中国农业气象2024,Vol.45Issue(9) :968-983.DOI:10.3969/j.issn.1000-6362.2024.09.003

辽河平原稻区粳稻耐热性综合评价

Comprehensive Evaluation of Heat Tolerance for Japonica Rice in Liaohe Plain Rice-growing Region

宋晓雯 刘春溪 陈乾 王国骄 孙备 杨晓瑾 殷红
中国农业气象2024,Vol.45Issue(9) :968-983.DOI:10.3969/j.issn.1000-6362.2024.09.003

辽河平原稻区粳稻耐热性综合评价

Comprehensive Evaluation of Heat Tolerance for Japonica Rice in Liaohe Plain Rice-growing Region

宋晓雯 1刘春溪 2陈乾 3王国骄 4孙备 4杨晓瑾 5殷红4
扫码查看

作者信息

  • 1. 沈阳农业大学农学院,沈阳 110866;陕西省气象科学研究所,西安 710016
  • 2. 本溪市气象局,本溪 117000
  • 3. 陕西省大气探测技术保障中心,西安 710014
  • 4. 沈阳农业大学农学院,沈阳 110866
  • 5. 商洛市气象局,商洛 726000
  • 折叠

摘要

以辽河平原稻区适宜种植的 20 个粳稻品种为试验材料,采用农田开放式增温系统模拟增温.于水稻收获风干后测定有效穗数(X1)、每穗粒数(X2)、结实率(X3)、千粒重(X4)、产量(X5)、糙米率(X6)、精米率(X7)、蛋白质含量(X8)、直链淀粉含量(X9)和食味值(X10)指标,对比增温处理下不同粳稻品种 10 个性状指标的耐热系数,采用多元统计分析方法综合评价其耐热性,为建立有效的耐热评价体系提供依据.结果表明:除食味值外,增温处理使其他 9 个性状指标显著或极显著降低;基于耐热系数相关性分析表明,水稻性状各指标间存在不同程度的相关性,应用主成分分析将 10 个单项指标降维转化为 4 个相互独立的综合指标,其贡献率分别为 34.816%、19.265%、15.636%和 10.605%,累计贡献率达 80.322%;利用隶属函数法计算耐热性综合评价值(Di值),Di值越大代表耐热性越强,'盐粳 456'耐热性最强,'沈农 016'耐热性最差;20 个粳稻品种按耐热性强弱可划分为 3 类,第Ⅰ类为耐热型 7 个品种,第Ⅱ类为中度耐热型 6个品种,第Ⅲ类为热敏感型 7 个品种.

Abstract

To analyze the heat tolerance of japonica rice in Liaohe plain rice-growing region,and establish an effective evaluation system of heat tolerance,20 main varieties of japonica rice suitable for cultivating over this region were selected and planted under simulated temperature increase using the free air temperature increase system.The heat tolerance of different japonica rice varieties was comprehensively evaluated by multivariate statistical analysis methods based on the heat tolerance coefficients of 10 rice trait indicators,the effective panicle number(X1),grain number per spike(X2),seed setting rate(X3),1000-grain weight(X4),yield(X5),brown rice rate(X6),milled rice rate(X7),protein content(X8),amylose content(X9),and taste value(X10)after harvesting and air-drying the rice.The results showed that the trait indicators except taste value were significantly or extremely reduced under the warming.Correlation analysis based on heat tolerance coefficients revealed different degrees of association between rice trait indicators.Principal component analysis condensed the 10 individual indicators into 4 mutually independent comprehensive indicators.The 4 comprehensive indicators had contribution rates of 34.816%,19.265%,15.636%,and 10.605%,respectively,giving a cumulative contribution rate of 80.322%.The comprehensive evaluation values of heat tolerance(Di value)were calculated using the membership function method.The higher the Di value,the stronger the heat tolerance.The heat tolerance of'Yanjing 456'was the strongest and that of'Shennong 016'was the worst.The 20 japonica rice varieties were classified into three categories based on their heat tolerance:the first category comprised 7 heat-tolerant varieties,the second category included 6 moderately heat-tolerant varieties,and the third category consisted of 7 heat-sensitive varieties.

关键词

粳稻/增温/耐热性/综合评价/多元统计分析

Key words

Japonica rice/Warming/Heat tolerance/Comprehensive evaluation/Multivariate statistical analysis

引用本文复制引用

基金项目

国家重点研发计划项目(2017YFD0300107)

国家自然科学基金项目(31600350)

中国博士后科学基金面上项目(2016M601344)

出版年

2024
中国农业气象
中国农业科学院农业环境与可持续发展研究所

中国农业气象

CSTPCD
影响因子:1.679
ISSN:1000-6362
段落导航相关论文