Rainfed agriculture in Senegal is heavily affected by weather-related risks, particularly timing of start/end the rainy season. For climate services agriculture, National Meteorological Agency (ANACIM) has defined an onset season based on rainfall. In field, however, farmers do not necessarily follow ANACIM’s definition. To close gap between parallel efforts a information producer (i.e., ANACIM...

Simulations for root growth, crop growth, and N uptake in agro-hydrological models are of significant concern to researchers. SWMS_2D is one of the most widely used physical hydrologically related models. This model solves equations that govern soil-water movement by the finite element method, and has a public access source code. Incorporating key agricultural components into the SWMS_2D model ...

Under drought, substantial genotype-environment (G x E) interactions impede breeding progress for yield. Identifying genetic controls associated with yield response is confounded by poor genetic correlations across testing environments. Part of this problem is related to our inability to account for the interplay of genetic controls, physiological traits, and environmental conditions throughout...

massive amounts of information for plant breeding (Stuber et al., 1999; Miflin, 2000), an option of improving Crop modelers and geneticists have developed a vision of their roles breeding efficiency is to develop and utilize a thorough in plant breeding from their own perspective. However, to improve breeding efficiency, interdisciplinary collaboration becomes increasunderstanding of morphophys...

Landscape-scale variation is a source of information that increasingly is being taken into consideration in agricultural and environmental studies. Models that encompass and interpret this variation in ®elds and across contrasting management practices have the potential to improve the landscape management of agroecosystems. Our objective was to compare the results of two approaches, analysis of...

This study examines the water productivity of irrigated wheat and maize yields in Karkheh River Basin (KRB) in the semi-arid region of Iran using a coupled modeling approach consisting of the hydrological model (SWAT) and the river basin water allocation model (MODSIM). Dynamic irrigation requirements instead of constant time series of demand were considered. As the cereal production of KRB pla...

Over the years, modeling has become an integral part of plant disease epidemiology (or botanical epidemiology). As in other fields of research, modeling in plant disease epidemiology may serve very different purposes, including: synthesizing available data on epidemiological processes; predicting epidemiological patterns; developing a conceptual framework that captures available data; organizin...

The Agricultural Model Intercomparison and Improvement Project (AgMIP) seeks to improve the capability of ecophysiological and economic models to describe the potential impacts of climate change on agricultural systems. AgMIP protocols emphasize the use of multiple models; consequently, data harmonization is essential. This interoperability was achieved by establishing a data exchange mechanism...

Most of greenhouse growers desire a determined amount of yields in order to accurately meet market requirements. The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (tomato) yield using environmental variables; here we aim at giving accurate yield amount. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS is several parameters de...