Irrigere: An improved version of an irrigation scheduling model for the processing tomato crop

Acta Horticulturae

Volumn 537, Issue , 2000, Pages 519-526

  Battilani, A ^a   Bussieres P ^b   Dumas, Y ^b  

^a Cons Bon Canale Emiliano Romagnolo ^*  (Italy)

^b CEMAGREF   (France)

Author keywords

Irrigation; Lycopersicon esculentum; Quality; Software; Water balance

Indexed keywords

LYCOPERSICON ESCULENTUM;

EID: 84879445159     PISSN: 05677572     EISSN: None     Source Type: Book Series    
DOI: 10.17660/ActaHortic.2000.537.61     Document Type: Article

References (18)

1. Allen, R. G., Smith, M., Perrier, A. and Pereira, L. S., 1994a. An update for the definition of reference evapotranspiration. ICID Bullettin 43(2):1-34.
2. Allen, R. G., Smith, M., Pereira, L. S., and Perrier, A. 1994b. An update for the calculation of reference evapotranspiration. ICID Bullettin 43(2):35-92.
3. Allen, R. G., Pereira, L. S., Raes, D. and Smith, M., 1999. Crop Evapotranspiration. Guidelines for computing crop water requirements. FAO ID Paper 56. FAO Rome.
4. Battilani, A., Piva, A. and Dadomo, M., 1999a. Evaluation of thr decision support system for irrigation scheduling of processing tomato adopted in the Emilia-Romagna region. Acta Hort 487:507-511.
5. Battilani, A., Bussieres, P., Combres, J. P., Anconelli, S. and Dumas, Y., 1999b. Irrigere: a computer program to facilitate processing tomato irrigation management. Acta Hort 487:537-543.
6. Bussieres P. and Dumas, Y., 1992. An analysis scheme for modeling the functioning of a tomato canopy. Acta Hort. 301:171-176.
7. Doorenbos, J. and Kassam, A. H., 1979. Yield response to water. FAO Irrig. and Drain. Paper n. 33. FAO, Rome, Italy.
8. Dumas, Y., 1992. Crop management for processing tomatoes in the year 2000. Acta Hort. 301:117-134.
9. Dumas, Y., Bussieres, P., Battilani, A., Comillon, P., Prieto Losada, H., Branthome, X., Di Lucca, G., Bues, R., Dadomo, M., Machado, R., Christou, M., San Martin, C., Lyannaz, J. P., Koutsos, T. and Ho, L. C., 1999. QUALITOM, a european research program to build and test technical itineraries in processing tomato cropping. Acta Hort 487:151-157.
10. Erie, L. J., French, O. F., Bucks, D. A. and Harris, K., 1981. Consumptive use of water by major crops in the southwesterns United States. USDA Cons. Res. Reports 29:42 pp.
11. Fox, F. A. Jr., Scherer, T. F., Slack, D. C. and Clark, L. J., 1992. Arizona irrigation scheduling (AZSCHED v. 1.01): Users Manual. The Univ. of Arizona Coop. Ext. Ser. Agr. and Biosystems Engr. 35 pp.
12. Jones, J. W., Dayon, E., Allen, L. H., Van Keulen, H. and Challa, H., 1991. A dynamic tomato growth and yield model (TOMGRO). Trans. ASAE 34:663-772.
13. Lana, E. P. and Haber, E. S., 1952. Season variabilityas indicated by cumulative degree hours in sweet com. Proc. Amer. Soc. Hort. Sci. 59:389-392.
14. Madraga, F. J. and Knott, J. E., 1951. Temperature summations in relation to lettuce growth. Proc. Amer. Soc. Hort. Sci. 58:147-152.
15. Pereira, L. S., Feddes, R. A., Gilley, J. R. and Lesaffre, B., 1996. Sustainability of irrigated agriculture. NATO-ASI Series E Vol 312. Kluwer Academic Publisher, Dordrecht, The Netherland, 631 pp.
16. Ritchie, J. T., 1972. A model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8:1204-1213.
17. Slack, D. C., Martin, E. C., Sheta, A. E., Fox, F. Jr, Clark, L. J., and Ashley, R. O., 1996. Crop coefficients normalised for climatic variability with growing-degree-days. Evapotranspiration and irrigation scheduling. San Antonio (TX-USA). ASAE proc.
18. Williams, J. R., Jones, C. A. and Dyke P. T., 1990. EPIC-Erosion/ Productivity Impact Calculator. USDA tech. Bulletin n. 1768