Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria

被引:41
作者
Houlès, V
Mary, B
Guérif, M
Makowski, D
Justes, E
机构
[1] INRA, Unite Agron, F-02007 Laon, France
[2] INRA, Unite CSE, F-84914 Avignon 9, France
[3] INRA, INA PG, UMR Agron, F-78850 Thiverval Grignon, France
[4] INRA, Unite Agron, F-31326 Castanet Tolosan, France
来源
AGRONOMIE | 2004年 / 24卷 / 6-7期
关键词
crop model; agro-environmental criteria; evaluation; nitrogen fertilisation;
D O I
10.1051/agro:2004036
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The use of crop models for nitrogen fertiliser management raises several issues. A first problem is to define suitable criteria for optimising nitrogen fertilisation in function of economic, quality and environmental objectives. A second issue is to assess the capacity of the crop model to predict the variables involved in the calculation of the criteria such as grain yield, grain protein content, residual soil mineral nitrogen or nitrogen balance. A third issue is to evaluate the results obtained by applying the decision rules selected by the crop model. The three problems are considered in this paper in the case of winter wheat and the STICS model. Fourteen field experiments with various N fertilisation strategies were used for evaluating the model. STICS predicted grain yield and nitrogen balance more accurately than protein content and soil mineral N at harvest. Among the eight criteria tested for optimising N fertilisation, those using a maximal threshold on nitrogen balance seem to be the most valuable for satisfying agricultural and environmental objectives. Under conditions of environmental constraint, STICS was more efficient than the reference method (AZOBIL) at selecting the optimal nitrogen fertilisation scenario.
引用
收藏
页码:339 / 349
页数:11
相关论文
共 38 条
[1]   Evaluating decision rules for nitrogen fertilization [J].
Antoniadou, T ;
Wallach, B .
BIOMETRICS, 2000, 56 (02) :420-426
[2]   Simulation of grain protein content with APSIM-Nwheat [J].
Asseng, S ;
Bar-Tal, A ;
Bowden, JW ;
Keating, BA ;
Van Herwaarden, A ;
Palta, JA ;
Huth, NI ;
Probert, ME .
EUROPEAN JOURNAL OF AGRONOMY, 2002, 16 (01) :25-42
[3]   Performance of the APSIM-wheat model in Western Australia [J].
Asseng, S ;
Keating, BA ;
Fillery, IRP ;
Gregory, PJ ;
Bowden, JW ;
Turner, NC ;
Palta, JA ;
Abrecht, DG .
FIELD CROPS RESEARCH, 1998, 57 (02) :163-179
[4]   Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom [J].
Bannayan, M ;
Crout, NMJ ;
Hoogenboom, G .
AGRONOMY JOURNAL, 2003, 95 (01) :114-125
[5]   Tools for optimizing management of spatially-variable fields [J].
Booltink, HWG ;
van Alphen, BJ ;
Batchelor, WD ;
Paz, JO ;
Stoorvogel, JJ ;
Vargas, R .
AGRICULTURAL SYSTEMS, 2001, 70 (2-3) :445-476
[6]   LINKING PHYSICAL REMOTE-SENSING MODELS WITH CROP GROWTH SIMULATION-MODELS, APPLIED FOR SUGAR-BEET [J].
BOUMAN, BAM .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1992, 13 (14) :2565-2581
[7]   An overview of the crop model STICS [J].
Brisson, N ;
Gary, C ;
Justes, E ;
Roche, R ;
Mary, B ;
Ripoche, D ;
Zimmer, D ;
Sierra, J ;
Bertuzzi, P ;
Burger, P ;
Bussière, F ;
Cabidoche, YM ;
Cellier, P ;
Debaeke, P ;
Gaudillère, JP ;
Hénault, C ;
Maraux, F ;
Seguin, B ;
Sinoquet, H .
EUROPEAN JOURNAL OF AGRONOMY, 2003, 18 (3-4) :309-332
[8]   STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize [J].
Brisson, N ;
Ruget, F ;
Gate, P ;
Lorgeau, J ;
Nicoullaud, B ;
Tayot, X ;
Plenet, D ;
Jeuffroy, MH ;
Bouthier, A ;
Ripoche, D ;
Mary, B ;
Justes, E .
AGRONOMIE, 2002, 22 (01) :69-92
[9]   EFFECT OF NITROGEN-FERTILIZER RATE ON SOIL NITRATE NITROGEN-CONTENT AFTER HARVESTING WINTER-WHEAT [J].
CHANEY, K .
JOURNAL OF AGRICULTURAL SCIENCE, 1990, 114 :171-176
[10]   THE CONTRIBUTION OF FERTILIZER NITROGEN TO LEACHABLE NITROGEN IN THE UK - A REVIEW [J].
DAVIES, DB ;
SYLVESTERBRADLEY, R .
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 1995, 68 (04) :399-406