Effects of cover crops on soil moisture dynamics of a corn cropping system

Sidath S. Mendis , Ranjith P. Udawatta , Stephen H. Anderson , Kelly A. Nelson , Ronald L. Cordsiemon II
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引用次数: 3

Abstract

Climate change induced rainfall patterns have increased environmental extremities such as severe droughts and floods which can affect volumetric soil moisture content (θ), thus food security. Integrating cover crops (CC) with cropping systems can help mitigate these extreme conditions and improve soil water availability. The objective of this study was to evaluate the CC effects on the θ of a corn (Zea mays L.) cropping system. The study was conducted at the USDA Elsberry Plant Material Center, Missouri, USA, with three treatments: no-till cover crop (NC), conventional till no cover crop (CN), and no-till no cover crop (NN). Cereal rye (Secale cereale L.), crimson clover (Trifolium incarnatum L.), and daikon radish (Raphanus sativus L. var. Longipinnatus) CC mixture was established in the NC treatment in 2019 (first CC establishment). Spectrum Technologies Water Scout SM100 soil moisture sensors installed at 5-, 10-, 20- and 40-cm soil depths monitored θ in 15 min intervals throughout the study period. Numerically and significantly greater θ values were observed in the CN treatment than NC and NN at the first three depths during most of the study period. The NC treatment maintained higher θ than NN at all the studied depths during growing periods and were significantly different during some weeks. Results indicate that long-term use of CC can improve soil moisture dynamics of corn cropping systems through improved soil organic matter and would be a viable solution in soil moisture conservation and improving soil security.

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覆盖作物对玉米种植系统土壤水分动态的影响
气候变化引起的降雨模式增加了严重干旱和洪水等环境极端因素,从而影响土壤体积水分含量(θ),从而影响粮食安全。将覆盖作物(CC)与种植系统相结合可以帮助缓解这些极端条件并改善土壤水分的可用性。本研究的目的是评价CC对玉米(Zea mays L.)种植系统θ的影响。本研究在美国密苏里州美国农业部Elsberry植物材料中心进行,采用免耕覆盖作物(NC)、传统免耕不覆盖作物(CN)和免耕不覆盖作物(NN)三种处理。2019年,在NC处理下建立了谷物黑麦(Secale cereale L.)、深红色三叶草(Trifolium incarnatum L.)和白萝卜(Raphanus sativus L. var. Longipinnatus) CC混合物(首次建立CC)。Spectrum Technologies Water Scout SM100土壤湿度传感器安装在5、10、20和40厘米的土壤深度,在整个研究期间每隔15分钟监测一次θ。在大多数研究期间,在前三个深度,CN处理的θ值明显大于NC和NN。在生长期间,NC处理在各研究深度的θ值均高于NN处理,在某些周内差异显著。结果表明,长期使用CC可通过改善土壤有机质来改善玉米种植系统的土壤水分动态,是保持土壤水分和提高土壤安全的可行方案。
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来源期刊
Soil security
Soil security Soil Science
CiteScore
4.00
自引率
0.00%
发文量
0
审稿时长
90 days
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