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Home > Archive>Volume 25, Issue 10, 2024 >1648-1660. DOI:10.13430/j.cnki.jpgr.20240618002
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Comprehensive Evaluation on Drought Resistance of Wheat Landrace in Shanxi Province at Adult Stages
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Affiliation:

Center for Agricultural Genetic Resources Research， Shanxi Agricultural University/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess Plateau， Ministry of Agriculture and Rural Affairs /Key Laboratory of Crop Genetics and Molecular Improvement of Shanxi Province， Taiyuan 030031

Fund Project:

Foundation projects： Scientific and Technological Innovation Promotion Project of Shanxi Agricultural University （CXGC202446）； Central Guidance for Local Scientific and Technological Development Funds （YDZJSX20231C011）； Shanxi Province Youth Fund Project （202203021212433）； Outstanding Doctoral Initiation Program of Shanxi Agricultural University （2023BQ96）； Scientific Research Project of Shanxi Province Work Award Fund （SXBYKY2022089）

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    Abstract:

    Drought is one of the primary factors affecting the growth and development of wheat. The selection of wheat germplasm with superior drought resistance is significant important for drought resistance research and the utilization of drought-resistant resources. This study conducted a three-year field evaluation from 2018 to 2021 on 373 local wheat varieties from Shanxi province， assessing their drought resistance during the adult stage. Two treatments of normal irrigation and drought stress were set up， and eight traits including plant height， number of spikes per plant， number of grains per spike， number of spikelets per spike， spike length， length of the peduncle， thousand-kernel weight， and grain yield per plant were measured. The comprehensive drought resistance evaluation was conducted using a combination of methods， including the comprehensive drought resistance coefficient （CDC）， drought resistance comprehensive evaluation value （D）， weighted drought resistance coefficient （WDC）， correlation analysis， frequency analysis， principal component analysis （PCA）， grey relational analysis， membership function analysis， cluster analysis， and stepwise regression analysis. In the drought stress treatment， the values of all eight traits were significantly reduced compared to the normal irrigation treatment. Correlation analysis revealed a certain degree of correlation among the drought resistance coefficients of the eight traits. PCA transformed the eight traits into five principal components， with a cumulative variance contribution rate of 84.6%. The ranking of Shanxi wheat local varieties based on CDC values， WDC values， and D values was generally consistent. Using D values and cluster analysis， the 373 local wheat varieties from Shanxi were classified into five categories. Stepwise regression analysis showed that the D valuss is significantly correlated with seven traits and confirmed D values as suitable drought resistance evaluation indicators. And identified 19 strong drought-resistant local wheat germplasm varieties from Shanxi， providing both material and theoretical foundation for drought-resistant wheat breeding.

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History
  • Received:June 18,2024
  • Online: October 09,2024
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