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Contenuto archiviato il 2024-05-07

INNOVATIVE BIOLOGICAL INDICATORS TO IMPROVE THE EFFICIENCY OF WATER AND NITROGEN USE AND THE FRUIT QUALITY IN TREE CROPS

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Irrigation scheduling programs based on using deficit irrigation approaches and Trunk Diameter Fluctuations (TDF) sensors using recommendations on threshold values of TDF that vary depending of evaporative demand. Regulated Deficit Irrigation (RDI) programs for olive and citrus (RDI programs allowed significant, 25-30% in olive and 8-22% in citrus, water saving without reducing yield). -Threshold values for TDF derived parameters for irrigation applications could be estimated from the results of this work to be between 200-300 microns of maximum daily shrinkage (MDS) for apple and peach trees, 250-350 microns for citrus and 400-600 microns for olives, depending on the evaporative demand. Such values may now be used for developing irrigation programs in the species studied in this project. -The deficit irrigation programs tested under this project demonstrated that it is possible to reduce irrigation applications in olive, citrus, apple, and peach trees (between 10 to 30 percent of the standard requirements under excellent management) without affecting yield and often with increases in fruit quality.
The automata prototype developed under this project for programming irrigation using plant and soil-based sensors, proved to be reliable and practical for field operation and attracted the interest of a commercial corporation who currently markets this product. The principles for automatic irrigation using soil-based and plant-based sensors were applied to the development of a prototype for irrigation scheduling. Group 6 developed prototype named ISIS and, in conjunction with a private corporation, generated a commercial system called MicroISIS. It can use different kinds of soil-based or plant-based sensors, and different criteria that incorporate thresholds from several sensors for irrigation scheduling. The MicroISIS was tested under field conditions for two seasons performed satisfactorily.

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