Association Studies and Genomic Prediction for Genetic Improvements in Agriculture
To feed the fast growing global population with sufficient food using limited global resources, it is urgent to develop and utilize cutting-edge technologies and improve efficiency of agricultural production. In this review, we specifically introduce the concepts, theories, methods, applications and...
Main Authors: | Qianqian Zhang, Qin Zhang, Just Jensen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-06-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.904230/full |
Similar Items
-
Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study
by: Minmin Li, et al.
Published: (2019-12-01) -
Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and agronomic traits under drought and optimum conditions in maize
by: Manigben Kulai Amadu, et al.
Published: (2025-02-01) -
Improving genomic prediction of vitamin C content in spinach using GWAS-derived markers
by: Jana Jeevan Rameneni, et al.
Published: (2025-02-01) -
Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm
by: Yubo Liu, et al.
Published: (2021-04-01) -
Winter hardiness of Miscanthus (III): Genome‐wide association and genomic prediction for overwintering ability in Miscanthus sinensis
by: Hongxu Dong, et al.
Published: (2019-08-01)