Integrating speed breeding and genomic tools to accelerate genetic gain in chilli (Capsicum annuum L.).

Leveraging genomic resources for precision breeding and trait improvement in chickpea (Cicer arietinum L.)

Faster, Smarter, Precise: Integrating Speed Breeding and CRISPR-Based New Genomic Techniques into the Conventional Field Crop Breeding Pipeline

This review evaluates SB against the conventional pedigree framework; synthesises validated environmental parameters and crop-specific protocols; synthesises validated environmental parameters and crop-specific protocols; and examines principal SB applications in hybridisation, genomic selection, disease-resistance scr...

Genetic breeding and multi-omics integration for alfalfa improvement from trait discovery to cultivar development

This review critically evaluates the transition from conventional phenotypic selection to data-driven breeding strategies, examining genomic selection (GS), genome-wide association studies (GWAS), multi-omics integration, CRISPR/Cas9 genome editing, and high-throughput phenotyping (HTP) within the context of polyploid...

Molecular Markers Associated with Genetic Diversity, Stress Tolerance, and Breeding Traits in Theobroma cacao: A Review

This comprehensive review demonstrates that shifting from reactive field evaluation to marker-driven, genomics-assisted precision design provides the definitive molecular framework required to engineer high-yielding, climate-resilient, and disease-proof cacao cultivars, thereby permanently safeguarding the long-term ec...

Speeding crop resilience: Accelerated breeding strategies for pulse crops

Pulses, including chickpea (Cicer arietinum L.), lentil (Lens culinaris Medik.), field pea (Pisum sativum L.), mungbean (Vigna radiata (L.) R. Wilczek) and pigeonpea (Cajanus cajan (L.) Huth), are major sources of plant protein, dietary fibre and essential micronutrients, for over one billion people worldwide. However,...

Genomic Selection Integrated with High-Throughput Phenotyping and Speed Breeding for Smart and Greener Rice (Oryza sativa) Improvement

This narrative review critically examines recent advances in genomic selection for rice and its integration with high-throughput genotyping, high-throughput phenotyping, machine learning, multi-environment prediction, and speed breeding.