Adoption of improved amaranth varieties and good agricultural practices in East Africa

Ochieng, Justus; Schreinemachers, Pepijn; Ogada, Maurice Juma; Dinssa, Fekadu F.; Barnos, William; Mndiga, Hassan

doi:10.1016/j.landusepol.2019.02.002

Cited by 49 publications

(34 citation statements)

References 16 publications

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“…The results appear to be in accordance with those of previous studies, concerning the importance given to personal and economic factors when deciding compliance with good agricultural practices ( Annor, 2018 , Aydın and Aktürk, 2018 , Ganpat et al, 2014 , Jelsma et al, 2019 , Kersting and Wollni, 2011 , Kibet et al, 2018 , Marine et al, 2016 , Nirmala, 2015 , Ochieng et al, 2019 , Parikhani et al, 2015 , Pongvinyoo et al, 2014 , Srisopaporn et al, 2015 , Suwanmaneepong et al, 2016 ). In fact, low-risk orientation primarily influences farmers’ compliance with standards ( Razzaghi Borkhani et al, 2011 ).…”

Section: Discussionsupporting

confidence: 92%

“…Demographic variables such as age, education, and the membership in farmer organizations were found to influence farmers’ decisions ( Annor et al, 2016 , Ganpat et al, 2014 , Holzapfel and Wollni, 2014 , Kersting and Wollni, 2011 , Kibet et al, 2018 , Marine et al, 2016 , Pandit et al, 2017 , Parikhani et al, 2015 , Pongvinyoo et al, 2014 , Srisopaporn et al, 2015 , Suwanmaneepong et al, 2016 ). Other factors comprise institutional support ( Ganpat et al, 2014 , Holzapfel and Wollni, 2014 , Islam et al, 2012 , Kersting and Wollni, 2011 , Marine et al, 2016 , Parikhani et al, 2015 , Pongvinyoo, 2015 , Srisopaporn et al, 2015 ), infrastructure ( Kersting and Wollni, 2011 , Pandit et al, 2017 , Parikhani et al, 2015 ), economic impact variables ( Annor, 2018 , Aydın and Aktürk, 2018 , Ganpat et al, 2014 , Islam et al, 2012 , Jelsma et al, 2019 , Kersting and Wollni, 2011 , Kibet et al, 2018 , Marine et al, 2016 , Nirmala, 2015 , Ochieng et al, 2019 , Pongvinyoo et al, 2014 , Srisopaporn et al, 2015 , Suwanmaneepong et al, 2016 ), and knowledge and attitudes levels of producers ( Ding et al, 2019 , Kibet et al, 2018 , Nirmala, 2015 , Pandit et al, 2017 , Pongvinyoo, 2015 , Som et al, 2017 , Suwanmaneepong et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

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Factors influencing smallholder orange farmers for compliance with GobalGAP standards

Kassem

Alotaibi

Aldosari

et al. 2021

Saudi Journal of Biological Sciences

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The inability of farmers to comply with global good agricultural practices (GlobalGAP) standards has led to food safety issues harmful to human health and sustainable agriculture. This study aimed to assess the extent of GlobalGAP compliance among orange farmers and investigate barriers associated with compliance. Data were collected with structured questionnaires from 238 orange farmers. The findings showed that the farmers’ rate of adherence to the GlobalGAP standards was moderate (mean 3.58). Using factor analysis, the following four groups were identified as key barriers to compliance: personal and economic barriers, awareness and information barriers, institutional-support barriers, and infrastructure barriers. Institutional support barriers were deemed most important by farmers in compliance decisions (mean 4.29), followed by personal and economic barriers (mean 3.89). Therefore, a focus on the barriers faced by smallholder farmers would be crucial to improve their adoption of food safety standards. This can enhance the quality of agricultural commodities, customers’ safety, and the livelihood of smallholder farmers.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Factors influencing smallholder orange farmers for compliance with GobalGAP standards

Kassem

Alotaibi

Aldosari

et al. 2021

Saudi Journal of Biological Sciences

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“…In 2017, about 231,000 farmers in Kenya and Tanzania increased their yield by growing improved amaranth varieties. These varieties are developed, distributed, and commercialized through this network in response to increased urban demand for leafy amaranth in East Africa (Ochieng et al, 2019).…”

Section: Local Knowledge and Neglected And Underutilized Cropsmentioning

confidence: 99%

“…Example 9: An example of these agricultural innovation systems are consortia of research institutes and seed companies, which provide farmers with affordable seeds of improved vegetable lines and as a conduit for feedback between seed suppliers and farmers (Schreinemachers et al, 2017b;Ochieng et al, 2019).…”

Section: Local Knowledge and Neglected And Underutilized Cropsmentioning

confidence: 99%

Decision-Making to Diversify Farm Systems for Climate Change Adaptation

Zonneveld¹,

Turmel

Hellin

2020

Front. Sustain. Food Syst.

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On-farm diversification is a promising strategy for farmers to adapt to climate change. However, few recommendations exist on how to diversify farm systems in ways that best fit the agroecological and socioeconomic challenges farmers face. Farmers' ability to adopt diversification strategies is often stymied by their aversion to risk, loss of local knowledge, and limited access to agronomic and market information, this is especially the case for smallholders. We outline seven steps on how practitioners and researchers in agricultural development can work with farmers in decision-making about on-farm diversification of cropping, pasture, and agroforestry systems while taking into account these constraints. These seven steps are relevant for all types of farmers but particularly for smallholders in tropical and subtropical regions. It is these farmers who are usually most vulnerable to climate change and who are, subsequently, often the target of climate-smart agriculture (CSA) interventions. Networks of agricultural innovation provide an enabling environment for on-farm diversification. These networks connect farmers and farmer organizations with local, national, or international private companies, public organizations, non-governmental organizations (NGOs), and research institutes. These actors can work with farmers to develop diversified production systems incorporating both high-value crops and traditional food production systems. These diversified farm systems with both food and cash crops act as a safety net in the event of price fluctuations or other disruptions to crop value chains. In this way, farmers can adapt their farm systems to climate change in ways that provide greater food security and improved income.

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“…These projects made an important contribution to the development and testing of the method [34]. Subsequent studies have published findings on wheat varieties in Bangladesh [35], rice varieties in Bangladesh, Bhutan, India, Nepal, and Sri Lanka [36], amaranth varieties in Tanzania and Kenya [37], and mungbean in South Asia and Myanmar [12].…”

Section: Estimating Varietal Adoptionmentioning

confidence: 99%

Mungbean in Southeast Asia and East Africa: varieties, practices and constraints

Sequeros¹,

Ochieng

Schreinemachers³

et al. 2021

Agric & Food Secur

Self Cite

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Background Improving the productivity of grain legumes is important to address global challenges of food security and soil degradation. This study’s objective was to quantify the adoption of improved mungbean (Vigna radiata L.) varieties and agricultural practices and to identify production constraints for six countries in Southeast Asia and three countries in East Africa. Methods A Delphi method using expert elicitation was applied at subnational levels and then aggregated to national levels. Each panel employed repetitive and independent questioning of experts. The study organized 31 expert panels involving 387 experts across 9 countries. Results The share of improved varieties in the planted area, as estimated by the expert panels, was 92% for the Philippines, 91% for Vietnam, 99% for Thailand, 84% for Cambodia, 60% for Indonesia, 35% for Laos, 91% for Kenya, 30% for Uganda and 25% for Tanzania. The average age of improved varieties was 19 years in Asia and 12 years in East Africa. Of the mungbean area in Southeast Asia, 61% was planted to varieties developed by the World Vegetable Center, but this was only 2% in East Africa. Production constraints generally included insect pests and plant diseases, unstable markets with low price and low market demand, and the lack of quality seed of suitable varieties. Conclusions There are ample opportunities to improve mungbean productivity through wider use of improved varieties and practices, which is important to meet the contemporary challenges of improving human nutrition and agricultural sustainability.

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Adoption of improved amaranth varieties and good agricultural practices in East Africa

Cited by 49 publications

References 16 publications

Factors influencing smallholder orange farmers for compliance with GobalGAP standards

Factors influencing smallholder orange farmers for compliance with GobalGAP standards

Decision-Making to Diversify Farm Systems for Climate Change Adaptation

Mungbean in Southeast Asia and East Africa: varieties, practices and constraints

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