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首页> 外文期刊>Agronomy Journal >Short- and long-term labile soil carbon and nitrogen dynamics reflect management and predict corn agronomic performance.
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Short- and long-term labile soil carbon and nitrogen dynamics reflect management and predict corn agronomic performance.

机译:短期和长期不稳定的土壤碳氮动态反映了管理并预测了玉米的农艺表现。

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Labile soil organic matter plays an extremely important role in crop nutrient acquisition, but quantifying this pool can be prohibitively expensive to farmers. A better understanding of rapid and inexpensive measures of labile organic matter could lead to new tools for predicting soil N supply and crop performance. Toward this end, we quantified several simple measures of labile C and N over the course of the corn (Zea mays L.) growing season in a long-term systems trial to determine:(i) the temporal dynamics of these measures, (ii) the long-term response of these measures to management, and (iii) the capacity of these measures to predict corn agronomic performance. We found that all labile soil measures (permanganate oxidizable carbon [POXC], C mineralization, N mineralization, and soil inorganic N) varied temporally and responded to long-term differences in management. Corn grain and vegetative biomass also responded to long-term treatment differences and these differences were strongly related to the measured labile soil C and N fractions. The history of crop rotation had a greater influence than management regime on all soil measures, with the exception of POXC. Of all the measures, C mineralization was the best predictor of agronomic performance both individually (r=0.61-0.78, depending on corn stage), and when modeled with multiple indicators (six out of nine models). The results presented here demonstrate the strong relationship between crop growth and labile organic matter dynamics, and provide further evidence that C mineralization is an inexpensive, but sensitive predictor of corn agronomic performance.
机译:不稳定的土壤有机质在获取作物养分中起着极其重要的作用,但是对这一池进行量化对于农民而言可能是非常昂贵的。对快速而廉价的不稳定有机物测量方法的更好理解可能会导致新的工具来预测土壤氮的供应和作物生长。为此,在一项长期系统试验中,我们量化了玉米(Zea mays L.)生长季过程中不稳定C和N的几种简单测量方法,以确定:(i)这些措施的时间动态,(ii )这些措施对管理的长期反应,以及(iii)这些措施预测玉米农艺表现的能力。我们发现,所有不稳定的土壤措施(高锰酸盐可氧化碳[POXC],C矿化,N矿化和土壤无机N)在时间上都有变化,并且对管理的长期差异做出了响应。玉米籽粒和营养生物量也对长期的处理差异做出了响应,这些差异与测定的不稳定土壤碳和氮含量密切相关。除POXC外,轮作史对所有土壤措施的影响均大于管理制度。在所有措施中,无论是单独的(r = 0.61-0.78,取决于玉米分期),还是使用多个指标进行建模(9个模型中的6个),C矿化都是农艺性能的最佳预测指标。本文介绍的结果证明了作物生长与不稳定的有机质动力学之间的密切关系,并提供了进一步的证据表明碳矿化是一种廉价但敏感的玉米农艺表现指标。

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