Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan

Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan

Abstract Genomic prediction is a promising strategy for enhancing crop breeding efficiency. Historical data of breeding and cultivation tests from geographically wide regions presumably contain rich information for training genomic prediction models. Therefore, it is essential to explore methodologi...

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Bibliographic Details
Main Authors: Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Rice
Subjects:
Rice
Genomic prediction
Heading date
Spatial effects
Online Access:https://doi.org/10.1186/s12284-025-00778-4
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https://doi.org/10.1186/s12284-025-00778-4

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