Crops ›› 2016, Vol. 32 ›› Issue (2): 159-164.doi: 10.16035/j.issn.1001-7283.2016.02.029

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Comparison of Using DSSAT and Fuzzy Mathematics for Climatic Suitability Model of Winter Wheat

Zhang Jiantao,Li Guoqiang,Chen Dandan,Feng Xiao,Zheng Guoqing   

  1. Agricultural Economy & Information Institute,Henan Academy of Agricultural Sciences,Zhengzhou 450008,Henan,China
  • Received:2015-10-10 Revised:2016-01-08 Online:2016-04-15 Published:2018-08-26
  • Contact: Guoqiang Li,Guoqing Zheng

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Abstract:

In order to compare the application of DSSAT model and fuzzy mathematical method in climate suitability evaluation of winter wheat, two evaluation models of climate suitability were respectively established. The climate suitability of winter wheat at different growth stage and in the whole growth stage was calculated by data from counties of Qi and Tangyin in Henan province during 1999-2013. Correlation analysis was used to test the evaluation effect of climate suitability of winter wheat calculated by DSSAT and fuzzy mathematical method. The results showed that at emerging to wintering stage, turning green to jointing stage, jointing to anthesis stage and anthesis to maturity stage, the change trend of climate suitability calculated by DSSAT model (CS-DSSAT) all agreed well with that by fuzzy mathematical method (CS-FM). There was a positive relationship between CS-DSSAT and CS-FM at four stages, while a negative relationship at overwintering to turning green stage. The change trend of CS-DSSAT at whole growth period was consistent with that of CS-FM. The standard deviation and variation coefficient of CS-DSSAT were respectively higher than that of CS-FM, but compared with CS-FM, the change trend of CS-DSSAT was closer to that of yield. DSSAT model could be employed to evaluate climate suitability of winter wheat.

Key words: Winter wheat, DSSAT model, Fuzzy mathematics, Climatic suitability

"

地点Location 播种Sowing 出苗Emergence 越冬Overwintering 返青Turning green 拔节Jointing 开花Anthesis 成熟Maturity
杞县Qi 10-16 10-25 12-20 2-14 3-29 4-30 6-05
汤阴县Tangyin 10-09 10-18 12-07 2-14 4-01 5-03 6-08

Table 2

Model parameters of Zhoumai 16"

P1V P1D P5 G1 G2 G3 PHINT
48.12 113.2 712.5 20 37.5 4.5 80

Fig.1

Validation results of yield and growth stages for Zhoumai 16"

Fig.2

Climate suitability changed in different growth stages in Qi and Tangyin"

Table 3

Climate suitability statistic analysed in different growth stages in Qi and Tangyin county"

生育期Growth stages 适宜度算法Algorithm 杞县Qi 汤阴县Tangyin
均值Mean 标准差SD 变异系数VC 均值Mean 标准差SD 变异系数VC
出苗—越冬Emergence-overwintering
 模糊数学法FM 0.76 0.06 0.08 0.78 0.05 0.06
模型法M 0.60 0.23 0.38 0.65 0.20 0.31
越冬—返青Overwintering-turning green
 模糊数学法FM 0.76 0.04 0.05 0.81 0.02 0.03
模型法M 0.48 0.28 0.60 0.37 0.27 0.72
返青—拔节Turning green-jointing
 模糊数学法FM 0.80 0.02 0.02 0.81 0.03 0.04
模型法M 0.84 0.11 0.13 0.76 0.16 0.21
拔节—开花Jointing-anthesis
 模糊数学法FM 0.86 0.04 0.04 0.85 0.04 0.05
模型法M 0.88 0.07 0.07 0.88 0.06 0.07
开花—成熟Anthesis-maturity
 模糊数学法FM 0.83 0.02 0.02 0.84 0.03 0.04
模型法M 0.80 0.13 0.16 0.80 0.09 0.12
全生育期Whole growth stage
 模糊数学法FM 0.81 0.02 0.03 0.82 0.02 0.02
模型法M 0.87 0.08 0.09 0.84 0.10 0.12

Table 4

Correlation analysed of different growth stages climate suitability in Qi and Tangyin"

站点
Location		 出苗—越冬
Emergence-overwintering		 越冬—返青
Overwintering-turning green		 返青—拔节
Turning green-jointing		 拔节—开花
Jointing-anthesis		 开花—成熟
Anthesis-maturity		 全生育期
Whole growth stage
杞县Qi 0.913** -0.779** 0.500 0.776** 0.814** 0.440
汤阴县Tangyin 0.966** -0.363 0.879 0.707** 0.673** 0.465*

Fig.3

Compared of two algorithm in whole growth period climate suitability in Qi and Tangyin"

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