Division of Crop Improvement, ICAR-Indian Institute of Pulses Research, Kanpur 208024, India.
Division of Genetics and Plant Breeding, Faculty of Agriculture (FoA), Wadura Campus, SKUAST-Kashmir, Sopore 193201, India.
Int J Mol Sci. 2021 Dec 30;23(1):399. doi: 10.3390/ijms23010399.
Cool season grain legumes occupy an important place among the agricultural crops and essentially provide multiple benefits including food supply, nutrition security, soil fertility improvement and revenue for farmers all over the world. However, owing to climate change, the average temperature is steadily rising, which negatively affects crop performance and limits their yield. Terminal heat stress that mainly occurred during grain development phases severely harms grain quality and weight in legumes adapted to the cool season, such as lentils, faba beans, chickpeas, field peas, etc. Although, traditional breeding approaches with advanced screening procedures have been employed to identify heat tolerant legume cultivars. Unfortunately, traditional breeding pipelines alone are no longer enough to meet global demands. Genomics-assisted interventions including new-generation sequencing technologies and genotyping platforms have facilitated the development of high-resolution molecular maps, QTL/gene discovery and marker-assisted introgression, thereby improving the efficiency in legumes breeding to develop stress-resilient varieties. Based on the current scenario, we attempted to review the intervention of genomics to decipher different components of tolerance to heat stress and future possibilities of using newly developed genomics-based interventions in cool season adapted grain legumes.
冷季粮食豆类作物在农作物中占有重要地位,它们为全世界的农民提供了多种益处,包括粮食供应、营养安全、土壤肥力的提高和收入。然而,由于气候变化,全球平均气温稳步上升,这对作物的表现产生了负面影响,限制了它们的产量。在适应冷季的豆类作物(如小扁豆、蚕豆、鹰嘴豆、野豌豆等)中,主要发生在籽粒发育阶段的终末热胁迫严重损害了豆类的籽粒品质和重量。尽管如此,已经采用了先进的筛选程序的传统育种方法来鉴定耐热豆类品种。不幸的是,仅依靠传统的育种途径已不足以满足全球的需求。包括新一代测序技术和基因分型平台在内的基因组辅助干预措施,促进了高分辨率分子图谱、数量性状基因座/基因的发现和标记辅助导入的发展,从而提高了豆类育种的效率,以开发抗逆品种。基于目前的情况,我们试图综述基因组学在解析耐热性不同组成部分方面的干预措施,以及在未来利用新开发的基于基因组学的干预措施在适应冷季的粮食豆类作物中的应用前景。