选择(遗传算法)
人口
农业
气候变化
植物生长
人口增长
生物技术
生物
地理
计算机科学
生态学
农学
人工智能
社会学
人口学
作者
Gean Carlo Ciprian-Salcedo,Jorge Jiménez-Dávalos,Gastón Zolla
出处
期刊:Revista Peruana de Biología
[Universidad Nacional Mayor de San Marcos, Vicerectorado de Investigacion]
日期:2020-03-04
卷期号:27 (1): 079-084
被引量:5
标识
DOI:10.15381/rpb.v27i1.17583
摘要
Population growth, climate change and global warming are the great challenges facing agriculture in the 21st century. Therefore, it is necessary to increase the efficiency of selection of new varieties in plant breeding programs. In this regard, flow cytometry has proven to be a very powerful tool to speed-up selection processes in plant breeding because of its versatility and capacity to evaluate large populations.
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