For millennia, humans have modified plant genes in order to develop crops best suited for food, fiber, feed, and energy production. Conventional plant breeding remains inherently random and slow, constrained by the availability of desirable traits in closely related plant species. In contrast, agricultural biotechnology employs the modern tools of genetic engineering to reduce uncertainty and breeding time and to transfer traits from more distantly related plants.
Global adoption of transgenic crops reached 67.7 million hectares in 2003 from 2.8 million in 1996. Delivery has occurred almost entirely through the private sector and adoption has been rapid in areas where the crops addressed serious production constraints and where farmers had access to the new technologies. Three countries (USA, Argentina and Canada), three crops (soybean, cotton and maize) and two traits (insect resistance and herbicide tolerance) account for the vast majority of global transgenic area.
Cet article analyse un processus d’innovation dans la filière arachide au Sénégal entre 1999 et 2016. L’accent porte sur la mise en évidence des facteurs décisifs dans l’émergence d’un nouveau réseau de coopératives semencières au Sénégal sous l’impulsion de l’organisation de producteurs Asprodeb. L’analyse est basée sur la théorie du changement qui accorde une place importante aux relations entre les innovations techniques et leur contexte politique et social.
L’article analyse en quoi et comment la recherche peut être un vecteur de renforcement des dynamiques collectives des territoires par la méthode participative ImpresS (Impact des recherches au Sud). Celle-ci qualifie la façon dont la recherche accompagne les processus d’innovation et y contribue, et la façon dont elle renforce les actions collectives par la création de nouveaux espaces de dialogue et d’échanges entre les chercheurs et les parties prenantes d’un projet d’indication géographique (IG).
Agricultural research and innovation has been a major source of agricultural growth in developing countries. Unlike most research on agricultural research and innovation which concentrated on the role of government research institutes and the international agricultural research centers of the Consultative Group for International Agricultural Research, this paper focuses on private sector research and innovation. It measures private research and innovation in India where agribusiness is making major investments in research and producing innovations that are extremely important to farmers.
The adoption of innovations and Precision Agriculture Technologies (PAT) is fundamental for establishing the patterns of agricultural production. However, the dynamics of adoption of PAT by farmers differs by regions. Although there is large number of related researches, there are considerable gaps in the literature: studies on adoption of PAT can be systematically reviewed and integrated in a conceptual model of technology adoption by rural producers, which still lacking in the literature.
Inefficiencies and imprecise input control in agriculture have caused devastating consequences to ecosystems. Urban controlled environment agriculture (CEA) is a proposed approach to mitigate the impacts of cultivation, but precise control of inputs (i.e., nutrient, water, etc.) is limited by the ability to monitor dynamic conditions. Current mechanistic and physiological plant growth models (MPMs) have not yet been unified and have uncovered knowledge gaps of the complex interplay among control variables.
International agricultural research is often motivated by the potential benefits it could bring to smallholder farmers in developing countries. A recent experimental literature has emerged on why innovations resulting from such research, which often focuses on yield enhancement, fail to be adopted due to either external or internal constraints. This article reviews this literature, focusing on the traits of the different technologies and their complexity and distinguishing between yield-enhancing, variance-reducing, and water- or labor-reducing technologies.
Innovations are fast changing the agricultural landscape driven by the increasing need to shift towards sustainable practices without sacrificing the productivity and profitability of farming. Innovations in technology, institutions, processes, and products have contributed to the growth of agriculture, globally and in developing countries including India and Africa, as observed in the cases of green revolution in cereals; and gene revolution in cotton.
Climate-smart agriculture (CSA) is an approach to help agricultural systems worldwide, concurrently addressing three challenge areas: increased adaptation to climate change, mitigation of climate change, and ensuring global food security – through innovative policies, practices, and financing. It involves a set of objectives and multiple transformative transitions for which there are newly identified knowledge gaps. We address these questions raised by CSA within three areas: conceptualization, implementation, and implications for policy and decision-makers.