Omics Cluster

The research cluster encompasses multiple domains: oil palm genomics for SNP markers and candidate genes, a targeted insecticide development, and high-yield peptide analysis with biomarker prediction. Automation for breeding selection using AI is also explored.

23

Researchers

RM 841 k

Funding

10 +

Publications

4

Projects

Genome

Genome-wide association study and genomics-assisted breeding for crucial agronomic trait in oil palm

The project focuses on the oil palm genome, aiming to discover SNP markers and genotype an oil mapping population. This involves DNA extraction from 100 oil palm individuals, phenotyping 16 agronomical traits, Illumina sequencing, genetic map construction, and QTL detection. The project also explores association mapping and identifies candidate genes related to important agronomic traits.

Project Leader

Prof. Dr. Ahmad Sofiman Othman

Universiti Sains Malaysia

Researcher

Dr. Amira Suriaty Yaakop

Universiti Sains Malaysia

Researcher

Dr. Lau Nyok Sean

Universiti Sains Malaysia

Researcher

Dr. Mohd Azinuddin Ahmad Mokhtar

FGV R&D

Researcher

Nurul Fatiha Farhana

FGV R&D

Researcher

Sharmilah A/P Vetaryan

FGV R&D

Crosses

A framework for the identification of the best crosses that produced high-yielding and stress tolerant crop using artificial intelligence techniques

The goal is to automate breeding selection through AI by predicting optimal crosses or individuals for the next generation based on phenotype data. The approaches include vertical (Selfing) and horizontal (Father x Mother) breeding predictions.

Project Leader

Assoc. Prof. Dr. Nurul Hashimah Ahamed Hassain Malim

Universiti Sains Malaysia

Researcher

Prof. Dr. Rosni Abdullah

Universiti Sains Malaysia

Researcher

Dr. Lau Nyok Sean

Universiti Sains Malaysia

Researcher

Dr. Amira Suriaty Yaakop

Universiti Sains Malaysia

Researcher

Dr. Hazrina Yusof Hamdani

Universiti Sains Malaysia

Researcher

Muhammad Farid Abdul Rahim

Universiti Sains Malaysia

Insecticide

Omics guided insecticide development for use in precision

The project develops a targeted insecticide against Rhynchophorus ferrugineus (RPW) while sparing Elaeidobius kamerunicus (EK). Objectives include identifying unique enzymes or pathways in RPW through omics, understanding inhibitor effects on all pathways, creating RPW-specific inhibitors, and testing their toxicity on both insects.