Crop Yield Modeling Articles & Analysis
21 articles found
First, they identified areas of reduced and conventional tilling from previously published data outlining annual U.S. practices for 2005 to 2016. Using satellite-based crop yield models -- which take into account variables such as climate and crop life-cycles -- they also reviewed corn and soybean yields during ...
The Relationship Between LAI and Crop Yield Since leaves are essential for photosynthesis and produce the bulk of biomass, the number of leaves (and LAI) will also influence yield. Moreover, most crop simulation models will use LAI to predict yield, given its importance in estimating the effect ...
The Relationship Between LAI and Crop Yield Since leaves are essential for photosynthesis and produce the bulk of biomass, the number of leaves (and LAI) will also influence yield. Moreover, most crop simulation models will use LAI to predict yield, given its importance in estimating the effect ...
Running the numbers To assess climate change’s impact on maize production, the researchers took a multimodel approach, working combinations of global climate model predictions into an open-source crop model that simulates crop yields over successive growing seasons. ...
A study was carried out to assess the impact of climate change on yield and irrigation water requirement of these cereal crops in Bhaktapur, Nepal. Laboratory and soil-plant-air-water analysis showed silt-loam being the most dominant soil type in the study area. A yield simulation model, AquaCrop, was able to simulate the ...
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. ...
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 ...
This tool delivers optimised groundwater withdrawal scenarios considering saltwater intrusion as a result of agricultural and municipal water abstraction. It also yields a substantially improved water use efficiency of irrigated agriculture. To allow for a robust and fast operation we unified process modelling with artificial intelligence tools and evolutionary ...
Deficit irrigation can be applied in the field to save irrigation water and still lead to acceptable crop production. The AquaCrop model is a simulation model for management of irrigation and nitrogen fertilizer. ...
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. ...
The study was based on long-term climatic and crop productivity data, regional climatic scenarios and a crop simulation model. ...
The first crop chosen to parameterize and test the new FAO AquaCrop model is maize (Zea mays L.). ...
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. ...
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. ...
Anticipating a demand for switchgrass (Panicum virgatum L.) as a source for biofuel production, a crop simulation model of this crop can be a component of a biofuel decision support system. The objective of this effort was to develop and test a model for switchgrass, based on robust empirical relationships between plant behavior and the environment. The model simulates date of annual growth ...
The AquaCrop model was developed to replace the former FAO I&D Paper 33 procedures for the estimation of crop productivity in relation to water supply and agronomic management in a framework based on current plant physiological and soil water budgeting concepts. ...
This work was aimed at determining the optimum level of applied irrigation water (AIW) for cotton (Gossypium hirsutum L.) production in southern Spain under several climatic and agricultural policy scenarios. To generate the yield response to variations in AIW, we used the FAO crop water productivity (WP) model, AquaCrop. Model ...
Merr.] rotation from 1996 to 2005 was evaluated with the Root Zone Water Quality Model (RZWQM) for crop yield, grain N, annual N loss in tile drainage flow, and residual soil NO3–N under high (H, 199 kg N ha –1), medium (M, 138 kg N ha–1), and low (L, 69 kg N ha–1) N application rates shortly after planting, and a split (S, 69 kg N ha–1 shortly ...
The key concern was new analysis of the potential impact of climate change on Chinese agriculture. Earlier models suggested that higher atmospheric CO2 levels might “fertilize” crops and lead to higher yields. The models in the Fourth Assessment, however, suggested that climate change would not benefit Chinese agriculture but ...
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: Jaén, Córdoba, and Granada. Field floral phenological data were used to determine the ...