Resulta esencial calibrar las máquinas con el fin de lograr densidades de siembra y tasas de fertilización óptimas. Los errores en la calibración, incluso los más leves, pueden provocar grandes diferencias en el campo. Con la calibración se asegura que no se aplique demasiada semilla o fertilizante (con lo cual se ahorra dinero y se protege el medio ambiente), pero tampoco cantidades insuficientes, lo cual puede producir una disminución en el rendimiento.
This book is the re-titled third edition of the widely used Agricultural Extension (van den Ban & Hawkins, 1988, 1996). Building on the previous editions,Communication for Rural Innovation maintains and adapts the insights and conceptual models of value today, while reflecting many new ideas, angles and modes of thinking concerning how agricultural extension is taught and carried through today.
Este volante muestra cinco etapas para la modernizacion sustentable de la agricultura.
La presentación es dirigida a productores y grupos de personas, que realizan actividades agrícolas, pecuarias, acuícolas y pesqueras en zonas rurales y periurbanas. El documento da recomendaciones para facilitar el acceso de los productores familiares al acompañamiento técnico y trata de modelos de extensión con mayor impacto en el desarrollo de la Agricultura Familiar.
PESA focaliza sus acciones en “Apoyar a las Unidades de Producción Familiar en localidades rurales de alta y muy alta marginación, para incrementar los niveles de producción y productividad de sus actividades agropecuarias, acuícolas y pesqueras…”.
Precision farming enables agricultural management decisions to be tailored spatially and temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a heterogeneous entity. Through targeted use of in- puts, precision farming reduces waste, thereby cutting both private variable costs and the environmental costs such as those of agrichemical residuals. At present, large farms in developed countries are the main adopters of pre- cision farming.
In this review, we examine the debate surrounding the role for organic agriculture in future food production systems. Typically represented as a binary organic–conventional question, this debate perpetuates an either/or mentality. We question this framing and examine the pitfalls of organic–conventional cropping systems comparisons. The review assesses current knowledge about how these cropping systems compare across a range of metrics related to four sustainability goals: productivity, environmental health, economic viability, and quality of life.
Agricultural biotechnology and, specifically, the development of genetically modified (GM) crops have been controversial for several reasons, including concerns that the technology poses potential negative environmental or health effects, that the technology would lead to the (further) corporatization of agriculture, and that it is simply unethical to manipulate life in the laboratory. GM crops have been part of the agricultural landscape for more than 15 years and have now been adopted on more than 170 million hectares (ha) in both developed countries (48%) and developing countries (52%).
International agricultural research is often motivated by the potential benefits it could bring to smallholder farmers in developing countries. A recent experimental literature has emerged on why innovations resulting from such research, which often focuses on yield enhancement, fail to be adopted due to either external or internal constraints. This article reviews this literature, focusing on the traits of the different technologies and their complexity and distinguishing between yield-enhancing, variance-reducing, and water- or labor-reducing technologies.
Food systems contribute 19%–29% of global anthropogenic greenhouse gas (GHG) emissions, releasing 9,800–16,900 megatonnes of carbon dioxide equivalent (MtCO2e) in 2008. Agricultural production, including indirect emissions associated with land-cover change, contributes 80%–86% of total food system emissions, with significant regional variation. The impacts of global climate change on food systems are expected to be widespread, complex, geographically and temporally variable, and profoundly influenced by socioeconomic conditions.