Examining the Impact of Gene-Based Breeding on Agriculture and Medicine

A research team has demonstrated that gene-based breeding (GBB) offers a transformative approach to advancing plant and animal breeding, showing remarkable predictability, speed, and cost-effectiveness. The review highlights GBB's impact on improving crop and livestock genetics, while also laying the foundation for molecular precision agriculture and medicine.

This strategic integration of genomics into breeding and health care could significantly improve the quality and efficiency of global food supplies and health services, marking a pivotal shift from traditional methods to more targeted, gene-based strategies.

Amid rapidly growing global populations and climate change, food production and security have emerged as critical global challenges. The dramatic shifts in climate, such as rising temperatures and unpredictable rainfall, are exacerbating these challenges, compelling the agricultural sector to innovate ways to sustain and increase food supply.

The consensus among researchers is that developing genetically improved crop varieties and livestock strains offers a sustainable solution. Various molecular techniques are pivotal, with GBB as particularly effective for developing new varieties with complete intellectual properties.

A study published in Tropical Plants extensively covers GBB, highlighting its transformative impact on the development of crop varieties and livestock strains.

GBB employs sophisticated artificial intelligence to optimize every phase of the breeding cycle—from parent selection through progeny evaluation—using genetic markers like SNPs and InDels to drive decision-making.

This approach has significantly outperformed traditional methods in terms of speed, accuracy, and cost efficiency. Particularly notable are the applications of GBB in cotton and maize, where it has been instrumental in enhancing fiber length and grain yield. In cotton, studies using GBB have achieved a prediction accuracy for fiber length of 0.83–0.86, correlating strongly with actual phenotypes and demonstrating superior performance over genomic selection methods.

Similarly, in maize, the integration of GBB has enabled the prediction of inbred line grain yields and F1 hybrid performance with high reliability, providing a substantial improvement over conventional selection methods.

This review also emphasizes the broader implications of GBB for molecular precision agriculture and medical science, suggesting that this technology could revolutionize fields beyond agriculture. For example, the potential for adapting these methodologies to human and veterinary medicine could lead to breakthroughs in genotypic medicine, offering more personalized and effective treatments based on genetic profiles.