Modelling Evapotranspiration of Container Crops for Irrigation Scheduling

Irrigation is now recognized as an important component in the agriculture economy of Mediterranean regions. As practiced by many growers, it is often based on traditional application methods that fail to measure the supply of water needed to satisfy the variable requirements of different crops. In order to achieve more profitable and sustainable cropping systems, it is essential to modernize existing irrigation systems and improve irrigation water use efficiency (WUE). Up-to-date methods of irrigation should likewise be based on sound principles and techniques for attaining greater control over the soil-cropwater regime and for optimizing irrigation in relation to all other essential agricultural inputs and operations. Accurate predictions of crop water requirements are necessary for an efficient use of irrigation water in container crops cultivated both outdoors and in greenhouse. Irrigation scheduling (IS) has conventionally aimed to achieve an optimum water supply for productivity, with soil or container water content being maintained close to field capacity. Different approaches to IS have been developed, each having both advantages and disadvantages but despite the number of available systems and apparatus, not entirely satisfactory solutions have been found to rationalize IS, assuring optimal plant growth with minimal water use (Jones, 2004). Many growers, especially in the Mediterranean regions, use simple timers for automated irrigation control of containerized crops and scheduling is based on their own experience. Evapotranspiration (ET) is the primary process affecting crop water requirements and, therefore, its knowledge is essential for efficient irrigation management. ET is the combined process of evaporation from soil or substrate and leaf transpiration. Evapotranspiration requires two essential components: a source of energy and a vapour transport mechanism. Energy is needed for phase change from liquid to vapour in sub-stomatal cavities whereas the leaf-to-air vapour pressure gradient ensures that water vapour crosses leaf stomata. In container-grown plants, ET is affected by many factors, both environmental (e.g. air temperature, radiation, humidity, wind speed) and plant related characteristics (e.g. growth

[1]  G. Incrocci,et al.  What limits and how to improve water use efficiency in outdoor container cultivation of ornamental nursery stocks. , 2009 .

[2]  Olivier Jolliet,et al.  Transpiration of Ficus benjamina: comparison of measurements with predictions of the Penman-Monteith model and a simplified version , 1993 .

[3]  A. Baille Water management in soilless cultivation in relation to inside and outside climatic conditions and type of substrate , 2001 .

[4]  A. Christopoulos,et al.  Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting , 2004 .

[5]  E. Heuvelink,et al.  Influence of assimilate supply on leaf formation in sweet pepper and tomato , 1996 .

[6]  I. A. Walter,et al.  The ASCE standardized reference evapotranspiration equation , 2005 .

[7]  Youssef Rouphael,et al.  Modelling the transpiration of a greenhouse zucchini crop grown under a Mediterranean climate using the Penman-Monteith equation and its simplified version , 2004 .

[8]  Andrew G. Ristvey,et al.  Deployment of Wireless Sensor Networks for Irrigation and Nutrient Management in Nursery and Greenhouse Operations , 2009 .

[9]  Juan Ignacio Montero,et al.  Evaluation and modelling of greenhouse cucumber-crop transpiration under high and low radiation conditions , 2005 .

[11]  O. Verdonck,et al.  THE PHYSICAL PROPERTIES OF THE SUBSTRATES IN HORTICULTURE , 1972 .

[12]  R. Baas,et al.  Transpiration of glasshouse rose crops: evaluation of regression models , 2006 .

[13]  A. Okuya,et al.  THE TRANSPIRATION OF GREENHOUSE TOMATO PLANTS IN ROCKWOOL CULTURE AND ITS RELATIONSHIP TO CLIMATIC FACTORS , 1988 .

[14]  A. Baille,et al.  A simplified model for predicting evapotranspiration rate of nine ornamental species vs. climate factors and leaf area , 1994 .

[15]  O. de Villele,et al.  BESOINS EN EAU DES CULTURES SOUS SERRE - ESSAI DE CONDUITE DES ARROSA GES EN FONCTION DE L'ENSOLEILLEMENT , 1974 .

[16]  R. D. Graaf,et al.  AUTOMATION OF THE WATER SUPPLY OF GLASSHOUSE CROPS BY MEANS OF CALCULATION THE TRANSPIRATION AND MEASURING THE AMOUNT OF DRAINAGE WATER , 1988 .

[17]  Peter D. Richardson,et al.  Fundamentals of Heat Transfer , 1962 .

[18]  C. Stanghellini,et al.  Transpiration of greenhouse crops : an aid to climate management , 1987 .

[19]  Jochen Hemming,et al.  Root Zone Sensors for Irrigation Management in Intensive Agriculture , 2009, Sensors.

[20]  Alberto Pardossi,et al.  An aggregated model for water requirements of greenhouse tomato grown in closed rockwool culture with saline water , 2007 .

[21]  L. Bacci,et al.  An integrated method for irrigation scheduling of potted plants , 2008 .

[22]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[23]  A. Antón,et al.  Transpiration from geranium grown under high temperatures and low humidities in greenhouses , 2001 .

[24]  A. Gosselin,et al.  Potential Evapotranspiration as a Means of Predicting Irrigation Timing in Greenhouse Tomatoes Grown in Peat Bags , 1994 .

[25]  B. J. Bailey,et al.  The effect of climate on tomato transpiration in greenhouses : measurements and models comparison , 1992 .

[26]  James E. Ayars,et al.  A processing method for weighing lysimeter data and comparison to micrometeorological ETo predictions , 2007 .

[27]  Y. Rouphael,et al.  Water use efficiency and transpiration of greenhouse geranium crop. , 2009 .

[28]  Constantinos Kittas,et al.  TRANSPIRATION AND CANOPY RESISTANCE OF GREENHOUSE SOILLESS ROSES: MEASUREMENTS AND MODELING , 1999 .

[29]  W. Luo,et al.  A photothermal model of leaf area index for greenhouse crops , 2010 .

[30]  Ep Heuvelink,et al.  New Development in Greenhouse Technology can Mitigate the Water Shortage Problem of the 21st Century , 2008 .

[31]  R. D. Graaf,et al.  COMPARING CALCULATED AND MEASURED WATER CONSUMPTION IN A STUDY OF THE (MINIMAL) TRANSPIRATION OF CUCUMBERS GROWN ON ROCKWOOL , 1998 .

[32]  A. Pardossi,et al.  NON-DESTRUCTIVE ESTIMATION OF LEAF AREA IN (SOLANUM LYCOPERSICUM L.) AND GERBERA (GERBERA JAMESONII H. BOLUS) , 2010 .

[33]  C. Stanghellini,et al.  On-line monitoring van transpiratie en fotosyntheseactiviteit , 2007 .

[34]  George Kantor,et al.  Irrigation Scheduling: An Overview of the Potential to Integrate Modeling and Sensing Techniques in a Windows-based Environment , 2005 .

[35]  J. Doorenbos,et al.  Guidelines for predicting crop water requirements , 1977 .

[36]  E. Fereresa,et al.  Evapotranspiration of horticultural crops in an unheated plastic greenhouse , 2005 .

[37]  R. Evans,et al.  Estimation of relative water use among ornamental landscape species , 2004 .

[38]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[39]  H. Jones Irrigation scheduling: advantages and pitfalls of plant-based methods. , 2004, Journal of experimental botany.

[40]  Claudio C. Pasian,et al.  Prediction of rose shoot development: model validation for the cultivar ‘Cara Mia’ and extension to the cultivars ‘Royalty’ and ‘Sonia’ , 1996 .

[41]  Alberto Pardossi,et al.  Chapter 1: Sustainable Greenhouse Systems. in “Sustainable Agriculture: Technology, Planning and Management”, Augusto Salazar e Ismael Rios Editors, Nova Science Publishers, Inc. NY USA , 2010 .

[42]  André Gosselin,et al.  Improvements in Automatic Irrigation of Peat-grown Greenhouse Tomatoes , 1994 .

[43]  Ted H. Short,et al.  Transpiration, leaf temperature and stomatal resistance of a greenhouse cucumber crop☆ , 1990 .

[44]  Luca Incrocci,et al.  Soil-less indoor-grown lettuce (Lactuca sativa L.): Approaching the modelling task , 2006, Environ. Model. Softw..

[45]  Rodney B. Thompson,et al.  Identification of irrigation and N management practices that contribute to nitrate leaching loss from an intensive vegetable production system by use of a comprehensive survey , 2007 .