Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning

Oil palm is one of the main crops grown to help achieve sustainability in Malaysia. The selection of the best breeds will produce quality crops and increase crop yields. This study aimed to examine machine learning (ML) in oil palm breeding (OPB) using factors other than genetic data. A new conceptu...

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Autores principales:	Najihah Ahmad Latif, Fatini Nadhirah Mohd Nain, Nurul Hashimah Ahamed Hassain Malim, Rosni Abdullah, Muhammad Farid Abdul Rahim, Mohd Nasruddin Mohamad, Nurul Syafika Mohamad Fauzi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	oil palm breeding phenotype machine learning framework sustainable Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/48716f28681e4606a6dcf9146fada1d2
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Predicting Heritability of Oil Palm Breeding Using Phenotypic Traits and Machine Learning

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