James W Jones

James W Jones
University of Florida | UF · Department of Agricultural and Biological Engineering

PhD

About

460
Publications
245,271
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27,285
Citations

Publications

Publications (460)
Conference Paper
Full-text available
The paper is about using crop simulation models and GIS to study the climate change effects in the SouthEastern USA.
Article
In-silico plant modeling is the use of dynamic crop simulation models to evaluate hypothetical plant traits (phenology, processes and plant architecture) that will enhance crop growth and yield for a defined target environment and crop management (weather, soils, limited resource). To be useful for genetic improvement, crop models must realisticall...
Article
Unique capabilities of various systems for studying the impacts of rising atmospheric carbon dioxide concentration [CO2] and other environmental factors on growth and yield of plants are presented. These systems include Soil‐Plant‐Atmosphere Research (SPAR) chambers, Free‐Air CO2 Enrichment (FACE) facilities, Temperature‐Gradient Greenhouses (TGG),...
Book
Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, 3e, is a complete guide to working with dynamic system models, with emphasis on models in agronomy and environmental science. The introductory section presents the foundational information for the book including the basics of system models, simulation, th...
Article
In West Africa's highly weathered soils, plant-available soil-P levels determine sorghum performance and yield to a far greater extent than projected variability in climate. Despite local landrace varieties having excellent adaptation to the environment and a relatively stable yield, sorghum grain yield remains quite low, averaging less than 1 t ha...
Article
Full-text available
Greenhouse technology is a flexible solution for sustainable year-round cultivation of Tomato (Lycopersicon esculentum Mill), particularly in regions with adverse climate conditions or limited land and resources. Accurate knowledge about plants requirements at different growth stages and light condition can contribute to design of adaptive control...
Data
Weather file for the five sites: (Citra, FL (CT); Palmira, Colombia (PA); Popayan, Colombia (PO); Isabela Puerto Rico (PR); and Prosper, North Dakota (ND))
Data
Molecular markers (QTL) used in the GB-CBM with RF, MSNOD_max, and NAR dynamic QTL effect models
Article
Effects of future expansion/intensification of irrigated agriculture on groundwater and surface water levels and availability in a semi-arid watershed were evaluated using an integrated hydrologic model (MIKE SHE/MIKE 11) in conjunction with biophysical measurements. Improved water use efficiency, water storage, and energy policy options were evalu...
Article
Full-text available
The next generation of gene-based crop models offers the potential of predicting crop vegetative and reproductive development based on genotype and weather data as inputs. Here, we illustrate an approach for developing a dynamic modular gene-based model to simulate changes in main stem node numbers, time to first anthesis, and final node number on...
Article
Food, energy, and water systems interact extensively, giving rise to the term “food-energy-water (FEW) nexus,” with the term “nexus” signifying connectedness and interrelationships. A systems approach involving multidisciplinary and transdisciplinary teams and partnerships is needed to address complex challenges of the nexus. A concurrent cyber-phy...
Article
The data set includes a current representative management treatment from detailed, quality-tested sentinel field experiments with wheat from four contrasting environments including Australia, The Netherlands, India and Argentina. Measurements include local daily climate data (solar radiation, maximum and minimum temperature, precipitation, surface...
Article
Full-text available
Crop models are valuable tools for evaluating past genetic improvement as well as guiding future breeding strategies for target regions. The objective of this study was to use the CSMCROPGRO- Peanut model to evaluate traits responsible for genetic improvement of peanut (Arachis hypogaea L.) genotypes grown in West Africa. Data on19 cultivars were o...
Article
Full-text available
Application of crop simulation models at larger spatial scales is very essential to develop best management practices in order to maximize yields and reduce environmental pollution. In the present study, spatial analysis of long-term simulations were carried out with DSSAT spatial analysis tool linked with GIS to estimate irrigation requirements an...
Chapter
Full-text available
Many simulation studies have been carried out to predict the effect of climate change on crop yield. Typically, in such study, one or several crop models are used to simulate series of crop yield values for different climate scenarios corresponding to different hypotheses of temperature, CO2 concentration, and rainfall changes. These studies usuall...
Chapter
This chapter describes the AgMIP approach to achieving data interoperability across multiple crop models, which consists of establishing an efficient standardized data-exchange mechanism with specifications defined in accordance with international standards; implementing a flexibly structured data schema to store experimental datasets; and providin...
Article
Full-text available
Crop insurance is one of the strategies producers can use to reduce risk of income loss due to climate variability. The best approach for reducing risks involves a combination of crop insurance with a pre-harvest marketing plan that includes strategies like hedging and forward contracting. A producer's choice among strategies is often complicated w...
Article
Full-text available
Accurate prediction of phenological development in maize (Zea mays L.) is fundamental to determining crop adaptation and yield potential. A number of thermal functions are used in crop models, but their relative precision in predicting maize development has not been quantified. The objectives of this study were (i) to evaluate the precision of eigh...
Article
Crop models of crop growth are increasingly used to quantify the impact of global changes due to climate or crop management. Therefore, accuracy of simulation results is a major concern. Studies with ensembles of crop models can give valuable information about model accuracy and uncertainty, but such studies are difficult to organize and have only...
Article
Full-text available
Cropping systems models have evolved over the last four decades in response to the demand for modeling to address more complex questions, including issues on sustainable production, climate change, and environmental impacts. Early models, which were used primarily for yield gap analysis, have increased in complexity to include not only nutrient and...
Article
Enhanced understanding of rainfall variability requires high resolution observations, yet most weather networks are unable to capture rainfall gradients that are important for modelling and decision-making. Using a network of 46 rain gauges over an area of 3100 km2 in southwest Georgia, this study evaluated different rainfall characteristics, inclu...
Article
Full-text available
Climate change represents an unavoidable and growing challenge to food security, imposing new adaptation imperatives on all farmers. Maize is arguably the world's most productive grain crop, as measured by grain yield. However, maize yields vary dramatically due to many factors, including soils, climate, pests, disease, agronomic practices, and see...
Article
The accurate simulation of N cycle in winter cover crop–maize rotations can help to study management practices aimed at reducing N leaching. A lysimeter and field experiment were used to calibrate and test the model under irrigated Mediterranean conditions. Thereafter, the model was used to evaluate the impact of cover crop–maize rotations on N lea...
Article
A generic agricultural drought index, called Agricultural Reference Index for Drought (ARID), was designed recently to quantify water stress for use in predicting crop yield loss from drought. This study evaluated ARID in terms of its ability to predict crop yields. Daily historical weather data and yields of cotton, maize, peanut and soybean were...
Article
Full-text available
Dynamic simulation models can increase research efficiency and improve risk management of agriculture. Crop models are still little used for sugarcane (Saccharum spp.) because the lack of understanding of their capabilities and limitations, lack of experience in calibrating them, difficulties in evaluating and using models, and a general lack of mo...
Article
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, gro...
Conference Paper
Full-text available
Recognizing that climate change will affect agricultural systems both through mean changes and through shifts in climate variability and associated extreme events, we present preliminary analyses of climate impacts from a network of 1137 crop modeling sites contributed to the AgMIP Coordinated Climate-Crop Modeling Project(C3MP).At each site sensit...
Article
Full-text available
Here we present the results from an intercomparison of multiple global gridded crop models (GGCMs) within the framework of the Agricultural Model Intercomparison and Improvement Project and the Inter-Sectoral Impacts Model Intercomparison Project. Results indicate strong negative effects of climate change, especially at higher levels of warming and...
Book
Full-text available
This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available method...
Article
Climate change is projected to push the limits of cropping systems and has the potential to disrupt the agricultural sector from local to global scales. This article introduces the Coordinated Climate-Crop Modeling Project (C3MP), an initiative of the Agricultural Model Intercomparison and Improvement Project (AgMIP) to engage a global network of c...
Article
Full-text available
Simplified approaches to modeling crop growth and development have recently received more attention due to increased interest in applying crop models at large scales for various agricultural assessments. In this study, we integrated the simple version of SALUS (System Approach to Land Use Sustainability) crop model in the widely-used Decision Suppo...
Article
Projections of climate change impacts on crop yields are inherently uncertain. Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate. However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop sim...
Article
Projections of climate change impacts on crop yields are inherently uncertain. Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate. However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop sim...
Article
Crop growth models dynamically simulate processes of C, N, and water balance on daily or hourly time-steps to predict crop growth and development and ultimately, yield. Their ability to integrate effects of genetics, environment and crop management have led to applications ranging from understanding gene function to predicting potential impacts of...
Article
Full-text available
Drought forecasting can aid in developing mitigation strategies and minimizing economic losses. Drought may be forecast using a drought index, which is an indicator of drought. The agricultural reference index for drought (ARID) was used as a tool to investigate the possibility of using climate indices (CIs) as predictors to improve the current lev...
Article
Full-text available
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international effort linking the climate, crop, and economic modeling communities with cutting-edge information technology to produce improved crop and economic models and the next generation of climate impact projections for the agricultural sector. The goals of AgMI...
Article
The 2012 growing season saw one of the worst droughts in a generation in much of the United States and cast a harsh light on the need for better analytic tools and a comprehensive approach to predicting and preparing for the effects of extreme weather on agriculture. We present an example of a simulation-based forecast for the 2012 US maize growing...
Article
Full-text available
Crop models are one of the most commonly used tools to assess the impact of climate variability and change on crop production. However, before the impact of projected climate changes on crop production can be addressed, a necessary first step is the assessment of the inherent uncertainty and limitations of the forcing data used in these crop models...
Article
Full-text available
The objective of this study was first to understand how ENSO seasonal change interacts with grass production and cow-calf production in north central Florida, and second, what management decisions ranchers could make to reduce risk and vulnerability, thus taking advantage of improved forecasts. For this study, 38 ranchers and 41 extension agents we...
Conference Paper
Full-text available
The Florida Climate Consortium (FLC) 1 , whose goals are production and application of seasonal to inter-annual climate forecasts, include the Florida State University, the University of Florida, and the University of Miami. The FLC was formed in 1997, primarily with funding from NOAA. In 1999, the FLC shifted its focus from South America to the So...
Article
Full-text available
El Instituto de Alimentos y Ciencias Agrícolas es un empleador que opera bajo Acción Afirmativa y provee Oportunidades Igualitarias, autorizado a proveer investigación, información educativa y otros servicios, únicamente a los individuos e instituciones que operan sin discriminación alguna con relación al credo, color, religión, edad, incapacidad,...