九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野 : 准教授
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University : Associate Professor
九州大学大学院生物資源環境科学府環境農学専攻生産環境科学教育コース農業生産システム設計学研究分野(現在:株式会社クボタ)
Laboratory of Agricultural Machinery and Production Systems Design, Course of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University(Present affiliation: KUBOTA Corporation)
九州大学大学院農学研究院生命機能科学部門生命機能化学講座植物栄養学分野 : 准教授 | 九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野
Laboratory of Plant Nutrition, Division of Molecular Biosciences, Department of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University : Associate Professor | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院環境農学部門生産環境科学講座土壌学分野 : 助教授 | 九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野
Laboratory of Soil Science, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University : Assistant Professor | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院環境農学部門生産環境科学講座土壌学分野(現在:株式会社アステック)
Laboratory of Soil Science, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University (Present affiliation: ASTEC CO., LTD.)
九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野 : 教授
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University : Professor
九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野 : 准教授
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University : Associate Professor
九州大学大学院農学研究院環境農学部門生産環境科学講座農業生産システム設計学分野 : 助教授
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University : Assistant Professor
Nitrogen mineralization potential (N_0 ) and mineralization rate constant (k) are major parameters used to estimate soil mineralizable nitrogen during the rice growth period. These parameters are determined with soil incubation tests, which are laborious and time-consuming. Thus, simple estimation of N _0 and k are required to use the parameters for planning fertilizer applications. The objective of this study was to investigate correlations between N0 or k of moist paddy soils and soil physicochemical properties. First, N_0 and k were calculated using kinetic analysis for soils collected at 16 paddy fields in Itoshima city, Fukuoka Prefecture. Next, correlations were analyzed between N_0 or k and soil physicochemical properties including total nitrogen (TN), total carbon (TC), clay, silt, sand contents, and cation exchange capacity (CEC). TN and TC are simply measured with a CHN analyzer, while clay, silt, sand contents, and CEC can be referred over years when the properties are measured once. For the relationship with N_0 , TN showed a positive correlation (r =0.602) at 1% significance level. TC, clay content, and CEC showed positive correlations (r =0.569, 0.526, 0.431, respectively) at 5% significance level, while sand content showed a negative correlation (r = − 0.504) at 5% significance level. For the relationship with k, sand content showed a positive correlation (r =0.481) at 5% significance level, while silt content showed a negative correlation (r = − 0.460) at 5% significance level. The result implicated that the correlations between k and sand or silt content are significant only when the ranges of the values are large.