切萨皮克湾流域将覆盖作物与玉米杂交时的权衡

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2023-06-01 DOI:10.1016/j.agsy.2023.103684
Curt A. McConnell, Rachel K.N. Rozum, Yuning Shi, Armen R. Kemanian
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引用次数: 0

摘要

在高纬度地区的年度种植系统中,冬季的提前限制了秋季覆盖作物的建立,并最终限制了它们提供的生态系统服务,如减少氮的浸出。将覆盖作物种植成常备经济作物可以在冬季来临前提高产量,但其做法在范围和规模上都是有限的。目的:为了在环境敏感的北美切萨皮克湾流域确定权衡并建立间播成功的区域模式,我们使用农业生态系统模型Cycles对覆盖作物间播到玉米(Zea mays L.)或玉米收获后常规播种的计算机系统进行了比较。方法在切萨皮克湾流域的153个县中,每个县都模拟了一块有代表性的田地,并在连续的玉米序列中播种黑麦草(Lolium perenne L.)、豆类混合物或豆类和黑麦草混合物。比较了覆盖作物情景和单一栽培玉米对照的模拟玉米产量、覆盖作物生物量生产、氮浸出减少和总氮损失。结果和结论模拟结果表明,常规播种覆盖作物不会影响次年的玉米产量。然而,当间种时,同一年对玉米产量的拖累平均为每Mg秋季覆盖作物生物量的6%。尽管玉米产量有所下降,但与无覆盖作物对照相比,间播使豆科作物的氮浸出率降低了10%,混合作物降低了25%,单独种植的黑麦草降低了50%。还有其他权衡,例如在使用豆类时,尽管养分捕获效果较差,但氮固定会抵消氮肥投入。无论覆盖作物类型如何,高达41°N纬度的间播往往与经济作物具有竞争力,但在该阈值以北(或向西进入更高海拔地区),当间播时,氮浸出的缓解似乎超过了农艺成本。重要意义这项研究提供了对流域尺度农艺和环境过程的有用见解,而不受建立大规模田间试验网络的限制。考虑到这些分析,未来适合间播地区的实地研究可以集中在具有低残留矿物质氮的高产田地中建立豆类覆盖作物,在具有残留矿物质N的施肥或低产田地中建立草覆盖作物,以及在氮供应不确定且需要预防性管理时两者混合。
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Tradeoffs when interseeding cover crops into corn across the Chesapeake Bay watershed

CONTEXT

In annual cropping systems at high latitudes, an early onset of winter limits the establishment of cover crops in fall and ultimately the ecosystem services they provide such as nitrogen (N) leaching reduction. Interseeding cover crops into a standing cash crop can improve establishment before winter, but its practice is limited in both scope and scale.

OBJECTIVE

To identify tradeoffs and establish regional patterns of interseeding success in the environmentally sensitive Chesapeake Bay Watershed of North America, we used the agroecosystem model Cycles to compare in silico systems in which cover crops were either interseeded into a standing crop of corn (Zea mays L.) or conventionally seeded after corn harvest.

METHODS

In each of the 153 counties contained in the Chesapeake Bay Watershed, a representative field was simulated and either seeded with ryegrass (Lolium perenne L.), a blend of legumes, or a mix of legumes and ryegrass in a continuous corn sequence. The simulated corn yield, cover crop biomass production, N leaching reduction, and total N losses were compared between the cover crop scenarios and a monoculture corn control.

RESULTS AND CONCLUSIONS

Simulations showed that conventionally seeded cover crops did not affect corn yields of the following year. However, when interseeded, the drag on corn yield in the same year averaged 6% per Mg of fall cover crop biomass. The corn yield reduction notwithstanding, interseeding reduced N leaching by 10% for legumes, 25% for the mix, and 50% for solo ryegrass compared to the no cover-crop control. There are other tradeoffs, such as an offset of N fertilizer inputs from N2 fixation when using legumes despite the less effective nutrient capture. Regardless of the cover crop type, interseeding up to latitude 41° N tends to be competitive with the cash crop, but north of that threshold (or west into higher elevations) the mitigation of N leaching when interseeding seems to outweigh agronomic costs.

SIGNIFICANCE

This study provides useful insight into watershed-scale agronomic and environmental processes without the constraints of establishing large-scale networks of field trials. Given these analyses, future field research in areas suitable for interseeding can focus on establishing legume cover crops in high-yielding fields with low residual mineral N, grass cover crops in manured or low-yielding fields with residual mineral N, and a mixture of both when N supply is uncertain and preventive management is needed.

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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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