Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy.
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| Title: | Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy. |
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| Authors: | Tayeh N; INRA, UMR1347 Agroécologie Dijon, France., Klein A; INRA, UMR1347 Agroécologie Dijon, France., Le Paslier MC; INRA, US1279 Etude du Polymorphisme des Génomes Végétaux, CEA-IG/Centre National de Génotypage Evry, France., Jacquin F; INRA, UMR1347 Agroécologie Dijon, France., Houtin H; INRA, UMR1347 Agroécologie Dijon, France., Rond C; INRA, UMR1347 Agroécologie Dijon, France., Chabert-Martinello M; INRA, UMR1347 Agroécologie Dijon, France., Magnin-Robert JB; INRA, UMR1347 Agroécologie Dijon, France., Marget P; INRA, UMR1347 Agroécologie Dijon, France., Aubert G; INRA, UMR1347 Agroécologie Dijon, France., Burstin J; INRA, UMR1347 Agroécologie Dijon, France. |
| Source: | Frontiers in plant science [Front Plant Sci] 2015 Nov 17; Vol. 6, pp. 941. Date of Electronic Publication: 2015 Nov 17 (Print Publication: 2015). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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