Time‐series multispectral imaging in soybean for improving biomass and genomic prediction accuracy-Reference-Cited by-同舟云学术

Time‐series multispectral imaging in soybean for improving biomass and genomic prediction accuracy

Published:2022-08-22 Issue:4 Volume:15 Page:
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:The Plant Genome

Author:

Sakurai Kengo¹^ORCID,Toda Yusuke¹^ORCID,Kajiya‐Kanegae Hiromi¹^ORCID,Ohmori Yoshihiro¹^ORCID,Yamasaki Yuji²^ORCID,Takahashi Hirokazu³^ORCID,Takanashi Hideki¹^ORCID,Tsuda Mai⁴^ORCID,Tsujimoto Hisashi²^ORCID,Kaga Akito⁵^ORCID,Nakazono Mikio³^ORCID,Fujiwara Toru¹^ORCID,Iwata Hiroyoshi¹^ORCID

Affiliation:

1. Graduate School of Agricultural and Life Sciences Univ. of Tokyo Tokyo Japan

2. Arid Land Research Center Tottori Univ. Tottori Japan

3. Graduate School of Bioagricultural Sciences Nagoya Univ. Nagoya Japan

4. Faculty of Life and Environmental Sciences, Tsukuba Plant Innovation Research Center Univ. of Tsukuba Tsukuba Japan

5. Soybean and Field Crop Applied Genomics Research Unit, Institute of Crop Science National Agriculture and Food Research Organization Tsukuba Japan

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tpg2.20244