Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model
Accurate prediction of heading date under various environmental conditions is expected to facilitate the decision-making process in cultivation management and the breeding process of new cultivars adaptable to the environment. Days to heading (DTH) is a complex trait known to be controlled by multip...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
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Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2020.599510/full |