Participatory approach for developing knowledge on organic rice farming: Management strategies and productive performance. (February 2020)
- Record Type:
- Journal Article
- Title:
- Participatory approach for developing knowledge on organic rice farming: Management strategies and productive performance. (February 2020)
- Main Title:
- Participatory approach for developing knowledge on organic rice farming: Management strategies and productive performance
- Authors:
- Orlando, Francesca
Alali, Sumer
Vaglia, Valentina
Pagliarino, Elena
Bacenetti, Jacopo
Bocchi, Stefano
Bocchi, Stefano - Abstract:
- Highlights: Participatory research generated new knowledge about complex organic cropping systems. A methodology was proposed to integrate into the research the farmers' knowledge. The adaptive management strategies are based on three main functional principles. The organic rice yields were analysed and the related variability sources recognized. There is an ensemble of possible cropping systems with a wide range of performance. Abstract: Rice is the third grown crop worldwide and responsible of significant environmental impacts. Nevertheless, there is a lack of knowledge concerning the organic rice' performance and management, probably due to the limits encountered by the reductionist approach in studying complex systems such as an organic paddy. The study proposes a knowledge-intensive and qualitative research methodology based on researcher-farmer participatory approach, with the aim to improve the state of knowledge on organic rice, explore the yield potential and variability, and identify the successful agronomic practices. A wide range of cropping systems placed in North Italy were monitored and analysed during three years by a multi-actor network. Knowledge was generated from collected data and information, integrating the scientific and empirical knowledge on the basis of the DIKW hierarchy and through mutual learning and knowledge sharing tools. The organic rice field proved to be a complex and difficult to predict system, which evolves over the time, under theHighlights: Participatory research generated new knowledge about complex organic cropping systems. A methodology was proposed to integrate into the research the farmers' knowledge. The adaptive management strategies are based on three main functional principles. The organic rice yields were analysed and the related variability sources recognized. There is an ensemble of possible cropping systems with a wide range of performance. Abstract: Rice is the third grown crop worldwide and responsible of significant environmental impacts. Nevertheless, there is a lack of knowledge concerning the organic rice' performance and management, probably due to the limits encountered by the reductionist approach in studying complex systems such as an organic paddy. The study proposes a knowledge-intensive and qualitative research methodology based on researcher-farmer participatory approach, with the aim to improve the state of knowledge on organic rice, explore the yield potential and variability, and identify the successful agronomic practices. A wide range of cropping systems placed in North Italy were monitored and analysed during three years by a multi-actor network. Knowledge was generated from collected data and information, integrating the scientific and empirical knowledge on the basis of the DIKW hierarchy and through mutual learning and knowledge sharing tools. The organic rice field proved to be a complex and difficult to predict system, which evolves over the time, under the on-going pressure of the bottom-up innovations, and whose performance depends on many interacting elements. The results highlighted three main knowledge-intensive management strategies, not involving universal recipes but a range of agroecological principles and flexible solutions that the farmers adapt to the time- and space- variability through an active adaptive management. Yield showed a wide variability (0–7 t/ha) and normal distribution (median 4 t/ha). The lower, middle and upper quartiles of yield showed a mean of about 2, 4 and 6 t/ha, respectively, with high variance associated with upper and lower quartiles. The variability sources related to the management and effectiveness in weed control have mainly determined the productivity gap, "Know-how" (suitability of the chosen management plan), "optimization" (timely and accuracy of interventions) and "seed bank" (previous operations and land uses affecting the weeds dynamics) were responsible of the low yield in 77%, 54% and 31% of the cases, respectively, drowning out the impact of climate, soil and variety. Results are useful to drive further scientific inquiries and evaluations consistently with the faced reality by the farmers, and suggest that improvements in the farmer' know-how and skills can lead to further yield increase and variability reduction. The participatory research, adopted to explore complex systems, has worked in this direction, fostering the co-creation of knowledge and innovation and the social cohesion. However, the methodology showed constraints mainly related to the time-consuming surveys and its nature affected by human component. … (more)
- Is Part Of:
- Agricultural systems. Volume 178(2020)
- Journal:
- Agricultural systems
- Issue:
- Volume 178(2020)
- Issue Display:
- Volume 178, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 178
- Issue:
- 2020
- Issue Sort Value:
- 2020-0178-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02
- Subjects:
- Agroecology -- Bottom-up innovation -- Farm-led research -- Adaptive management -- Organic rice -- Yield variability
Agricultural systems -- Periodicals
Agriculture -- Environmental aspects -- Periodicals
338.16 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0308521X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.agsy.2019.102739 ↗
- Languages:
- English
- ISSNs:
- 0308-521X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0757.410000
British Library DSC - BLDSS-3PM
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