
Discover Agriculture, Год журнала: 2025, Номер 3(1)
Опубликована: Апрель 6, 2025
Язык: Английский
Discover Agriculture, Год журнала: 2025, Номер 3(1)
Опубликована: Апрель 6, 2025
Язык: Английский
Frontiers in Sustainable Food Systems, Год журнала: 2025, Номер 9
Опубликована: Март 3, 2025
Climate change together with Africa’s growing population, threaten food systems. Improving youth participation in agricultural research and innovation, especially the use of genome editing (GEd) technology, will help address this inequality ensure that Africa capitalizes on its to foster This policy brief explores how young scientists are promoting GEd for sustainable systems Africa. The made recommendations improve making processes tackling public scepticism promote adoption GEd. It concludes by calling African governments make a concerted effort well-informed, supported, actively involved advancement technology agriculture various anthropogenic factors, coupled rapidly pose significant threats sector. Challenges such as inadequate engagement research, lack funding modern infrastructure hinder continent’s ability achieve security. participation, particularly application is essential addressing these disparities ensuring leverages youthful demographic enhance pivotal role play highlights specific gaps, need increased investment state-of-the-art laboratories, incubators, mentorship programs, well financial assistance scholarships aspiring budding researchers. Furthermore, emphasizes importance involvement policy-making necessity facilitate By fostering an inclusive environment where well-informed engaged, can harness innovative potential drive advancements. call action prioritize support development homegrown contributing sustainability resilience across continent.
Язык: Английский
Процитировано
0Agronomy, Год журнала: 2025, Номер 15(3), С. 757 - 757
Опубликована: Март 20, 2025
This review discusses the potential of artificial intelligence (AI), particularly machine learning (ML) and its subset, deep (DL), in advancing genetic improvement Solanaceous crops. AI has emerged as a powerful solution to overcome limitations traditional breeding techniques, which often involve time-consuming, resource-intensive processes with limited predictive accuracy. Through advanced algorithms models, ML DL facilitate identification optimization key traits, including higher yield, improved quality, pest resistance, tolerance extreme climatic conditions. By integrating big data analytics omics, these methods enhance genomic selection (GS), support gene-editing technologies like CRISPR-Cas9, accelerate crop breeding, thus enabling development resilient adaptable highlights role improving Solanaceae crops, such tomato, potato, eggplant, pepper, aim developing novel varieties superior agronomic quality traits. Additionally, this study examines advantages AI-driven compared Solanaceae, emphasizing contribution agricultural resilience, food security, environmental sustainability.
Язык: Английский
Процитировано
0Discover Agriculture, Год журнала: 2025, Номер 3(1)
Опубликована: Апрель 6, 2025
Язык: Английский
Процитировано
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