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...

Description complète

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	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
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	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
Accès en ligne:	https://doaj.org/article/48716f28681e4606a6dcf9146fada1d2
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Soyez le premier à ajouter un commentaire!

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

Documents similaires