François Affholder

Agro-écologie et intensification durable des cultures annuelles

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ÉS

Éric Scopel

Agropolis International

Marc Corbeels

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Damien Jourdain

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Gatien N. Falconnier

Agroécologie

Louise Leroux

Agroécologie

Jacques Wéry

Institut Agro Montpellier

Françoise Gérard

Institut de Recherche pour le Développement

Bertrand Muller

Laboratoire d'Écophysiologie Moléculaire des Plantes sous Stress Environnementaux

Benjamin Sultan

Regeneron (United States)

Fernando Antônio Macena da Silva

Brazilian Agricultural Research Corporation

Cooperative Institutions

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

137

Université de Montpellier

108

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Agropolis International

Institut Agro Montpellier

Agro-écologie et intensification durable des cultures annuelles

Agroécologie

Institut de Recherche pour le Développement

Institut Sénégalais de Recherches Agricoles

Fonctionnement et Conduite des Systèmes de Culture Tropicaux et Méditerranéens

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Contribuir con los sistemas ecológicos y sociales

IICA eBooks (2016)

Laurène Feintrenie François Affholder

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Rapport 1994 du comité de suivi de coopération CIRAD-CA/EMBRAPA-CPAC du projet "Connaissance et gestion des hydrosystèmes agricoles des Cerrados"

François Reyniers François Affholder Eduardo Delgado Assad Marcos César de Oliveira Santos

Cote d ivoire

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SOWING WINDOWS FOR A SPRING CROP INTRODUCED IN RICE CULTIVATION AREAS AFFECTED BY LOW TEMPERATURE AND RADIATION

Experimental Agriculture (2015)

Luu Ngoc Quyen François Affholder JENNIFER MONTAGNE Damien Jourdain Aude Ripoche

SUMMARY In mountainous areas of Continental South East Asia, double cropping in the irrigable valleys and terraces is often promoted as a way to increase farmers’ income while alleviating the pressure of agriculture on fragile slopes. However, cold temperature and low global radiation may constrain this strategy. Lethally cold events may occur, and increases in crop cycle length may jeopardize the correct timing of the main rice crop, taking place in summer. The model PYE (potential yield estimator) simulating the impact of temperature and radiation on the development and yield of annual crops was adapted to account for the range of temperature occurring in the area under study. It was calibrated against experimental data for the three crops that are most often considered as spring crops in the irrigable land of the northern mountains of Vietnam: rice, soybean and maize. Then a virtual experiment was designed in order to simulate various scenarios combining crop species and sowing date with climatic data accounting for variability of climate across years, location and elevation. Completed with a sensitivity analysis, it allowed to define favourable ‘sowing windows’ for non-water limited environments, based on the three following criteria: high average yield, low incidence over years of lethally cold events and low incidence over years of delays in the maturity of the spring crop. The length of this sowing window varied greatly across the scenarios tested. The widest was obtained for the case of soybean whatever the location and elevation, which makes it the less risky of the tested options. The approach followed proved effective to identify favourable and unfavourable environments in order to help better targeting the policy in support to the introduction of a spring crop in the mountains of Vietnam.

Elevation (ballistics)

Multiple cropping

10.1017/s0014479714000465

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Identify Lao farmers' goals and their ranking usingbest–worstscaling experiment and scale‐adjusted latent class models

Journal of Multi-Criteria Decision Analysis (2022)

Damien Jourdain Juliette Lairez François Affholder

Abstract In order to better design more sustainable farming systems, and prepare for the development of multi‐criteria farm decision model, we investigate how farmers rank their main goals when making decisions. First, we identified the main goals used by farmers through in‐depth interviews with randomly selected farmers in which we used small games to elicit the main goals they are using to make farm‐level decisions. Then, we developed a best–worst scaling (BWS) experiment, in which farmers have to declare the “most” and the least “important” goals they use when making decisions. The experiment was conducted with 120 farmers. We first derive a ranking of the goals according to the population average, which showed the importance of rice self‐sufficiency and transmission of farm capital. We then use a scale‐adjusted latent class analysis. We identified four groups of homogenous preferences among farmers. The use of differentiated scale, a measure of choice inconsistencies, suggested different levels of certainty about the ranking, and the presence of more inconsistencies when asking the least important goal. While a large group focuses only on rice self‐sufficiency, and farm transmission, we also identified a group of optimizers, and risk‐averse farmers. Farmers of each group are likely to behave differently with regard to sustainable innovations. We also showed that some socio‐economic variables describing the farms and the households influenced the probabilities for farmers to belong to one of the four classes. Overall, we showed that BWS scaling experiments provide a rich set of information about the diversity of rankings. It also provides the set of tools to evaluate the consistency and quality of respondents' choices.

Rank (graph theory)

Certainty

10.1002/mcda.1785

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Diagnosis of the productivity gap using a crop model. Methodology and case study of small-scale maize production in central Brazil

Agronomie (2003)

François Affholder Éric Scopel Jose Madeira Neto Alain Capillon

Crop Production

10.1051/agro:2003004

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Citations (41)

Adaptation à la technologie moderne

International Review of Administrative Sciences (1978)

François Affholder

10.1177/002085237804400110

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Modeling intercropping with cereals in smallholder agrosystems. From lessons learned in central Brazil to their application in the Peanut Basin in Senegal

A. Baldé Laure Tall Diouf Niokhor Bakhoum François Affholder C.C. Dauphin

In most areas of sub-humid tropics where the rainy period is too short to allow a system with a succession of crops, intercropping is an option to diversify culture and enhance agrosystems resiliency. However, interactions among associated crops (facilitation and/or competition) are complex, variable in time and will depend on the characteristics of each crop and the management of the whole system. Understanding and quantifying these complex interactions and their impacts on the agrosystem productivity require to consider temporal dimension. In fact, oneoff measures or entirely experimental approach cannot adequately answer these questions. However, crop modeling can complete experimental approaches by taking better account of changing interactions over time, allowing dynamic quantification of the flow of resources and their distribution. We will present an example of intercropping model with maize using STICS-CA model, adjusted calibrated and then evaluated for the Brazilian Cerrado system. We will then discuss on how to use a similar approach for millet-cowpea intercropping systems in the Senegalese peanut Basin.

Intercropping

Facilitation

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Risks of crop water stress in the Brazilian Cerrados: From regional zoning to risk analysis at smallholders’ level

HAL (Le Centre pour la Communication Scientifique Directe) (2006)

François Affholder Eduardo Delgado Assad Philippe Bonnal Fernando Antônio Macena da Silva Francis Forest

Water Stress

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Citations (2)