Journal of Food, Agriculture and Environment

Vol 11, Issue 1,2013
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Characteristics and models of spring wheat growth by a modified logistic model in the desert oasis conditions 


Li Ma 1, 2, 4, QuanJiu Wang 1, 3*, Jun Fan 1

Recieved Date: 2012-09-17, Accepted Date: 2013-01-16


In the desert oasis region of northwestern China, crop planting relies on irrigation by surface water and groundwater. So, efficient water utilization is a crucial factor in establishing successful agricultural systems. Identification of most appropriate irrigation treatments for a given system is fundamental for ensuring high water use efficiency. In order to determine the optimum irrigation schedule for spring wheat in this region, field experiments imposing different irrigation schedules were established, and plant height, leaf area index (LAI), dry matter accumulation and grain yield, were measured and used to calculate water use efficiency (WUE). The relationships between the maximum plant heights (Hm), grain yields (GY) and water consumption (ET) were analyzed. So, the ET and GY can be predicted by Hm conveniently. The results showed that the growth characteristics of spring wheat fitted the classic logistic curve model. A new modified logistic model was used to simulate the leaf area index (LAI) and aboveground biomass of spring wheat based on plant height at the study site. The results also showed that there was good correlation between the simulated values and the measured values because the R2 value was correlated positively. The LAI and aboveground biomass could therefore be conveniently predicted by measuring plant height. The optimum irrigation treatment for spring wheat in the desert oasis, according to the plant growth data and water utilization efficiency, was treatment W4 (420 mm). The grain yield (GY) of spring wheat could be expressed as a function of t and ET: GY = f (t, ET, HI). 


Desert oasis, spring wheat, water use efficiency (WUE), irrigation schedule, logistic models

Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 1
Category: Agriculture
Pages: 614-624

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