A new approach for determining rice critical nitrogen concentration

被引：18

作者：

Confalonieri, R. ^{[1
]}

Debellini, C. ^{[2
]}

Pirondini, M. ^{[2
]}

Possenti, P. ^{[2
]}

Bergamini, L. ^{[2
]}

Barlassina, G. ^{[2
]}

Bartoli, A. ^{[2
]}

Agostoni, E. G. ^{[2
]}

Appiani, M. ^{[2
]}

Babazadeh, L. ^{[2
]}

Bedin, E. ^{[2
]}

Bignotti, A. ^{[2
]}

Bouca, M. ^{[2
]}

Bulgari, R. ^{[2
]}

Cantore, A. ^{[2
]}

Degradi, D. ^{[2
]}

Facchinetti, D. ^{[2
]}

Fiacchino, D. ^{[2
]}

Frialdi, M. ^{[2
]}

Galuppini, L. ^{[2
]}

Gorrini, C. ^{[2
]}

Gritti, A. ^{[2
]}

Gritti, P. ^{[2
]}

Lonati, S. ^{[2
]}

Martinazzi, D. ^{[2
]}

Messa, C. ^{[2
]}

Minardi, A. ^{[2
]}

Nascimbene, L. ^{[2
]}

Oldani, D. ^{[2
]}

Pasqualini, E. ^{[2
]}

Perazzolo, F. ^{[2
]}

Pirovano, L. ^{[2
]}

Pozzi, L. ^{[2
]}

Rocchetti, G. ^{[2
]}

Rossi, S. ^{[2
]}

Rota, L. ^{[2
]}

Rubaga, N. ^{[2
]}

Russo, G. ^{[2
]}

Sala, J. ^{[2
]}

Seregni, S. ^{[2
]}

Sessa, F. ^{[2
]}

Silvestri, S. ^{[2
]}

Simoncelli, P. ^{[2
]}

Soresi, D. ^{[2
]}

Stemberger, C. ^{[2
]}

Tagliabue, P. ^{[2
]}

Tettamanti, K. ^{[2
]}

Vinci, M. ^{[2
]}

Vittadini, G. ^{[2
]}

Zanimacchia, M. ^{[2
]}

机构：

[1] Univ Milan, Dept Plant Prod, I-20133 Milan, Italy

[2] Univ Milan, Students Cropping Syst Ms Course, I-20133 Milan, Italy

来源：

JOURNAL OF AGRICULTURAL SCIENCE | 2011年 / 149卷

关键词：

ORYZA-SATIVA L; N ACCUMULATION; JAPONICA RICE; GROWTH; YIELD; FERTILIZATION; TRANSLOCATION; SIMULATION; CULTIVARS; CROPSYST;

D O I：

10.1017/S0021859611000177

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

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 saliva 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.

引用

页码：633 / 638

页数：6

共 30 条

[11] DECLINE IN PERCENTAGE N OF C3 AND C4 CROPS WITH INCREASING PLANT MASS [J].