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View article: Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model
Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model Open
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 head…
View article: Predicting biomass of rice with intermediate traits: Modeling method combining crop growth models and genomic prediction models
Predicting biomass of rice with intermediate traits: Modeling method combining crop growth models and genomic prediction models Open
Genomic prediction (GP) is expected to become a powerful technology for accelerating the genetic improvement of complex crop traits. Several GP models have been proposed to enhance their applications in plant breeding, including environmen…