The plants were intensively phenotyped in multi-location field trials and fingerprinted with 960 SNP markers. We used random regression best linear unbiased prediction in combination with fivefold cross validation. The prediction accuracy across populations was higher for grain moisture (0. 90) than for grain yield (0. 58). The accuracy of genomic selection realized for grain yield corresponds to the precision of phenotyping at unreplicated field trials in 3-4 locations. As for maize up to three generations are feasible per year, selection gain per unit time is high and, consequently, genomic selection holds great promise for maize breeding programs. © 2011 Springer-Verlag.
Authors & Co-Authors
Zhao, Yusheng
Germany, Stuttgart
Universität Hohenheim
Gowda, Manje S.
Germany, Stuttgart
Universität Hohenheim
Würschum, Tobias
Germany, Stuttgart
Universität Hohenheim
Maurer, Hans Peter
Germany, Stuttgart
Universität Hohenheim
Longin, Carl Friedrich Horst
Germany, Stuttgart
Universität Hohenheim
Reif, Jochen C.
Germany, Stuttgart
Universität Hohenheim
Statistics
Citations: 206
Authors: 6
Affiliations: 2
Identifiers
Doi:
10.1007/s00122-011-1745-y
ISSN:
00405752