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中国农学通报

中国农学通报 ›› 2023, Vol. 39 ›› Issue (24): 13-17.doi: 10.11924/j.issn.1000-6850.casb2022-0631

• 农学·农业基础科学 • 上一篇    下一篇

江苏省粳稻品种产量构成因素及抗病性与产量的相关分析

陈伟1(), 宋锦花2(), 夏中华1, 金彦刚1, 刘海浪1, 卫万娟1, 赵其兵1, 任仰涛1, 杨永乐1, 常东伟1, 李珍富1, 张凡1, 郑雅月1, 谢梦苹1   

  1. 1 江苏瑞华农业科技有限公司/宿迁市作物分子育种重点实验室/宿迁市水稻商业化育种工程技术研究中心，江苏宿迁 223800
    2 江苏省种子管理站，南京 210003
  • 收稿日期:2022-07-28 修回日期:2023-03-15 出版日期:2023-08-25 发布日期:2023-08-23
  • 通讯作者: 宋锦花，女，1975年出生，江苏盐城人，推广研究员，硕士，主要从事农作物品种区试审定及农业植物新品种保护管理。通信地址：210036 南京市龙江小区农林大厦15楼 江苏省种子管理站品管科，Tel：025-86263525，E-mail：1095397928@qq.com。
  • 作者简介:

    陈伟，男，1990年出生，河南信阳人，农艺师，本科，主要从事水稻育种与栽培。通信地址：223800 宿迁市宿城区粮食物流园9号 江苏瑞华农业科技有限公司，Tel：0527-80600588，E-mail：。

  • 基金资助:
    江苏省种业振兴“揭榜挂帅”项目“基于分子设计的抗稻瘟病优质高产迟熟中粳新品种培育”(JBGS〔2021〕035); 宿迁市科技计划（创新能力建设计划）项目“宿迁市作物分子育种重点实验室”(M202204); 宿迁英才群英计划青年项目“优质抗病中粳稻资源创制与新品种选育”(2022QNXM-0035); 江苏省重点研发计划项目“抗病优质高效迟熟中粳新品种的精准设计与选育”(BE2021334)

Japonica Rice Varieties in Jiangsu Province: Yield Components Analysis and Correlation Analysis Between Disease Resistance and Yield

CHEN Wei1(), SONG Jinhua2(), XIA Zhonghua1, JIN Yangang1, LIU Hailang1, WEI Wanjuan1, ZHAO Qibing1, REN Yangtao1, YANG Yongle1, CHANG Dongwei1, LI Zhenfu1, ZHANG Fan1, ZHENG Yayue1, XIE Mengping1   

  1. 1 Jiangsu Ruihua Agricultural Technology Co., Ltd./Suqian Key Laboratory of Crop Molecular Breeding/Suqian Commercial Rice Breeding Engineering Technology Research Center, Suqian, Jiangsu 223800
    2 Jiangsu Seed Management Station, Nanjing 210003
  • Received:2022-07-28 Revised:2023-03-15 Online:2023-08-25 Published:2023-08-23

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摘要：

旨在为江苏省粳稻高产抗病品种选育和大田高产栽培提供参考，本研究对2012—2021年江苏省审定的164个粳稻品种的产量构成因素及抗病性与产量进行相关分析。结果表明，产量构成因素的变异系数为穗粒数>穗数>千粒重；产量构成因素与产量的相关程度为穗粒数>千粒重>穗数；直接通径系数表现为穗粒数>千粒重>穗数，间接通径系数显示产量构成因素之间存在明显的相互制约关系，这其中穗粒数与千粒重相互制约作用尤为显著；抗病性与产量相关性分析结果显示相关程度为稻瘟病>纹枯病>条纹叶枯病>白叶枯病。根据分析结果，在江苏省粳稻的高产抗病育种与高产栽培中，应注意保持合理的穗数群体，同时注重增加穗粒数、提高千粒重，并强化对多种病害尤其是对稻瘟病的抗性。

关键词: 江苏省, 粳稻, 产量构成因素, 抗病性, 产量, 相关分析

Abstract:

In order to provide the reference for breeding japonica rice with high yield and disease resistance and the high-yield cultivation in the field in Jiangsu Province, this study analyzed the yield components and conducted correlation analysis between disease resistance and yield of 164 japonica rice varieties which was approved in Jiangsu Province from 2012 to 2021. The results showed that the variability coefficients of yield components from large to small were as follows: grain number> panicle number > 1000-grain weight. The correlation between yield components and yield from strong to weak were: panicle number > p grain number > 1000-grain weight. The direct diameter coefficient from high to low was as follows: grain number > 1000-grain weight > panicle number. The indirect diameter coefficient showed that there was an obvious mutual constraint among the three yield components, with the mutual constraint effect between grain number and 1000-grain weight being particularly significant. The correlation analysis between disease resistance and yield showed that the correlation degree ranks from: blast> sheath blight > stripe disease > Xanthomonas oryzae. According to the analysis results, in the breeding of high-yield and disease-resistant varieties and high-yield cultivation of japonica rice in Jiangsu Province, attention should be paid to maintaining a reasonable number of panicles, increasing the grain number and1000-grain weight, as well as strengthening the resistance to various diseases, especially rice blast.

Key words: Jiangsu Province, japonica rice, yield components, disease resistance, yield, correlation analysis