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Cocoa cultivation faces a number of significant challenges, including stagnating yields, a narrow genetic base, vulnerability to pests and diseases and environmental impact. This volume reviews how research is addressing these challenges in areas such as breeding and agronomy, understanding and managing the range of diseases affecting cocoa, as well as ways of measuring and improving the sustainability of cocoa cultivation.
Almost five million tonnes of cocoa produced annually drives the US$100 billion global chocolate industry. To sustain the industry, cacao planting materials (seeds and clones) have been successfully moved from the Amazon forests in America to the humid tropical forests of Africa, Asia, and Australia. In more than 150 years of commercial cacao cultivation, smallholder farmers that supply the bulk of cocoa beans still face several production constraints that impede their efficiency. Scientific technologies have therefore been deployed to remove these constraints by ensuring a continuous supply of good quality cocoa beans to meet growing global demand. This book provides insight into these scientific advances to address these current and emerging problems and to assure the sustainability of the global cocoa industry.
The livelihood of Third World farmers conflicts with saving the remaining tropical forests. The advantages of growing cocoa in cleared primary forest drive from the fertility of virgin soils and low concentrations of weeds, pests and diseases. The consequent emergence of new 'pioneer fronts' has also been affected by cheap labour, relative commodity prices, pests and diseases, credit resources, entrepreneurship, information, physical infrastructures, and government policies. The dynamism of smallholdings and competitive private marketing over estates and marketing boards is demonstrated.
Experts discuss the challenges faced in agrobiodiversity and conservation, integrating disciplines that range from plant and biological sciences to economics and political science. Wide-ranging environmental phenomena—including climate change, extreme weather events, and soil and water availability—combine with such socioeconomic factors as food policies, dietary preferences, and market forces to affect agriculture and food production systems on local, national, and global scales. The increasing simplification of food systems, the continuing decline of plant species, and the ongoing spread of pests and disease threaten biodiversity in agriculture as well as the sustainability of food resources. Complicating the situation further, the multiple systems involved—cultural, economic, environmental, institutional, and technological—are driven by human decision making, which is inevitably informed by diverse knowledge systems. The interactions and linkages that emerge necessitate an integrated assessment if we are to make progress toward sustainable agriculture and food systems. This volume in the Strüngmann Forum Reports series offers insights into the challenges faced in agrobiodiversity and sustainability and proposes an integrative framework to guide future research, scholarship, policy, and practice. The contributors offer perspectives from a range of disciplines, including plant and biological sciences, food systems and nutrition, ecology, economics, plant and animal breeding, anthropology, political science, geography, law, and sociology. Topics covered include evolutionary ecology, food and human health, the governance of agrobiodiversity, and the interactions between agrobiodiversity and climate and demographic change.
Chocolate in Health and Nutrition represents the first comprehensive compilation of the newest data on the actions of the flavonoids and microorganisms associated with the beneficial effects of chocolate. This unique text provides practical, data-driven resources based upon the totality of the evidence to help the reader understand the basics, treatments and preventive strategies that are involved in the understanding of the role chocolate may play in healthy individuals as well as those with cardiovascular disease, diabetes or neurocognitive declines. Of equal importance, critical issues that involve patient concerns, such as dental caries and food preferences in children, potential effects on weight gain, addiction and withdrawal are included in well-referenced, informative chapters. The latest research on the role of chocolate in normal health areas including mood, pain and weight management, cardiovascular disease and related conditions are presented. Chocolate in Health and Nutrition provides health professionals in many areas of research and practice with the most up-to-date, well referenced and comprehensive volume on the current state of the science and medical uses of chocolate.
Smallholder farming systems contribute a substantial quantity of the food consumed in many lower and middle-income countries and contribute to the national and local economies. Despite the importance of smallholder farming, a transformation is needed in order to deliver food security and decent incomes for the farmers themselves and at the national level. This transformation must also be sustainable in terms of environmental impacts and social equity in order to be successful in the long term. The pressures of population growth, climate change, and land fragmentation compound the problem. Addressing these overlapping issues is a big challenge. One obstacle is the lack of good quality granular data linking these issues together. Household surveys are the workhorse method for gathering such data, but there are well-known problems that prevent household survey data from building up a “big picture” and delivering insights beyond the geographical boundary of each individual study. Such obstacles include the lack of access to datasets, differences in survey design, and respondent biases. Agile, data-oriented research tools can help to overcome these challenges. We use the term “agile” to imply methods that do not attempt exhaustive measurements, which are designed to be easy to use, and which entail some degree of flexibility in terms of adaptation to local conditions and integration with other tools or methods. Often these methods also nudge the behavior of tool users towards best practices. In recent years various research tools and approaches have been published which fit within our definition of “agile data-oriented research tools”. The domains these tools function in include monitoring and evaluation, intervention targeting, tailored information delivery, citizen science, credit scoring, and user feedback collection; all with the over-arching aim to improve data quality and access for those studying the sustainable development of smallholder farming systems. The goal of this Research Topic is to better define that niche, the ecosystem of tools and current practices, and to explore how such approaches can provide the underpinning knowledge required for the transformation of smallholder farming systems. One example of an agile data-oriented research tool is the Rural Household Multi-Indicator Survey (RHoMIS). It is a modular, digital system for building household surveys addressing the common topics in smallholder development. It was purposefully designed to give a broad overview of the farm system whist keeping survey duration to a minimum, to be user-friendly in implementation, and to be sufficiently flexible to function in a broad variety of locations and projects. Since 2015 it has been used by 30 organizations in 32 countries to interview over 34,000 households. The tool and database are open access and a community of practice is developing around the tool. We particularly welcome contributions that engage with the RHoMIS tool and data. However, we also describe the tool in order to provide an example of what is meant by an agile data-oriented research tool, and welcome contributions focusing on other tools or methodologies. We encourage the submission of manuscripts addressing the above topic, and those which fit within one of the following three sub-themes: (i) Perspectives or review articles which explore the niche, best practices, or promising approaches in agile data-oriented research tools for smallholder farm system transformation. Also, technology and code articles that describe new tools are welcomed. (ii) Original research articles presenting analyses based on data derived from agile data-oriented tools used at the project level. Examples include impact evaluations, adoption studies, targeting studies, or adaptive management, and should reflect on the additional benefit leveraged by the agile method applied. (iii) Original research articles that make use of the large amounts of data generated by such agile methods and/or link between agile data and other data sources. Examples include meta-analyses of data from multiple studies, layering data collected from different agile tools, or linking agile data to remote sensing or large-scale modeling outputs.