[HTML][HTML] Effect of trait heritability, training population size and marker density on genomic prediction accuracy estimation in 22 bi-parental tropical maize populations

A Zhang, H Wang, Y Beyene, K Semagn… - Frontiers in Plant …, 2017 - frontiersin.org
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

[引用][C] Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations

A Zhang, H Wang, Y Beyene, K Semagn, Y Liu… - Frontiers in Plant …, 2017 - cir.nii.ac.jp
Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction
Accuracy Estimation in 22 bi-parental Tropical Maize Populations | CiNii Research CiNii 国立 …

Effect of trait heritability, training population size and marker density on genomic prediction accuracy estimation in 22 bi-parental tropical maize populations

A Zhang, H Wang, Y Beyene, K Semagn, Y Liu, S Cao… - sidalc.net
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

Effect of trait heritability, training population size and marker density on genomic prediction accuracy estimation in 22 bi-parental tropical maize populations.

ZA Zhang Ao, WHW Wang HongWu, Y Beyene… - 2017 - cabidigitallibrary.org
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

[PDF][PDF] Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations

A Zhang, H Wang, Y Beyene, K Semagn, Y Liu, S Cao… - academia.edu
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations

A Zhang, H Wang, Y Beyene… - Frontiers in plant …, 2017 - pubmed.ncbi.nlm.nih.gov
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations.

A Zhang, H Wang, Y Beyene, K Semagn… - Frontiers in Plant …, 2017 - europepmc.org
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

[HTML][HTML] Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize …

A Zhang, H Wang, Y Beyene, K Semagn… - Frontiers in Plant …, 2017 - ncbi.nlm.nih.gov
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations.

A Zhang, H Wang, Y Beyene, K Semagn… - Frontiers in Plant …, 2017 - europepmc.org
Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …

[引用][C] Effect of trait heritability, training population size and marker density on genomic prediction accuracy estimation in 22 bi-parental tropical maize populations

A Zhang, H Wang, Y Beyene, FK Semagn, Y Liu, S Cao… - 2017 - Frontiers