Comprehensive evaluation of drought resistance of 116 quinoa germplasm resources during germination
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DOI:10.7606/j.issn.1000-7601.2024.01.03
Key Words: quinoa  germplasm resources  germination period  drought resistance index  comprehensive evaluation
Author NameAffiliation
ZHU Lili Northwest Plateau Institute of Biology, Chinese Academy of Sciences, Xining, Qinghai 810008, China
College of Life Sciences, Chinese Academy of Sciences University, Beijing 100049, China 
ZHANG Fayu Haixi Farming and Animal Husbandry Technology Extension Service Center, Delingha, Qinghai 817099, China 
AN Ning Qinghai Province Crop Seed Station, Xining, Qinghai 810000, China
5. Key Laboratory of Plateau Biological Adaptation and Evolution, Chinese Academy of Sciences, Xining, Qinghai 810008, China 
CHEN Zhiguo Northwest Plateau Institute of Biology, Chinese Academy of Sciences, Xining, Qinghai 810008, China
Key Laboratory of Plateau Biological Adaptation and Evolution, Chinese Academy of Sciences, Xining, Qinghai 810008, China
Key Laboratory of Crop Molecular Breeding of Qinghai Province, Xining, Qinghai 810008China 
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Abstract:
      Different concentrations of PEG-6000 were used to simulate drought stress on 116 quinoa, including Black quinoa (black grain), Qinghaihong (red grain), Qaidam red (red grain), Snow quinoa (white grain) and Qingli 1(white grain) to determine the appropriate concentration for drought resistance identification during germination. Drought resistance of different types of quinoa germplasm resources during germination was identified. The drought resistance of quinoa cultivars was evaluated and classified by principal component analysis, membership function method and cluster analysis based on 8 indexes of germination stage, including germination rate, germination energy, germination index, vigor index, bud length, root length, fresh mass and drought tolerance index. The results showed that 20% PEG-6000 was the appropriate concentration for stress test. The drought resistance of 116 quinoa germplasm resources from different sources was identified by 20% PEG-6000 and the values of each index were determined. Then the weighted membership function values of different quinoa cultivars were calculated by principal component analysis and membership function method, and the drought resistance was ranked. The experimental materials were categorized into three groups using cluster analysis. Within the second group, the first subgroup (Ⅱ1) comprised 29 quinoa varieties exhibiting strong drought resistance. These varieties are recommended as basic materials for developing drought\|resistant strains in subsequent breeding efforts.