ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025
Accelerated breeding modernization: a global blueprint for driving genetic gains, climate resilience, and food security in rice.
Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Artificial intelligence-driven advancements in agricultural biotechnology.Journal, genetic engineering & biotechnology · 2026Review
- Integrating genomic selection into potato breeding: A comparison of genotyping platforms and cross-environmental predictions.The plant genome · 2026Article
- Review
- Efficiency of indirect selection in sorghum breeding for target production environments in moisture deficit areas of Ethiopia.Scientific reports · 2026Article
- Development of disease-resistant, stable high-yielding, and high-quality rice variety "Yunjing-60" through double-cropping acceleration and intensive multi-environment selection in mid-altitude regions.BMC plant biology · 2026Article
- Combining ability and molecular marker approach for developing early maturing high yielding hybrid rice.Scientific reports · 2026Article
- Next-Generation Genotyping: Innovations Driving Plant Genomic Improvement.Life (Basel, Switzerland) · 2026Review
- Rice spikelet flowering-state detection based on an improved YOLOv11n model.Frontiers in plant science · 2026Article
- A unified global costing framework catalyzes strategic investment in rice breeding.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
key messageABM-BOx is a mission-critical transformation engine, built to fast-track genetic gains, boost climate resilience, and modernize outdated breeding programs into agile, data-driven, demand-responsive innovation platforms setting a global benchmark. Rice plays a central role in global food security as climate threats continue to rise. Fast-tracking genetic gains and developing climate-resilient, market-preferred varieties require a bold, system-wide transformation of rice breeding practices worldwide. Baseline diagnostics of more than 25 national rice breeding programs across the Global South revealed critical bottlenecks: obsolete breeding strategy and scheme, fragmented workflows, limited technology access, and poor integration of seed system. This highlights the urgent need of breeding modernization to tackle rising food security risks. We introduce Accelerated Breeding Modernization-Breeding and Operational Excellence (ABM-BOx), a globally scalable framework to transform rice breeding programs into modern, data-driven, impact-oriented systems. ABM-BOx operationalizes a paradigm shift by translating the breeder's equation into real-world impact through two synergistic engines: Breeding Excellence (BE) and Operational Excellence (OE). BE focuses on enhancing genetic gains through demand-driven breeding, strategic parental selection, recurrent population breeding, simulation-driven breeding scheme optimization, genomic selection, and predictive breeding. These strategies increase selection intensity, selection accuracy and shorten the breeding cycle. OE ensures speed, efficiency, and scalability through speed breeding-field based platforms, smart breeding-digital tools, breeding informatics-AI-powered decision tools, strategic costing-optimizing investments, and resilient seed systems. Additionally, Capacity Reinforcement and Functional Transformation-Accelerated Breeding Modernization (CRaFT-ABM) strengthens institutional capacity by focusing on talent, infrastructure, governance, and networks. More than a framework, ABM-BOx is a mission-critical transformation engine that drives innovation, speed, and impact to empower rice breeding efforts globally.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.