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水稻长势、产量结构与水稻光谱参数的关系及模式

THE RELATIONSHIP BETWEEN SPACTRAL PARAMETERS OF PADDY FIELDS AND RICE GROWTH AS WELL AS ITS MODELS OF YIELD COMPONENTS

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【作者】 王延颐; 陈玉泉; 马金福; 孙玲; 查宗祥; 曲宝林; 李彩顺; 邱玉岚;

【Author】 WANG YANYI;CHEN YUQUAN;MA JINFU;SUN LING;CHA ZONGXIANG;QU BAOLIN;LI CAISHUN;QIU YULAN;ACADEMY OF AGRICULTURAL SCIENCES OF JIANGSU PROVINCE;ACADEMY OF LAND PLANNING AND SURVEY OF CHINA;

【机构】 江苏省农业科学院; 中国土地勘测规划院;

【摘要】 本试验是"我国南方稻区水稻长势监测与估产"的基础部分,试验结果表明:1)水稻齐穗前,比值植被指数RVI与水稻长势(叶面积及生物量)相关极显著,其幂指数模式对不同品种水稻都具有较高的适合性与精度,可用以精确估计水稻长势。水稻齐穗后,RVI与水稻绿叶面积相关显著,但与生物量相关很差;2)规范化①后计算垂直植被指数PVI与水稻产量结构(每亩穗数、每穗实粒数、千粒重)及理论产量相关极显著。逐步回归分析表明,不同时期PVI对产量结构的影响不同:穗分化期PVI对每亩穗数、每穗实粒数、千粒重及产量结构都有重要影响;齐穗期PVI对每穗实粒数及理论产量有重要影响;灌浆期PVI对每穗实粒数、千粒重及理论产量有一定影响;乳熟期PVI对千粒重及理论产量有一定影响;3)不同水稻品种的株型、生理特点、熟期、熟相与叶色差异较大,应根据不同品种分别建立植被指数与产量关系模式,以估计各自产量;4)南方稻区多阴雨天气,水稻光谱是进行水稻长势监测与估产的重要途径之一。

【Abstract】 This experiments are the basic part of the project named "The Monitoring of Rice Growth and Yield Estimation in South China".The results show:1.Before rice full-head emergence,the correlation coefficient between ratio vegetation index(RVI) and rice growth(leaf area index or dry biomass) is extremely high.The exponential function is more accurate and suitable to estimate rice growth than others.After rice full-fead emergence,the correlation coefficient between RVI and LAI is remarkable,but the relationship between RVI and dry biomass is poor.2.The coorelation coefficient between PVI,standardized perdendicular vegetation Index,and rice yield components(ear number per Mu,full grainnumber per ear and the weight of one thousand grains) as well as theoretical rice yield are extremely high.The gradual regression analysis shows that the influence of PVI to rice yield components is different at different growing stage.In panicle differentiation period,PVI exerts the most important influence to ear number,grain number and grain weight.PVI has an important influence to grain number and theoretical yield during fullhead emergence stage.PVI has certain influence to grain number,grain weight and theoretical yield at grain filling stage,as well as during the milking stage.3.Since the characteristics of different varieties,such as plant type,physiological characteristics,maturing time,ripe status and leaf colour,are obviously different.The different model should be set up for different variety of rice among vegetation Index and yield.4.There are more cloudy and rainy days in South China than North China.It is one of the important ways to monitor rice growth and estimate rice with spectral data of paddy fields.

  • 【会议录名称】 环境监测与作物估产的遥感研究论文集
  • 【会议时间】1991-03
  • 【分类号】S511
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