Malaysian Agricultural Research and Development Institute

Benchmarking ensemble and deep learning models for drought-responsive gene prioritisation in rice using multi-omics data

Identifying drought-responsive genes is critical for climate-resilient crop breeding, yet computational gene–trait association often relies on single-omics or generalized genomic datasets. Optimal algorithm selection for high-dimensional, small multi-omics datasets also remains a...

Environmental awareness among paddy farmers of ecologically friendly and sustainable agriculture practices

Purpose Sustainable agricultural practices (SAPs) are gaining increasing attention in Malaysia's rice farming sector due to their importance in environmental conservation. Enhancing farmers' environmental awareness is considered essential for promoting SAP adoption. This study ex...