中国农业科技导报 ›› 2020, Vol. 22 ›› Issue (3): 140-151.DOI: 10.13304/j.nykjdb.2019.0686

• 生物制造 资源生态 • 上一篇    下一篇

影响北方白菜型冬油菜主要农艺性状变异的气象因子分析

金姣姣1,侯献飞2,李强2,贾东海2,顾元国2,王轩1,曾瑞1,蒲媛媛1,武军艳1,方彦1,李学才1,马骊1,刘丽君1,孙万仓1*
  

  1. 1. 甘肃农业大学农学院,甘肃省干旱生境作物学重点实验室,甘肃省油菜工程技术研究中心,甘肃省作物遗传改良与种质创新重点实验室, 兰州 730070;2.新疆农业科学院经济作物研究所,乌鲁木齐 830091
  • 收稿日期:2019-08-26 出版日期:2020-03-15 发布日期:2019-11-14
  • 通讯作者: *通信作者 孙万仓Email:18293121851@163.com
  • 作者简介:金姣姣 Email:631981312@qq.com;
  • 基金资助:
    国家现代农业产业技术体系项目(CARS12); 国家自然科学基金项目(31860388); 973计划项目(2015CB150206); 863计划项目(2016YFD0101300); 甘肃省重大专项(17ZD2NA0164); 甘肃省现代农业产业技术体系项目(GARSTSZ1)。

Analysis of Meteorological Factors Influencing the Variation of Main Agronomic Traits of Northern Winter Rapeseed (Brassica rapa L.)

JIN Jiaojiao1, HOU Xianfei2, LI Qiang2, JIA Donghai2, GU Yuanguo2, WANG Xuan1, ZENG Rui1, PU Yuanyuan1, WU Junyan1, FANG Yan1, LI Xuecai1, MA Li1, LIU Lijun1, SUN Wancang1*
  

  1. 1. Gansu Provincial Key Laboratory of Arid Land Crop Sciences; Gansu Research Center of Rapeseed Engineering and Technology; Key Laboratory of Crop Genetics Improvement and Germplasm Enhancement of Gansu Province; College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China; 2. Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
  • Received:2019-08-26 Online:2020-03-15 Published:2019-11-14

摘要: 为探究影响北方冬油菜农艺性状的气象因子,以新疆自治区阿勒泰、乌鲁木齐和喀什为研究试点,选择陇油6号、陇油7号、陇油8号、天油2号、天油4号、天油7号共6个抗寒性不同的白菜型冬油菜品种为研究材料,采用适定性分析法和相关性分析法,研究气象因子对冬油菜的株高、主花序角果数、单株角果数、角粒数等农艺性状的影响。结果显示:随纬度降低越冬率增加,农艺性状变劣,其中千粒重、株高和角粒数变异系数较小,分别为5.86%、6.23%和12.63%,单株角果数的变异系数较大,为28.25%;参试品种间,强抗寒品种陇油6号和陇油7号的农艺性状变异系数较小,弱抗寒品种天油2号等变异系数较大;农艺性状与越冬率显著正相关(P<0.05),角粒数与各种气象因子的相关性均达显著水平(P<0.05);积雪天数、年降雨量和最大积雪厚度对农艺性状具有正效应,累积贡献率达到0.877,最冷月最低气温、地面极端低温、负积温和年均气温对农艺性状具有负效应,累积贡献率达到-0.871。因此,在北方寒区,选择强抗寒冬油菜品种有利于保持农艺性状稳定,获得较好产量与效益。

关键词: 白菜型冬油菜, 农艺性状, 气象因子

Abstract: In order to explore the meteorological factors affecting the agronomic characteristics of winter rape in northern China, three localities, including Altay, Urumqi and Kashgar in Xinjiang Autonomous region were selected; six cabbage winter rape varieties with different levels of cold resistance (Longyou 6, Longyou 7, Longyou 8, Tianyou 2, Tianyou 4 and Tianyou 7) were selected as research materials; and the methods of appropriateness analysis and correlation analysis were used. The effects of meteorological factors on agronomic characteristics, such as plant height, pod number of main inflorescence, pod number per plant and pod number of winter rape were studied. The results showed that with the decrease of latitude, overwintering rate increased, and agronomic characteristics became worse as well, in which the coefficients of variation of 1 000seed weight, plant height and pod number were 5.86%, 6.23% and 12.63%, respectively, and the coefficient of variation of pods per plant was 28.25%. Among the tested varieties, the coefficient of variation of agronomic characteristics of strong coldresistant varieties (Longyou 6 and Longyou 7) was smaller than that of other varieties, while that of weak coldresistant varieties Tianyou 2 was larger than that of other varieties. There was a significant positive correlation between agronomic traits and overwintering rate (P< 0.05), of which there was a significant correlation between pod number and meteorological factors (P< 0.05). Days of snow covered, annual rainfall and maximum snow thickness had positive effects on agronomic characteristics, and the cumulative contribution rate reached 0.877, while the lowest temperature in the coldest month, extreme low temperature on the ground, negative temperature and average annual temperature had negative effects on agronomic characteristics, and the cumulative contribution rate reached -0.871. Therefore, in northern cold region, the selection of winter rape varieties with strong cold resistance was beneficial to maintain the stability of agronomic characteristics and obtain better yield and economic benefit.

Key words: winter rapeseed (Brassica rapa L.), agronomic traits, meteorological factors