Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice-Reference-Cited by-同舟云学术

Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Published:2020-09-02 Issue:2 Volume:19 Page:261-272
ISSN:1467-7644
Container-title:Plant Biotechnology Journal
language:en
Short-container-title:Plant Biotechnology Journal

Author:

Xu Yang¹^ORCID,Zhao Yue¹,Wang Xin¹,Ma Ying¹,Li Pengcheng¹^ORCID,Yang Zefeng¹^ORCID,Zhang Xuecai²,Xu Chenwu¹^ORCID,Xu Shizhong³

Affiliation:

1. Jiangsu Key Laboratory of Crop Genetics and Physiology Key Laboratory of Plant Functional Genomics of Ministry of Education Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding Co‐Innovation Center for Modern Production Technology of Grain Crops Agricultural College of Yangzhou University Yangzhou China

2. International Maize and Wheat Improvement Center (CIMMYT) Mexico DF Mexico

3. Department of Botany and Plant Sciences University of California Riverside CA USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pbi.13458

Reference42 articles.

1. Integration of multi-omics data for prediction of phenotypic traits using random forest