A scoping review of adoption of climate-resilient crops by small-scale producers in low- and middle-income countries.
Maricelis AcevedoKevin V PixleyNkulumo ZinyengereSisi MengHale TufanKaren CichyLivia BizikovaKrista IsaacsKristine M AlpiJaron PorcielloPublished in: Nature plants (2020)
Climate-resilient crops and crop varieties have been recommended as a way for farmers to cope with or adapt to climate change, but despite the apparent benefits, rates of adoption by smallholder farmers are highly variable. Here we present a scoping review, using PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols), examining the conditions that have led to the adoption of climate-resilient crops over the past 30 years in lower- and middle-income countries. The descriptive analysis performed on 202 papers shows that small-scale producers adopted climate-resilient crops and varieties to cope with abiotic stresses such as drought, heat, flooding and salinity. The most prevalent trait in our dataset was drought tolerance, followed by water-use efficiency. Our analysis found that the most important determinants of adoption of climate-resilient crops were the availability and effectiveness of extension services and outreach, followed by education levels of heads of households, farmers' access to inputs-especially seeds and fertilizers-and socio-economic status of farming families. About 53% of studies reported that social differences such as sex, age, marital status and ethnicity affected the adoption of varieties or crops as climate change-adaptation strategies. On the basis of the collected evidence, this study presents a series of pathways and interventions that could contribute to higher adoption rates of climate-resilient crops and reduce dis-adoption.
Keyphrases
- climate change
- electronic health record
- human health
- healthcare
- mental health
- randomized controlled trial
- physical activity
- primary care
- magnetic resonance imaging
- microbial community
- magnetic resonance
- adverse drug
- emergency department
- genome wide
- risk assessment
- quality improvement
- diffusion weighted imaging
- data analysis