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...
Enregistré dans:
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: | |
Accès en ligne: | https://doaj.org/article/48716f28681e4606a6dcf9146fada1d2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
An assessment of the unsustainable Nigerian policies on palm oil
par: Sani Shehu, et autres
Publié: (2021) -
Palms journal of the International Palm Society.
Publié: (1999) -
Rheological and Morphological Properties of Oil Palm Fiber-Reinforced Thermoplastic Composites for Fused Deposition Modeling (FDM)
par: Mohd Nazri Ahmad, et autres
Publié: (2021) -
Modified oil palm industry solid waste as a potential adsorbent for lead removal
par: Mohd Aidil Elias, et autres
Publié: (2021) -
Influence of Fresh Palm Fruit Sterilization in the Production of Carotenoid-Rich Virgin Palm Oil
par: Nik Suhaimi Mat Hassan, et autres
Publié: (2021)