Agronomie最新文献_第2页

Methodology of adaptation of the STICS model to a new crop: spring linseed (Linum usitatissimum, L.) 新作物春亚麻(Linum usitatissimum, L.)的gis模型适应方法

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004032

F. Flénet, P. Villon, F. Ruget

{"title":"Methodology of adaptation of the STICS model to a new crop: spring linseed (Linum usitatissimum, L.)","authors":"F. Flénet, P. Villon, F. Ruget","doi":"10.1051/AGRO:2004032","DOIUrl":"https://doi.org/10.1051/AGRO:2004032","url":null,"abstract":"The STICS simulation model was adapted for linseed. An original procedure was used. Firstly, options were selected from among the possibilities available in STICS to simulate the processes of crops. Secondly, the model was calibrated following six steps: 1. gathering of information, 2. the use of parameters from the literature or from other models, 3. the use of STICS parameters for other crops if there is an analogy with linseed, 4. the use of the experimental data to determine parameters which can be measured or calculated, 5. the use of the experimental data to determine parameters by testing a range of values, and 6. the checking of consistency between the parameters and their physical or biological meaning. After adaptation to linseed, the simulations of leaf area, biomass, water consumption, plant nitrogen content, seed number and seed yield were in good agreement with the measurements used for calibration. Thirdly, the results of calculations by STICS were compared with measurements not used for calibration. There was little difference between calculations and measurements of leaf area, biomass, plant nitrogen content and seed number, while seed yield was overestimated because of diseases and lodging, which are not taken into account by the model. However, the differences in seed yield between treatments were properly simulated. This work was a first step towards developing a model to improve linseed crop management. To this end, modifications are needed to account for all yield limitations.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"83 1 1","pages":"367-381"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79658570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29

Coupling the Soil-Vegetation-Atmosphere-Transfer Scheme ORCHIDEE to the agronomy model STICS to study the influence of croplands on the European carbon and water budgets 将土壤-植被-大气-转移方案ORCHIDEE与农学模型STICS耦合，研究农田对欧洲碳和水收支的影响

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004038

N. Noblet-Ducoudré, S. Gervois, P. Ciais, N. Viovy, N. Brisson, B. Séguin, A. Perrier

{"title":"Coupling the Soil-Vegetation-Atmosphere-Transfer Scheme ORCHIDEE to the agronomy model STICS to study the influence of croplands on the European carbon and water budgets","authors":"N. Noblet-Ducoudré, S. Gervois, P. Ciais, N. Viovy, N. Brisson, B. Séguin, A. Perrier","doi":"10.1051/AGRO:2004038","DOIUrl":"https://doi.org/10.1051/AGRO:2004038","url":null,"abstract":"Agriculture is still accounted for in a very simplistic way in the land-surface models which are coupled to climate models, while the area it occupies will significantly increase in the next century according to future scenarios. In order to improve the representation of croplands in a Dynamic Global Vegetation Model named ORCHIDEE (which can be coupled to the IPSL 1 climate model), we have (1) developed a procedure which assimilates some of the variables simulated by a detailed crop model, STICS, and (2) modified some parameterisations to avoid inconsistencies between assimilated and computed variables in ORCHIDEE. Site simulations show that the seasonality of the cropland-atmosphere fluxes of water, energy and CO 2 is strongly modified when more realistic crop parameterisations are introduced in ORCHIDEE. A more realistic representation of wheat and corn croplands over Western Europe leads to a drying out of the atmosphere at the end of summer and during autumn, while the soils remain wetter, specially at the time when winter crops are sowed. The seasonality of net CO 2 uptake fluxes is also enhanced and shortened.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"1 1","pages":"397-407"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76773368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 88

Wheat yield estimation using remote sensing and the STICS model in the semiarid Yaqui valley, Mexico 基于遥感和gis模型的墨西哥半干旱雅基河谷小麦产量估算

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004037

Julio C. Rodríguez, B. Duchemin, R. Hadria, C. Watts, J. Garatuza, A. Chehbouni, S. Khabba, G. Boulet, E. Palacios, A. Lahrouni

{"title":"Wheat yield estimation using remote sensing and the STICS model in the semiarid Yaqui valley, Mexico","authors":"Julio C. Rodríguez, B. Duchemin, R. Hadria, C. Watts, J. Garatuza, A. Chehbouni, S. Khabba, G. Boulet, E. Palacios, A. Lahrouni","doi":"10.1051/AGRO:2004037","DOIUrl":"https://doi.org/10.1051/AGRO:2004037","url":null,"abstract":"During the 1999/2000 agricultural seasons, an experiment was carried out on winter wheat fields in the semiarid Yaqui Valley (Northwest Mexico). This data set was used to calibrate the evolution of the leaf area index (LAI) simulated by STICS, which was found to be in excellent agreement with estimates obtained from field reflectance measurements. After calibration, STICS was able to simulate satisfactorily the seasonal levels and trends observed in net radiation, soil moisture and evapotranspiration, but the crop temperature was overestimated by about 2.5 °C. On a larger scale, STICS was run on 16 fields with contrasting management practices. The simulations indicate that yield predictability is significantly lower for later sowing dates, consistent with observations. The seasonal variations of field and satellite data (Landsat-ETM+, Terra-MODIS and VEGETATION) NDVI were very close. However, some difficulties were noted: saturation of NDVI at high LAI values and smoothed variability on a 1-km spatial scale, as well as the need for a sound methodology for processing satellite data.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"34 1","pages":"295-304"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80272272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

Modelling crop residue mulching effects on water use and production of maize under semi-arid and humid tropical conditions 模拟半干旱和湿润热带条件下作物残茬覆盖对玉米水分利用和产量的影响

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004029

E. Scopel, Fernando-Antonio Macena Da Silva, M. Corbeels, F. Affholder, F. Maraux

引用次数: 178

Use of SPOT4-VEGETATION satellite data to improve pasture production simulated by STICS included in the ISOP French system 利用SPOT4-VEGETATION卫星数据改善ISOP法国系统中包含的STICS模拟的牧场生产

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004034

C. D. Bella, R. Faivre, F. Ruget, B. Séguin, M. Guérif, B. Combal, M. Weiss, C. Rebella

{"title":"Use of SPOT4-VEGETATION satellite data to improve pasture production simulated by STICS included in the ISOP French system","authors":"C. D. Bella, R. Faivre, F. Ruget, B. Séguin, M. Guérif, B. Combal, M. Weiss, C. Rebella","doi":"10.1051/AGRO:2004034","DOIUrl":"https://doi.org/10.1051/AGRO:2004034","url":null,"abstract":"In France, pastures represent a significant land-cover type, which mainly sustains husbandry production. For this reason, it is of great benefit to develop real-time monitoring of pasture biomass production, taking into account its spatial and temporal variability. The absence of low-cost methods applicable to large regions has oriented French stakeholders to the use of growth simulation models adequately informed through spatialised databases (such as the ISOP system). Remote-sensing data may be considered a potential tool to improve simulations by objective observations in a real-time framework and the aim of this work was to evaluate this potential role of remote sensing. Thirteen forage regions (administrative partitioning of the French territory for pastures and grasslands) were selected in France, differing by their soil, climatic and land-cover characteristics. SPOT 4 -VEGETATION satellite images (1 km 2 resolution) were used to provide the spectral signature corresponding to pure pasture, using subpixel estimation methods. This information was then related to growth variables calculated by the STICS-pasture model (included in the ISOP system). We found that the best relations were obtained between a middle infrared-based vegetation index (SWVI) calculated from the elementary reflectance bands of the satellite, and the leaf area index (LAI) calculated from STICS. The use of these relations first showed the ability of satellite data to provide real-time estimations of growth status variables. Second, the comparison between both types of data showed that spatial and temporal differences existed between satellite and model information, mainly during the harvesting periods. This result could contribute to improving the model evaluations on a regional scale.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"215 1","pages":"437-444"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85883861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria 作物模型STICS根据农业环境标准推荐氮肥施用量的能力评价

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004036

V. Houlès, B. Mary, M. Guérif, D. Makowski, E. Justes

{"title":"Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria","authors":"V. Houlès, B. Mary, M. Guérif, D. Makowski, E. Justes","doi":"10.1051/AGRO:2004036","DOIUrl":"https://doi.org/10.1051/AGRO:2004036","url":null,"abstract":"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.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"10 1","pages":"339-349"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86121551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 56

Impact of global warming on the growing cycles of three forage systems in upland areas of southeastern France 全球变暖对法国东南部高地三种牧草系统生长周期的影响

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004028

Stéphanie Juin, N. Brisson, P. Clastre, P. Grand

引用次数: 19

Comparison of parameter estimation methods for crop models 作物模型参数估计方法的比较

Agronomie Pub Date : 2004-09-01 DOI: 10.1051/AGRO:2004033

Marie Tremblay, D. Wallach

引用次数: 58

Protein content and dry weight of seeds from various pea genotypes 不同基因型豌豆种子的蛋白质含量和干重

Agronomie Pub Date : 2004-07-01 DOI: 10.1051/AGRO:2004025

S. Atta, S. Maltese, R. Cousin

{"title":"Protein content and dry weight of seeds from various pea genotypes","authors":"S. Atta, S. Maltese, R. Cousin","doi":"10.1051/AGRO:2004025","DOIUrl":"https://doi.org/10.1051/AGRO:2004025","url":null,"abstract":"Pea seed protein content (SPC) and seed dry weight (SDW) are both influenced by genetic and environmental factors. To assess the variations of these within-plant traits between seeds, six genotypes were field tested. The sequential seed development at nodes along the main stem was determined. Nitrogen fixation was measured by the acetylene reduction assay (ARA). At maturity, protein content and dry weight were measured according to seed position on the plant. Individual protein content was determined by near-infrared transmission spectroscopy. The results show a significant difference in protein content between nodes of the genotypes Solara, L765 and L833. Protein content tended to decrease from the bottom to the top of the plant for these genotypes. The difference in protein content between the lowest and the uppermost node was about 26 g kg -1 for Solara, 40 g kg -1 for L765 and 49 g kg -1 for L833. There were also significant differences in dry weight between plant nodes for all genotypes, except Finale. In addition, the range of difference in dry weight between plant nodes was higher than that for protein content. Further, to determine the influence of morphological position on individual protein content and dry weight, multiple linear regression was established on node position, pod position on the node, and seed position within pods. The results showed that protein content and dry weight were not influenced either by within-pod seed position or pod position on the raceme. Moreover, protein content and dry weight were mainly influenced by node position on the main stem. However, for protein content, the effect of node position varied with genotype, indicating a genetic variability for this character. This genetic variability could be attributed to the difference between genotypes in the ability to maintain nitrogen fixation during the onset of seed filling. For dry weight, the decrease in seed weight for upper nodes of the plant also varied with genotype in relation to the duration of seed filling and the seed growth rate.","PeriodicalId":7644,"journal":{"name":"Agronomie","volume":"17 1","pages":"257-266"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72833304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

Responses of common bean (Phaseolus vulgaris L.) to photosynthetic irradiance levels during three phenological phases 菜豆(Phaseolus vulgaris L.)三个物候期对光合辐射水平的响应

Agronomie Pub Date : 2004-07-01 DOI: 10.1051/AGRO:2004024

W. Worku, A. Skjelvåg, H. Gislerød

引用次数: 19