Skip to main navigation menu Skip to main content Skip to site footer

Infrared thermography for water management on high tunnel cultivation of strawberry (Fragaria x ananassa Duch)

Termografía infrarroja para el manejo hídrico del cultivo de fresa (Fragaria x ananassa Duch) bajo cubierta



How to Cite
Vargas-Cruz, J., Quintero-Arias, G., & Acuña-Caita, J. F. (2020). Infrared thermography for water management on high tunnel cultivation of strawberry (Fragaria x ananassa Duch). Sour Topics, 25(1), 35-47. https://doi.org/10.21897/rta.v25i1.2201

Dimensions
PlumX
Jessica Vargas-Cruz
Giovanna Quintero-Arias
John Fabio Acuña-Caita

Water management of strawberry cultivation is one of the main problems of production in Colombia, reflected in the loss of fruit or deformation of the same. Plants of two strawberry varieties (Fragaria x ananassa Duch), were irrigated in optimum and slight hydric deficit conditions, in a high tunnel system at the Savannah of Bogotá. Environmental variables (temperature, relative humidity, PAR radiation and vapor pressure deficit) and physiological variables (canopy temperature, substrate moisture content, stomatal conductance) were monitored for five months, in order to validate the hydric status of the crop through use of water stress index – CWSI. It was concluded that the use of thermographic images is a valid tool to detect hydric stress in protected small crops, given its high correlation with other methods and is one of the most complete monitoring methods for water management, since it relates the physiological characteristics of the crop with the climatic variables that affect it.


Article visits 606 | PDF visits


Downloads

Download data is not yet available.
  1. Allen, R., Pereira, L., Raes, D., and Smith, M. 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation and Drain, paper 56.
  2. Barquero, J., Meneses, R., Barrantes, L., Ugalde, P., Villalobos, N., and Serrano, D. 2007. Agrocadena de Fresa. Ministerio de agricultura y ganadería. Grecia, Alajuela. p 1-37 pags.
  3. Best, S. and León, L. 2013. Monitoreo de variables hídricas mediante termografía infrarroja. Viticultura de Precisión, Terroir Digital. Boletín Digital INIA Nº 269, 139p. Progap-INIA, Instituto de Investigaciones Agropecuarias, Chillán, Chile. p. 24-50.
  4. Buchanam, B., Gruissem, W., and Jones, R. 2000. Biochemistry and Molecular Biology of Plants. Marylan, USA: ASPP. Rockville.
  5. Çolak, Y. B., and Yazar, A. 2017. Evaluation of crop water stress index on Royal table grape variety under partial root drying and conventional deficit irrigation regimes in the Mediterranean Region. Scientia Horticulturae (224), p.384-394. 10.1016/j.scienta.2017.06.032.
  6. Çolak, Y. B., Yazar, A., Çolak, İ., Akça, H., and Duraktekin, G. 2015. Evaluation of Crop Water Stress Index (CWSI) for Eggplant under Varying Irrigation Regimes Using Surface and Subsurface Drip Systems. Agriculture and Agricultural Science Procedia (4), p.372-382. 10.1016/j.aaspro.2015.03.042.
  7. Elvanidi, A., Katsoulas, N., Ferentinos, K., Bartzanas, T., and Kittas, C. 2018. Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop. Biosystems Engineering (165), p.25-35. 10.1016/j.biosystemseng.2017.11.002.
  8. Erdem, Y., Arin, L., Erdem, T., Polat, S., Deveci, M., Okursoy, H., and Gültaş, H. 2010. Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica). Agricultural Water Management (98), p.148-156. 10.1016/j.agwat.2010.08.013.
  9. Esmeral, Y. R. 2011. Análisis de la evapotranspiración real en el cultivo de la Rosa. Trabajo de grado presentado para optar al título de Magister en Ingeniería Agrícola, Universidad Nacional de Colombia., Bogotá-Colombia.
  10. FAO, O. D. 2002. El Cultivo Protegido en Clima Mediterráneo. (D. d. Vegetal, Ed.) Roma: FAO, Dirección de Producción y Protección Vegetal 90.
  11. Ferrucho González, A. M., & Ruíz González, D. 2013. Evaluación y comparación del comportamiento agronómico de dos cultivares de fresa (Albión y Monterrey) sembrados a libre exposición y bajo macro túneles en la Sabana de Bogotá (Colombia). Trabajo de grado presentado para optar al título de Biólogo, Universidad Militar Nueva Granada, Facultad de ciencias Básicas y aplicadas, Cajicá, Cundinamarca.
  12. Gonzalez-Dugo, V., Zarco-Tejada, P., & Fereres, E. 2014. Applicability and limitations of using the crop water stress index as an indicator of water deficits in citrus orchards. Agricultural and Forest Meteorology, p.94-104. 10.1016/j.agrformet.2014.08.003.
  13. Grant, O. M., Davies, M. J., James, C. M., Johnson, A. W., Leinonen, I., & Simpson, D. W. 2012. Thermal imaging and carbon isotope composition indicate variation amongst strawberry (Fragaria×ananassa) cultivars in stomatal conductance and water use efficiency. Environmental and Experimental Botany, 76, p.7-15. 10.1016/j.envexpbot.2011.09.013.
  14. Grant, O. M., Johnson, A. W., Davies, M. J., James, C. M., & Simpson, D. W. 2010. Physiological and morphological diversity of cultivated strawberry (Fragaria×ananassa) in response to water deficit. Environmental and Experimental Botany, 68, p.264-272. 10.1016/j.envexpbot.2010.01.008
  15. Han, M., Zhang, H., DeJonge, K. C., Comas, L. H., & Gleason, S. 2018. Comparison of three crop water stress index models with sap flow measurements in maize. Agricultural Water Management, 203, p.366-375. 10.1016/j.agwat.2018.02.030.
  16. Hancock, J. F. 1999. Strawberries. Crop Production Science in Horticulture Series. CABI Publishing, Wallingford, p.90- 109.
  17. Hernández Cortés, J. A. (2013). Regulación Del Cierre Estomático: Una Función Representada por Varios Actores.: Grupo de Biotecnología de Frutales, CEBAS. Consejo superior de investigaciones científicas. Campus Universitario de Espinardo. Espinardo. Murcia. España
  18. Hoffman, G. 1979. Controlled Environment Guidelines for Plant Research. (A. Press, Ed.) Humidity, p.141-172.
  19. Idso, S., Jackson, R., Pinter, P., & Hatfield, J. 1981. Normalizing the stress – degree – day parameter for environmental variability. Agric. Meteorol., p.45-55.
  20. Ihuoma, S. O., & Madramootoo, C. A. 2017. Recent advances in crop water stress detectio. Computers and Electronics in Agriculture, 141, p.267-275. 10.1016/j.compag.2017.07.026.
  21. Jackson, R., Idso, S., Reginato, R., & Pinter, P. 1981. Canopy temperature as a crop water stress indicator. Water Resour., p.1133-1138.
  22. King, B., & Shellie, K. (2018). Wine grape cultivar influence on the performance of models that predict the lower threshold canopy temperature of a water stress index. Computers and Electronics in Agricultural, 145, p.122-129. 10.1016/j.compag.2017.12.025.
  23. Klamkowski, K., & Treder, W. (2006). Morphological and physiological responses of strawberry plants to water stress. Agriculturae Conspectus Scientificus, 71, p.159-165.
  24. Kullberg, E. G., DeJonge, K. C., & Chávez, J. L. (2017). Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients. Agricultural Water Management (179), p.64-73. 10.1016/j.agwat.2016.07.007.
  25. Montero, J., & Anton, A. 2002. Comparative Perfomance of a High- and Low-Pressure Fog Systems Driven by Vapor Pressure Deficit Control. Acta Horticulturae (Submited), 79.
  26. Morgan, L. (2006). Hydroponic strawberry production. A technical guide to hydroponic production of strawberries. Tokomaru, NZ.: Suntec (NZ) Ltd .
  27. Peñuelas, J., Savé, R., Marfà, O., & Serrano, L. 1992. Remotely measured canopy temperature of greenhouse strawberries as indicator of water status and yield under mild and very mild water stress conditions. Agricultural and Forest Meteorology, 58, p.63-77.
  28. Rallo., L., & Fernández., R. 1999. Diccionario de ciencias hortícolas (pág. 202). Sociedad española de ciencias hortícolas. Ediciones Mundi-prensa. Madrid. España.
  29. Sánchez-Díaz, M., & Aguirreolea, J. 2001. Movimientos estomáticos y transpiración. En J. Azcón, & M. Talón, Fundamentos de Fisiología Vegetal Capítulo 3. p. 31-43. Universidad de Navarra. Navarra. España
  30. Sayago, S., Ovando, G., & Bocco, M. 2017. Landsat images and crop model for evaluating water stress of rainfed soybean. Remote Sensing of Environment, 198, p.30-39. 10.1016/j.rse.2017.05.008.
  31. Sezen, S. M., Yazar, A., Daşgan, Y., Yucel, S., Akyıldız, A., Tekin, S., & Akhoundnejad, Y. 2014. Evaluation of crop water stress index (CWSI) for red pepper with drip and furrow irrigation under varying irrigation regimes. Agricultural Water Management, 143, p.59-70. 10.1016/j.agwat.2014.06.008.
  32. Shao, H., Chu, Jaleel, C., & Zhao., C. 2008. Water-deficit stress-induced anatomical changes in higher plants. C.R. Biol. 331, p. 215-225. 10.1016/j.crvi.2008.01.002
  33. Taiz, L. and Zeiger, E. (2006). Plant physiology. 4th Edition, Sinauer Associates, Inc., Sunderland.
  34. Vargas-Cruz, J. 2015. Implementación de imágenes termográficas para la detección de estrés hídrico en hierbabuena (Mentha spicata) bajo invernadero en la Sabana de Bogotá. Trabajo de grado presentado para optar al título de Magister en Ingeniería Agrícola Universidad Nacional de Colombia. Bogotá, Colombia.
  35. Verdial, M., Neto, J., Minami, K., Filho, J., Christoffoleti, P., Scarpare, F., & Kluge, R. 2009. Fisiologia de mudas de morangueiro produzidas em sistema convencional e em vasos suspensos. Revista Brasileira de Fruticultura,31(2), p.524-531.
  36. WWF. 2009. Manual de buenas prácticas de riego. Propuestas de WWF para un uso eficiente del agua en la agricultura. Viñedo, Olivar, Cítricos y Fresa. Madrid. España.
  37. Zhuang, S., Wang, P., Jiang, B., Li, M., & Gong, Z. 2017. Early detection of water stress in maize based on digital images. Computers and Electronics in Agriculture, 140, p.461-468.

Sistema OJS 3.4.0.3 - Metabiblioteca |