Abstract
Producing high economic benefits and high grain yields with limited environmental impacts is crucial for feeding the world's growing population. Yet it remains challenging to improve the performance of one objective without creating unintended consequences for other objectives. This is especially difficult for smallholders navigating a diverse array of environmental and personal demands. This study demonstrates how combining participatory research through the Science and Technology Backyards (STB) approach with Pareto‐based ranking modeling can increase smallholder production while also reducing environmental impact. Through an intensive farmer survey in a 1 × 1 km grid in Quzhou County, we demonstrate that farmers engaged in STBs performed better according to multiple objectives (i.e., optimizing overall grain yield, benefit‐cost ratio, and GHG emissions, without compromising any one of these objectives) than farmer's not engaged in STBs. Moreover, we used a Pareto optimization approach (OPT) to determine the optimal smallholder scenario. We found that under OPT, grain yield could reach 9.5 t/ha, with a benefit‐cost ratio of 2.1, a 100% N recovery efficiency, and 7,395 kg CO2eq ha−1 GHG emissions. With OPT as a final goal, our research team worked with STB farmers to improve economic and environmental outcomes without compromising yield. Our findings demonstrate that no significant difference was obtained between farmers engaged in STBs and these under OPT. Compared with non‐STB farmers, STB farmers’ grain yield improved by 18%, benefit‐cost ratio improved by 26% due to improved N recovery efficiency, and GHG emissions were reduced by 31%. These improvements demonstrate the power of scientist–farmer engagement for optimizing wheat production. Such engagement allows farmers to modify their agronomic practices to more closely match Pareto optimal conditions, thus improving environmental and economic benefits without compromising yield. Our results provide solid evidence of the potential for sustainable wheat production by combining modeling with participatory research.
Highlights
In the past several decades, China has produced enough food to feed 22% of the global population with less than 9% of the global arable land (Fan et al, 2012)
We have shown that optimizing wheat production by smallholder farmers—both economically and environmentally—is possible by combining participatory research with Pareto optimality modeling
Under typical farmer practices (FP), the wheat yield and benefit-cost ratio were 8.0 t/ha and 1.6, respectively, and GHG emissions were as high as 10,737 kg CO2eq ha−1 due to the low N recovery efficiency
Summary
In the past several decades, China has produced enough food to feed 22% of the global population with less than 9% of the global arable land (Fan et al, 2012). Chen et al (2014) found that an integrated crop-soil management strategy can improve grain yield by 30% without increasing N use (Chen et al, 2014) While this has provided valuable research for sustainable crop production, real-time in situ field monitoring is required in both cases, which has hindered widespread application of these techniques by smallholder farmers. The goal of STBs is to link the scientific community with the farming community through participatory research with the ultimate aim of empowering smallholders to achieve higher crop yields with less environmental impacts (Jiao et al, 2019) Through this approach, scientists and farmers conduct field trails and demonstrations to illustrate best agronomic practices and new technologies. This will enable us to, as discussed in the results and conclusion, determine the potential of the STB approach to optimize environmental and economic objectives by combining participatory research with Pareto-based ranking
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