通过植被指数敏感性分析评估玉米(Zea mays L.)管理措施

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE
K. Colton Flynn , Douglas R. Smith , Trey O. Lee , Doris Laguer-Martinez , Shengfang Ma , Yuting Zhou
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引用次数: 0

摘要

保护性农业和可持续农艺原则包括几种管理方法,如覆盖种植、免耕和替代施肥量。每种做法都能改变农业生产率,促进未来农业的可持续发展,并保护环境。这些管理方法都是可以应用于玉米(Zea mays L., corn)生产的重要理念。这项为期三年(2018-2020 年)的研究旨在比较位于德克萨斯州里瑟尔的两块田地在不同管理方法和降水条件下的玉米健康状况。第一块田地采用 "一切照旧 "的操作方法,其特点是实施耕作、以最大施肥量(10.06 兆克/公顷)施肥以及不种植覆盖作物。第二块田采用了 "理想 "耕作技术,即不耕作、不种植覆盖作物,并采用其他施肥方法。每块田地都采用了卫星遥感方法,包括归一化差异植被指数 (NDVI)、增强植被指数 (EVI) 和归一化差异红边 (NDRE)。对指数进行了敏感性分析,以确定在不同管理和降水条件下玉米最敏感的指数。在不同管理和降雨条件下,最敏感指数(EVI)可作为玉米健康时间序列分析的替代指标。结果表明,在采用理想管理的情况下,玉米的健康状况会随着时间的推移而得到改善,尽管 "一切照旧 "的管理方式会带来更高的产量。不过,持续时间更长的研究可以说明长期实施所带来的好处。尽管如此,考虑到投入量(即肥料)的生产率比较表明,理想管理的效率每年都在提高。这些研究结果表明,通过实施免耕和覆盖作物改善土壤健康等因素有助于田间健康、效率和在不同降水条件下的适应能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating maize (Zea mays L.) management practices implementing sensitivity analysis of vegetation indices

Conservation agriculture and sustainable agronomic principles include several management practices such as cover cropping, no-till, and alternative fertilization rates. Each of these practices can result in changes among agricultural productivity, sustainability for future farming, and protections for the environment. These management practices are important concepts that can be applied in the production of maize (Zea mays L., corn). The aim of this three-year study (2018–2020) was to compare maize health across two fields located in Riesel, TX under varying management approaches and precipitation conditions. The first field utilized ‘business as usual’ operations characterized by the implementation of tillage, fertilization at a maximum rate (10.06 Mg/ha), and no cover crops. The second field utilized ‘aspirational’ cultivation techniques categorized by no tillage, cover crops, and an alternative method for rate of fertilization. Each field was subject to satellite-based remote sensing methods incorporating Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Normalized Difference Red Edge (NDRE). Indices were subject to sensitivity analyses to determine the most sensitive index for maize under various managements and precipitation conditions. The most sensitive index (EVI) served as a proxy for time series analysis for maize health under the varying managements and rainfall conditions. The results suggest improvements to maize health are experienced over time when aspirational managements are employed, even though business as usual management resulted in higher yields. However, studies with greater duration could point to these perceived benefits over a long-term implementation. Nevertheless, productivity comparisons considering amount of input (i.e. fertilizer) suggests an increase in efficiency each year for the aspirational management. These findings suggest factors such as improved soil health from implementation of no-till and cover crops contribute to field health, efficiencies, and resiliency across varying precipitation conditions.

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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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