Genomic Selection for Yield and Seed Protein Content in Soybean: A Study of Breeding Program Data and Assessment of Prediction Accuracy
Author:
Affiliation:
1. LIPM; Univ. de Toulouse; INRA; CNRS; Castanet-Tolosan France
2. RAGT 2n; BP 3336 12033 Rodez France
3. Pathologie et Génétique Végétales (PPGV); Univ. de Toulouse, INP-PURPAN; Toulouse France
Funder
French region “Midi-Pyrénées.”
Publisher
Wiley
Subject
Agronomy and Crop Science
Link
http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2016.06.0496/fullpdf
Reference43 articles.
1. Association mapping and genomic prediction for resistance to sudden death syndrome in early maturing soybean germplasm;Bao;Mol. Breed.,2015
2. Comparison of three selection procedures for yield in soybeans;Boerma;Crop Sci.,1975
3. Complementary genetic and genomic approaches help characterize the linkage group I seed protein QTL in soybean;Bolon;BMC Plant Biol.,2010
4. Is the use of formulae a reliable way to predict the accuracy of genomic selection?;Brard;J. Anim. Breed. Genet.,2015
5. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering;Browning;Am. J. Hum. Genet.,2007
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