Impacts of rotation, tillage, cover cropping, and drainage on soil health in soybean-based cropping systems: Evidence from 4–50-year trials across the US

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Tatiane Severo Silva , Lindsay Chamberlain Malone , Matthew D. Ruark , Chad D. Lee , David Jordan , Hanna J. Poffenbarger , Herman J. Kandel , Jeremy Ross , John M. Gaska , Joseph G. Lauer , Laura E. Lindsey , Maninder Pal Singh , Mark A. Licht , Michael Plumblee , Rachel A. Vann , Rodrigo Werle , Spyridon Mourtzinis , Seth L. Naeve , Trenton L. Roberts , Shawn P. Conley
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引用次数: 0

Abstract

Recent studies highlight conservation management practices as an effective strategy to enhance soil health. However, results vary, particularly regarding which soil health parameters respond most sensitively to these practices. More studies covering a wide range of soil types and climatic conditions are needed to assist farmers in making management decisions on production practices related to soil health. In this study, we collected soil samples (0–15 cm) from 21 (4–50 years) soybean [Glycine max (L.) Merr.]-based cropping systems trials across the United States (US) to assess the impact of management practices on soil health indicators. Soil indicators included wet aggregate stability (WAS), permanganate oxidizable carbon (POXC), organic matter loss-on-ignition (OM-LOI), mineralizable carbon (Min-C), water extractable organic carbon (WEOC), total organic carbon (TOC), soil extractable protein (ACE-N), total nitrogen (TN), pH, soil test phosphorus (STP), and soil test potassium (STK). Our objectives were: (i) to assess the effects of crop rotation, tillage, cover cropping, and artificial drainage on soil health; (ii) to inform soybean farmers about the management practices that are associated with improvements on soil health; and (iii) to develop and share a unique and open soil health dataset with the research community for future global meta-studies. To assess the effects of management practices on soil health indicators, both meta-analysis approach and linear mixed-effect models were used. Two-crop rotations were associated with greater STP values compared to a single-crop. The inclusion of cover crops was associated with greater Min-C and WEOC compared to no cover crops. No-tillage showed more acidic pH than conventional tillage. The remaining soil health indicators tested did not change in response to the management practices assessed. There were no statistically significant differences in observed soil tests between tile-drained and undrained treatments. Overall results suggest that cover crops can play an important role in building soil health in soybean-based cropping systems. Our open-access dataset provides a valuable resource for future research and meta-studies, ultimately contributing to the development of more effective management strategies for promoting more sustainable soybean cropping systems.
轮作、耕作、覆盖种植和排水对大豆种植系统土壤健康的影响:来自美国4 - 50年试验的证据
最近的研究强调,保护管理措施是提高土壤健康的有效策略。然而,结果各不相同,特别是在哪些土壤健康参数对这些做法反应最敏感方面。需要对广泛的土壤类型和气候条件进行更多的研究,以帮助农民就与土壤健康有关的生产做法作出管理决策。在这项研究中,我们收集了21(4-50年)大豆[Glycine max (L.)]土壤样品(0-15 cm)。稳定。在美国各地进行的基于]的种植制度试验,以评估管理实践对土壤健康指标的影响。土壤指标包括湿团聚体稳定性(WAS)、高锰酸盐可氧化碳(POXC)、有机质着火损失(OM-LOI)、矿化碳(Min-C)、水可提取有机碳(WEOC)、总有机碳(TOC)、土壤可提取蛋白质(ACE-N)、总氮(TN)、pH、土壤试磷(STP)和试钾(STK)。我们的目标是:(i)评估轮作、耕作、覆盖种植和人工排水对土壤健康的影响;(二)向大豆种植者通报与改善土壤健康有关的管理做法;(三)开发并与研究界共享一个独特和开放的土壤健康数据集,用于未来的全球元研究。为了评估管理实践对土壤健康指标的影响,采用了元分析方法和线性混合效应模型。两季轮作与单季轮作相比,STP值更高。与没有覆盖作物相比,覆盖作物与更高的Min-C和WEOC相关。免耕比常规耕作的pH值偏酸。所测试的其余土壤健康指标没有因评估的管理做法而改变。在瓦片排水处理和不排水处理之间,观察到的土壤试验没有统计学上的显著差异。综上所述,覆盖作物在以大豆为基础的种植系统中可以发挥重要的土壤健康作用。我们的开放获取数据集为未来的研究和元研究提供了宝贵的资源,最终有助于制定更有效的管理策略,以促进更可持续的大豆种植系统。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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