Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy-Reference-Cited by-同舟云学术

Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy

Published:2015-11-17 Issue: Volume:6 Page:
ISSN:1664-462X
Container-title:Frontiers in Plant Science
language:
Short-container-title:Front. Plant Sci.

Author:

Tayeh Nadim,Klein Anthony,Le Paslier Marie-Christine,Jacquin Françoise,Houtin Hervé,Rond Céline,Chabert-Martinello Marianne,Magnin-Robert Jean-Bernard,Marget Pascal,Aubert Grégoire,Burstin Judith

Funder

Agence Nationale de la Recherche

Publisher

Frontiers Media SA

Subject

Plant Science

Reference32 articles.

1. Genomics-assisted breeding in four major pulse crops of developing countries: present status and prospects;Bohra;Theor. Appl. Genet.,2014

2. Improving protein content and nutrition quality;Burstin,2011

3. Genetic diversity and trait genomic prediction in a pea diversity panel;Burstin;BMC Genomics,2015

4. Network: a package for managing relational data in R;Butts;J. Stat. Softw.,2008

5. Genome-wide prediction of three important traits in bread wheat;Charmet;Mol. Breed.,2014

Cited by 86 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genomic prediction for rust resistance in pea;Frontiers in Plant Science;2024-07-23

2. Effective population size in field pea;BMC Genomics;2024-07-16

3. Genomic selection in plant breeding: Key factors shaping two decades of progress;Molecular Plant;2024-04

4. Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity;Plants;2024-03-28

5. Maximizing efficiency in sunflower breeding through historical data optimization;Plant Methods;2024-03-16