Role of input self-suffi ciency in the economic and environmental sustainability of specialised dairy farms

Un article paru dans Animal en décembre 2014 : S1751731114002845a

Increasing input self-sufficiency is often viewed as a target to improve sustainability of dairy farms. However, few studies have specifically analysed input self-sufficiency, by including several technical inputs and without only focussing on animal feeding, in order to explore its impact on farm sustainability. To address this gap, our work has three objectives as follows: (1) identifying the structural characteristics required by specialised dairy farms located in the grassland area to be self-sufficient; (2) analysing the relationships between input self-sufficiency, environmental and economic sustainability; and (3) studying how the farms react to a decrease in milk price according to their self-sufficiency degree. Continuer la lecture de « Role of input self-suffi ciency in the economic and environmental sustainability of specialised dairy farms »

Quelle nouvelle synergie dans l’action des économistes et des agronomes pour une agriculture durable ?

Un article paru dans Agronomie, environnement et société en Juin 2014.

Version pdf : AES-Vol4_n1_12_Baret

Les agricultures du monde sont contraintes de dévelop-per des capacités nouvelles pour répondre aux enjeux d’un développement durable conciliant production alimentaire et dimensions environnementales. La re-cherche qui accompagne cette transition est en cours de renouvellement en termes d’objectifs et de critères d’évaluation. La prise de conscience de l’absence de neutralité des choix de recherche, de la nécessité d’une rigueur méthodologique et sémantique et de l’importance d’une démarche pluridisciplinaire à des échelles pertinentes, sont des éléments clés de cette reconfiguration. À la rigueur de toute démarche scientifique, s’ajoute aujourd’hui l’enjeu de la pertinence des questions de recherche.

Sustainability indicators for livestock farming. A review

Un article de Thérésa Lebacq publié dans  Agronomy and Sustainable development

Version pdf : Lebacq2013

Intensive livestock farming has raised issues about environmental impacts and food security during the past 20 years. As a consequence, there is a strong social demand for sustainable livestock systems. Sustainable livestock systems should indeed be environmentally friendly, economically viable for farmers, and socially acceptable, notably for animal welfare. Continuer la lecture de « Sustainability indicators for livestock farming. A review »

Des cartes pour décrire les pratiques des agriculteurs

We analysed the practices and decision-making processes linked to grassland management in a Belgian grassland-based livestock farming system. Our work confirmed that a social cognitive map could be drawn up for multiple loca tions. The results showed how this inductive cognitive mapping approach overcame two limitations frequently highlighted in previous studies: the diverse interpretations of variables and relationships; and the difficulty in revealing the rationale in cognitive maps.

Continuer la lecture de « Des cartes pour décrire les pratiques des agriculteurs »

L’innovation agricole au Rwanda : des acteurs déconnectés

par Sophie T’Kint, Julie Van Damme et Philippe V. Baret

Paru dans l’Annuaire des Grands Lacs (2013)

version pdf : TKint et al. – 2013 – L’innovation agricole au Rwanda_VD

Agricultural innovation benefits from a considerable investment in Rwanda. The national policies make the agricultural development a priority. Many actors are actively involved in intensifying and professionalizing the agriculture.

Continuer la lecture de « L’innovation agricole au Rwanda : des acteurs déconnectés »

A new approach for comparing and categorizing farmers’ systems of practice based on cognitive mapping and graph theory indicators

Frédéric M. Vanwindekens, Philippe V. Baret et  Didier Stilmant

Ecological Modelling 274 (2014) 1-11

Version pdf : Vanwindekens_Baret_Stilmant_2014

Farmers’ practices are characterized not only by complexity at the farm scale, but also by diversity at the regional scale. In order
to assess this diversity, a systemic approach is needed for comparing and classifying systems of practice. We developed a cognitive
mapping approach (CMASOP) for comparing and clustering these systems within the social-ecological environment. Continuer la lecture de « A new approach for comparing and categorizing farmers’ systems of practice based on cognitive mapping and graph theory indicators »

How agricultural research systems shape a technological regime that develops genetic engineering but locks out agroecological innovations

Gaëtan Vanloqueren∗, Philippe V. Baret

Research Policy 38 (2009) 971–983

Vanloqueren, Baret – How Agricultural Research (full text in pdf)

Agricultural science and technology (S&T) is under great scrutiny. Reorientation towards more holistic approaches, including agroecology, has recently been backed by a global international assessment of agriculture S&T for development (IAASTD). Understanding the past and current trends of agricultural S&T is crucial if such recommendations are to be implemented. This paper shows how the concepts of technological paradigms and trajectories can help analyse the agricultural S&T landscape and dynamics.

Continuer la lecture de « How agricultural research systems shape a technological regime that develops genetic engineering but locks out agroecological innovations »

Agricultural innovation from above and from below : un nouvel article sur l’innovation agricole au Rwanda

Dans la revue African Affairs du mois de décembre 2013, un nouvel article avec Julie Van Damme et An Ansoms qui discute la tension entre innovation endogène et exogène dans les systèmes bananiers du Rwanda.

Texte complet : Agricultural innovation – Afr. Affairs – 2013

Ce papier est notamment cité dans un papier très interpellant paru dans Word Development : Green Revolution in Sub-Saharan Africa: Implications of Imposed Innovation for the Wellbeing of Rural Smallholders

Version pdf de ce papier : 1-s2.0-S0305750X15002302-main-1