Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
about
Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations.Development and evaluation of high-density Axiom® CicerSNP Array for high-resolution genetic mapping and breeding applications in chickpea.Investigating Drought Tolerance in Chickpea Using Genome-Wide Association Mapping and Genomic Selection Based on Whole-Genome Resequencing Data.Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea
P2860
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
description
2016 nî lūn-bûn
@nan
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
2016年论文
@zh
2016年论文
@zh-cn
name
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@en
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@nl
type
label
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@en
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@nl
prefLabel
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@en
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@nl
P2093
P2860
P50
P356
P1476
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
@en
P2093
Aaron Lorenz
Abhishek Rathore
Ankit Jain
Bharadwaj Chellapilla
John M Hickey
Jose Crossa
Muneendra K Singh
Roma R Das
Samineni Srinivasan
Shailesh Tripathi
P2860
P356
10.3389/FPLS.2016.01666
P577
2016-11-22T00:00:00Z