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中国农学通报

中国农学通报 ›› 2022, Vol. 38 ›› Issue (6): 15-19.doi: 10.11924/j.issn.1000-6850.casb2021-0329

所属专题： 生物技术； 小麦

• 农学·农业基础科学 • 上一篇    下一篇

江苏省小麦参试品种（系）产量与产量构成因素分析

姚金保1,2(), 杨学明1, 周淼平1, 张鹏1,2   

  1. 1江苏省农业科学院粮食作物研究所,南京 210014
    2扬州大学江苏省粮食作物现代产业技术协同创新中心,江苏扬州 225009
  • 收稿日期:2021-03-30 修回日期:2021-07-08 出版日期:2022-02-25 发布日期:2022-03-16
  • 作者简介:姚金保,男,1962年出生,江苏常熟人,研究员,硕士,主要从事小麦遗传育种研究。通信地址:210014 南京市玄武区钟灵街50号 江苏省农业科学院粮食作物研究所,Tel:025-84390298,E-mail: yaojb@jaas.ac.cn。
  • 基金资助:
    江苏省农业重大新品种创制“抗赤霉病优质专用小麦新品种培育”(PZCZ201705);农业部现代农业产业技术体系“南京综合试验站”(CARS-03)

Analysis of Yield and Its Components of Wheat Varieties (Lines) in Jiangsu Province

YAO Jinbao1,2(), YANG Xueming1, ZHOU Miaoping1, ZHANG Peng1,2   

  1. 1Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014
    2Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu 225009
  • Received:2021-03-30 Revised:2021-07-08 Online:2022-02-25 Published:2022-03-16

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摘要：

旨在明确江苏淮南和淮北麦区小麦产量构成因素对产量影响的相对重要性,采用相关和通径分析法,对江苏省2019—2020年度预备试验101个小麦品种（系）的产量及其构成因素进行分析。结果表明,淮南和淮北小麦品种（系）的平均产量分别为7739.1 kg/hm2和8560.3 kg/hm2。相关分析表明,淮南小麦产量构成因素与产量均呈正相关,其中千粒重与产量呈极显著正相关;淮北小麦穗数与产量呈极显著正相关,穗粒数与产量呈显著负相关,千粒重与产量呈不显著正相关。偏相关分析表明,产量三因素与产量均呈极显著正相关,而三因素间均呈极显著负相关。通径分析表明,淮南以千粒重对产量的作用最大,淮北以穗数对产量的贡献最大。淮南小麦高产育种策略应重视穗重型品种选择,而淮北则应加强多穗型品种选择。

关键词: 小麦, 产量, 产量构成因素, 相关分析, 通径分析

Abstract:

The study aims to revealing the relative importance of the yield components affecting the wheat yield in Huainan and Huaibei area of Jiangsu Province. The yield and its components of 101 wheat varieties (lines) in the 2019-2020 preparatory test in the province were analyzed by correlation and path analysis. The results showed that the average yield of wheat varieties (lines) in Huainan and Huaibei area was 7739.1 kg/hm2 and 8560.3 kg/hm2, respectively. Correlation analysis showed that the yield components had positive correlation with the yield in the Huainan area, and 1000-grain weight was significantly and positively correlated with the yield. In the Huaibei area, the spike number was significantly and positively correlated with the yield, while grain number per spike was significantly and negatively correlated with the yield, and there was a no-significant positive correlation between 1000-grain weight and the yield. The partial correlation analysis showed that the three yield components had a significantly positive correlation with wheat yield, while there was a significantly negative correlation among the three components. Path analysis showed that 1000-grain weight had the greatest direct contribution to the yield in the Huainan area, and the spike number had the greatest contribution to the yield in the Huaibei area. The high yield breeding strategy of wheat in the Huainan area should pay attention to the selection of heavy spike varieties, while the selection of multi-spike varieties should be strengthened in the Huaibei area.

Key words: wheat, yield, yield components, correlation analysis, path analysis

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