Leveraging Crop Budgets to Assess the Environmental Impact of Agricultural Operations

2021 ◽  
Vol 37 (4) ◽  
pp. 573-582
Author(s):  
Luke E Monhollon ◽  
Deepak R Keshwani

Highlights Agriculture Extension Resources should be used for regional life cycle assessments of agriculture. Fertilizer is the major contributing factor of environmental impact, when using a spatial functional unit. Ecoinvent may under-estimate the environmental impact of maize production. Abstract . Current attempts to quantify the sustainability of agricultural operations are hampered by the lack of information to adequately address variation of farming operations. Differences in weather, soil, local consumers, and transportation pathways affect the agricultural operation of a given parcel of land. These differences may significantly influence life cycle assessments involving agricultural systems. Agricultural extension publications and human expertise may fill gaps present in commonly utilized databases for environmental impact calculations. A methodology was developed integrating information from Nebraska Crop Budgets with Ecoinvent 3.6 in OpenLCA, to investigate pesticide production contribution and compare environmental impacts on a per acre and per bushel basis. Seven budgets were selected, outlining no-till corn production under no-rotation, soybean/corn rotation, and ecofallow schemes. Of thirteen tested pesticides, only five were greater than 5% of the total impact relative to 19-Corn in at least one impact category. Pesticide contribution was greatest for products containing multiple active ingredients and with higher yearly applied amounts. Exclusion of pesticide production in agricultural life cycle assessments may not significantly impact results. Relative impacts between budgets were greater than 83% on a per acre and per bushel basis compared to Ecoinvent, demonstrating life cycle assessments can be impacted by operational differences within similar production systems. Per acre impacts were 4% less to 227% greater than published maize grain production in Ecoinvent 3.6 for the United States. Per bushel impacts were similar at 6% to 280% greater. Result differences are dependent on the crop budget used and impact category considered. Fertilizer was the greatest contributor toward all tested categories. Per acre calculations were defined by applied nitrogen while per bushel calculations followed nitrogen productivity. With simple integration and specificity granted with crop budgets, extension resources should be used for region-specific life cycle assessments of agricultural and bio-based products to replace general assumptions. Keywords: Crop production, Extension, Food energy water nexus, Life cycle assessment, Sustainability.

2012 ◽  
Vol 22 (3) ◽  
pp. 275-279 ◽  
Author(s):  
Dewayne L. Ingram ◽  
R. Thomas Fernandez

System-level research has resulted in significant advancements in horticultural crop production. Contributions of individual components to production efficiency, cost, and environmental impact have been a focus of such research. Public awareness of the environmental impact of products and services is increasing. Life cycle assessment (LCA) is a tool to study horticultural crop production systems and horticultural services and their individual components on environmental impacts such as the carbon footprint, stated as global warming potential. This manuscript introduces LCA and describes how this tool can be used to generate information important to the industry and consuming public.


Author(s):  
Mohamed Nasser Baco

Previous studies suggested that maize is set to become a cash crop while ensuring food security better than any other crop. However, climate change has become one of the key production constraints that are now hampering and threatening the sustainability of maize production systems. We conducted a study to better understand changes here defined as adaptations made by smallholder farmers to ensure food security and improve income through maize production in a climate change context. Our results show that maize farmers in northern Benin mainly rely on traditional seeds. Drought as abiotic stress is perceived by farmers in many agro-ecological zones as a disruptive factor for crop production, including maize. When drought is associated with pest damages, both the quantity (i.e. yield) and the quality (i.e. attributes) of products/harvests are negatively affected. The adverse effects of drought continue to reduce production in different agro-ecological zones of the country, because of the lack of widespread adoption of tolerant varieties. The study suggests actions towards the production of drought-tolerant maize seeds, a promotion of seed companies, the organization of actors and value chains. Apart from climate change, the promotion of value chains is also emerging as one of the important aspects to take into account to sustain maize production in Benin.


Author(s):  
Roberto A. Ortega ◽  
Uma-Shankar Kalyan-Seshu ◽  
Bert Bras

Abstract In this paper, a decision support approach for designing a family of environmentally benign products for a ranged set of customer requirements is presented. More specifically, we incorporate environmental issues in order to minimize the environmental impact of products without sacrificing their performance characteristics and keeping competitive prices in comparison to existing products. The example problem consists of the design of a family of environmentally benign oil filters based on a variety of oil flow rate ranges. Environmental issues are represented by Life Cycle Assessments and comparisons of the existing alternatives based on their environmental impact. Emphasis is placed on highlighting the trade-off analysis for including environmental considerations in the design of a family of products and not on the results of the problem, per se.


2021 ◽  
Author(s):  
András Polgár ◽  
Karolina Horváth ◽  
Imre Mészáros ◽  
Adrienn Horváth ◽  
András Bidló ◽  
...  

<p>Crop production is applied on about half of Hungary’s land area, which amounts to approximately 4.5 million hectares. The agricultural activity has significant environmental impacts.</p><p>Our work aims the time series investigation of the impacts of large-scale agricultural cultivation<strong> </strong>on environment and primarily on climate change in<strong> </strong>the test area by applying environmental life cycle assessment (LCA) method.</p><p>The investigated area of Lajta Project can be found in the triangle formed by the settlements Mosonszolnok, Jánossomorja and Várbalog, in the north-western corner of Hungary, in Győr-Moson-Sopron county. The area has intense agri-environment characteristics, almost entirely lacking of grasslands and meadows.</p><p>We were looking for the answer to the question “To what extent does agricultural activity on this area impact the environment and how can it contribute to climate change during a given period?” The selection of the plants included in the analysis was justified by their significant growing area. We analysed the cultivation data of 5 crops: canola, winter barley, winter wheat, green maize and maize. Material flows of arable crop production technologies were defined in time series by the agricultural parcel register data. These covered the size of the area actually cultivated, the operational processes, records on seeds, fertilizer and pesticide use and harvest data by parcels. The examined environmental inventory database contained also the fuel consumption and lubricating oil usage of machine operations, and the water usage of chemical utilization.</p><p>In the life cycle modelling of cultivation, we examined 13 years of maize, 20 years of green maize, 20 years of winter barley, 18 years of winter wheat and 15 years of canola data calculated on 1 ha unit using GaBi life cycle analysis software.</p><p>In addition, we also calculated by an average cultivation model for all cultivated plants with reference data to 1 ha and 1 year period.</p><p>We applied methods and models in our life cycle impact assessment. According to the values of the impact categories, we set up the following increasing environmental ranking of plant cultivation: (1) canola has minimum environmental impacts followed by (2) green maize and (3) maize with slightly higher values, (4) winter barley has 6 times higher values preceded by (5) winter wheat with a slight difference. The previous environmental ranking of the specific cultivated plants’ contribution was also confirmed as regards the overall environmental impact: canola (1.0%) – green maize (4.9%) – maize (7.1%) – winter barley (43.1%) – winter wheat (44.0%).</p><p>Environmental impact category indicator results cumulated to total cultivation periods and total crop growing areas (quantitative approach) display the specific environmental footprints by crops. Increasing environmental ranking of environmental impacts resulted from cultivating the sample area is the following: (1) canola – (2) maize – (3) green maize – (4) winter barley – (5) winter wheat. The slight difference resulted in the rankings in quantitative approach according to the rankings of territorial approach on the investigated area is due to the diversity of cultivation time factor and the crop-growing parameter of the specific crops.</p><p>Acknowledgement: Our research was supported by the „Lajta-Project”.</p>


2008 ◽  
Vol 48 (3) ◽  
pp. 326 ◽  
Author(s):  
C. J. Birch ◽  
K. Stephen ◽  
G. McLean ◽  
A. Doherty ◽  
G. L. Hammer ◽  
...  

Maize may assume a more significant role in grain crop production systems in north-east Australia if the probability of producing low yields associated with given amounts of available water can be reduced. Growing hybrids with very early maturity provides a possible way to achieve this. Simulation studies of dryland maize production in areas of highly variable rainfall in north-east Australia were undertaken using long-term weather data input to the APSIM model configured for quick to medium maturity maize. The studies focussed on sowing time options, population density, cultivars, and water availability at sowing. Simulation outputs included predicted mean and median yield, measures of yield variability, and the probability of producing low to very low yield (<2 t/ha). The study showed that optimum sowing date varied with location, and that low populations gave more reliable production, despite some potential yield losses in favourable years. The results of the simulation study provide estimates of yield and thus economic viability of maize production that are interpreted in terms of seasonal variability. They indicate that maize is a viable dryland cropping option provided that cultivar, sowing time and starting water conditions are optimised. Non-optimal conditions of water supply at sowing should be avoided, as greater variability in yield and reduced viability are predicted.


2009 ◽  
Vol 17 (3) ◽  
pp. 354-361 ◽  
Author(s):  
J. Aubin ◽  
E. Papatryphon ◽  
H.M.G. van der Werf ◽  
S. Chatzifotis

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