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A new approach for determining rice critical nitrogen concentration

Published online by Cambridge University Press:  15 February 2011

R. CONFALONIERI ,
C. DEBELLINI ,
M. PIRONDINI ,
P. POSSENTI ,
L. BERGAMINI ,
G. BARLASSINA ,
A. BARTOLI ,
E. G. AGOSTONI ,
M. APPIANI  and
L. BABAZADEH
...Show all authors
R. CONFALONIERI*
Affiliation:
Department of Plant Production, University of Milan, Via Celoria 2, 20133 Milan, Italy
C. DEBELLINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. PIRONDINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
P. POSSENTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. BERGAMINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
G. BARLASSINA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. BARTOLI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
E. G. AGOSTONI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. APPIANI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. BABAZADEH
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
E. BEDIN
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. BIGNOTTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. BOUCA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
R. BULGARI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. CANTORE
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. DEGRADI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. FACCHINETTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. FIACCHINO
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. FRIALDI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. GALUPPINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
C. GORRINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. GRITTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
P. GRITTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
S. LONATI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. MARTINAZZI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
C. MESSA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. MINARDI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. NASCIMBENE
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. OLDANI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
E. PASQUALINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
F. PERAZZOLO
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. PIROVANO
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. POZZI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
G. ROCCHETTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
S. ROSSI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
L. ROTA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
N. RUBAGA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
G. RUSSO
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
J. SALA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
S. SEREGNI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
F. SESSA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
S. SILVESTRI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
P. SIMONCELLI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
D. SORESI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
C. STEMBERGER
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
P. TAGLIABUE
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
K. TETTAMANTI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. VINCI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
G. VITTADINI
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. ZANIMACCHIA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
O. ZENATO
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. ZETTA
Affiliation:
Students of the Cropping Systems Ms course, University of Milan, Via Celoria 2, 20133 Milan, Italy
S. BREGAGLIO
Affiliation:
Department of Plant Production, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. E. CHIODINI
Affiliation:
Department of Plant Production, University of Milan, Via Celoria 2, 20133 Milan, Italy
A. PEREGO
Affiliation:
Department of Plant Production, University of Milan, Via Celoria 2, 20133 Milan, Italy
M. ACUTIS
Affiliation:
Department of Plant Production, University of Milan, Via Celoria 2, 20133 Milan, Italy
*
*To whom all correspondence should be addressed. Email: [email protected]
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Summary

A reliable evaluation of crop nutritional status is crucial for supporting fertilization aiming at maximizing qualitative and quantitative aspects of production and reducing the environmental impact of cropping systems. Most of the available simulation models evaluate crop nutritional status according to the nitrogen (N) dilution law, which derives critical N concentration as a function of above-ground biomass. An alternative approach, developed during a project carried out with students of the Cropping Systems Masters course at the University of Milan, was tested and compared with existing models (N dilution law and approaches implemented in EPIC and DAISY models). The new model (MAZINGA) reproduces the effect of leaf self-shading in lowering plant N concentration (PNC) through an inverse of the fraction of radiation intercepted by the canopy. The models were tested using data collected in four rice (Oryza sativa L.) experiments carried out in Northern Italy under potential and N-limited conditions. MAZINGA was the most accurate in identifying the critical N concentration, and therefore in discriminating PNC of plants growing under N-limited and non-limited conditions, respectively. In addition, the present work proved the effectiveness of crop models when used as tools for supporting education.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 149 , Issue 5 , October 2011 , pp. 633 - 638
Copyright
Copyright © Cambridge University Press 2011

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