Research on Prediction Model and Characteristic Parameters on Dry Matter Accumulation in Wheat Based on Normalized Method and Grey System - Computer and Computing Technologies in Agriculture VI - Part II Access content directly
Conference Papers Year : 2013

Research on Prediction Model and Characteristic Parameters on Dry Matter Accumulation in Wheat Based on Normalized Method and Grey System

Juan Liu
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  • PersonId : 986570
Xinming Ma
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  • PersonId : 986517
Jing Wang
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  • PersonId : 1004603

Abstract

To investigate a model to simulate wheat dry matter accumulation, three wheat cultivars with different tillering abilities were grown at three densities each in a field experiment. Five simulation models with high correlation coefficients for relative dry matter accumulation were established by the method of normalized. Among these models, the Richards equation was the best in fitting and forecasting, i.e., y = 1.1435/(1 + e0.2776 − 4.6558x)1/0.1130, r = 0.9927. Correlation coefficient of grey comprehensive relationship degree between actual dry matter accumulation in occurrence time of maximum rate of dry matter accumulation and dry matter weight was highest, so a higher actual dry matter weight in occurrence time of maximum rate of dry matter accumulation played an important role in stabilizing and improving dry matter weight of wheat.
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hal-01348226 , version 1 (22-07-2016)

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Juan Liu, Xiaoli Zhao, Shuping Xiong, Xinming Ma, Yanfeng Wang, et al.. Research on Prediction Model and Characteristic Parameters on Dry Matter Accumulation in Wheat Based on Normalized Method and Grey System. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. pp.142-149, ⟨10.1007/978-3-642-36137-1_18⟩. ⟨hal-01348226⟩
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