山西小麦地方品种成株期抗旱性综合评价
作者:
作者单位:

山西农业大学农业基因资源研究中心/农业农村部黄土高原作物基因资源与种质创制重点实验室/ 作物遗传与分子改良山西省重点实验室, 太原 030031

作者简介:

研究方向为小麦种质资源研究与利用,E-mail:liuxia1214lx@163.com

通讯作者:

穆志新,研究方向为作物种质资源研究,E-mail:muzx2008@sina.com

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基金项目:

山西农业大学科技创新提升工程项目(CXGC202446);中央引导地方科技发展资金(YDZJSX20231C011);山西青年基金项目(202203021212433);山西农业大学优秀博士启动项目(2023BQ96);山西省来晋工作奖励资金科研项目(SXBYKY2022089)


Comprehensive Evaluation on Drought Resistance of Wheat Landrace in Shanxi Province at Adult Stages
Author:
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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    摘要:

    干旱是影响小麦生长发育的主要因素之一,筛选抗旱性优异的小麦种质,对抗旱性研究及抗旱种质资源利用具有重要意义。本研究于2018-2021年对373份山西小麦地方品种连续开展3年的田间成株期抗旱性鉴定,设置正常灌溉和干旱胁迫2个处理,测定株高、单株穗数、穗粒数、每穗小穗数、穗长、穗下节长、千粒重及单株产量8个性状,采用综合抗旱系数(CDC, comprehensive drought resistance coefficient)、抗旱性度量值(D, drought resistance comprehensive evaluation value)、加权抗旱系数(WDC, weight drought resistance coefficient)、相关性分析、频次分析、主成分分析、灰色关联度分析、隶属函数分析、聚类分析和逐步回归分析相结合的方法进行抗旱性评价。结果表明,干旱胁迫处理下8个性状的测定值均较正常灌溉处理明显降低。相关性分析发现8个性状的抗旱系数间均呈现一定的相关性。主成分分析将8个性状指标转换成5个主成分,累计方差贡献率达84.6%。基于CDC值、WDC值和D值,山西小麦地方品种抗旱性排序基本一致。根据D值利用聚类分析将373份材料划分为5类。逐步回归分析表明,D值与7个性状均显著相关,是较为可靠的抗旱性鉴定指标,并筛选出19份山西小麦地方种质,为小麦抗旱育种提供材料及理论基础。

    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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引用本文

刘霞,雷梦林,王艳珍,等.山西小麦地方品种成株期抗旱性综合评价[J].植物遗传资源学报,2024,25(10):1648-1660.

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  • 收稿日期:2024-06-18
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  • 在线发布日期: 2024-10-09
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