| Drought resistance evaluation of rice at full heading period based on nonlinear principal component analysis in cold region |
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| DOI：10.7606/j.issn.1000-7601.2020.02.29 |
| Key Words: drought resistance evaluation rice heading stage photosynthesis growth and metabolism logarithmic principal component analysis cold region |
| Author Name | Affiliation | | LI Hongyu | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | ZHANG Gongliang | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | NIU Tongxu | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | LI Yi | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | LIU Menghong | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China | | ZHENG Guiping | College of Agriculture, Heilongjiang Bayi Agricultural University, Heilongjiang Provincial Key Laboratory of Modern Agricultural Cultivation and Crop Germplasm Improvement, Daqing, Heilongjiang 163319, China |
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| Abstract: |
| In order to identify the drought resistance of rice at full heading stage under the condition of drought in the whole growth period in cold region and screen the suitable indexes for drought resistance identification, 17 characters at full heading stage, such as wound flow, dry matter quantity, and high efficiency leaf area, and so on, were used as indexes to evaluate drought resistance of 12 rice germplasm resources in cold region by logarithmic principal component analysis. The results showed that the drought resistance coefficients of 17 individual indexes were transformed into 5 independent comprehensive indexes by logarithmic principal component analysis, and the cumulative contribution rate reached 83.829%. According to the Sf value of drought resistance comprehensive evaluation, 12 materials were divided into three groups, the first group included Qijing 10, DPB120, and DPB15 with the Sf value ranging from 0.548 to 0.609, which belonged to drought sensitive type. The second group included Kendao 24, DPB71, Suiyu 117463, Suiyu 118146, and Suijing 21 with the Sf value between 0.660 and 0.764, belonging to moderate drought resistance type. The DPB70, Suidao 3, DPB112, and Yingdao 2 belonged to the third group, with the Sf value ranging from 0.859 to 0.872, which belonged to strong drought resistance type. Based on the grey correlation coefficient and identification efficiency, the effective leaf area, high efficiency leaf area, dry matter quantity, and the spikelet number of main spike were determined as the identification indexes of drought resistance at full heading stage of cold rice under the condition of drought in the whole growth period. |
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