Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize-Reference-Cited by-同舟云学术

Genome-wide identification of genes enabling accurate prediction of hybrid performance from parents across environments and populations for gene-based breeding in maize

Published:2022-11 Issue: Volume:324 Page:111424
ISSN:0168-9452
Container-title:Plant Science
language:en
Short-container-title:Plant Science

Author:

Zhang Meiping,Liu Yun-Hua,Wang Yinglei,Sze Sing-Hoi,Scheuring Chantel F.,Qi Xiaoli,Ekinci Ozge,Pekar Jacob,Murray Seth C.,Zhang Hong-Bin

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Genetics,General Medicine

Reference47 articles.

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2. Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize;Adak;Plant Genome,2021

3. Bayesian analysis and prediction of hybrid performance;Alves;Plant Methods,2019

4. Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci;Anderson;Plant Direct,2020

5. Whole-genome regression and prediction methods applied to plant and animal breeding;Campos;Genetics,2013

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