| Comprehensive identification and selection of drought resistance of 62 cotton varieties (lines) at cotton seedling stage |
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| DOI：10.7606/j.issn.1000-7601.2021.06.04 |
| Key Words: cotton drought resistance seedling stage factor analysis membership function method |
| Author Name | Affiliation | | HAN Yongliang | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | LI Shiyun | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | LU Zhengying | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | SUN Lu | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | YANG Yufeng | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | YIN Guo | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | LI Ping | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | CUI Hongyin | Handan Academy of Agriculture Science, Key Laboratory of Crop Hybrid Research and utilization in Hebei Province, Handan Key Laboratory of germplasm resources innovation and molecular assisted breeding, Handan, Hebei 056000, China | | CHANG Jinhua | Hebei Agricultural University, Baoding, Hebei 071001, China |
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| Abstract: |
| The purpose of this study was to study the adaptive response of different cotton varieties (lines) to drought induced osmotic stress at seedling stage. To improve selection of early generation of cotton drought resistance breeding, drought resistance of cotton varieties (lines) by multi index identification and comprehensive evaluation, morphological changes of plants and roots of drought tolerant materials, and drought sensitive materials at seedling stage were analyzed. The drought resistance of 62 upland cotton varieties (lines) at seedling stage was identified and selected by 15% PEG 6000 nutritive cube sand substrate culture method. 18 drought resistance related indexes, including plant morphology, root morphology and biomass, were measured under PEG (polyethylene glycol) stress and control conditions. The 18 drought resistance indexes at seedling stage were analyzed by factor analysis, membership function analysis and cluster analysis. The results showed that under 15% PEG 6000 (-0.4 MPa) stress, all the 18 indexes except root shoot ratio and root length were significantly lower than the control group, indicating that the growth of cotton seedling was inhibited by PEG 6000, and the inhibition degree of root was lower than that of aboveground plants. Six main factors were obtained through simplification of the factor analysis, include 16 indexes such as root projection area, root pixel area, root surface area and root volume, with contribution rates of 35.01%, 16.53%, 12.46%, 8.99%, 6.60% and 6.31%， respectively. The 16 indexes were used to analyze the membership function and correlation of 62 upland cotton new materials, and the average membership function value represented the drought resistance. The larger the average membership function value was, the stronger the drought resistance was. Combined with the results of variety cluster analysis, 7 relative drought resistant lines, 4 relative drought tolerant lines, and 6 drought sensitive lines were identified. The drought stress level for the rest of 45 lines was between drought tolerant and drought sensitive. |
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