薏苡种质资源苗期抗旱性鉴定及抗旱指标筛选

doi:10.3864/j.issn.0578-1752.2017.15.003

Abstract

Abstract: 【Objective】Drought is the important abiotic stress factor for Job’s tears production. Drought resistance identification, indices determination, and germplasms screening of Job’s tears germplasm resources are important for Job’s tears industrial development.【Method】The seedling drought survival rate, plant height, culm diameter, leaf length, leaf width, shoot fresh weight, shoot dry weight, root length, root diameter, root fresh weight, and root dry weight of 50 Job’s tears germplasms were measured at the normal water supply and repeated drought treatments in pot experiments in rainprotection shed. Drought resistance comprehensive evaluation value (D value), comprehensive drought resistance coefficient (CDC value), weight drought resistance coefficient (WDC value), correlation analysis, frequency analysis, principal component analysis, grey relational analysis, subordinate function analysis, clustering analysis, and stepwise regression analysis were used to identify the drought resistance and screen drought resistance indices of tested Job’s tears germplasms at seedling stage.【Result】Drought stress had significant effects on all indices. Correlation analysis showed that the seedling drought survival rate was significantly and positively correlated with culm diameter, leaf width, root diameter, leaf length, shoot fresh weight, shoot dry weight, root length, root fresh weight, and root dry weight, but not with plant height. Frequency analysis showed that the sensitive degrees of all indices response to drought stress in turn for root dry weight, root fresh weight, leaf width, root diameter, leaf length, seedling drought survival rate, shoot dry weight, culm diameter, shoot fresh weight, leaf length, and plant height. Principal component analysis showed that 6 principal components could represent 91.40% of the original data information of Job’s tears drought resistance. The ranks of drought resistance of tested Job’s tears germplasms based on the D value, CDC value, and WDC value were similar. Grey relational analysis showed that the correlation degree between DC value of all indices and D value in turn for root dry weight, leaf width, root fresh weight, culm diameter, root diameter, seedling drought survival rate, root length, plant height, shoot fresh weight, shoot dry weight, and leaf length, which was similar to the correlation degree between DC value of all indices and WDC value. According to D value clustering analysis, tested Job’s tears germplasms were divided into 5 drought resistance grades, 3 belonged to grade I, 17 belonged to grade II, 9 belonged to grade III, 20 belonged to grade IV, and 1 belonged to grade V. The subordinate function values of tested indices except for leaf length, shoot fresh weight, shoot dry weight and root dry weight, CDC value, D value, and WDC value were increased with increase of drought resistance grades. Stepwise regression analysis showed that the seedling drought survival rate, plant height, leaf width, root length, and root fresh weight were closely related to the D value.【Conclusion】yy18-1, yy14-3, and yy13-1 were identified as drought resistance Job’s tears germplasms at seedling stage, which could be used as materials for the researches on cultivar breeding, mechanism, and regulation and alleviation mechanism of drought resistance in Job’s tears. The seedling drought survival rate, plant height, leaf width, root length, and root fresh weight could be used as the simple and intuitive identification indices of drought resistance in Job’s tears germplasm resources at seedling stage.

Key words: Job’s tears (Coxi lacryma-jobi L.), drought resistance at seedling stage, drought resistance indices, comprehensive evaluation

WANG Can, ZHOU LingBo, ZHANG GuoBing, ZHANG LiYi, XU Yan1, GAO Xu, JIANG Ne, SHAO MingBo. Drought Resistance Identification and Drought Resistance Indices Screening of Job’s Tears (Coxi lacryma-jobi L.) Germplasm Resources at Seedling Stage[J].Scientia Agricultura Sinica, 2017, 50(15): 2872-2887.

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