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Chickpea residue properties controlling decomposition dynamics and nitrogen availability in some tropical acid soils

机译:鹰嘴豆残留特性控制某些热带酸性土壤中的分解动力学和氮素利用

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摘要

Chickpea (C/cer arietinum) grown in a rotation can contribute significant nitrogen (N) if its decomposition and nutrient-release dynamics are known and synchronised with the maximum demand by the succeeding crop. The aims of the study were to investigate the decomposition rates of two chickpea residues, mature (CHR) and green manure (GM), and use their properties to predict N dynamics in acid soils. The N dynamics were predicted by the NCSOIL model using neutral and acidic detergent fibres (NDF and ADF, respectively) measured by near-infrared reflectance spectroscopy (NIRS) for defining residue pools. The GM released 50-60% of total N in 84 d, whereas CHR immobilised N. Simulations based on the two residue pools Indicated that NIRS predicted the carbon (C) and N dynamics reasonably well for both residues. The decay rate constants of the NDF - soluble pool varied between 0.5 and 0.2 d~1. Adding an intermediate pool NDF + ADF improved the prediction of C and N dynamics for CHR but not for GM. Therefore, successful prediction of N dynamics required the search of N partitioning among pools by NCSOIL, as long as no chemical analysis of N was suitable for this purpose.
机译:如果已知鹰嘴豆的分解和养分释放动态并与后继作物的最大需求保持同步,则轮换生长的鹰嘴豆(C / ceraerietinum)可以贡献大量的氮(N)。该研究的目的是研究两种鹰嘴豆残渣(成熟的(CHR)和绿肥(GM))的分解速率,并利用它们的性质预测酸性土壤中的氮动态。通过NCSOIL模型使用中性和酸性洗涤剂纤维(分别为NDF和ADF)通过近红外反射光谱(NIRS)测量来确定残留物池,从而预测N动力学。 GM在84天内释放了总氮的50-60%,而CHR固定了N。基于两个残基库的模拟表明,NIRS预测两个残基的碳(C)和N动态都相当合理。 NDF可溶池的衰减速率常数在0.5和0.2 d〜1之间变化。添加中间池NDF + ADF可以改善CHR的C和N动态预测,而不能改善GM。因此,要成功预测N动力学,就需要通过NCSOIL在池中搜索N分配,只要没有适合N的化学分析即可。

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