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[1]ZHANG Han,ZHAO Xiaomin,OUYANG Zhencheng,et al.Effects of Different Farmland Use Types on Soil Nutrients in Jiangxi Province[J].Research of Soil and Water Conservation,2018,25(06):53-60.

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Effects of Different Farmland Use Types on Soil Nutrients in Jiangxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 06 Page number: 53-60 Column: Public date: 2018-10-26

Title:: Effects of Different Farmland Use Types on Soil Nutrients in Jiangxi Province

Author(s):: ZHANG Han^1,2, ZHAO Xiaomin^1,4, OUYANG Zhencheng^1,2, GUO Xi^1,2, KUANG Lihua⁴, YE Yingcong^1,3; 1. Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology of Jiangxi Province, Jiangxi Agricultural University/Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Nanchang 330045, China;
2. College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China

Keywords:: land use types; farmland; soil nutrients; Jiangxi Province

CLC:: S153

DOI:: -

Abstract:: To better understand nutrient status of the soil in the Middle-Lower Yangtze Plain area, based on 16 823 Samples in Jiangxi Province, the effects of five land use types (paddy-upland rotation, single dry land, double dry land, single cropping paddy field and double cropping paddy field) on soil nutrients were studied through field survey, mathematical statistics analysis method and Geo-statistics analysis methods. The results showed that: Soil nutrient spatial variation in Jiangxi Province is mainly caused by random factors by semivariance function analysis. The contents of soil total nitrogen (TN), available nitrogen (AN), total phosphorus (TP), available phosphorus (AP), total potassium (TK), available potassium (AK), soil organic matter (SOM) and pH value were 1.25~1.61 g/kg, 149.27～169.90 mg/kg, 0.49～0.54 g/kg, 17.94～21.30 mg/kg, 11.55～12.19 g/kg, 72.67～106.41 mg/kg, 27.09～31.52 g/kg and 5.12～5.52, respectively; the soil chemical properties under difference land use types were highly significant, the effect degrees of soil nutrients decreased in the order: soil pH value > TN > AK > SOM > AP > AN > TP > TK; Pearson coefficients analysis among soil nutrient found that the SOM and pH value had the significant (p < 0.05) or very significant correlation (p < 0.01) with TN, AN, AP, TK and AK. The correlation analysis showed that SOM content was closely related to TN, AN, AP, TK and AK, their relative coefficients were 0.945, 0.359, -0.014, 0.033, 0.028, 0.061, -0.061, respectively, and could be a sensitive indicator factor on soil fertility. The results are of extremely important significance in planning reasonable land use types, using fertilization modes and improving the level of soil nutrients, land productivity for Jiangxi Province.

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