Organisation spatiale des activités agricoles et processus environnementaux (Science update) (French

Basis of the global spatial soil information system Dominique Arrouays, Neil McKenzie, Jon Hempel Marseille, June , library of L.M.D, Ecole polytechnique, Palaiseau, France, 14 pp. In: Organisation spatiale des activités agricoles et processus environnementaux. Science Update, INRA Editions: –
Table of contents

Which decision support tools for the Environmental Management of nitrogen? A model-based approach for optimizing segregation of soft wheat in country elevators. Evaluation of the crop model STICS to recommend nitrogen fertilization rates according to agro-environmental criteria. Calculating N fertilizer rates for oil-seed rape using plant and soil data.

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Agronomy for Sustainable Development Comparison of risk indicators for sclerotinia control in oilseed rape. Agricultural water nonpoint pollution control under uncertainty and climate variability. European Journal of Plant Pathology Maximum likelihood inference and bootstrap methods for plant organ growth via multi-phase kinetic models and their application to maize. Annals of Botany Predicting the risk of weed infestation in winter oilseed rape crops. Journal of Agricultural, Biological, and Environmental Statistics 11 1: Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model predictions.

Reliability Engineering and System Safety A new method to analyse relationships between yield components with boundary lines. Modelling land use strategies to optimize crop production and protection of ecologically important weed species. Evaluation of models to predict take-all incidence on winter wheat as a function of cropping practices, soil, and climate. An interacting particle filter to improve model-based predictions of nitrogen nutrition index for winter wheat. Is it useful to combine measurements taken during the growing season with a dynamic model to predict the nitrogen status of winter wheat?

European journal of Agronomy A Bayesian approach to assess the accuracy of a diagnostic test based on plant disease measurement. Comparison of models and indicators for categorizing soft wheat fields according to their grain protein contents. European Journal of Agronomy 29, Comparison of stepwise selection and Bayesian model averaging for yield gap analysis. Ecological Modelling , A model of Lumbricus terrestris population dynamics in agricultural fields Ecological Modelling , Methodological progress in on-farm regional agronomic diagnosis.

Agri-environmental indicators to assess cropping and farming systems. Mixing plant species in cropping systems: Agronomy for Sustainable Development 29, Transmittance measurements can improve predictions of the nitrogen status for winter wheat crop. Field Crop Research , Multifunctional agriculture — From farm diagnosis to farm design and institutional innovation.

Journal of Environmental Management 90, SS Measuring the accuracy of agro-environmental indicators. Agriculture, Ecosystem and Environment , Factors limiting grain protein content of organic winter wheat in South-eastern France: Multivariate global sensitivity analysis for dynamic crop models. Accuracy and cost of models predicting bird distribution in agricultural grasslands.

The benefits of using quantile regression for analyzing the effect of weeds on organic winter wheat. Weed Research 50, A cost effectiveness approach to identify cheap and accurate indicators to assess livestock impact on biodiversity. Risk Analysis 30, Improving weed population model using a sequential Monte Carlo method. Weed Research 50, Lamboni M. Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models. Uncertainty and sensitivity analysis for models used in pest risk analysis.

Facing up to the paradigm of ecological intensification in agronomy: Revisiting methods, concepts and knowledge. European Journal of Agronomy 34, Effects of training dataset characteristics on the performance of models for predicting the distribution of Diabrotica virgifera virgifera. Plos One 6, Predicting invasion success in forest pathogenic fungi from species traits. Estimation of wetness duration requirements of foliar fungal pathogens with uncertain data. Application to Mycosphaerella nawae. Assessment of the quality of the meta-analysis in agronomy. Pea—wheat intercrops in low-input conditions combine high economic performances and low environmental impacts.

European Journal of Agronomy 40, 39— Quantifying uncertainties in N2O emission due to N fertilizer application in cultivated areas. Plos One 7 Searching for a more sensitive earthworm species to be used in pesticide homologation tests — a meta-analysis. Chemosphere 90 — An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems. Environmental Modelling and Software 39, Modelling climate change impact on Septoria tritici blotch in France: Agricultural and Forest Meteorology, , Prediction of N2O emission from local information with Random Forest.

Environmental Pollution , Climatic impacts of winter wheat yields in Picardy, France and Rostov, Russia: Modeling long term yield trends of Miscanthus x giganteus using experimental data from across Europe. Uncertainty and sensitivity analysis in quantitative pest risk assessments; practical rules for risk assessors. Comparison of statistical models for analyzing wheat yield time series.


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Plos one 8 Reduction of pesticide use can increase earthworm populations in wheat crops in a European temperate region. Agriculture Ecosystem and Environment , Global agronomy, a new field of research. Agronomy for Sustainable Development. How do various maize crop models vary in their responses to climate change factors? Global Change Biology A meta-analysis of the predicted effects of climate change on wheat yields using simulation studies.

Field Crop Research , — Comparison of statistical models in a meta-analysis of fungicide treatments for the control of citrus black spot caused by Phyllosticta citricarpa. European journal of plant pathology , 79—94 Hossard L. Effects of having pesticide use on wheat production. Scientific Reports 4, doi: Meta-analysis of the effect of nitrogen fertilization on annual cereal-legume intercrop production. Predicting N2O emission with random effect models. Decomposing global crop yield variability.


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Environmental Research Letters 9 doi: Ranking yields of energy crops: Estimating variability in grain legume yields across Europe and the Americas. Temporal niche differentiation increases the land equivalent ratio of annual intercrops: Using site-specific data to estimate energy crop yield. A statistical analysis of ensembles of crop model responses to climate change factors.

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Agriculture and Forest Meteorology —, — Vogel L. Modeling the effect of soil meso- and macropores topology on the biodegradation of a soluble carbon substrate. Advances in Water Resouces. Dynamic models for bird community in farming landscapes. Environmental Modeling and Assessment 21 3 , A Bayesian approach to model dispersal for decision support. Conventional and Organic systems. Van der Velde M. Identification of accurate indicators for extreme wheat and maize yield loss.

Agriculture and Forest Meteorology , Estimating the incidence of Septoria tritici in wheat crops from in-season measurements. European journal of Plant Pathology. Spatially explicit estimates of N2O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management.

Global Change Biology 22 — Analysis of the trade-off between high crop yield and low yield instability at the global scale.


  • Voir aussi.
  • Unité Agronomie - centre Versailles-Grignon - Makowski.
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Environmental Research Letter 11 Robust increases of land equivalent ratio with temporal niche differentiation: Agronomy Journal Field Crop Research , — Lechenet M. Profiling farming management strategies with contrasting pesticide use in France. Agricultural Systems 40—53 Cernay C.

A global experimental dataset for assessing grain legume production. Scientific data 3, Books, special issues, and thesis Makowski D. Models and statistical methods for optimizing nitrogen fertilization. Working with dynamic crop models. Book written in collaboration with the University of Florida. Guest editors of the special issue 90 supplement 2 of Journal of Environmental Management.

Makowski D, Monod H. Analyse statistique des risques agro-environnementaux. It can perhaps be controlled by biological engineering. Based on a precise diagnosis of the environmental conditions, this is the first practical and strategic guide to biological engineering in France, adapted to the torrential context. This book compiles the results of multidisciplinary studies carried out by Inra research teams dealing with the integration of space in the organisation of environmental processes. Based on concrete examples: How can we transpose anti-erosion techniques implemented in the United States to our French-style regional environment that is faced with increasingly serious erosion problems?

The topics and areas discussed in this document are hydrology, torrential hydraulics, the study of erosion phenomena, natural or artificially-introduced vegetation and corresponding pedological developments. The aim of the seminar, organised in My account Empty cart.

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Restaurer les milieux et prévenir les inondations grâce au génie végétal

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