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

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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
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
Online Access:https://doaj.org/article/48716f28681e4606a6dcf9146fada1d2
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https://doaj.org/article/48716f28681e4606a6dcf9146fada1d2

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