Results 21 to 30 of about 910,592 (309)

Optimum Sowing Window and Yield Forecasting for Maize in Northern and Western Bangladesh Using CERES Maize Model

open access: yesAgronomy, 2021
Determination of the optimum sowing window not only can improve maize yield significantly but also can fit maize in the existing cropping pattern. To get the advantages of sowing maize at the optimum time, a study was designed and carried out at the ...
Apurba Kanti Choudhury   +13 more
doaj   +1 more source

The Estimation of Regional Crop Yield Using Ensemble-Based Four-Dimensional Variational Data Assimilation

open access: yesRemote Sensing, 2014
To improve crop model performance for regional crop yield estimates, a new four-dimensional variational algorithm (POD4DVar) merging the Monte Carlo and proper orthogonal decomposition techniques was introduced to develop a data assimilation strategy ...
Zhiwei Jiang   +5 more
doaj   +1 more source

Probabilistic modeling of crop-yield loss risk under drought: a spatial showcase for sub-Saharan Africa

open access: yesEnvironmental Research Letters, 2022
Assessing the risk of yield loss in African drought-affected regions is key to identify feasible solutions for stable crop production. Recent studies have demonstrated that Copula-based probabilistic methods are well suited for such assessment owing to ...
Bahareh Kamali   +5 more
doaj   +1 more source

Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images

open access: yesRemote Sensing, 2015
Regional analysis of water use efficiency (WUE) is a relevant method for diagnosing the performance of irrigation systems in water-limited environments. In this study, we investigated the potential of FORMOSAT-2 images to provide spatial estimates of WUE
Benoit Duchemin   +7 more
doaj   +1 more source

Grain yield optimisation in the Plain of Reeds in the context of climate variability

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental, 2021
The Plain of Reeds is a large floodplain in the Mekong Delta, where natural disasters such as droughts, off-season rainfall and floods have dramatically increased, leading to declining in crop yields.
T. A. Dang
doaj   +1 more source

Stomatal development in the grasses: lessons from models and crops (and crop models) [PDF]

open access: yesNew Phytologist, 2020
SummaryWhen plants emerged from their aquatic origins to colonise land, they needed to avoid desiccation while still enabling gas and water exchange with the environment. The solution was the development of a waxy cuticle interrupted by epidermal pores, known as stomata.
Katelyn H. McKown, Dominique C. Bergmann
openaire   +2 more sources

Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity

open access: yesAgriculture, 2019
Sensitivity analysis (SA) is often applied to evaluate the behavior of ecological models in which the integrated soil and crop processes often vary over time.
Xenia Specka, Claas Nendel, Ralf Wieland
doaj   +1 more source

A unifying concept for the dependence of whole-crop N:P ratio on biomass : theory and experiment [PDF]

open access: yes, 2008
Background and Aims: Numerous estimates have been made of the concentrations of N and P required for good growth of crop species but they have not been defined by any unifying model.
Boldrini, Arianna   +5 more
core   +2 more sources

Ecophysiological Crop Modelling Combined with Genetic Analysis Is a Powerful Tool for Ideotype Design

open access: yesAgronomy, 2022
Improving the grain yield of crops in both favourable and stressful environments is the main breeding objective required to ensure food security.
Junfei Gu
doaj   +1 more source

Crop rotation modelling—A European model intercomparison

open access: yesEuropean Journal of Agronomy, 2015
Diversification of crop rotations is considered an option to increase the resilience of European crop production under climate change. So far, however, many crop simulation studies have focused on predicting single crops in separate one-year simulations. Here, we compared the capability of fifteen crop growth simulation models to predict yields in crop
Kollas, Chris   +40 more
openaire   +7 more sources

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