数字农科院2.0

Soybean2035: A decadal vision for soybean functional genomics and breeding

文献类型： 外文期刊

作者： Zhixi Tian;Alexandre Lima Nepomuceno;Qingxin Song;Robert M. Stupar;Bin Liu;Fanjiang Kong;Jianxin Ma;Suk Ha Lee;Scott A. Jackson

作者机构：

关键词： artificial intelligence;functional genomics;molecular breeding;omics;soybean

期刊名称： Molecular Plant

ISSN： 1674-2052

年卷期： 2025 年 18 卷 2 期

页码：

收录情况： SCIE（2025版） ; ; CSCD（2025-2026年度） ; ; 科技核心（2024版）

摘要： Soybean, the fourth most important crop in the world, uniquely serves as a source of both plant oil and plant protein for the world's food and animal feed. Although soybean production has increased approximately 13-fold over the past 60 years, the continually growing global population necessitates further increases in soybean production. In the past, especially in the last decade, significant progress has been made in both functional genomics and molecular breeding. However, many more challenges should be overcome to meet the anticipated future demand. Here, we summarize past achievements in the areas of soybean omics, functional genomics, and molecular breeding. Furthermore, we analyze trends in these areas, including shortages and challenges, and propose new directions, potential approaches, and possible outputs toward 2035. Our views and perspectives provide insight into accelerating the development of elite soybean varieties to meet the increasing demands of soybean production.

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