Pub Date : 2024-04-23DOI: 10.1007/s13593-024-00953-9
Fernanda Gomes Moojen, Julie Ryschawy, J. D. Wulfhorst, David W. Archer, Paulo César de Faccio Carvalho, John R. Hendrickson
Integrated crop-livestock systems (ICLS) are more complex to properly manage than specialized farming systems due to multiple interactions between crops, livestock, and grassland. Despite individual and structural barriers to adopting sustainable ICLS, some innovative producers have successfully conducted integrated production practices. In this context, a research gap exists in understanding the motivations and incentives for transitioning to such systems. This study aims to address ICLS adoption barriers by analyzing the trajectory, achievements, and thought processes of 15 producers practicing ICLS. Our objectives were to (1) highlight producers’ perceptions of ICLS levers and barriers and (2) identify turning point factors that enabled producers to overcome the barriers. We used a unique set of cases in three continental regions (southern Brazil, the northern Great Plains region in the United States, and southern France) and conducted semi-structured interviews. Interviewees emphasized that ICLS imply dealing with barriers ranging from mindset change to operational adaptations, but they also emphasized the rewarding nature of ICLS when properly managed. All their trajectories had important turning points, such as programs or initiatives, human influence, and broader social and economic reasons that resulted in shifts in their production practices and thought processes. The cases also highlighted that integrating crops and livestock positively impacted family producers’ business outcomes, soil health, and livelihood options. Still, individual barriers, including operational management, and structural barriers, including stakeholder awareness and commitment, must be overcome. Encouraging initiatives that offer a systemic approach and promote knowledge exchange can address part of ICLS adoption barriers. Initiatives must embrace a broader innovation ecosystem, having extension teams in close contact with researchers and stakeholders to assist producers in providing support for a more sophisticated level of management that ICLS require. Overall, we found commonalities in consciousness and proactiveness in remarkable cases that could inspire broader sustainability transitions.
{"title":"Case study analysis of innovative producers toward sustainable integrated crop-livestock systems: trajectory, achievements, and thought process","authors":"Fernanda Gomes Moojen, Julie Ryschawy, J. D. Wulfhorst, David W. Archer, Paulo César de Faccio Carvalho, John R. Hendrickson","doi":"10.1007/s13593-024-00953-9","DOIUrl":"https://doi.org/10.1007/s13593-024-00953-9","url":null,"abstract":"<p>Integrated crop-livestock systems (ICLS) are more complex to properly manage than specialized farming systems due to multiple interactions between crops, livestock, and grassland. Despite individual and structural barriers to adopting sustainable ICLS, some innovative producers have successfully conducted integrated production practices. In this context, a research gap exists in understanding the motivations and incentives for transitioning to such systems. This study aims to address ICLS adoption barriers by analyzing the trajectory, achievements, and thought processes of 15 producers practicing ICLS. Our objectives were to (1) highlight producers’ perceptions of ICLS levers and barriers and (2) identify turning point factors that enabled producers to overcome the barriers. We used a unique set of cases in three continental regions (southern Brazil, the northern Great Plains region in the United States, and southern France) and conducted semi-structured interviews. Interviewees emphasized that ICLS imply dealing with barriers ranging from mindset change to operational adaptations, but they also emphasized the rewarding nature of ICLS when properly managed. All their trajectories had important turning points, such as programs or initiatives, human influence, and broader social and economic reasons that resulted in shifts in their production practices and thought processes. The cases also highlighted that integrating crops and livestock positively impacted family producers’ business outcomes, soil health, and livelihood options. Still, individual barriers, including operational management, and structural barriers, including stakeholder awareness and commitment, must be overcome. Encouraging initiatives that offer a systemic approach and promote knowledge exchange can address part of ICLS adoption barriers. Initiatives must embrace a broader innovation ecosystem, having extension teams in close contact with researchers and stakeholders to assist producers in providing support for a more sophisticated level of management that ICLS require. Overall, we found commonalities in consciousness and proactiveness in remarkable cases that could inspire broader sustainability transitions.</p>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-23DOI: 10.1007/s13593-024-00960-w
Sheng-Han-Erin Chang, Emmanuel O. Benjamin, Johannes Sauer
Rice cultivation plays a vital role in the Southeast Asian (SEA) economy, but it poses environmental challenges and contributes a significant amount of greenhouse gas emissions. To address these concerns, sustainable agricultural practices (SAPs) for rice production have been introduced to mitigate the environmental impact of rice production while fostering economic and social sustainability. However, the adoption of these practices remains limited, highlighting the need for a critical review of existing literature to gain deeper insights into the factors influencing farmers’ adoption of these practices in SEA countries. This review analyzed 39 manuscripts to assess the current state of SAPs for rice cultivation in SEA. We found that socio-demographic variables and farm management variables were frequently examined in these studies, with varying levels of significance. Economic and institutional variables were moderately studied and tended to have more significant findings. There is a noticeable research gap regarding behavioral factors, emphasizing the need for further investigation in SEA. Furthermore, the findings underscore the importance of conducting additional research to develop effective monetary and non-monetary incentives and explore methodologies to address the gaps in understanding farmers’ trade-offs and preferences among different SAPs. These efforts are crucial for promoting the widespread adoption of SAPs in rice cultivation.
水稻种植在东南亚(SEA)经济中发挥着至关重要的作用,但它也带来了环境挑战,并造成大量温室气体排放。为了解决这些问题,人们引入了水稻生产的可持续农业实践 (SAP),以减轻水稻生产对环境的影响,同时促进经济和社会的可持续发展。然而,这些做法的采用仍然有限,这就凸显了对现有文献进行批判性综述的必要性,以便更深入地了解影响东南亚国家农民采用这些做法的因素。本综述分析了 39 篇手稿,以评估东南亚国家联盟水稻种植 SAP 的现状。我们发现,在这些研究中,社会人口变量和农场管理变量经常被考察,其显著性程度各不相同。对经济和制度变量的研究较少,且研究结果往往更为显著。在行为因素方面存在明显的研究空白,强调了在东南亚地区开展进一步调查的必要性。此外,研究结果还强调了开展更多研究的重要性,以制定有效的货币和非货币激励措施,并探索各种方法来弥补在了解农民对不同结构调整方案的权衡和偏好方面存在的差距。这些工作对于促进水稻种植广泛采用 SAP 至关重要。
{"title":"Factors influencing the adoption of sustainable agricultural practices for rice cultivation in Southeast Asia: a review","authors":"Sheng-Han-Erin Chang, Emmanuel O. Benjamin, Johannes Sauer","doi":"10.1007/s13593-024-00960-w","DOIUrl":"https://doi.org/10.1007/s13593-024-00960-w","url":null,"abstract":"<p>Rice cultivation plays a vital role in the Southeast Asian (SEA) economy, but it poses environmental challenges and contributes a significant amount of greenhouse gas emissions. To address these concerns, sustainable agricultural practices (SAPs) for rice production have been introduced to mitigate the environmental impact of rice production while fostering economic and social sustainability. However, the adoption of these practices remains limited, highlighting the need for a critical review of existing literature to gain deeper insights into the factors influencing farmers’ adoption of these practices in SEA countries. This review analyzed 39 manuscripts to assess the current state of SAPs for rice cultivation in SEA. We found that socio-demographic variables and farm management variables were frequently examined in these studies, with varying levels of significance. Economic and institutional variables were moderately studied and tended to have more significant findings. There is a noticeable research gap regarding behavioral factors, emphasizing the need for further investigation in SEA. Furthermore, the findings underscore the importance of conducting additional research to develop effective monetary and non-monetary incentives and explore methodologies to address the gaps in understanding farmers’ trade-offs and preferences among different SAPs. These efforts are crucial for promoting the widespread adoption of SAPs in rice cultivation.</p>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1007/s13593-023-00909-5
Madina Diancoumba, Jana Kholová, Myriam Adam, Mahamoudou Famanta, Benoît Clerget, Pierre C. S. Traore, Eva Weltzien, Michel Vacksmann, Greg McLean, Graeme L. Hammer, Erik J. van Oosterom, Vincent Vadez
Sorghum production system in the semi-arid region of Africa is characterized by low yields which are generally attributed to high rainfall variability, poor soil fertility, and biotic factors. Production constraints must be well understood and quantified to design effective sorghum-system improvements. This study uses the state-of-the-art in silico methods and focuses on characterizing the sorghum production regions in Mali for drought occurrence and its effects on sorghum productivity. For this purpose, we adapted the APSIM-sorghum module to reproduce two cultivated photoperiod-sensitive sorghum types across a latitude of major sorghum production regions in Western Africa. We used the simulation outputs to characterize drought stress scenarios. We identified three main drought scenarios: (i) no-stress; (ii) early pre-flowering drought stress; and (iii) drought stress onset around flowering. The frequency of drought stress scenarios experienced by the two sorghum types across rainfall zones and soil types differed. As expected, the early pre-flowering and flowering drought stress occurred more frequently in isohyets < 600 mm, for the photoperiod-sensitive, late-flowering sorghum type. In isohyets above 600 mm, the frequency of drought stress was very low for both cultivars. We quantified the consequences of these drought scenarios on grain and biomass productivity. The yields of the highly-photoperiod-sensitive sorghum type were quite stable across the higher rainfall zones > 600 mm, but was affected by the drought stress in the lower rainfall zones < 600 mm. Comparatively, the less photoperiod-sensitive cultivar had notable yield gain in the driest regions < 600 mm. The results suggest that, at least for the tested crop types, drought stress might not be the major constraint to sorghum production in isohyets > 600 mm. The findings from this study provide the entry point for further quantitative testing of the Genotype × Environment × Management options required to optimize sorghum production in Mali.
{"title":"APSIM-based modeling approach to understand sorghum production environments in Mali","authors":"Madina Diancoumba, Jana Kholová, Myriam Adam, Mahamoudou Famanta, Benoît Clerget, Pierre C. S. Traore, Eva Weltzien, Michel Vacksmann, Greg McLean, Graeme L. Hammer, Erik J. van Oosterom, Vincent Vadez","doi":"10.1007/s13593-023-00909-5","DOIUrl":"https://doi.org/10.1007/s13593-023-00909-5","url":null,"abstract":"<p>Sorghum production system in the semi-arid region of Africa is characterized by low yields which are generally attributed to high rainfall variability, poor soil fertility, and biotic factors. Production constraints must be well understood and quantified to design effective sorghum-system improvements. This study uses the state-of-the-art in silico methods and focuses on characterizing the sorghum production regions in Mali for drought occurrence and its effects on sorghum productivity. For this purpose, we adapted the APSIM-sorghum module to reproduce two cultivated photoperiod-sensitive sorghum types across a latitude of major sorghum production regions in Western Africa. We used the simulation outputs to characterize drought stress scenarios. We identified three main drought scenarios: (i) no-stress; (ii) early pre-flowering drought stress; and (iii) drought stress onset around flowering. The frequency of drought stress scenarios experienced by the two sorghum types across rainfall zones and soil types differed. As expected, the early pre-flowering and flowering drought stress occurred more frequently in isohyets < 600 mm, for the photoperiod-sensitive, late-flowering sorghum type. In isohyets above 600 mm, the frequency of drought stress was very low for both cultivars. We quantified the consequences of these drought scenarios on grain and biomass productivity. The yields of the highly-photoperiod-sensitive sorghum type were quite stable across the higher rainfall zones > 600 mm, but was affected by the drought stress in the lower rainfall zones < 600 mm. Comparatively, the less photoperiod-sensitive cultivar had notable yield gain in the driest regions < 600 mm. The results suggest that, at least for the tested crop types, drought stress might not be the major constraint to sorghum production in isohyets > 600 mm. The findings from this study provide the entry point for further quantitative testing of the Genotype × Environment × Management options required to optimize sorghum production in Mali.</p>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140637523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1007/s13593-024-00959-3
Brian Anthony Keating
Simulation models have co-evolved with agricultural research methods over the last 60 years and they are now a widely accepted and deployed component of agricultural research and development. Modelling supports research in a very diverse range of disciplines and situations, but nowhere more so than in farming systems research. The complex interactions in space and time in the face of climate variability and change that characterise contemporary farming systems research create a situation in which farming systems models are vital tools in interpreting and generalising research results. This review examines the evolution of one of the most widely used farming systems modelling platforms, the Agricultural Production Systems Simulator (APSIM). The review sets the scene for APSIM development with an account of research approaches in agronomy during the 1960s and 1970s. The early innovations in crop and soil modelling in the 1980s are covered briefly and a more explicit history of APSIM development is reported from the 1990s. Reports of APSIM use and impact are reviewed over the 2000s and 2010s. The review concludes with reflections on the forces that have shaped and enabled this more than 30-year history of APSIM development and use, together with a look forward to future challenges. Recent developments in proximal and remote sensing together with advances in the power of empirical models arising from machine learning are not seen as threats but more so opportunities for sound bio-physical models to be deployed with greater effect.
{"title":"APSIM’s origins and the forces shaping its first 30 years of evolution: A review and reflections","authors":"Brian Anthony Keating","doi":"10.1007/s13593-024-00959-3","DOIUrl":"https://doi.org/10.1007/s13593-024-00959-3","url":null,"abstract":"<p>Simulation models have co-evolved with agricultural research methods over the last 60 years and they are now a widely accepted and deployed component of agricultural research and development. Modelling supports research in a very diverse range of disciplines and situations, but nowhere more so than in farming systems research. The complex interactions in space and time in the face of climate variability and change that characterise contemporary farming systems research create a situation in which farming systems models are vital tools in interpreting and generalising research results. This review examines the evolution of one of the most widely used farming systems modelling platforms, the Agricultural Production Systems Simulator (APSIM). The review sets the scene for APSIM development with an account of research approaches in agronomy during the 1960s and 1970s. The early innovations in crop and soil modelling in the 1980s are covered briefly and a more explicit history of APSIM development is reported from the 1990s. Reports of APSIM use and impact are reviewed over the 2000s and 2010s. The review concludes with reflections on the forces that have shaped and enabled this more than 30-year history of APSIM development and use, together with a look forward to future challenges. Recent developments in proximal and remote sensing together with advances in the power of empirical models arising from machine learning are not seen as threats but more so opportunities for sound bio-physical models to be deployed with greater effect.</p>","PeriodicalId":7721,"journal":{"name":"Agronomy for Sustainable Development","volume":null,"pages":null},"PeriodicalIF":7.3,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1007/s13593-024-00963-7
Saiya Li, Feng Wu, Qing Zhou, Yali Zhang
The impact of climate change on rice yield varies among different rice varieties. Designing effective agronomic adaptation strategies is crucial for global rice provision. However, considerable uncertainty remains as to which approaches/strategies should be used in different regions. To this end, we conducted a meta-analysis aimed at quantifying firstly the marginal effects of climate change (i.e., temperature, precipitation, and CO2) and four adaptation strategies (i.e., changing varieties, adjusting fertilization, adjusting irrigation, and altering planting dates) on rice yield in Indica, Japonica, and Hybrid rice. We further assessed climate risks to rice yield and identified optimum adaptation strategies under three shared socio-economic pathway (SSP) scenarios. The results of the meta-analysis showed that temperature has the greatest negative marginal effect of −3.11% on rice yield, with changing varieties being the most effective strategy (15.93%) to counter this effect, followed by increased irrigation (0.24%). Projected climate scenarios predict a 2.11% global average rice yield decrease in the 2040s under SSP5-8.5. Japonica rice yields are significantly more pessimistic than Indica and Hybrid rice. To offset this, 86.48% of the rice planting area would need to change varieties; increase fertilization and irrigation by 51.22% and 8.54%, respectively; or plant in advance by 13 days. Major rice-producing countries such as India, China, and Brazil will need adaptation strategies with higher urgency and scale than the global average. These findings form a basis for a better understanding of climate resilience in different rice varieties and agronomic strategies. Our analysis suggests that it is possible for future rice yield to meet the needs of rice-growing countries while supporting eco-friendly rice production if the appropriate measures are taken. Overall, this study attempts firstly to design effective agronomic adaptation strategies to enhance rice production resilience against climate change and advance understanding of rice varietal adaptation for improved management.