Durum wheat modeling: The Delphi system, 11 years of observations in Italy

P. Toscano; R. Ranieri; A. Matese; F.P. Vaccari; B. Gioli; A. Zaldei; M. Silvestri; C. Ronchi; P. La Cava; John Roy Porter; F. Miglietta

doi:10.1016/j.eja.2012.06.003

Durum wheat modeling: The Delphi system, 11 years of observations in Italy

P. Toscano, R. Ranieri, A. Matese, F.P. Vaccari, B. Gioli, A. Zaldei, M. Silvestri, C. Ronchi, P. La Cava, John Roy Porter, F. Miglietta

11 Citations (Scopus)

Abstract

Crop models are frequently used in ecology, agronomy and environmental sciences for simulating crop and environmental variables at a discrete time step. The aim of this work was to test the predictive capacity of the Delphi system, calibrated and determined for each pedoclimatic factor affecting durum wheat during phenological development, at regional scale. We present an innovative system capable of predicting spatial yield variation and temporal yield fluctuation in long-term analysis, that are the main purposes of regional crop simulation study. The Delphi system was applied to simulate growth and yield of durum wheat in the major Italian supply basins (Basilicata, Capitanata, Marche, Tuscany). The model was validated and evaluated for three years (1995–1997) at 11 experimental fields and then used in operational mode for eleven years (1999–2009), showing an excellent/good accuracy in predicting grain yield even before maturity for a wide range of growing conditions in the Mediterranean climate, governed by different annual weather patterns. The results were evaluated on the basis of regression and normalized root mean squared error with known crop yield statistics at regional level.

Original language	English
Journal	European Journal of Agronomy
Volume	43
Pages (from-to)	108-118
Number of pages	11
ISSN	1161-0301
DOIs	https://doi.org/10.1016/j.eja.2012.06.003
Publication status	Published - Nov 2012

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10.1016/j.eja.2012.06.003

Cite this

@article{ce62808941e346a899bb77a77fb5e362,

title = "Durum wheat modeling: The Delphi system, 11 years of observations in Italy",

abstract = "Crop models are frequently used in ecology, agronomy and environmental sciences for simulating crop and environmental variables at a discrete time step. The aim of this work was to test the predictive capacity of the Delphi system, calibrated and determined for each pedoclimatic factor affecting durum wheat during phenological development, at regional scale. We present an innovative system capable of predicting spatial yield variation and temporal yield fluctuation in long-term analysis, that are the main purposes of regional crop simulation study. The Delphi system was applied to simulate growth and yield of durum wheat in the major Italian supply basins (Basilicata, Capitanata, Marche, Tuscany). The model was validated and evaluated for three years (1995–1997) at 11 experimental fields and then used in operational mode for eleven years (1999–2009), showing an excellent/good accuracy in predicting grain yield even before maturity for a wide range of growing conditions in the Mediterranean climate, governed by different annual weather patterns. The results were evaluated on the basis of regression and normalized root mean squared error with known crop yield statistics at regional level.",

author = "P. Toscano and R. Ranieri and A. Matese and F.P. Vaccari and B. Gioli and A. Zaldei and M. Silvestri and C. Ronchi and {La Cava}, P. and Porter, {John Roy} and F. Miglietta",

year = "2012",

month = nov,

doi = "10.1016/j.eja.2012.06.003",

language = "English",

volume = "43",

pages = "108--118",

journal = "European Journal of Agronomy",

issn = "1161-0301",

publisher = "Elsevier",

}

TY - JOUR

T1 - Durum wheat modeling

T2 - The Delphi system, 11 years of observations in Italy

AU - Toscano, P.

AU - Ranieri, R.

AU - Matese, A.

AU - Vaccari, F.P.

AU - Gioli, B.

AU - Zaldei, A.

AU - Silvestri, M.

AU - Ronchi, C.

AU - La Cava, P.

AU - Porter, John Roy

AU - Miglietta, F.

PY - 2012/11

Y1 - 2012/11

N2 - Crop models are frequently used in ecology, agronomy and environmental sciences for simulating crop and environmental variables at a discrete time step. The aim of this work was to test the predictive capacity of the Delphi system, calibrated and determined for each pedoclimatic factor affecting durum wheat during phenological development, at regional scale. We present an innovative system capable of predicting spatial yield variation and temporal yield fluctuation in long-term analysis, that are the main purposes of regional crop simulation study. The Delphi system was applied to simulate growth and yield of durum wheat in the major Italian supply basins (Basilicata, Capitanata, Marche, Tuscany). The model was validated and evaluated for three years (1995–1997) at 11 experimental fields and then used in operational mode for eleven years (1999–2009), showing an excellent/good accuracy in predicting grain yield even before maturity for a wide range of growing conditions in the Mediterranean climate, governed by different annual weather patterns. The results were evaluated on the basis of regression and normalized root mean squared error with known crop yield statistics at regional level.

AB - Crop models are frequently used in ecology, agronomy and environmental sciences for simulating crop and environmental variables at a discrete time step. The aim of this work was to test the predictive capacity of the Delphi system, calibrated and determined for each pedoclimatic factor affecting durum wheat during phenological development, at regional scale. We present an innovative system capable of predicting spatial yield variation and temporal yield fluctuation in long-term analysis, that are the main purposes of regional crop simulation study. The Delphi system was applied to simulate growth and yield of durum wheat in the major Italian supply basins (Basilicata, Capitanata, Marche, Tuscany). The model was validated and evaluated for three years (1995–1997) at 11 experimental fields and then used in operational mode for eleven years (1999–2009), showing an excellent/good accuracy in predicting grain yield even before maturity for a wide range of growing conditions in the Mediterranean climate, governed by different annual weather patterns. The results were evaluated on the basis of regression and normalized root mean squared error with known crop yield statistics at regional level.

U2 - 10.1016/j.eja.2012.06.003

DO - 10.1016/j.eja.2012.06.003

M3 - Journal article

SN - 1161-0301

VL - 43

SP - 108

EP - 118

JO - European Journal of Agronomy

JF - European Journal of Agronomy

ER -