Recomendaciones para la reducción del riesgo en la caficultura de Colombia ante un evento climático de El Niño.

Ramírez-Builes, Victor Hugo; Gaitán, Álvaro; Machado, Pablo Benavides; Constantino, Luís Miguel; Sadeghian, Siavosh; González-Osorio, Hernán

doi:10.38141/10779/0445

Cited by 8 publications

(6 citation statements)

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“…coffeella is distributed in coffee plantations located below 1300 m above sea level in low areas in conditions of relative humidity between 75 and 85% and temperatures between 22 and 25 • C. It affects coffee plantations of all ages both in full sun exposure and in those with regulated shading [54]. L. coffeella is a seasonal species with a higher prevalence in summer periods and during El Niño weather events, where strong attacks have been seen [58]. The most important factor in the population dynamics of leaf miner is the temperature-for each degree that it increases, it is possible to produce one more insect generation per year.…”

Section: Insect Damagementioning

confidence: 99%

Sustainable Strategies for the Control of Pests in Coffee Crops

Góngora,

Gil,

Constantino

et al. 2023

Agronomy

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Coffee is a worldwide commodity, and both coffee-producing and coffee-consuming countries have real concerns about environmental problems and economic growth strategies based on the efficient use of resources. Because this crop is a perennial, pests can significantly affect coffee production, causing considerable yield losses and threatening coffee supply and security. The presence of insects and control strategies for coffee pests is becoming a challenge. Environmental sustainability, conservation of biodiversity, and safety of the coffee seed must go hand in hand with the economic sustainability of coffee growers. This is especially important, as there has been an increase in demand for coffee and new consumer interest in differentiated quality coffee. Regular pest control methods based only on the use of synthetic pesticides are no longer effective or sustainable due to the development of insecticide resistance and negative effects on the environment, human health, and biodiversity. Thus, to ensure better control and ecological sustainability, it is crucial to reduce pesticide use by adopting original alternative strategies to maintain pest populations below the economic threshold level and towards reaching the European Green Deal. In this review, we collect information available for sustainable control of the principal coffee pests in Colombia: coffee berry borer (CBB), Hypothenemus hampei; Monalonion velezangeli; coffee root mealybugs; coffee leaf miner: Leucoptera coffeella; and the coffee red spider mite: Oligonychus yothersi. The control strategies include deep knowledge of the biology of insects and the coffee plant, their relationship with weather and habitats, as well as natural controllers. These control strategies do not involve the use of insecticides, are ecologically friendly and novel, and can be applied in other coffee-producing countries.

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Section: Insect Damagementioning

confidence: 99%

Sustainable Strategies for the Control of Pests in Coffee Crops

Góngora,

Gil,

Constantino

et al. 2023

Agronomy

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“…Por otro lado, cuando se presentan eventos como El Niño, es decir el calentamiento sostenido del océano pacífico ecuatorial entre 0,5 °C y 2,3 °C, algunas zonas del país sufren disminución de las lluvias y el incremento en las temperaturas (Ramírez et al, 2014). Para la zona cafetera se presenta un incremento de la temperatura media del aire de entre 1 °C y 2 °C y la precipitación disminuye en un 15 % en toda la zona andina (Ruiz & Melo, 2023).…”

Section: Introductionunclassified

El clima y su relación con la dinámica poblacional y dispersión de la broca del café Hypothenemus hampei en un gradiente altitudinal en la cuenca del río Risaralda, Caldas, Colombia

Constantino Chuaire,

Peña Quiñones,

Ramírez Carabalí

et al. 2024

Rev. Colomb. Entomol.

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Se estudió la dinámica poblacional de la Broca del Café (BC) Hypothenemus hampei bajo diferentes condiciones climáticas y altitudinales, en cinco parcelas de Coffea arabica, con una densidad de 5.000 árboles en un gradiente altitudinal, donde se instalaron estaciones meteorológicas. En cada parcela se seleccionaron 30 árboles aleatoriamente y se evaluaron los niveles de infestación, dispersión y densidad poblacional, cada mes durante 3 años. Los resultados mostraron un incremento del 23,9 %, 20,2 % y 5,9 % de infestación de BC a 1.132 m durante tres periodos: El Niño, Neutro y La Niña, respectivamente, en contraste con 5,3 %, 2,1% y 2, 5% de infestación a 1.822 m. El número promedio de individuos de broca por árbol durante un periodo El Niño fue de 1.850, en comparación a 1.376 y 629 individuos durante un periodo Neutro y La Niña. La temperatura mostró un incremento de 2,5 °C por encima del promedio histórico por efectos del fenómeno El Niño. La dispersión de broca mostró una relación positiva y negativa de tipo exponencial con la temperatura y la altitud, que significó totales acumulados de 2´815.332 individuos capturados en trampas durante el periodo El Niño, en comparación con 1´650.897 en el periodo neutro y 173.814 en La Niña. Se presentó una epizootia natural del hongo Beauveria bassiana que ocasionó mortalidades entre 85 % y 95 % en las poblaciones de broca. Los transectos altitudinales en una misma cuenca hidrográfica sirven para entender las interacciones entre las plagas, el clima y sus enemigos naturales, que permiten generar alertas tempranas para desarrollar estrategias de control.

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“…Coffee Crop phenology: Crop phenology defines the physiological development stages of crop growth from planting to harvest [24]. Colombian farmers rely on crop phenology, which includes the coffee flowering stage, to make decisions related to agronomic practices such as fertilization, water deficit, pest, and disease management [25].…”

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“…Due to coffee being a perennial crop [24], it is considered a complete crop cycle between the flowering and post-harvest stages. The information in the dataset presented in this paper was collected during the coffee growing cycle, including the flowering, ripening, and harvesting until the post-harvesting stages of the fruit.…”

mentioning

confidence: 99%

“…Crop phenology: This is essential for the proper planning and management of practices such as fertilization, disease, pest, and weed control, among others. Crop phenology is crucial for identifying coffee crop phases susceptible to pests and diseases [24]. • Zoca: This corresponds to renewing the branches and increasing production by removing an old part of the trunk or branches of a coffee plant [36].…”

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A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia

Valencia-Mosquera,

Griol,

Solarte-Montoya

et al. 2023

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This paper describes a novel qualitative dataset regarding coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection through the ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.

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Recomendaciones para la reducción del riesgo en la caficultura de Colombia ante un evento climático de El Niño.

Cited by 8 publications

References 0 publications

Sustainable Strategies for the Control of Pests in Coffee Crops

Sustainable Strategies for the Control of Pests in Coffee Crops

El clima y su relación con la dinámica poblacional y dispersión de la broca del café Hypothenemus hampei en un gradiente altitudinal en la cuenca del río Risaralda, Caldas, Colombia

A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia

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