crop yield modeling Articles
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Leveraging a spatio–temporal drought severity and coverage index with crop yield modelled as a stochastic process
An analysis of spatial and temporal variation of drought impact may offer an unbiased glimpse into factors that may dictate drought severity at an apt local scale. In this study drought indices, for example, drought severity and coverage index, ISC, and, a derived crop–based drought severity and coverage index, ISC,AG, were scaled down to county levels. Drought frequency analyses showed clear ...
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Climate change and wheat production in Argentina
The aim of this work is to assess the impact of past and future climate changes on wheat productivity in the Pampas region of Argentina. The study was based on long-term climatic and crop productivity data, regional climatic scenarios and a crop simulation model. Our results demonstrate that the potential wheat yield has been declining at increasing rates since 1930 mainly due to minimum ...
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Reduced soil tilling helps both soils and yields
Agriculture degrades over 24 million acres of fertile soil every year, raising concerns about meeting the rising global demand for food. But a simple farming practice born from the 1930's Dust Bowl could provide a solution, according to new Stanford research. The study, published Dec. 6 in Environmental Research Letters, shows that Midwest farmers who reduced how much they overturned the soil -- ...
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Modeling olive crop yield in andalusia, spain
Andalusia (southern Spain) is the largest olive (Olea europaea L.) oil producing region in the world. This study sought to identify the main factors influencing olive fruit production in this region, by modeling pollen release as an index of flowering intensity, field floral phenology data, and meteorological data over the fruiting season in three main olive-producing provinces of Andalusia: ...
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Aquacrop—the FAO crop model to simulate yield response to water
This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is water-driven, in that transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water ...
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Robust method for estimating grain yield in western Kenya during the growing seasons
Uncertainties caused by climate change and population explosion require suitable methods for estimating grain yield during the growing seasons. This paper evaluates the applicability of the AquaCrop model in the region of western Kenya. The objectives of the study were to: simulate the long-term maize crop yields for the region using AquaCrop model for variable climate scenarios, and estimate ...
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Irrigation water requirements for seed corn and coffee under potential climate change scenarios
The impact of potential future climate change scenarios on the irrigation water requirements (IRRs) of two major agricultural crops (coffee and seed corn) in Hawai'i was studied using the Irrigation Management System (IManSys) model. In addition to IRRs calculations, IManSys calculates runoff, deep percolation, canopy interception, and effective rainfall based on plant growth parameters, site ...
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AquaCrop—The FAO crop model to simulate yield response to water: III. Parameterization and testing for maize
The first crop chosen to parameterize and test the new FAO AquaCrop model is maize (Zea mays L.). Working mainly with data sets from 6 yr of maize field experiments at Davis, CA, plus another 4 yr of Davis maize canopy data, a set of conservative (nearly constant) parameters of AquaCrop, presumably applicable to widely different conditions and not specific to a given crop cultivar, was evaluated ...
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Validating the FAO aquaCrop model for irrigated and water deficient field maize
Accurate crop development models are important tools in evaluating the effects of water deficits on crop yield or productivity. The FAO AquaCrop model predicts crop productivity, water requirement, and water use efficiency (WUE) under water-limiting conditions. A set of conservative parameters [calibrated and validated for maize (Zea mays L.) in a prior study and considered applicable to a wide ...
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Simulated effects of Nitrogen management and soil microbes on soil Ntrogen balance and crop production
Searching for environmentally friendly N management practices in the midwestern United States is an ongoing task in the agricultural community. Many practices have shown promise in reducing N in tile drainage that may contribute to hypoxia in the Gulf of Mexico. In this study, an agricultural system in central Iowa, managed using a corn (Zea mays L.)–soybean [Glycine max (L.) Merr.] rotation from ...
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The Importance of Leaf Area Index (LAI) in Environmental and Crop Research
Leaf Area Index (LAI), which is used as a measure in hundreds of studies on forests, crops, climate and the environment, is calculated as half the area of all leaves per unit area of ground. It is measured as the leaf area (m2 ) per ground area (m–2) and is unit-less. So, a plant with a LAI of 2 has an amount of leaves that can cover a given area two times. LAI is calculated for a plant or ...
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The importance of Leaf Area Index (LAI) in environmental and crop research
Leaf Area Index (LAI), which is used as a measure in hundreds of studies on forests, crops, climate and the environment, is calculated as half the area of all leaves per unit area of ground. It is measured as the leaf area (m2 ) per ground area (m–2) and is unit-less. So, a plant with a LAI of 2 has an amount of leaves that can cover a given area two times. LAI is calculated for a plant or ...
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Climate change to worsen drought, diminish corn yields in Africa
Original story at MIT News Nearly 25 percent of the world’s malnourished population lives in sub-Saharan Africa, where more than 300 million people depend on corn, or maize, as their main food source. Maize is the most widely harvested agricultural product in Africa and is grown by small farmers who rely heavily on rainwater rather than irrigation. The crop is therefore extremely sensitive ...
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