新疆农业科学 ›› 2025, Vol. 62 ›› Issue (7): 1639-1647.DOI: 10.6048/j.issn.1001-4330.2025.07.009

• 粮食和经济作物专栏 • 上一篇    下一篇

294份芥菜型油菜种质资源全生育期抗旱性鉴定

罗玉涛1(), 侯献飞2, 顾元国2(), 李强2, 苗昊翠2, 贾东海2, 邓晓娟1()   

  1. 1.新疆农业大学农学院, 乌鲁木齐 830052
    2.新疆维吾尔自治区农业科学院作物研究所, 乌鲁木齐 830091
  • 收稿日期:2024-12-07 出版日期:2025-07-20 发布日期:2025-09-05
  • 通信作者: 邓晓娟(1984-),女,广西全州人,教授,博士,研究方向为作物遗传育种-种子活力,(E-mail)dengzj007@163.com;
    顾元国(1981-),男,新疆奇台人,副研究员,硕士,研究方向为油料作物遗传育种,(E-mail)86322533@qq.com
  • 作者简介:罗玉涛(1995-),男,新疆昌吉人,硕士,研究方向为油菜抗旱鉴定,(E-mail)928848945@qq.com
  • 基金资助:
    国家重大项目(2022ZD0401005);新疆维吾尔自治区油料产业技术体系(XJARS-05-03);新疆维吾尔自治区重大科技专项(2022A03004-4)

Evaluation of 294 varieties of brassica rapa cruciferae germplasm for drought resistance throughout the growing season

LUO Yutao1(), HOU Xianfei2, GU Yuanguo2(), LI Qiang2, MIAO Haocui2, JIA Donghai2, DENG Xiaojuan1()   

  1. 1. College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China
    2. Institute of Crops, Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi 830091, China
  • Received:2024-12-07 Published:2025-07-20 Online:2025-09-05
  • Supported by:
    National Major Project(2022ZD0401005);Oil Industry Technology System of Xinjiang Uygur Autonomous Region (XJARS 05-03);Major Science and Technology Project of Xinjiang Uygur Autonomous Region(2022A03004-4)

摘要:

【目的】干旱是影响新疆芥菜型油菜生产的主要因素之一,鉴定芥菜型油菜全生育期抗旱性,筛选抗旱性强的的芥菜型油菜种质资源,为油菜抗旱育种提供种质资源和理论依据。【方法】以294份芥菜型油菜种质为材料,于2022~2023年在新疆维吾尔自治区农业科学院乌鲁木齐试验站设置正常灌溉、复水、干旱3个处理,测定株高及单株产量,运用抗旱系数、平均隶属函数进行抗旱性鉴定及聚类分析。【结果】不同处理下测定指标差异较大。复水处理使油菜株高和单株产量在2022年和2023年分别下降了9.80%、10.09%和22.48%、39.19%;干旱处理则分别下降了21.05%、20.61%和39.82%、57.16%。不同处理下参试材料的抗旱能力存在显著差异。复水处理及干旱处理下DC>0.900的株高及单株产量的频率分别为54.42%、39.46%、18.71%和18.37%。将复水处理及干旱处理各划分为5个等级,即I级(强抗)、II级(抗)、III级(中抗)、IV级(较敏感)和V级(敏感),并建立芥菜型油菜全生育期多元性回归模型,复水处理:Y=0.500X1+0.499X2;干旱处理:Y=0.500X1+0.500X2【结论】筛选出CKH037、CKH087、CKH183、CKH189、CKH209和CKH282强抗品种6份。

关键词: 芥菜型油菜; 全生育期; 抗旱性; 抗旱系数; 隶属函数; 聚类分析

Abstract:

【Objective】 Drought is one of the main factors affecting the production of cultivated mustard rapeseed in Xinjiang. This project aims to identify the drought resistance of mustard rapeseed during the whole growth period and screen the materials with strong drought resistance, so as to provide germplasm resources and theoretical basis for drought resistance breeding. 【Methods】 In this study, 294 mustard rapeseed germlines were set up in Anningqu Experimental Base in Urumqi, Xinjiang in 2022-2023 under three treatments: normal irrigation, rewatering and drought. Plant height and yield per plant were measured. Drought resistance coefficient and average membership function were used for drought resistance identification and cluster analysis. 【Results】 Compared with total irrigation, the measurement indexes of different treatments were significantly different. The plant height and yield per plant decreased by 9.80% and 10.09% in 2022 and 19.35% and 38.07% in 2023, respectively. Drought treatment decreased by 21.05%, 20.61%, 39.82% and 57.16%, respectively. The frequencies of plant height and yield per plant with DC>0.900 under rehydration treatment and drought treatment were 54.42%, 46.26%, 18.71% and 18.37%, respectively. Furthermore, the comprehensive evaluation value of drought resistance of mustard rapeseed was calculated by means of average membership function standardization analysis, and cluster analysis was conducted on the tested varieties based on this value. Re-watering treatment and drought treatment were divided into 5 grades respectively, namely, I (strong resistance), II (resistance), III (medium resistance), IV (more sensitive) and V (sensitive). The regression model of the whole growth period of mustard rapeseed was established, and the rehydration treatment was as follows: Y=0.500X1+0.499X2; Drought treatment: Y=0.500X1+0.500X2 【Conclusion】 Six varieties CKH037, CKH087, CKH183, CKH189, CKH209 and CKH282 with strong resistance are selected through the identification of drought resistance.

Key words: Brassica napus; whole reproductive period; drought resistance; drought resistance coefficient; membership function; cluster analysis

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

出版单位:《新疆农业科学》编辑部
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