Nepolean Thirunavukkarsau, Kaul Jyoti, Mukri Ganapati, Mittal Shikha
Maize Research Lab, Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Front Plant Sci. 2018 Apr 11;9:361. doi: 10.3389/fpls.2018.00361. eCollection 2018.
Breeding science has immensely contributed to the global food security. Several varieties and hybrids in different food crops including maize have been released through conventional breeding. The ever growing population, decreasing agricultural land, lowering water table, changing climate, and other variables pose tremendous challenge to the researchers to improve the production and productivity of food crops. Drought is one of the major problems to sustain and improve the productivity of food crops including maize in tropical and subtropical production systems. With advent of novel genomics and breeding tools, the way of doing breeding has been tremendously changed in the last two decades. Drought tolerance is a combination of several component traits with a quantitative mode of inheritance. Rapid DNA and RNA sequencing tools and high-throughput SNP genotyping techniques, trait mapping, functional characterization, genomic selection, rapid generation advancement, and other tools are now available to understand the genetics of drought tolerance and to accelerate the breeding cycle. Informatics play complementary role by managing the big-data generated from the large-scale genomics and breeding experiments. Genome editing is the latest technique to alter specific genes to improve the trait expression. Integration of novel genomics, next-generation breeding, and informatics tools will accelerate the stress breeding process and increase the genetic gain under different production systems.
育种科学为全球粮食安全做出了巨大贡献。通过传统育种已培育出包括玉米在内的多种不同粮食作物的品种和杂交种。人口不断增长、农业用地减少、地下水位下降、气候变化以及其他因素给研究人员提高粮食作物的产量和生产力带来了巨大挑战。干旱是维持和提高包括热带和亚热带生产系统中的玉米在内的粮食作物生产力的主要问题之一。随着新型基因组学和育种工具的出现,在过去二十年里,育种方式发生了巨大变化。耐旱性是多个组成性状的组合,具有数量遗传模式。现在有快速DNA和RNA测序工具、高通量SNP基因分型技术、性状定位、功能表征、基因组选择、快速世代推进等工具,可用于了解耐旱性的遗传学并加速育种周期。信息学通过管理大规模基因组学和育种实验产生的大数据发挥辅助作用。基因组编辑是改变特定基因以改善性状表达的最新技术。新型基因组学、下一代育种和信息学工具的整合将加速逆境育种进程,并在不同生产系统下增加遗传增益。