Kaur Vikender, Aravind J, Jacob Sherry R, Kumari Jyoti, Panwar Bhopal S, Pal Narendra, Rana Jai C, Pandey Anjula, Kumar Ashok
National Bureau of Plant Genetic Resources (ICAR), New Delhi, India.
Department of Botany, Baba Mast Nath University, Rohtak, India.
Front Plant Sci. 2022 Feb 24;13:771920. doi: 10.3389/fpls.2022.771920. eCollection 2022.
The entire collection of cultivated barley germplasm accessions conserved in the Indian National Genebank (INGB) was characterized for nine qualitative and 8 quantitative traits to assess the nature and magnitude of prevailing genetic variability and to develop a core set. A wide range of variability was observed for days to spike emergence (51-139 days), days to physiological maturity (100-152 days), plant height (45.96-171.32 cm), spike length (3.44-13.73 cm), grain number/spike (10.48-82.35), and 100-grain weight (1.20-6.86 g). Initially, seven independent core sets were derived using 3 core construction tools- MSTRAT, PowerCore, and Core Hunter 3 by employing the maximization method, heuristic sampling, and optimisation of average genetic distances, respectively. The core set-3 generated by Core Hunter 3 by simultaneous optimisation of diversity and representativeness, captured maximum genetic diversity of the whole collection as evident from the desirable genetic distance, variance difference percentage (VD; 87.5%), coincidence rate of range (CR; 94.27%) and variable rate of coefficient of variance (VR; 113.8%), which were more than threshold value of VD (80%), CR (80%), and VR (100%) required for good core collection. The coefficient of variation and Shannon-Weaver diversity indices were increased in the core set as compared with the whole collection. The low value of Kullback-Leibler distance (0.024-0.071) for all traits and quantile-quantile plots revealed a negligible difference between trait distribution patterns among the core set and entire assembly. Correlogram revealed that trait associations and their magnitude were conserved for most of the traits after sampling of the core set. The extraction of the INGB barley core set and identification of promising accessions for agronomically important traits in different genetic backgrounds will pave the way for expedited access to genetically diverse and agronomically important germplasm for barley breeding.
对保存在印度国家基因库(INGB)中的所有栽培大麦种质资源进行了9个质量性状和8个数量性状的鉴定,以评估现有遗传变异的性质和程度,并构建一个核心种质库。在抽穗天数(51 - 139天)、生理成熟天数(100 - 152天)、株高(45.96 - 171.32厘米)、穗长(3.44 - 13.73厘米)、每穗粒数(10.48 - 82.35)和百粒重(1.20 - 6.86克)方面观察到了广泛的变异。最初,分别使用3种核心构建工具——MSTRAT、PowerCore和Core Hunter 3,通过最大化方法、启发式抽样和平均遗传距离优化,得到了7个独立的核心种质库。Core Hunter 3通过同时优化多样性和代表性生成的核心种质库3,从理想的遗传距离、方差差异百分比(VD;87.5%)、范围符合率(CR;94.27%)和变异系数可变率(VR;113.8%)可以明显看出,它捕获了整个种质库的最大遗传多样性,这些指标均超过了优质核心种质库所需的VD(80%)、CR(80%)和VR(100%)阈值。与整个种质库相比,核心种质库中的变异系数和香农 - 韦弗多样性指数有所增加。所有性状的库尔贝克 - 莱布勒距离值较低(0.024 - 0.071),以及分位数 - 分位数图表明,核心种质库和整个群体之间的性状分布模式差异可忽略不计。相关图显示,在核心种质库抽样后,大多数性状的性状关联及其程度得以保留。提取INGB大麦核心种质库并鉴定不同遗传背景下具有重要农艺性状的优良种质,将为大麦育种快速获取遗传多样且具有重要农艺价值的种质铺平道路。