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在控制水分条件下棉花高产优质生育与产量模型研究 Ⅱ.群体生育优化模型 被引量:2

STUDIES ON THE MODELS OF COMPREHENSIVE AGRONOMIC MEASURES FOR HIGH YIELD AND HIGH QUALITY COTTON Ⅱ. THE OPTIMUM POPULATION GROWTH MODEL
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摘要 本文利用最优回归设计与参数分析相结合的方法,根据田间试验资料对棉花群体生长发育进行了模拟优化,建立了不同施氮量、密度、灌溉定额条件下棉花群体生长发育优化模型;该模型群与产量函数模型的优化措施方案相偶联,模拟出了每公顷1650公斤以上霜前皮棉的棉花合理生长发育动态变化曲线、为优化方案的实施提供了诊断指标和参数。 The simulation models on the coton population growth and development are established on basis of the test data from each plot, including the variable time models on plant height (PH), leaf area index (LAI), fruiting branches/plant (FBN), squares/plant (SN), fruiting nodes/ plant (FNPP), bolls/plant (BBNPP), fruiting nodes/hm^2 (FNPM) and bolls/hm^2 (BBNPM). The simalation models on the cotton population growth and development are as follows: 1. Simulation model on PH and LAI: PH (or LAI)=k/(1+e^(-bx)) 2. Simulation model on FBN: FBN=(a+bx/x) 3. Simulation model on SN: SN=a+bx+cx^2 4. Simulation model on FNPP, BBNPP, FNPM, BBNPM: FNPP (or BBNPP, FNPM, BBNPM)=a+b lnx The value of parameters (a.b.c.k) in the simulation models can be determined on the ba- sis of the quantative relation between the parameters and treatment factors: Parameter (a.b.c.k.)=b_0+sum from j=1 to m b_ix_j+sum from i<j to b_ijx_ix_j+sum from j=1 to m b_(ji)x_j^2 According to these relationships, the particular model corresponding to the different treat- ment factors can be determined to provide prediction and physiological analysis, and to adjust the treatment factors according to the need of production. Based on the frequency analysis and simulation models on cotton population development, the dynamic process of plant development in cotton population that may give a pre--frost lint yield over 1650kg/hm^2 is simulated, thus to provide a scientific basis and necessary parameters for judging the populations that can go through reasonable development process for high yield and good fiber quality.
出处 《棉花学报》 CSCD 北大核心 1992年第1X期31-37,共7页 Cotton Science
基金 国家自然科学基金
关键词 棉花 人工控制水分 最优回归设计 Cotton High yield and good fiber quality Growth and development Simulation model
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