Nitrogen mineralization and nitrogen uptake by maize as influenced by light and heavy organic matter fractions

被引:8
作者
Gaiser, T [1 ]
Bernard, M
Kang, BT
Stahr, K
机构
[1] Univ Hohenheim, Inst Soil Sci & Land Evaluat, D-70593 Stuttgart, Germany
[2] Univ Georgia, Dept Crop & Soil Sci, Athens, GA 30602 USA
来源
ZEITSCHRIFT FUR PFLANZENERNAHRUNG UND BODENKUNDE | 1998年 / 161卷 / 05期
关键词
subhumid tropics; soil organic matter fractions; nitrogen mineralization; crop nitrogen content;
D O I
10.1002/jpln.1998.3581610509
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
On a sandy tropical soil, organic materials (prunings of Leucaena leucocephala, Senna siamea and maize stover) with contrasting C/N ratio (13, 18 and 56, respectively) were applied at the rate of 15 t ha(-1)a(-1) in order to increase the amount of soil organic matter. Two light fractions (LF1 = LF > 2 mm and LF2 = 0.25 mm < LF < 2 mm) and the heavy fraction (HF) of the soil organic matter pool were determined by means of a combined density/particle size fractionation procedure and data obtained were related to soil nitrogen mineralization under controlled conditions and to nitrogen uptake by maize under field conditions. Under controlled conditions and when the LF1 fraction was excluded, nitrogen mineralization was found not to be correlated to total organic carbon content in the soil (R-2 = 0.02). The R-2-value of the linear regression increased considerably, when amount and C/N ratio of the LF2 fraction was taken into account in the regression analysis (R-2 = 0.88). Under field conditions, a multiple linear regression with amount and C/N ratio of HF, LF1 and LF2 better explained variation in crop nitrogen content and nitrogen uptake of maize (R-2 = 0.78 and 0.94) than a simple linear regression with total organic carbon (R-2 = 0.48 and 0.76). The results illustrate the importance of the two light and heavy organic matter fractions for estimating soil nitrogen mineralization. Determination of light and heavy soil organic matter fractions by density/particle size fractionation seems to be a promising tool to characterize functional pools of soil organic matter.
引用
收藏
页码:555 / 561
页数:7
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