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基于Logistic模型的玉米干物质积累过程对产量影响研究 被引量:48

Study on the effect of dry matter accumulation process on maize yield based on Logistic model
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摘要 作物产量与干物质积累过程紧密相关,各种不同的栽培措施及环境条件会显著影响干物质积累过程进而影响产量。利用2007—2009年不同地区、年份和栽培管理措施的5组田间试验资料,以玉米为研究对象,分析了干物质积累过程对产量的影响,建立了郑单958、中农大4号单株产量与其Logistic模型参数的关系模型,相关系数分别为0.863和0.993,标准误差分别为0.018和0.004。用独立验证试验对模型效果进行了t检验,郑单958和中农大4号的显著水平值分别为0.900和0.379,模型模拟值与实际观测值差异均不显著,RMSE值分别为0.015和0.020。分析结果表明,玉米产量与干物质积累过程有关,不同的干物质积累过程其Logistic方程的参数也不同;玉米籽粒产量与Logistic方程参数之间存在一定的关系,不同的品种其关系模型也有所不同。 Crop yields are closely related to dry matter accumulation process,which can be affected by different culture measures and environment remarkably, consequently the yields. To analysis the effect of dry matter accumulation process on maize yield,field experiments with four treatments, namely, areas, years, culture measures were performed from 2007 to 2009. Regression equation between yield per plant and it's parameter for Logistic model of Zhengdan958 and Zhongnongda 4 was established. Correlation coefficient for Zhengdan958 and Zhongnongda4 were 0. 863 and 0. 993 respectively,and standard errors were 0. 018 and 0. 004 respectively. To validate the above model, t-test distinguish level of Zhengdan958 and Zhongnognda 4 from independent experiment were 0. 900 and 0. 379 respectively. No obvious difference was observed between model's simulated and observed values. RESM values for Zhengdan985 and Zhongnongda4 were 0. 014 and 0. 020 respectively. The results showed that maize yield correlated with dry matter accumulation process for certain degree; different growing process resulted in different parameter of Logistic model. Furthermore,the crop yield also correlated with parameter of Logistic model; different varieties possessed their own model. Information obtained from the current study can provide some theory basis for maize industry.
出处 《中国农业大学学报》 CAS CSCD 北大核心 2011年第5期32-38,共7页 Journal of China Agricultural University
基金 国家支撑计划项目(2006BAD29B04) 国家"863"计划项目(2006AA10A303-1)
关键词 玉米 干物质 LOGISTIC方程 模型参数 maize dry matter Logistic function model parameter
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