Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions
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Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones.Molecular mapping and genomics of soybean seed protein: a review and perspective for the futureAssessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.
P2860
Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@ast
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@en
type
label
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@ast
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@en
prefLabel
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@ast
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@en
P2093
P2860
P356
P1433
P1476
Prospects of Genomic Predictio ...... ancing Selection of Accessions
@en
P2093
Aaron Lorenz
Diego Jarquin
James Specht
P2860
P304
P356
10.1534/G3.116.031443
P577
2016-05-31T00:00:00Z