A multivariate partial least squares approach to joint association analysis for multiple correlated traits-Reference-Cited by-同舟云学术

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A multivariate partial least squares approach to joint association analysis for multiple correlated traits

Published:2016-02 Issue:1 Volume:4 Page:21-29
ISSN:2214-5141
Container-title:The Crop Journal
language:en
Short-container-title:The Crop Journal

Author:

Xu Yang,Hu Wenming,Yang Zefeng,Xu Chenwu

Funder

National Program on the Development of Basic Research

Priority Academic Program Development of Jiangsu Higher Education Institutions

National Natural Science Foundations

National High-tech R&D Program

Natural Science Foundations of Jiangsu Province

Natural Science Foundation of the Jiangsu Higher Education Institutions

Innovative Research Team of Universities in Jiangsu Province

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science

Reference48 articles.

1. Status and prospects of association mapping in plants;Zhu;Plant Genome,2008

2. Structure of linkage disequilibrium in plants;Flint-Garcia;Annu. Rev. Plant Biol.,2003

3. Linkage disequilibrium and association studies in higher plants: present status and future prospects;Gupta;Plant Mol. Biol.,2005

4. Dwarf8 polymorphisms associate with variation in flowering time;Thornsberry;Nat. Genet.,2001

5. A haplotype map of genomic variations and genome-wide association studies of agronomic traits in foxtail millet (Setaria italica);Jia;Nat. Genet.,2013

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2. Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments;Scientific Reports;2023-06-19

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