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Study on the Relationship between Soil Nutrient and Yield Analysis Based on Bivariate Correlation between

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Abstract:

Soil nutrient level is an important factor affecting the yield of corn, to find out the effect of nitrogen, phosphorus, potassium on maize yield, analysis of bivariate correlation in SPSS based on the relationship between nutrient content, nitrogen, phosphorus, potassium in the plot and each plot yield directly was analyzed, the experimental results show that it doesn't matter: P, K and the yield of corn, corn yield and nitrogen related.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1466-1469

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1466

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Cite this paper

Online since:

July 2014

Authors:

Li Ying Cao*, Xiao Xian Zhang, Yue Ling Zhao, Gui Fen Chen

Keywords:

Corn Yield, Correlation, NPK, SPSS

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] Graham Sparling. Louis Schipper: Agriculture, Ecosystem and Environment, vol. 104 (2004), p.545~552.

Google Scholar

[2] Turner BL, Meyer WB: Int. SoiSci, J., Vol. 130 (1991), pp.669-680.

Google Scholar

[3] M. Jiang, Hena, D. Li, W.D. Lv: SPSS software in the agricultural statistical analysis vol. 11 (2011), p.22~28.

Google Scholar

[4] Y.Y. Cai, M. Li, C.C. Jean: SPSS in the analysis of agricultural experiment statistics, vol. 9 (2008), p.158~201.

Google Scholar

[5] G.F. Chen: The spatial data of precision agriculture mining technology research and application of [D]. Changchun: Jilin University, (2009).

Google Scholar

[6] S.H. Zhang, C.L. Ma, W. Li, Y. Xu: Journal of agricultural engineering, vol. 22 (2006), No. 8, pp.64-67.

Google Scholar

[7] X, Miao, K.J. Xia, X. Wang: Computer applications, vol. 24 (2004), No. 11, pp.153-155.

Google Scholar

[8] Y. Li, z. S. Zhou, C.F. Wu, F. Li, J.L. Cheng: Chinese agricultural science, vol. 40 (2007), No. 1, pp.114-122.

Google Scholar

[9] Martin R L, Oeppen J E: Trans Inst Brit Geogr, vol. 66 (1975), p.95–118.

Google Scholar

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