Co-innovation of family farm systems: A systems approach to sustainable agriculture

2014 ◽  
Vol 126 ◽  
pp. 76-86 ◽  
Author(s):  
S. Dogliotti ◽  
M.C. García ◽  
S. Peluffo ◽  
J.P. Dieste ◽  
A.J. Pedemonte ◽  
...  
2021 ◽  
Vol 17 ◽  
Author(s):  
David Stevens ◽  
Marie Casey ◽  
Paul Edwards ◽  
Thomas Maxwell

Farm systems resilience in New Zealand pasture-based farming is influenced by external drivers such as environmental regulation, and internal drivers such as existence, expressed as profitability. We examine ten published case studies of farm systems change to provide insight into management interventions to these drivers and their impacts on pasture resilience. Nutrient supply was key to increasing pasture longevity, water use efficiency and animal feed supply. Manipulating water use efficiency through irrigation and legume (predominantly lucerne) use increased nitrogen use efficiency and added pasture supply for animal consumption. Monitoring the pasture supply and animal response ensured both animal feed requirements and pasture conditions for future growth were met. Theresilience of pastures was improved when monitoring guided adaptive management application to ensure whole-farm resilience.


2010 ◽  
Vol 67 (6) ◽  
pp. 685-691 ◽  
Author(s):  
Luciane Bertoletti Barros ◽  
Rosângela Maria Pinto Moreira ◽  
Josué Maldonado Ferreira

Knowledge of the association between characters is very important in the genetic breeding programs, but there is limited information about correlations between traits in maize landraces in the current literature. The objectives of this study were to estimate phenotypic, additive genetic and environment correlations among traits in maize landraces, which were cultivated in family farm systems, in order to guide the participatory breeding on maize landraces. Between 294 and 400 half-sib progenies from the six populations were evaluated, subdivided in triple 7X7 and 10X10 lattice design, respectively, with single row plots of 4 m long and spaced 1.00 × 0.20 m. Estimates of correlation coefficients are reported for nine traits: grain yield (GY), relation grain weight per ear weight (GE), ears per plant (EP), days to flower (DF), plant height (PH), ear height (EH), percentage of root loding (%L), percentage of stalk loding (%BS) and percentage of damaged ears (%DE). A high number of additive genetic correlation (rA) was obtained between grain yield and the other traits, in maize landraces populations, cycles and locations. For grain yield, the highest averages of the rA estimate were with EP (0.67), GE (0.47) and %DE (-0.63). In contrast to the current published researches, negative correlations between grain yield and days to flower were observed.


Author(s):  
Jessica Rudnick ◽  
Mark Lubell ◽  
Sat Darshan S. Khalsa ◽  
Stephanie Tatge ◽  
Liza Wood ◽  
...  

AbstractImproving nitrogen (N) fertilizer management in agricultural systems is critical to meeting environmental goals while maintaining economically viable and productive food systems. This paper applies a farm systems framework to analyze how adoption of N management practices is related to different farming operation characteristics and the extent to which fertilizer, soil and irrigation practices are related to each other. We develop a multivariate probit regression model to analyze the interdependency of these adoption behaviors from 966 farmers across three watersheds and diverse cropping systems in the Central Valley of California. Our analysis demonstrates that farmers adopt varying combinations or portfolios of practices, with the most common portfolio featuring a core set of fertilizer-focused practices. Irrigation infrastructure is an especially important farm operation characteristic for encouraging adoption of innovative practice portfolios that integrate water and fertilizer management. These findings highlight the ability for a farm systems approach to improve our understanding of farmer decision-making across diverse agricultural landscapes.


1993 ◽  
Vol 8 (2) ◽  
pp. 85-90
Author(s):  
Murray Fulton

AbstractThe problems facing farmers in the Esperance Sandplain region of Western Australia—salinity, herbicide resistance, wind erosion, and plant disease—are highly interrelated. Unless the biological, economic and social aspects of the problems are examined in an integrated way, no sustainable system will be found. Similarly, agricultural teaching and research must become much more integrated if they are to address agricultural and environmental problems satisfactorily. This will require changes in the structure of university and research institutions and in the rewards for research and teaching.


2013 ◽  
Vol 17 (3) ◽  
pp. 275-282
Author(s):  
Sitti Marwah

The farming systems in Konaweha watershed are mostly mixed garden that are partly managed intensively as wellas traditionally. The objectives of this research were to identify and classify agroforestry systems that were practicedby farmers, to study the effect of the agroforestry systems on soil properties, hydrological indicators, and erosion,as well as to analyze farm management feasibility of agroforestry systems to establish sustainable agriculturesystem. The study was carried out in Konaweha watershed, Southeast Sulawesi. The results indicated thatagroforestry systems in this area were devided into four types i.e. sylvopastoral-perennial crops with pasture,agrosylvicultural-perennial crops, agrosylvicultural-multystrata systems, and sylvopastoral-multystrata systems.The four types of agroforestry systems significantly increased the soil aggregate stability, soil porosity at 30 cm indepth, organic matter, soil organic carbon, and microorganisms population. In addition, the agroforestry haddecreased runoff and erosion significantly. Therefore, the erosion rate from the four types of agroforestry systemwas below the value of tolerated soil loss (TSL), except that of agrosylvicultural-perennial crops with an elevationof > 30%. The best quality of soil and environment was found at sylvopastoral-multystrata systems.Keywords: Agroforestry; erosion; soil properties; sustainable agriculture[How to Cite: Marwah S. 2012. Physical Feasibility Study of Agroforestry Farm Systems to Support Sustainable Agriculture in Konaweha Sub Watershed of Southeast Sulawesi. J Trop Soils, 17 (3) : 275-282. doi: 10.5400/jts.2012.17.3.275][Permalink/DOI: www.dx.doi.org/10.5400/jts.2012.17.3.275] 


Daedalus ◽  
2015 ◽  
Vol 144 (4) ◽  
pp. 76-89 ◽  
Author(s):  
G. Philip Robertson

The defining challenge of sustainable agriculture is the production of food and other agricultural products at an environmental cost that does not jeopardize the food security and general welfare of future generations. Feeding another three billion people in the face of climate change, biodiversity loss, and an environment already saturated with excess nitrogen and other reactive pollutants requires new approaches and new tools in the design and deployment of workable solutions. Solutions will be local but all will require an ecological systems approach that considers sustainable farming practices in the full context of ecosystems and landscapes. And their deployment will require an understanding of the social systems capable of building incentives that produce socially desired outcomes. Socioecological models for agriculture provide an opportunity to explore feedbacks, trade-offs, and synergies that can optimize and strengthen emerging connections between farming and society. With the right incentives, innovative research, and political will, a sustainable agriculture is within our reach.


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