浙江农业科学 ›› 2024, Vol. 65 ›› Issue (4): 760-766.DOI: 10.16178/j.issn.0528-9017.20230201

• 水稻 • 上一篇    下一篇

2012—2017年河南省参试粳稻品种品质特性分析

夏彦莉(), 王玲燕, 殷春渊*(), 窦士树, 闫春霞, 闫政敏   

  1. 新乡市农业科学院,河南 新乡 453002
  • 收稿日期:2023-02-19 出版日期:2024-04-11 发布日期:2024-04-22
  • 通讯作者: 殷春渊(1978—),女,河南汝南人,副研究员,博士,主要从事水稻栽培生理研究,E-mail:yinyuan923@126.com
  • 作者简介:夏彦莉(1979—),女,河南新乡人,助理研究员,本科,主要从事种植业工作,E-mail:95870031@qq.com
  • 基金资助:
    河南省科技攻关计划(212102110290)

Analysis of quality characteristics of japonica rice varieties in Henan Province from 2012 to 2017

XIA Yanli(), WANG Lingyan, YIN Chunyuan*(), DOU Shishu, YAN Chunxia, YAN Zhengmin   

  1. Xinxiang Academy of Agricultural Sciences, Xinxiang 453002, Henan
  • Received:2023-02-19 Online:2024-04-11 Published:2024-04-22

摘要:

为明确河南省不同稻区粳稻品种的品质特性,培育和改良优质水稻品种。以2012—2017年河南省参试的粳稻品种为试验材料,研究了河南不同稻区不同年份稻米品质之间的差异及其类群划分。结果表明,对近6年河南稻区参试的粳稻品种的加工品质、外观品质、蒸煮食味品质等指标进行变异分析,加工品质的变异系数以出糙率最小1.92%,整精米率最大13.04%;外观品质变异系数以垩白度最大为79.13%。豫南组以粒形长宽比变异系数最小16.24%,沿黄组以粒长变异系数最小4.13%;蒸煮食味品质两组表现一致。主成分分析发现,豫南组提取4个主成分因子,沿黄组提取5个主成分因子。品质指标聚类分析可把参试品种(系)划分为3个类群,优质群品种可供生产上大面积推广应用。

关键词: 河南稻区, 粳稻, 参试, 品质分析

Abstract:

In order to clarify the quality characteristics of japonica rice varieties in different rice regions of Henan Province, and to cultivate and improve high-quality rice varieties. Based on the japonica rice varieties tested in Henan Province from 2012 to 2017, the differences in rice quality and taxonomic classification in different rice regions and years in Henan Province were studied. The results showed that the coefficient of variation of processing quality, appearance quality, cooking taste quality and other indexes of japonica rice varieties tested in Henan rice area in the past six years was analyzed, and the coefficient of variation of processing quality was 1.92% for brown rice rate, 13.04% for head rice rate, and 79.13% for chalkiness. The coefficient of variation of grain length-to-width ratio was the lowest in the southern Henan group and 4.13% in the Yanhuang group. Principal component analysis showed that 4 principal component factors were extracted from the southern Henan group and 5 principal component factors were extracted along the yellow group. The cluster analysis of quality indicators can divide the tested varieties (lines) into three groups, and the high-quality group varieties can be used for large-scale promotion and application in production.

Key words: Henan rice area, japonica rice, test, quality analysis

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