Meteorological Condition Prediction Research of the Stem Mustard Premature Bolting in early Season

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Abstract:

With the demand of the stem mustard premature bolting forecast in Fuling area, from the biology characteristics of stem mustard’s early bolting, the paper analyzes the two-season planting test data of stem mustard in 2011, and screens the significant meteorological factors that affecting the stem mustard premature bolting, which is average air temperature of the first 9-12 days after sowing, the maximum temperature and precipitation days in the stage of sowing - 3 leaf, and then establishes the prediction model of stem mustard premature bolting by Logistic equation. Finally, the planting test data in 2012 are used to test the model, which can better simulate the occurrences of stem mustard premature bolting, and forecast has good feasibility. Keyword: Stem mustard; Premature bolting; Two-season; Prediction

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Advanced Materials Research (Volumes 955-959)

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687-693

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Liu Peiying. Chinese mustard [M]. Beijing: Chinese Agriculture Press, (1996).

Google Scholar

[2] Chen Zhujun, Gong Lan, Wang Bingliang. Studies on the formation of stem swelling and the bud differentiation and their relation in tuber mustard [J], Journal of Zhejiang of Agriculture University, 1994, 20(2): 267-272.

Google Scholar

[3] Chen Zhujun, Wang Bingliang, Gong Lan. The effect of temperature and light on development of tuber mustard [J], Zhejiang Journal of Agricultural Sciences, 1997, 9(1): 10-16.

Google Scholar

[4] Shen Xuegen, Wang Bingliang, Wang Jianmin. The study of the common problems of the pickle production in Zhejiang province [J], China Agricultural Technology Extension, 2001, 1: 54-56.

Google Scholar

[5] Liu Zhengchuan, Hu Daiwen, Gao Mingquan, Effects of shading seedling on Tumorous Stem Mustard premature bolting and yield [J], Southern agriculture, 2008, 2(9): 7-9.

Google Scholar

[6] Zhang Hong, Zhang Zhaorong, Fan Yonghong, Research on Nitrogen in stem mustard (mustard) premature bolting and axillary unripe [J], Cultivation and Tillage, 2011, 2: 29-31.

Google Scholar

[7] He Shunlu, Research on cultivation techniques of tumorous stem mustard in high altitude area of Fuling [J], Modern agricultural science and technology, 2010(4): 138-141.

Google Scholar

[8] Hu Daiwen, Gao Mingquan, Zhang Hong. Influence of Fuling in elevation of tumorous stem mustard cultivated technique of high yield of sowing date on Agronomic Characters and yield [J]. Cultivation and Tillage, 2006(4): 20-22.

Google Scholar

[9] Zhang Zhaorong, Hu Daiwen, Gao Mingquan. The adaptability evaluation of tumorous stem mustard varieties in high altitude areas of Fuling[J]. The Yangtze River vegetables, 2006(7): 51-52.

Google Scholar

[10] Cui Dangqun, Analysis and Making Good Fitting Degree Test for Logistic Curve Regression Equation [J]. Application of Statistics and Management, 2005, 1: 112-115.

Google Scholar

[11] Chang Xuexiang, Zhao Wenzhi, Zhao Aifen. Dynamic change of leaf area index in the middle reaches of Heihe and its relationship with water consumption [J]. Journal of Glaciology and Geocryology, 2006, 28(1): 85-90.

Google Scholar

[12] Yin Shuyan, Liu Yucheng, Biomass and leaf area dynamics of modular populations in gordonia acuminate [J]. Journal of plant ecology, 1997, 21(1): 83-89.

Google Scholar

[13] Yang Jiantang, Wang Wenliang, Huo Xiaoting, Studies on the relationship between the course of the dry matter accumulation in aerial parts in flue-cured tobacco and the available accumulation temperature [J]. Journal of Henan Agricultural University, 2004, 38(1): 28-32.

Google Scholar

[14] Li Xueping, Tang Huiming, Chen Shi. Application of GIS-Based Logistic Regression Model on Spatial Prognosis Studying of Landslide [J]. Journal of Highway and Transportation Research and Development, 2005, 22(6): 152-155.

DOI: 10.1115/1.802922.paper80

Google Scholar