湖北农业科学 ›› 2020, Vol. 59 ›› Issue (2): 26-29.doi: 10.14088/j.cnki.issn0439-8114.2020.02.006

• 育种·栽培 • 上一篇    下一篇

2009—2018年河南省审定粳稻品种产量结构特点分析

王玲燕, 黄金华, 王书玉, 张素平, 马海涛, 刘震宇, 夏彦丽, 窦士树   

  1. 河南省新乡市农业科学院,河南 新乡 453000
  • 收稿日期:2019-02-25 发布日期:2020-04-24
  • 通讯作者: 王书玉(1964-),男,河南新乡人,研究员,主要从事水稻育种研究工作,(电子信箱)w13937383490@126.com。
  • 作者简介:王玲燕(1980-),女,河南新乡人,助理研究员,硕士,主要从事农作物示范与推广工作,(电话)13783731823(电子信箱)xxnkywly@126.com

Analysis on the characteristics of the yield structure of the approved japonica rice varieties in Henan province in 2009—2018

WANG Ling-yan, HUANG Jin-hua, WANG Shu-yu, ZHANG Su-ping, MA Hai-tao, LIU Zhen-yu, XIA Yan-li, DOU Shi-shu   

  1. Xinxiang Academy of Agricultural Sciences,Xinxiang 453000,Henan,China
  • Received:2019-02-25 Published:2020-04-24

摘要: 利用2009—2018年通过河南省审定的36个粳稻品种,对其8个农艺性状与产量进行相关分析、偏相关分析和通径分析,研究影响粳稻主要农艺性状的内在联系和演变规律。结果表明,粳稻平均产量呈上升趋势,年递增129.11 kg/hm2,生育期呈下降趋势,每年为0.826 d,其他性状变化不明显。8个性状对粳稻的产量都有不同程度的作用,每穗实粒数是影响产量的主要性状,有效穗数、千粒重和株高也是保证产量的重要因素。因此,在合理有效穗数前提下,主攻实粒数、保证千粒重是粳稻增产的关键。

关键词: 粳稻, 主要农艺性状, 相关性分析, 河南省

Abstract: Using 36 japonica rice varieties approved in Henan province from 2009 to 2018, correlation analysis, partial correlation analysis and path analysis of their eight traits and yield were conducted to study the internal relationship and evolution of main agronomic traits affecting japonica rice. The results demonstrated that the average yield of japonica rice showed an upward trend, with an annual increase of 129.11 kg/hm2, and the growth period showed a downward trend, which was 0.826 day per year, other characteristics didn’t change significantly. The eight traits have different effects on the yield of japonica rice. The number of grains per panicle is the main trait that affects the yield. The number of effective panicles, 1 000-grain weight and plant height are also important factors to yield. Therefore, under the premise of a reasonable and effective panicles, the main goal is to increase the number of grains and ensure the 1 000-grain weight.

Key words: japonica, main agronomic characters, correlation analysis, Henan province

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