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Víctor Hugo Ramírez Builes ; Alvaro Jaramillo Robledo ; José Raúl Rendón Sáenz ; Jaime Arcila Pulgarín ;Revista Facultad Nacional de AgronomíaMedellín 2011, 64 1

Autor: Andrés Javier Peña Quiñones

Fuente: http://www.redalyc.org/


Introducción



Revista Facultad Nacional de Agronomía Medellín ISSN: 0304-2847 rfnagron_med@unal.edu.co Universidad Nacional de Colombia Colombia Peña Quiñones, Andrés Javier; Ramírez Builes, Víctor Hugo; Jaramillo Robledo, Alvaro; Rendón Sáenz, José Raúl; Arcila Pulgarín, Jaime Effects of Daylength and Soil Humidity on the Flowering of Coffee Coffea arabica L.
in Colombia Revista Facultad Nacional de Agronomía - Medellín, vol.
64, núm.
1, enero-junio, 2011, pp.
5745-5754 Universidad Nacional de Colombia Medellín, Colombia Available in: http:--www.redalyc.org-articulo.oa?id=179922364001 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Effects of Daylength and Soil Humidity on the Flowering of Coffee Coffea arabica L.
in Colombia Efecto de la Duración del Día y la Humedad del Suelo sobre la Floración del Cafeto Coffea arabica L.
en Colombia Andrés Javier Peña Quiñones1; Víctor Hugo Ramírez Builes2; Alvaro Jaramillo Robledo3; José Raúl Rendón Sáenz4 y Jaime Arcila Pulgarín5 Abstract.
Coffee flowering data were analyzed in order to explore the effect of two environmental variables that have been considered relevant for this process.
Pre-anthesis stage flowers were counted in coffee leaf-rust resistant crops at eight experimental stations (between 2°N and 11°N).
Likewise, climatic data were taken to generate a humidity soil index, whereas day longitude data were taken from the Smithsonian Meteorological Tables.
Flowering data were compared with a sunshine index to understand better the effect of light on flowering.
This data (flowering, soil humidity index and day length) were expressed in a monthly scale and analyzed using linear regression and cross-correlation functions.
The main results show that there is a signif...





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