1.黑龙江八一农垦大学农学院;2.吉林省农业科学院/中国农业科技创新东北创新中心;3.中国农业科学院作物科学研究所/作物基因资源与育种全国重点实验室/农业农村部粮食作物基因资源评价利用重点实验室;4.中国农业科学院作物科学研究所
国家重点研发计划项目(2021YFD1200500);中国农业科学院科技创新工程;黑龙江省自然科学基金校(院)企合作项目
College of Agriculture, Heilongjiang Bayi Agricultural University
The National Key Research and Development Program of China (2021YFD1200500);The Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences;Heilongjiang Provincial Natural Science Foundation University (Institute) Enterprise Cooperation Project
为探究碱胁迫对粳稻品种叶片损伤和幼苗存活能力的影响,明确不同地理来源粳稻品种的耐碱性差异,本研究于2016~2017年在pH值约8.9的耐碱性鉴定池中,对437份粳稻种质资源进行连续2年的耐碱性重复鉴定,重点评价苗期死叶率和死苗率两项耐碱性指标。结果表明,随着碱胁迫处理时间的延长,粳稻苗期死叶率和死苗率呈逐步上升趋势,且不同粳稻品种间的耐碱性表现出显著差异;碱胁迫15~25 d为苗期耐碱性评价的关键时期,其中碱胁迫15 d时死叶率表型值、标准差及变异系数较高,碱胁迫25 d时死苗率表型值、标准差及变异系数较高。群体水平分析显示,粳稻耐碱性表现出一定的区域聚集特征,我国东北稻区黑龙江省和吉林省的粳稻品种整体死叶率和死苗率较低,苗期耐碱性较强。基于死叶率和死苗率的聚类结果表明,粳稻品种间的亲缘关系与材料来源地的地理距离与纬度分布有一定关联。本研究还鉴定出空育131、吉粳105等20份耐碱粳稻种质,为盐碱地粳稻品种改良提供了重要的材料支撑。
To investigate the effects of alkaline stress on leaf injury and seedling survival of japonica rice, and to clarify differences in alkaline tolerance among varieties from different geographic origins, a total of 437 japonica rice germplasm resources were evaluated for alkaline tolerance in an alkaline screening pool with a pH value of approximately 8.9 during 2016~2017, with repeated assessments conducted over two consecutive years. The dead leaf rate and dead seedling rate at the seedling stage were used as the primary indicators of alkaline tolerance. The results showed that both the dead leaf rate and dead seedling rate gradually increased with prolonged alkaline stress, and significant differences in alkaline tolerance were observed among different japonica varieties. The period of 15~25 days after alkaline stress treatment was identified as the critical stage for evaluating alkaline tolerance at the seedling stage, with higher phenotypic values, standard deviation, and coefficient of variation for dead leaf rate observed at 15 days, while those of dead seedling rate were higher at 25 days. Population-level analysis revealed a regional clustering pattern of alkaline tolerance, with japonica rice varieties from the northeastern rice-growing regions of China, particularly Heilongjiang and Jilin Provinces, showing lower dead leaf rate and dead seedling rates and thus stronger alkaline tolerance at the seedling stage. Cluster analysis based on dead leaf rate and dead seedling rate further indicated that the genetic relationships among japonica rice varieties were related to geographical distance and latitude distribution of their origins. Additionally, 20 alkaline-tolerant japonica rice germplasm accessions, including Kongyu 131 and Jijing 105, were identified, providing valuable genetic resources for the improvement of japonica rice varieties adapted to saline–alkaline soils.
