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Soil microbial C:N ratio is a robust indicator of soil productivity for paddy fields

机译:土壤微生物碳氮比是稻田土壤生产力的有力指标

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摘要

Maintaining good soil productivity in rice paddies is important for global food security. Numerous methods have been developed to evaluate paddy soil productivity (PSP), most based on soil physiochemical properties and relatively few on biological indices. Here, we used a long-term dataset from experiments on paddy fields at eight county sites and a short-term dataset from a single field experiment in southern China, and aimed at quantifying relationships between PSP and the ratios of carbon (C) to nutrients (N and P) in soil microbial biomass (SMB). In the long-term dataset, SMB variables generally showed stronger correlations with the relative PSP (rPSP) compared to soil chemical properties. Both correlation and variation partitioning analyses suggested that SMB N, P and C:N ratio were good predictors of rPSP. In the short-term dataset, we found a significant, negative correlation of annual rice yield with SMB C:N (r = −0.99), confirming SMB C:N as a robust indicator for PSP. In treatments of the short-term experiment, soil amendment with biochar lowered SMB C:N and improved PSP, while incorporation of rice straw increased SMB C:N and reduced PSP. We conclude that SMB C:N ratio does not only indicate PSP but also helps to identify management practices that improve PSP.
机译:在稻田中保持良好的土壤生产力对全球粮食安全至关重要。已经开发了许多方法来评估稻田土壤生产力(PSP),大多数方法是基于土壤的理化特性,而很少是基于生物指标的。在这里,我们使用了来自八个县城的稻田试验的长期数据集和来自中国南方单场试验的短期数据集,旨在量化PSP与碳(C)与养分比之间的关系土壤微生物生物量(SMB)中的N和P。在长期数据集中,与土壤化学性质相比,SMB变量通常显示出与相对PSP(rPSP)的更强相关性。相关和变异划分分析均表明,SMB N,P和C:N比是rPSP的良好预测指标。在短期数据集中,我们发现水稻年产量与SMB C:N呈显着负相关(r = -0.99),证实SMB C:N是PSP的可靠指标。在短期实验的处理中,用生物炭改良土壤可降低SMB C:N并改善PSP,而掺入稻草可提高SMB C:N并降低PSP。我们得出的结论是,SMB C:N比率不仅表明PSP,而且还有助于确定改善PSP的管理实践。

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