Relevant bibliographies by topics / Evaluation of crop model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Evaluation of crop model'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Evaluation of crop model"

1

Nagarajan, Kumar, R. J. O'Neil, J. Lowenberg-DeBoer, and C. R. Edwards. "Indiana Soybean System Model (ISSM): I. Crop model evaluation." Agricultural Systems 43, no. 4 (January 1993): 357–79. http://dx.doi.org/10.1016/0308-521x(93)90029-2.

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Wu, X., N. Vuichard, P. Ciais, N. Viovy, N. de Noblet-Ducoudré, X. Wang, V. Magliulo, et al. "ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe." Geoscientific Model Development 9, no. 2 (March 1, 2016): 857–73. http://dx.doi.org/10.5194/gmd-9-857-2016.

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Abstract. The response of crops to changing climate and atmospheric CO2 concentration ([CO2]) could have large effects on food production, and impact carbon, water, and energy fluxes, causing feedbacks to the climate. To simulate the response of temperate crops to changing climate and [CO2], which accounts for the specific phenology of crops mediated by management practice, we describe here the development of a process-oriented terrestrial biogeochemical model named ORCHIDEE-CROP (v0), which integrates a generic crop phenology and harvest module, and a very simple parameterization of nitrogen fertilization, into the land surface model (LSM) ORCHIDEEv196, in order to simulate biophysical and biochemical interactions in croplands, as well as plant productivity and harvested yield. The model is applicable for a range of temperate crops, but is tested here using maize and winter wheat, with the phenological parameterizations of two European varieties originating from the STICS agronomical model. We evaluate the ORCHIDEE-CROP (v0) model against eddy covariance and biometric measurements at seven winter wheat and maize sites in Europe. The specific ecosystem variables used in the evaluation are CO2 fluxes (net ecosystem exchange, NEE), latent heat, and sensible heat fluxes. Additional measurements of leaf area index (LAI) and aboveground biomass and yield are used as well. Evaluation results revealed that ORCHIDEE-CROP (v0) reproduced the observed timing of crop development stages and the amplitude of the LAI changes. This is in contrast to ORCHIDEEv196 where, by default, crops have the same phenology as grass. A halving of the root mean square error for LAI from 2.38 ± 0.77 to 1.08 ± 0.34 m2 m−2 was obtained when ORCHIDEEv196 and ORCHIDEE-CROP (v0) were compared across the seven study sites. Improved crop phenology and carbon allocation led to a good match between modeled and observed aboveground biomass (with a normalized root mean squared error (NRMSE) of 11.0–54.2 %), crop yield, daily carbon and energy fluxes (with a NRMSE of ∼ 9.0–20.1 and ∼ 9.4–22.3 % for NEE), and sensible and latent heat fluxes. The simulated yields for winter wheat and maize from ORCHIDEE-CROP (v0) showed a good match with the simulated results from STICS for three sites with available crop yield observations, where the average NRMSE was ∼ 8.8 %. The model data misfit for energy fluxes were within the uncertainties of the measurements, which themselves showed an incomplete energy balance closure within the range 80.6–86.3 %. The remaining discrepancies between the modeled and observed LAI and other variables at specific sites were partly attributable to unrealistic representations of management events by the model. ORCHIDEE-CROP (v0) has the ability to capture the spatial gradients of carbon and energy-related variables, such as gross primary productivity, NEE, and sensible and latent heat fluxes across the sites in Europe, which is an important requirement for future spatially explicit simulations. Further improvement of the model, with an explicit parameterization of nutritional dynamics and management, is expected to improve its predictive ability to simulate croplands in an Earth system model.
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Wu, X., N. Vuichard, P. Ciais, N. Viovy, N. de Noblet-Ducoudré, X. Wang, V. Magliulo, et al. "ORCHIDEE-CROP (v0), a new process based Agro-Land Surface Model: model description and evaluation over Europe." Geoscientific Model Development Discussions 8, no. 6 (June 22, 2015): 4653–96. http://dx.doi.org/10.5194/gmdd-8-4653-2015.

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Abstract. The responses of crop functioning to changing climate and atmospheric CO2 concentration ([CO2]) could have large effects on food production, and impact carbon, water and energy fluxes, causing feedbacks to climate. To simulate the responses of temperate crops to changing climate and [CO2], accounting for the specific phenology of crops mediated by management practice, we present here the development of a process-oriented terrestrial biogeochemical model named ORCHIDEE-CROP (v0), which integrates a generic crop phenology and harvest module and a very simple parameterization of nitrogen fertilization, into the land surface model (LSM) ORCHIDEEv196, in order to simulate biophysical and biochemical interactions in croplands, as well as plant productivity and harvested yield. The model is applicable for a range of temperate crops, but it is tested here for maize and winter wheat, with the phenological parameterizations of two European varieties originating from the STICS agronomical model. We evaluate the ORCHIDEE-CROP (v0) model against eddy covariance and biometric measurements at 7 winter wheat and maize sites in Europe. The specific ecosystem variables used in the evaluation are CO2 fluxes (NEE), latent heat and sensible heat fluxes. Additional measurements of leaf area index (LAI), aboveground biomass and yield are used as well. Evaluation results reveal that ORCHIDEE-CROP (v0) reproduces the observed timing of crop development stages and the amplitude of pertaining LAI changes in contrast to ORCHIDEEv196 in which by default crops have the same phenology than grass. A near-halving of the root mean square error of LAI from 2.38 ± 0.77 to 1.08 ± 0.34 m2 m−2 is obtained between ORCHIDEEv196 and ORCHIDEE-CROP (v0) across the 7 study sites. Improved crop phenology and carbon allocation lead to a general good match between modelled and observed aboveground biomass (with a normalized root mean squared error (NRMSE) of 11.0–54.2 %), crop yield, as well as of the daily carbon and energy fluxes with NRMSE of ~9.0–20.1 and ~9.4–22.3 % for NEE, and sensible and latent heat fluxes, respectively. The model data mistfit for energy fluxes are within uncertainties of the measurements, which themselves show an incomplete energy balance closure within the range 80.6–86.3 %. The remaining discrepancies between modelled and observed LAI and other variables at specific sites are partly attributable to unrealistic representation of management events. In addition, ORCHIDEE-CROP (v0) is shown to have the ability to capture the spatial gradients of carbon and energy-related variables, such as gross primary productivity, NEE, sensible heat fluxes and latent heat fluxes, across the sites in Europe, an important requirement for future spatially explicit simulations. Further improvement of the model with an explicit parameterization of nutrition dynamics and of management, is expected to improve its predictive ability to simulate croplands in an Earth System Model.
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Jahanshiri, Ebrahim, Nur Marahaini Mohd Nizar, Tengku Adhwa Syaherah Tengku Mohd Suhairi, Peter J. Gregory, Ayman Salama Mohamed, Eranga M. Wimalasiri, and Sayed N. Azam-Ali. "A Land Evaluation Framework for Agricultural Diversification." Sustainability 12, no. 8 (April 13, 2020): 3110. http://dx.doi.org/10.3390/su12083110.

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Shortlisting ecologically adaptable plant species can be a starting point for agricultural diversification projects. We propose a rapid assessment framework based on an ecological model that can accelerate the evaluation of options for sustainable crop diversification. To test the new model, expert-defined and widely available crop requirement data were combined with more than 100,000 occurrence data for 40 crops of different types (cereals, legumes, vegetables, fruits, and tubers/roots). Soil pH, texture, and depth to bedrock data were obtained and harmonised based on the optimal rooting depths of each crop. Global baseline temperature and rainfall data were used to extract averages at each location. To evaluate the ability of the method to capture intraspecies variation, a test was performed using more than 1000 accession records of bambara groundnut (Vigna subterranea (L.) Verdc.) as an exemplar underutilised crop. Results showed that a suitability index based on soil pH and an index that combines the thermal suitability moderated by the soil pH, texture, and depth suitability have the potential to predict crop adaptability. We show that the proposed method can be combined with traditional land use and crop models to evaluate diversification options for sustainable land and agrobiodiversity resources management.
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Müller, Christoph, Joshua Elliott, James Chryssanthacopoulos, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, et al. "Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications." Geoscientific Model Development 10, no. 4 (April 4, 2017): 1403–22. http://dx.doi.org/10.5194/gmd-10-1403-2017.

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Abstract. Crop models are increasingly used to simulate crop yields at the global scale, but so far there is no general framework on how to assess model performance. Here we evaluate the simulation results of 14 global gridded crop modeling groups that have contributed historic crop yield simulations for maize, wheat, rice and soybean to the Global Gridded Crop Model Intercomparison (GGCMI) of the Agricultural Model Intercomparison and Improvement Project (AgMIP). Simulation results are compared to reference data at global, national and grid cell scales and we evaluate model performance with respect to time series correlation, spatial correlation and mean bias. We find that global gridded crop models (GGCMs) show mixed skill in reproducing time series correlations or spatial patterns at the different spatial scales. Generally, maize, wheat and soybean simulations of many GGCMs are capable of reproducing larger parts of observed temporal variability (time series correlation coefficients (r) of up to 0.888 for maize, 0.673 for wheat and 0.643 for soybean at the global scale) but rice yield variability cannot be well reproduced by most models. Yield variability can be well reproduced for most major producing countries by many GGCMs and for all countries by at least some. A comparison with gridded yield data and a statistical analysis of the effects of weather variability on yield variability shows that the ensemble of GGCMs can explain more of the yield variability than an ensemble of regression models for maize and soybean, but not for wheat and rice. We identify future research needs in global gridded crop modeling and for all individual crop modeling groups. In the absence of a purely observation-based benchmark for model evaluation, we propose that the best performing crop model per crop and region establishes the benchmark for all others, and modelers are encouraged to investigate how crop model performance can be increased. We make our evaluation system accessible to all crop modelers so that other modeling groups can also test their model performance against the reference data and the GGCMI benchmark.
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Khafajeh, H., A. Banakar, S. Minaei, and M. Delavar. "Evaluation of AquaCrop model of cucumber under greenhouse cultivation." Journal of Agricultural Science 158, no. 10 (December 2020): 845–54. http://dx.doi.org/10.1017/s0021859621000472.

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AbstractWater consumption in agriculture is impossible without considering relations between water, soil and plant. In this regard, there are various models and developed software in order to evaluate relation between soil, water and crop growth stages. These models can be used for irrigation planning if properly optimized and applied. AquaCrop is one of the known crop models, which was developed by the Food and Agriculture Organization of the United Nations. In order to optimize this model for crop production and irrigation management, an experiment was developed in a hydroponic cucumber greenhouse. Various parameters including water consumption volume, crop yield and leaf area index were measured during a season. A fuzzy control system was utilized for controlling temperature, relative humidity, planting bed moisture, light intensity and carbon dioxide values. The main purpose of designing a control system in the greenhouse is to achieve the desired values of temperature and relative humidity. In this model, evapotranspiration, irrigation requirements and crop yield were simulated. The results show that the AquaCrop model can estimate evapotranspiration with the least error in the greenhouse environment, which is controlled by a fuzzy controller. Also the system has estimated the crop yield and biomass of the product with a good degree of precision and it may support crop production in a greenhouse, including crop management and environmental control.
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Colaizzi, P. D., R. C. Schwartz, S. R. Evett, T. A. Howell, P. H. Gowda, and J. A. Tolk. "Radiation Model for Row Crops: II. Model Evaluation." Agronomy Journal 104, no. 2 (March 2012): 241–55. http://dx.doi.org/10.2134/agronj2011.0083.

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Singh, Rajwinder, Rahul Rana, and Sunil Kr Singh. "Performance Evaluation of VGG models in Detection of Wheat Rust." Asian Journal of Computer Science and Technology 7, no. 3 (November 5, 2018): 76–81. http://dx.doi.org/10.51983/ajcst-2018.7.3.1892.

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The agricultural sector is the backbone of Indian economy and social development but due to lack of awareness towards crop management, a large number of crops get wasted each year. Automated Systems are required for this purpose. This paper tries to highlight the efficiency of two existing models of deep learning, VGG16 and VGG19 for proper detection of wheat rust disease in the infected wheat crop. These two models use convolutional neural networks for image classification and which can be used to design an intelligent system which can easily detect wheat rust in crop images. This paper basically presents the comparative analysis of the accuracy and efficiency along with usability to select the best model for systems that can be used for crop safety.
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Gebiso Challa, Tamrat. "Economic Evaluation of Asella Model-III Multi-crop Thresher." International Journal of Agricultural Economics 3, no. 3 (2018): 45. http://dx.doi.org/10.11648/j.ijae.20180303.12.

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Williams, Karina, Jemma Gornall, Anna Harper, Andy Wiltshire, Debbie Hemming, Tristan Quaife, Tim Arkebauer, and David Scoby. "Evaluation of JULES-crop performance against site observations of irrigated maize from Mead, Nebraska." Geoscientific Model Development 10, no. 3 (March 27, 2017): 1291–320. http://dx.doi.org/10.5194/gmd-10-1291-2017.

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Abstract. The JULES-crop model (Osborne et al., 2015) is a parametrisation of crops within the Joint UK Land Environment Simulator (JULES), which aims to simulate both the impact of weather and climate on crop productivity and the impact of croplands on weather and climate. In this evaluation paper, observations of maize at three FLUXNET sites in Nebraska (US-Ne1, US-Ne2 and US-Ne3) are used to test model assumptions and make appropriate input parameter choices. JULES runs are performed for the irrigated sites (US-Ne1 and US-Ne2) both with the crop model switched off (prescribing leaf area index (LAI) and canopy height) and with the crop model switched on. These are compared against GPP and carbon pool FLUXNET observations. We use the results to point to future priorities for model development and describe how our methodology can be adapted to set up model runs for other sites and crop varieties.
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Dissertations / Theses on the topic "Evaluation of crop model"

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Renwick, Randall R. "Evaluation of a crop simulation model for potatoes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ41762.pdf.

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Barrow, Elaine M. "On the construction and evaluation of scenarios of climate change for use in crop-climate models." Thesis, University of East Anglia, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297485.

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Abushnaf, Farag. "A land evaluation model for irrigated crops using multi-criteria analysis." Thesis, Sheffield Hallam University, 2014. http://shura.shu.ac.uk/19197/.

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This thesis investigated the optimal land suitability for irrigated crop production of barley and wheat in Benghazi region of Libya using multi-criteria analysis (MCA) of fuzzy logic and the Analytical Hierarchy Process (AHP). In the MCA, fourteen land suitability factors including twelve soil characteristics, topography and erosion hazard were evaluated. Local experts used their experience and assigned different weights based on crop requirements through pairwise comparison matrix. The combination of these methods was aimed at developing existing land evaluation model in the study area that was based on Boolean logic. Three models were developed based on Food and Agriculture Organization Framework: Model 1 was based on existing land evaluation model of Boolean and equal weights; Model 2 was based on Boolean but with difference in weights assigned using AHP; and Model 3 was based on Fuzzy and AHP. The results of these models were compared using crosstab classification (Kappa statistic and overall agreement). On comparison, Model 2 and Model 3 demonstrated higher agreement in spatial distribution of land suitability class than Model 1 for both barley and wheat crops. However, Model 3 is more realistic than the other two models when tested by linear regression. This implies that the application of fuzzy logic and AHP in MCA produces areas that are most suitable for barley and wheat production than would other methods. In practice, however, land management practices by farmers may lead to different yield in the selected suitable area. This thesis makes original contributions in the field of identifying the most suitable land evaluation model for application to crop production improvements. Furthermore, the results of this research will be useful to the Libyan authorities in planning for the optimisation of available land-use for strategic production of barley and wheat crops. This is pertinent to issues of food security. The approaches are transferable to other regions of the world which face similar challenges in domestic food production.
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Dorey, Elodie. "Modélisation de l'élaboration du rendement et de la qualité de l'ananas Queen Victoria : application à la conception de systèmes de culture durables à la Réunion." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20060/document.

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La culture de l'ananas s'est fortement développée à la Réunion et représente la première production fruitière de l'île en termes de valeur et de tonnage exporté. L'hétérogénéité des conditions climatiques de l'île ainsi que la diversité des pratiques culturales, notamment en ce qui concerne la fertilisation azotée et l'irrigation, mène à une forte variabilité des rendements, de la qualité gustative des fruits et d'utilisation des ressources naturelles du milieu. Le développement de systèmes de culture plus durables impose de repenser et d'optimiser l'assemblage des pratiques culturales, en prenant en compte les spécificités des différentes zones de production. Un modèle ad-hoc, SIMPIÑA a été développé afin de décrire la croissance et le développement de la plante et la qualité gustative des fruits (teneur en sucres et en acides) en fonction du climat et des pratiques culturales (poids de rejets plantés, densité, date d'induction florale, fertilisation et irrigation). Ce modèle présente la particularité d'intégrer des modules mécanistes (croissance de la plante, teneur en sucre des fruits, bilans hydriques et azotés) et des modules statistiques pour la prévision de l'acidité des fruits à la récolte et la partie économique. Les pratiques culturales sont prises en compte au travers de règles de décision qu'il est ainsi possible d'évaluer. Une typologie des pratiques culturales a été élaborée sur 40 exploitations de l'île, en amont, afin de réduire le champ des possibles et permettre de proposer des systèmes de culture innovants, en optimisant les performances des systèmes tout en prenant en compte les principales contraintes des exploitations. SIMPIÑA a été utilisé pour identifier des combinaisons de pratiques culturales des systèmes qu'il conviendra de tester « au champ ». Cette approche intégrative a permis des avancées significatives au niveau de la modélisation de la culture de l'ananas et de la définition de systèmes de culture innovants
Pineapple production is increasing on Réunion Island and represents the first fruit production, in terms of value and yield exported. The heterogeneity of climatic conditions on the island and the diversity of cultural practices, particularly with regard to nitrogen fertilization and irrigation, lead to a high variability in yield, gustatory quality of fruit and use of natural resources. The development of more sustainable cropping systems requires rethinking and optimizing the combination of agricultural practices, by taking into account the specificities of the different production areas. An ad-hoc model, SIMPIÑA was developed to describe the growth and development of pineapple plant and fruit quality (sugar and acid content) depending on climate and cultural practices (sucker weight at planting, planting density, date of flowering induction, fertilization and irrigation). This model has the particularity to integrate process-based model modules (plant growth, sugar content, water and nitrogen balance) and statistical modules (for predicting the acidity of fruit at harvest and the economic part). Cultural practices are taken into account through decision rules that may thus be assessed with the model. A typology of cultural practices was carried out based on interviews of 40 farmers all over Réunion Island and led to three farm's types with specific climatic and organizational constraints. SIMPIÑA was used to explore a wide range of combination of cultural practices, taking into account the constraints of each farm-type. We identified trends of cultural practices combinations which optimize the performances of the systems and that should be tested in the field. This integrative approach has led to significant advances in modeling pineapple production and in defining innovative cropping systems
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Paget, Mark Frederick. "Genetic evaluation models and strategies for potato variety selection." Thesis, University of Canterbury. Forestry, 2014. http://hdl.handle.net/10092/9953.

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A series of studies are presented on the genetic evaluation of cultivated potato (Solanum tuberosum L.) to improve the accuracy and efficiency of selection at various stages of a breeding programme. The central theme was the use of correlated data, such as relationship information and spatial and across-trial correlations, within a linear mixed modelling framework to enhance the evaluation of candidate genotypes and to improve the genetic response to selection. Analyses focused on several social and economically-important traits for the enhancement of the nutritional value, disease resistance and yield of potato tubers. At the formative stages of a breeding scheme, devising a breeding strategy requires an improved understanding of the genetic control of target traits for selection. To guide a strategy that aims to enhance the micronutrient content of potato tubers (biofortification), univariate and multivariate Bayesian models were developed to estimate genetic parameters for micronutrient tuber content from a breeding population generated from crosses between Andean landrace cultivars. The importance of the additive genetic components and extent of the narrow-sense heritability estimates indicated that genotypic 'individual' recurrent selection based on empirical breeding values rather than family-based selection is likely to be the most effective strategy in this breeding population. The magnitude of genetic correlations also indicated that simultaneous increases in important tuber minerals, iron and zinc, could be achieved. Optimising selection efficiency is an important ambition of plant breeding programmes. Reducing the level of candidate replication in field trials may, under certain circumstances, contribute to this aim. Empirical field data and computer simulations inferred that improved rates of genetic gain with p-rep (partially replicated) testing could be obtained compared with testing in fully replicated trials at the early selection stages, particularly when testing over two locations. P-rep testing was able to increase the intensity of selection and the distribution of candidate entries across locations to account for G×E effects was possible at an earlier stage than is currently practised. On the basis of these results, it was recommended that the full replication of trials (at the first opportunity, when enough planting material is available) at a single location in the early stages of selection should be replaced with the partial replication of selection candidates that are distributed over two locations. Genetic evaluation aims to identify genotypes with high empirical breeding values (EBVs) for selection as parents. Using mixed models, spatial parameters to target greater control of localised field heterogeneity were estimated and variance models to account for across-trial genetic heterogeneity were tested for the evaluation of soil-borne powdery scab disease and tuber yield traits at the early stages of a selection programme. When spatial effects improved model fit, spatial correlations for rows and columns were mostly small for powdery scab, and often small and negative for marketable and total tuber yield suggesting the presence of interplot competition in some years for tuber yield traits. For the evaluation of powdery scab, genetic variance structures were tested using data from 12 years of long-term potato breeding METs (multi-environment trials). A simple homogeneous correlation model for the genetic effects was preferred over a more complex factor analytic (FA) model. Similarly, for the MET evaluation of tuber yield at the early stages, there was little benefit in using more complex FA models, with simple correlation structures generally the most favourable models fitted. The use of less complex models will be more straightforward for routine implementation of potato genetic evaluations in breeding programmes. Evaluations for (marketable) tuber yield were extended to multi-location MET data to characterise both genotypes and environments, allowing a re-evaluation of New Zealand MET selection strategies aimed at broad adaptation. Using a factor analytic mixed model, results indicated that the programme’s two main trial locations in the North and the South Islands optimised differentiation between genotypes in terms of G×E effects. There was reasonable performance stability of genotypes across test locations and evidence was presented for some, but limited, genetic progress of cultivars and advanced clonal selections for tuber marketable yield in New Zealand over recent years. The models and selection strategies investigated and developed in this thesis will allow an improved and more systematic application of genetic evaluations in potato selection schemes. This will provide the basis for well informed decisions to be made on selection candidates for the genetic improvement of potato in breeding programmes.
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Bosi, Cristiam. "Parameterization and evaluation of mechanistic crop models for estimating Urochloa brizantha cv. BRS Piatã productivity under full sun and in silvopastoral system." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-15052018-142008/.

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Silvopastoral systems are a kind of agroforestry system in which trees or shrubs are combined with animals and pastures. Silvopastoral systems are important to intensify pasture production and mitigate climate change effects. However, very few studies have been performed to adapt crop models to simulate these systems. The aim of this study was to parameterize and test the mechanistic crop models APSIM and CROPGRO for estimating Urochloa brizantha cv. BRS Piatã productivity under full sun and in a silvopastoral system, to evaluate the models\' performance to simulate tree-crop interactions, and to develop tools to improve these simulations. For this purpose, four field experiments were conducted under full sun to investigate cutting management under irrigated and rainfed conditions and grazing management under rainfed conditions with high and low N supply. Another experiment was carried out in a silvopastoral system with the trees arranged in simple rows, in East-West orientation, with 15 m between rows and 2 m between plants in the rows. This experiment was conducted under grazing management and rainfed conditions with the pasture variables, microclimate and soil water content being assessed at four distances from the North row (0.00 m, 3.75 m, 7.50 m and 11.25 m). The forage mass simulations for the pasture at full sun, performed using the APSIM-Tropical Pasture model, showed good agreement between observed and estimated data (R2 between 0.82 and 0.97, d between 0.92 and 0.98, and NSE ranging from 0.72 to 0.92), while the simulations with the CROPGRO-Perennial Forage model achieved good precision (R2 between 0.65 and 0.93) and good accuracy (d from 0.86 to 0.97, and NSE from 0.60 to 0.90), for the various managements and environmental conditions. Even considering the promising performance of both models for pastures under full sun, they already needs to be tested in other locations, climate conditions, soils, and grazing or cutting intensities, to prove its accuracy and reach enough confidence. The pasture growth simulations at the silvopastoral system indicated that the APSIM-Tropical Pasture was efficient when only competition by solar radiation was considered (R2 from 0.69 to 0.88, d from 0.90 to 0.96, and NSE between 0.51 and 0.85), but inefficient when considering only competition by soil water (R2 between 0.58 and 0.85, d between 0.58 and 0.82, and NSE from -4.07 to -0.14). The CROPGRO-Perennial Forage achieved good performance on pasture growth simulation at the distances 0.00 m, 3.75 m, and 7.50 m from the trees (R2 from 0.75 to 0.90, d from 0.93 to 0.96, NSE between 0.74 and 0.85). Despite the good results, improvements should be performed in both models for simulating all factors that affect forage growth in silvopastoral systems.
Os sistemas silvipastoris são um tipo de sistema agroflorestal em que árvores ou arbustos são combinados com animais e pastagens. Os sistemas silvipastoris são importantes para a intensificação de pastagens e para a mitigação dos efeitos das mudanças climáticas. Entretanto, poucos estudos vêm sendo realizados visando à adaptação de modelos para a simulação desses sistemas. O objetivo desse estudo foi parametrizar e testar os modelos mecanísticos APSIM e CROPGRO para estimar a produtividade de Urochloa brizantha cv. BRS Piatã a pleno sol e em um sistema silvipastoril, avaliar o desempenho dos modelos para simular as interações árvore-pastagem e desenvolver ferramentas para aprimorar tais simulações. Para isso, foram conduzidos quatro experimentos de campo, a pleno sol, para avaliar diferentes manejos da pastagem: corte, em irrigado e sequeiro; e pastejo, em sequeiro e com alto ou baixo suprimento de nitrogênio. Outro experimento foi conduzido em um sistema silvipastoril com as árvores arranjadas em renques simples, com orientação Leste-Oeste, com espaçamento de 15 m entre renques e 2 m entre plantas nos renques. Esse experimento foi conduzido sob pastejo e em sequeiro, com avaliações das variáveis da pastagem, microclima e água no solo em quatro distâncias em relação ao renque Norte (0,00 m; 3,75 m; 7,50 m and 11,25 m). As estimativas de massa de forragem a pleno sol, realizadas com o modelo APSIM-Tropical Pasture, apresentaram boa concordância entre os dados observados e os estimados (R2 entre 0,82 e 0,97, d entre 0,92 e 0,98 e NSE de 0,72 a 0,92), enquanto que, as estimativas geradas pelo modelo CROPGRO-Perennial Forage alcançaram boa precisão (R2 entre 0,65 e 0,93) e boa exatidão (d entre 0,86 e 0,97 e NSE de 0,60 a 0,90), para os diferentes manejos e condições ambientais. Mesmo considerando o desempenho promissor de ambos os modelos para simular pastagens a pleno sol, para confirmar a acurácia e a eficiência destes, são necessários testes em outros locais, condições climáticas, tipos de solo e intensidades de corte ou pastejo. As simulações do crescimento da pastagem no sistema silvipastoril indicaram que o modelo APSIM-Tropical Pasture, foi eficiente quando somente a competição por radiação solar foi considerada (R2 de 0,69 a 0,88, d entre 0,90 e 0,96 e NSE de 0,51 a 0,85), mas ineficiente quando somente a competição por água no solo foi considerada (R2 entre 0,58 e 0,85, d entre 0,58 e 0,82 e NSE de -4,07 a -0,14). O modelo CROPGRO-Perennial Forage atingiu bom desempenho na simulação do crescimento da pastagem para as distâncias 0,00 m, 3,75 m e 7,50 m em relação às árvores (R2 de 0,75 a 0,90, d entre 0,93 e 0,96, NSE de 0,74 a 0,85). Apesar dos bons resultados, ambos os modelos devem ser melhorados para simular todos os fatores que afetam o crescimento de pastagens em sistemas silvipastoris.
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7

Mahmood, Faisal. "Analyse des conditions pour le développement des grains à légumineuses dans la région Midi-Pyrénées (France), en utilisant la chaîne de modélisation APES-FSSIM-indicateurs." Thesis, Montpellier, SupAgro, 2011. http://www.theses.fr/2011NSAM0043.

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Les légumineuses sont souvent considérées comme des cultures clés pour une agriculture durable. Dans ce cadre, elles sont souvent cultivées en association avec les céréales et présentent de nombreux avantages d'ordres agronomique, environnemental et socio-économique. Cependant, malgré ces nombreux avantages, leur part dans l'agriculture européenne est encore très limitée. Dans la région Midi-Pyrénées (sud-ouest de la France), la superficie occupée par les légumineuses ne représente que 1 à 3% de la superficie totale cultivée, traduisant la réticence des agriculteurs à cultiver ce type de culture. Dans ce contexte, l'objectif de la thèse étaient de: i) identifier les principales contraintes pour la production de légumineuses dans la région Midi-Pyrénées, ii) identifier les principaux leviers techniques et socio-économiques (exprimés sous forme de scénarios) afin de promouvoir les légumineuses dans les systèmes de cultures actuels et iii) évaluer, en utilisant la chaîne de modélisation APES-FSSIM-indicateurs, les impacts de ces scénarios en calculant des indicateurs socio-économiques et environnementaux au niveau de trois exploitations représentatives (FT1, FT2 et FT3) de la diversité observée au niveau de la zone d'étude.L'identification des principales contraintes a été basée sur la bibliographie et les dires d'experts locaux. Ces contraintes traduisent la sensibilité des légumineuses aux types de sols et de climat, les compétences techniques demandées pour cultiver convenablement des légumineuses, la compétitivité économique des légumineuse par rapport aux autres cultures et à l'actuel prix et rendement des légumineuses et surtout leurs variabilité inter-annuelle. Pour promouvoir les légumineuses, des scénarios alternatifs ont été définis et comparés à la situation actuelle (scénario de référence). Les scénarios alternatifs, se différencie par rapport au scénario de référence par les paramètres suivantes: l'introduction de nouvelles rotations à base de légumineuses dans les systèmes de culture actuels (Stec.innov), l'octroie d'une prime spécifique aux légumineuses (Spremium), l'augmentation du prix de vente ( Sprice) et du rendement (Syield) des légumineuses, la réduction de la variabilité du prix (Sprice.var) et du rendement (Syield.var) des légumineuses et enfin, la combinaison de tous ces paramètres dans un seul scénario (Scomb). Tous les scénarios ont été simulés et comparés en utilisant la chaîne de modèles APES-FSSIM-indicateurs. Cette chaine de modèles a permis de calculer des indicateurs environnementaux et socio-économiques.Les résultats ont montré que, contrairement aux attentes, l'introduction de nouvelles rotations et la réduction de la variabilité des rendements ou des prix (Stec.innov, Sprice.var et Syield.var) n'entrainent pas l'augmentation de la superficie des légumineuses. Toutefois, une augmentation de la superficie des légumineuses a été observée pour les scénarios Spremium, Sprice, Syield et Scomb. Le scénario combiné (Scomb) a été jugé comme le plus efficace, montrant une augmentation importante de la superficie des légumineuses, soit 34 ha, 32 ha et 7 ha respectivement pour FT2, FT3 et FT1. Ce changement a entrainé également une modification significative au niveau des valeurs des indicateurs socio-économiques et environnementaux. L'augmentation de la superficie des légumineuses et la variation des indicateurs économiques et environnementaux dépendent des caractéristiques structurelles des exploitations, de la part de la surface irriguable, des systèmes de culture présents et des types de sol au niveau de chaque exploitation.Les résultats de cette étude montrent que l'application d'une nouvelle politique pour promouvoir les légumineuses, peut conduire, selon les stratégies de production adoptées par les agriculteurs afin de maximiser leurs revenus, à plusieurs changements économiques et environnementaux. Ces stratégies se traduisent principalement par la modification des superficies allouées
Grain legumes are generally considered as key crops for sustainable agriculture. They offer many agronomic, environmental and socio-economic benefits when grown in succession with cereals. Although grain legumes have many advantages, their share in European agriculture is still very limited. In the Midi-Pyrénées region (south-west of France), their area varies from 1 to 3% of the total cultivated area, moreover farmers show little interest in growing grain legumes on their farms. In this context, the objectives of the thesis were to; i) identify the main constraints for grain legume production in the Midi-Pyrénées region, ii) identify key technical and socio-economic levers (expressed as scenarios) to promote grain legumes in current cropping systems and iii) assess, by using the APES-FSSIM-Indicators modelling chain, the impacts of these scenarios on the socio-economic and environmental behaviours of three representative arable farm types (FT1, FT2 and FT3) of the Midi-Pyrénées region.The main constraints have been identified based on bibliography and in consultation with local experts. These constraints are derived from the grain legumes sensitivity to: soils and climatic conditions, farmer technical skill and expertise for sowing and harvesting the grain legumes, economic competitiveness in comparison with cereals and their yield and market prices amounts and fluctuations. From the above statement, the alternative scenarios, in comparison to the current situation (reference scenario) have been identified to promote grain legumes. They included, the introduction of new grain legumes rotations in current cropping systems of the region (Stec.innov), provision of more premiums to grain legumes (Spremium), increase in sale price (Sprice) and yield (Syield) of grain legumes, reduction in price (Sprice.var) and yield (Syield.var) variability of grain legumes, and combination of all these components (Scomb). All scenarios have been assessed with quantitative environmental and socio-economic indicators and are calculated with the APES-FSSIM-Indicators modeling chain.Results show that, contrary to expectation, the introduction of new legumes rotations or the reduction of yield or price variability (Stec.innov, Sprice.var and Syield.var) did not increase the grain legumes area. However, an increase in grain legumes area was observed for Spremium, Sprice, Syield and Scomb. The combined scenario (Scomb) was found to be most efficient, showing an important increase in grain legumes area by 34 ha, 32 ha and 7 ha respectively for FT2, FT3 and FT1 with a significant change in socio-economic and environmental indicators for all three farm types. The increase in grain legumes area and modification in economic and environmental indicators depend on the farm characteristics and can be explained by the differences in irrigable area between irrigated crops (i.e. maize, peas and soybean), cropping pattern, soil types and climatic conditions (rainfed and irrigation) on the three farms types.The results obtained from this study show that the modification of policies or the inclusion of new technologies, may lead to several economic and environmental changes, which reveal the adaptation strategies adopted by farmers in order to optimize their farm income. These strategies are mainly implemented by modifying the areas allocated to different crops on different soil types and by changes of management practices. The grain legumes area can be increased on Midi-Pyrénées farming system by the combination of slightly increase in premium, sale price and crop yield of the grain legumes. This methodology can easily be adapted to other regions of France and also EU for identifying the main developmental conditions for grain legumes production provided the skilled experts are properly selected and sufficient data are available for parameterization of the modeling chain
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Meyer, Nicolas. "Evaluation de l'impact des cultures intermédiaires multi-services sur le bilan hydrique des sols : approche par expérimentation et simulation. Application au bassin Adour-Garonne." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0017.

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Les cultures intermédiaires multi-services (CIMS) sont un des piliers de l’agroécologie et elles peuvent être introduites dans les systèmes de culture actuels sans les modifier fortement. Cependant, dans un contexte de changement climatique avec une modification des régimes pluviométriques, l’impact des CIMS sur la dynamique et le bilan hydrique pourrait être négatif. Le bassin Adour-Garonne (BAG), connaît des problèmes de gestion de la quantité et de la qualité (nitrates, pesticides) de ses masses d’eau. Quantifier l’impact des CIMS en fonction de leur gestion sur la dynamique et le bilan hydrique des sols agricoles du territoire du BAG représente donc un enjeu social et scientifique crucial. Mon objectif est d’évaluer l’impact des CIMS sur le bilan hydrique et les flux d’eau à l’échelle de la parcelle, en fonction de leur mode de gestion, et à l’échelle du territoire, pour évaluer les conséquences possibles sur la recharge des nappes en cas de réduction de drainage. J’ai mis en place une démarche scientifique couplant 3 types de méthodes : méta-analyse de la littérature scientifique, expérimentations et mesures de terrains et simulations avec le modèle de culture STICS à l’échelle de la parcelle, puis par extrapolation à l’échelle du territoire du BAG. J’ai analysé l’impact des CIMS sur l’évapotranspiration, le drainage, la lixiviation des nitrates et les stocks d’eau et d’azote en fonction de divers facteurs : pédoclimat, espèce de CIMS (et mélange d’espèces), date de semis et de destruction et gestion des résidus (enfouissement par travail du sol ou laissés en mulch). Les résultats indiquent que les CIMS diminuent le drainage par une augmentation de l’évapotranspiration réelle en situation avec couvert végétal, en comparaison à un sol nu. Toutefois, si les CIMS sont bien gérées, avec une adaptation des espèces composant le couvert végétal, des dates de semis et de destruction, elles n’induisent pas de stress hydrique et azoté entrainant des baisses de rendements des cultures principales suivantes. La généralisation des CIMS sur l’ensemble du BAG, sans adaptation locale de leur gestion et avec des destructions tardives (cas de l’agriculture de conservation), pourrait cependant modifier le grand cycle de l’eau en augmentant l’évapotranspiration et diminuant le drainage, qui est le processus déterminant de la recharge des nappes. Ces modifications pourraient accentuer le déficit entre les besoins en eau grandissant et les ressources toujours plus restreintes dans un contexte de changement climatique
Cover crops are one of the pillars of agroecology and can be introduced into current cropping systems without major changes. However, in a context of climate change with changing rainfall patterns, the impact of cover crops on water dynamics and balance could be negative. The Adour- Garonne basin (BAG) has problems managing the quantity and quality (nitrates, pesticides) of its water bodies. Quantifying the impact of cover crops according to their management on the soil water dynamics and balance in the BAG is therefore a crucial social and scientific issue. My objective is to evaluate the impact of cover crops on water balance and water flows at the field scale, depending on their management, and at the territorial scale, to assess the possible consequences on groundwater recharge in the event of reduced drainage. I have implemented a scientific approach combining three types of methods: meta-analysis of the scientific literature, experiments and field measurements and simulations with the STICS crops model at the plot scale, then by extrapolation to the BAG scale. I analysed the impact of cover crops on evapotranspiration, drainage, nitrate leaching, water and nitrogen content according to various factors: soil and climate, cover crops species (mixture), sowing and termination date, and residue management (returned by plough or left in mulch at the soil surface). The results indicate that cover crops reduce drainage by increasing actual evapotranspiration in a vegetative cover situation compared to a bare soil. However, if cover crops are well managed, with adaptation of the species making up the plant cover, planting and destruction dates, they do not induce water and nitrogen stress leading to lower yields of the following main crops. The generalization of cover crops throughout the BAG, without local adaptation of their management and with late termination (case of conservation agriculture), could however modify the major water cycle by increasing evapotranspiration and decreasing drainage, which is the determining process for groundwater recharge. These changes could increase the gap between growing water needs and evertightening resources in the context of climate change
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Perrin, Aurélie. "Evaluation environnementale des systèmes agricoles urbains en Afrique de l'Ouest : Implications de la diversité des pratiques et de la variabilité des émissions d'azote dans l'Analyse du Cycle de Vie de la tomate au Bénin." Thesis, Paris, AgroParisTech, 2013. http://www.theses.fr/2013AGPT0080/document.

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L’agriculture urbaine représente une opportunité de réduire la pauvreté et d’améliorer la sécurité alimentaire des habitants des villes d’Afrique de l’Ouest. L’objectif général de cette thèse est de produire des données d’inventaire représentatives ainsi qu’une évaluation environnementale robuste de ces systèmes de production par la méthodologie Analyse du Cycle de Vie (ACV). Notre cas d’étude a été la tomate des jardins urbains au Bénin. Notre état de l’art nous a permis d’identifier que prendre en compte la diversité des systèmes de production et la variabilité des émissions au champ étaient deux enjeux majeurs de l’ACV des produits maraîchers. Nous avons donc développé un protocole de collecte de données basé sur la typologie qui prend en compte la diversité des systèmes puis mis au point une méthode d’estimation des flux d’azote au champ combinant un bilan d’azote et l’usage d’un modèle biophysique. Nous avons ainsi créé des inventaires pour 6 types de systèmes et une moyenne pondérée représentative de la population étudiée. L’analyse des performances agronomiques de ces systèmes a montré une forte variabilité des rendements et une utilisation fluctuante et souvent excessive d’engrais et de pesticides. L’exploration de la variabilité des flux d’azote à l’échelle de la parcelle et du cycle de culture a permis l’identification de 4 facteurs majeurs: les volumes d’eau d’irrigation, la dose d’azote, le pH du sol et la capacité au champ. A l’aide de scénarios favorables et défavorables aux émissions pour chacun de ces 4 facteurs, nous avons montré que leurs effets sur les résultats d’ACV étaient importants. L’intégration de ces données dans une ACV finalisée a montré qu’un hectare de production de tomate au Bénin était plus impactant que les productions maraichères Européennes. Les avantages du climat favorable du sud Bénin à la production de tomate en contre saison sont annulés par les faibles performances des systèmes d’irrigation, l’usage fréquent d’insecticides et d’importantes émissions azotées. Des données mesurées et des connaissances nouvelles sont nécessaires sur ces systèmes pour valider et affiner nos conclusions
Urban agriculture provides opportunities to reduce poverty and ensure food safety for cities inhabitants in West Africa. The general objective of this thesis is producing representative inventories and a robust environmental assessment for those production systems using the Life Cycle Assessment (LCA) methodology. Our case study was the tomato production in urban gardens in Benin. Our state of the art identified the integration of the diversity of systems and the variability of field emissions as two major challenges for the LCA of vegetable products. We therefore developed a typology-based protocol to collect cropping systems data that includes their diversity and an approach combining a nitrogen budget and the use of a biophysical model to estimate nitrogen field emissions. We created inventories for 6 cropping system types and one weighted mean representative for the urban tomato growers in Benin. The analysis of the agronomical performances of these systems highlighted the important yield variability and the variable and often excessive use of pesticides and fertilizers. The investigation of nitrogen fluxes variability at plot and crop cycle scales led to the identification of 4 major influencing factors: water use, nitrogen input, soil pH and field capacity. Using favorable and unfavorable scenarios for nitrogen emissions for each of these 4 factors, we demonstrated that the LCA results were sensitive to their variations. The implementation of LCA using those contrasted data showed that one hectare of tomato production in Benin was more impacting than European vegetable productions. The benefits from the favorable climate for producing out-of-season tomatoes were hampered by the low efficiency of irrigations systems, the frequent use of insecticides and large nitrogen emissions. Measured data and new knowledge on these systems are needed to validate and refine our conclusions
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Perkins, Seth A. "Crop model review and sweet sorghum crop model parameter development." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14037.

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Master of Science
Department of Biological and Agricultural Engineering
Kyle Douglas-Mankin
Opportunities for alternative biofuel feedstocks are widespread for a number of reasons: increased environmental and economic concerns over corn production and processing, limitations in the use of corn-based ethanol to 57 billion L (15 billion gal) by the Energy Independence and Security Act (US Congress, 2007), and target requirements of 136 billion L (36 billion gal) of renewable fuel production by 2022. The objective of this study was to select the most promising among currently available crop models that have the potential to model sweet sorghum biomass production in the central US, specifically Kansas, Oklahoma, and Texas, and to develop and test sweet sorghum crop parameters for this model. Five crop models were selected (CropSyst, CERE-Sorghum, APSIM, ALMANAC, and SORKAM), and the models were compared based on ease of use, model support, and availability of inputs and outputs from sweet sorghum biomass data and literature. After reviewing the five models, ALMANAC was selected as the best suited for the development and testing of sweet sorghum crop parameters. The results of the model comparison show that more data are needed about sweet sorghum physiological development stages and specific growth/development factors before the other models reviewed in this study can be readily used for sweet sorghum crop modeling. This study used a unique method to calibrate the sweet sorghum crop parameter development site. Ten years of crop performance data (Corn and Grain Sorghum) for Kansas Counties (Riley and Ellis) were used to select an optimum soil water (SW) estimation method (Saxton and Rawls, Ritchie et al., and a method that added 0.01 m m [superscript]-1 to the minimum SW value given in the SSURGO soil database) and evapotranspiration (ET) method (Penman-Montieth, Priestley-Taylor, and Hargraeves and Samani) combination for use in the sweet sorghum parameter development. ALMANAC general parameters for corn and grain sorghum were used for the calibration/selection of the SW/ET combination. Variations in the harvest indexes were used to simulate variations in geo-climate region grain yield. A step through comparison method was utilized to select the appropriate SW/ET combination. Once the SW/ET combination was selected the combination was used to develop the sweet sorghum crop parameters. Two main conclusions can be drawn from the sweet sorghum crop parameter development study. First, the combination of Saxton and Rawls (2006) and Priestley-Taylor (1972) (SR-PT) methods has the potential for wide applicability in the US Central Plains for simulating grain yields using ALMANAC. Secondly, from the development of the sweet sorghum crop model parameters, ALMANAC modeled biomass yields with reasonable accuracy; differences from observed biomass values ranged from 0.89 to 1.76 Mg ha [superscript]-1 (2.8 to 9.8%) in Kansas (Riley County), Oklahoma (Texas County), and Texas (Hale County). Future research for sweet sorghum physiology, Radiation Use Efficiency/Vapor Pressure Deficit relationships, and weather data integration would be useful in improving sweet sorghum biomass modeling.
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Books on the topic "Evaluation of crop model"

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Tague, Christina Lee. Evaluation and potential applications of a combined crop productivity and hydrologic model of the Loess Plateau region in China. Ottawa: National Library of Canada, 1993.

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Pongput, Kobkiat. Scheduling model for crop-based irrigation operations. Lahore: Pakistan National Program, International Irrigation Management Institute, 1998.

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Ali, Mohammed Eusuf. Impact evaluation of Northwest Crop Diversification Project. [Dhaka: Implementation Monitoring and Evaluation Division, Ministry of Planning, Govt. of Bangladesh], 2010.

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RFA. An ergonomic evaluation of agricultural crop sprayers. London: HMSO, 1993.

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North Eastern Hill University. Department of Geography, ed. CSSM, crop-ecological sustainability simulation model: A spatio-temporal crop-yield analysis tool. Shillong: Dept. of Geography, North-Eastern Hill University, 2005.

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Lafleur, Clay. Program review model. [Barrie, ON]: Simcoe County Board of Education, 1990.

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McMasters, Alan W. Wholesale provisioning models: Model evaluation. Monterey, California: Naval Postgraduate School, 1986.

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Saleem, Mahmood Ali. Evaluation of Crop Intensification Programme in Sahiwal District. Lahore, Pakistan: Punjab Economic Research Institute, Lahore, 1985.

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Marai, R. 1996/97 deyr crop production evaluation: Final report. Nairobi: Food Security Assessment Unit for Somalia, 1997.

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Rambukwella, R. N. K. Evaluation of crop insurance scheme in Sri Lanka. Colombo: Hector Kobbekaduwa Agrarian Research and Training Institute, 2007.

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Book chapters on the topic "Evaluation of crop model"

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Li, Ling-Zhi, P. H. B. de Visser, Ya-Ling Li, and Hai-Ping Li. "Dry Matter Production and Partitioning in Tomato: Evaluation of a General Crop Growth Model." In Crop Modeling and Decision Support, 219–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01132-0_23.

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Fraisse, C. W., K. A. Sudduth, and N. R. Kitchen. "Evaluation of Crop Models to Simulate Site-Specific Crop Development and Yield." In Proceedings of the Fourth International Conference on Precision Agriculture, 1297–308. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/1999.precisionagproc4.c33b.

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Buis, S., D. Wallach, S. Guillaume, H. Varella, P. Lecharpentier, M. Launay, M. Guérif, J. E. Bergez, and E. Justes. "The STICS Crop Model and Associated Software for Analysis, Parameterization, and Evaluation." In Methods of Introducing System Models into Agricultural Research, 395–426. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel2.c14.

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Adams, Richard M., and Thomas D. Crocker. "Model Requirements for Economic Evaluations of Pollution Impacts Upon Agriculture." In Assessment of Crop Loss From Air Pollutants, 463–71. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1367-7_20.

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Beinroth, F. H., J. W. Jones, E. B. Knapp, P. Papajorgji, and J. Luyten. "Evaluation of land resources using crop models and a GIS." In Understanding Options for Agricultural Production, 293–311. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-3624-4_14.

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Kremer, Cristián, Claudio O. Stöckle, Armen R. Kemanian, and Terry Howell. "A Canopy Transpiration and Photosynthesis Model for Evaluating Simple Crop Productivity Models." In Response of Crops to Limited Water, 165–89. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel1.c6.

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Mayus, M., H. Van Keulen, and L. Stroosnijder. "A model of tree-crop competition for windbreak systems in the Sahel: description and evaluation." In Agroforestry for Sustainable Land-Use Fundamental Research and Modelling with Emphasis on Temperate and Mediterranean Applications, 183–201. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-0679-7_12.

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Waibel, Hermann. "Alternative Crop Protection Strategies in Irrigated Rice Cultivation: Comparison and Evaluation by Means of a Computer Model." In The Economics of Integrated Pest Control in Irrigated Rice, 86–178. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71319-4_5.

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Ferro, Vito, Paolo Porto, Giovanni Callegari, Francesco Iovino, Vittoria Mendicino, and Antonella Veltri. "Evaluating the Effectiveness of Forest Crop to Mitigate Erosion Using a Sediment Delivery Distributed Model." In Environmental Forest Science, 439–54. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5324-9_48.

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Poddar, Arunava, Navsal Kumar, and Vijay Shankar. "Performance Evaluation of Four Models for Estimating the Capillary Rise in Wheat Crop Root Zone Considering Shallow Water Table." In Water Science and Technology Library, 423–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59148-9_29.

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Conference papers on the topic "Evaluation of crop model"

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Tan, Jieyang, Zhengguo Li, Peng Yang, Qiangyi Yu, Li Zhang, Wenbin Wu, Pengqin Tang, Zhenhuan Liu, and Liangzhi You. "Spatial evaluation of crop maps by spatial production allocation model in China." In 2014 Third International Conference on Agro-Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/agro-geoinformatics.2014.6910588.

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Xiu Lina, Liu Xiangnan, and Huang Lingxiang. "Evaluation model of crop contamination stress level based on dynamic fuzzy neural network." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5619425.

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Egbuikwem, Precious N., and Gregory C. Obiechefu. "Evaluation of Evapotranspiration Models for Waterleaf crop using Data from Lysimeter." In 2017 Spokane, Washington July 16 - July 19, 2017. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2017. http://dx.doi.org/10.13031/aim.201700025.

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Huang, Weijiao, and Jingfeng Huang. "Ecological suitability evaluation for torreya crop in Hangzhou city based on a GIS-based fuzzy model." In 2014 Third International Conference on Agro-Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/agro-geoinformatics.2014.6910586.

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Gobbo, S., F. Morari, R. Ferrise, M. De Antoni Migliorati, L. Furlan, and L. Sartori. "4. Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat." In 13th European Conference on Precision Agriculture. The Netherlands: Wageningen Academic Publishers, 2021. http://dx.doi.org/10.3920/978-90-8686-916-9_4.

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Podciborski, Tomasz. "A Method for Evaluating and Principles for Developing a Map of the Productive Potential of Agricultural Land." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.226.

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Crop production is a highly complex process. It requires comprehensive knowledge about natural phenomena and agronomic treatments that provide plans with optimal conditions for growth and development. Crop yield is influenced by a variety of environmental factors, including availability of water, temperature and light. The main anthropogenic element in crop production is the shape of the plot which is determined by the land division plan. Farmers also have to undertake the relevant measures to ensure the appropriate soil pH, soil structure, nutrient content and microbial activity. The main objective of this study was to develop a method and principles for evaluating the productive potential of agricultural land, and to compile a map presenting the productive potential of agricultural land. The main aim was achieved through detailed goals. Model evaluation indicators and criteria, the sources of information used in the evaluation process as well as the stages of and principles for developing a map of the productive potential of agricultural land were described. The results of an evaluation performed on a selected research site were presented in graphical form in the Conclusions section.
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Zvaigzne, Anete, Andra Blumberga, and Saulius Vasarevičius. "APPLICATION OF SYSTEM DYNAMICS MODEL ON AGRICULTURAL LANDSCAPE." In Conference for Junior Researchers „Science – Future of Lithuania“. VGTU Technika, 2016. http://dx.doi.org/10.3846/aainz.2016.33.

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Agricultural land comprises an important share of the total terrestrial land. Therefore it plays a crucial role in the health of the so-called foundation of all types of ecosystem services – biodiversity. This research aims at providing a tool for evaluating the state of biodiversity in an agricultural landscape by using different agri-environmental indicators. A system dynamics model is built that encloses agricultural land use parameters, agricultural land use intensity, landscape fragmentation patterns, crop diversity and other aspects that have an important effect on biodiversity in agricultural landscapes. This research is an attempt to use information available for public to assess the degree to which agricultural landscape may benefit from landscape greening activities, changes in crop management activities etc. At the end of this research landscape biodiversity of an intensive farming region in Latvia (Bauska district) will be evaluated.
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Shukla, S. K. "Evaluation of Convective Heat and Mass Transfer in Open Sun and Green House Drying." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56162.

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In this communication, a study on open sun and green house drying has been performed to evaluate the convective heat and mass transfer coefficients as a function of climatic parameters. The hourly data for the rate of moisture removal, crop temperature, relative humidity inside greenhouse and outside greenhouse and ambient air temperature for complete drying have been recorded. The experiments were done in the premises of Allahabad Agricultural Institute-Deemed University, after the crop-harvesting season from February 2006 to April 2006. Using these data, the value of convective heat and mass transfer in open sun drying (OSD) and green house sun drying (GHD) under natural and forced convection mode, have been calculated. Also the empirical relations of convective heat and mass transfer with drying time under natural and forced modes have been developed. On the basis of the present study, it is inferred that the value of convective heat and mass transfer is more in open sun drying than in the green house drying under natural convection mode. However its value increases in forced mode of greenhouse drying as compared to natural mode in the initial stage of drying.
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"Evaluating crop management and drainage practices for two monitored sites using gridded distributive hydrological model." In 2016 10th International Drainage Symposium. American Society of Agricultural and Biological Engineers, 2016. http://dx.doi.org/10.13031/ids.20162493576.

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Jonathan P Resop, David H Fleisher, Qingguo Wang, Dennis Timlin, and V R Reddy. "Evaluating County-level Potential Production Capacity of Potatoes for Maine using the Crop Model SPUDSIM." In 2011 Louisville, Kentucky, August 7 - August 10, 2011. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2011. http://dx.doi.org/10.13031/2013.37346.

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Reports on the topic "Evaluation of crop model"

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Gaver, Donald P., Patricia A. Jacobs, Steven E. Pilnick, and F. R. Richards. CROPDUSTER: A Model for Evaluating the Common Relevant Operational Picture (CROP)"". Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada405580.

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Jiang, Weiqin, and Zongjian Zhu. Exploitation of Nontraditional Crop, Yacon, in Breast Cancer Prevention Using Preclinical Rat Model. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada541863.

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Mockler, Todd C. Modulation of phytochrome signaling networks for improved biomass accumulation using a bioenergy crop model. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1331003.

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Lu, Ning, and Hong Qiao. Composite Load Model Evaluation. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/926124.

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Barchet, W. R., R. L. Dennis, S. K. Seilkop, C. M. Banic, D. Davies, R. M. Hoff, A. M. Macdonald, et al. The EMEFS model evaluation. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/6004604.

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Martin, Paul J. Model Performance and Evaluation. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629080.

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Chescheir, George M., Jami E. Nettles, Mohamed Youssef, Francois Birgand, Devendra M. Amatya, Darren A. Miller, Eric Sucre, et al. Optimization of Southeastern Forest Biomass Crop Production: A Watershed Scale Evaluation of the Sustainability and Productivity of Dedicated Energy Crop and Woody Biomass Operations. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1437923.

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Delate, Kathleen, Cynthia A. Cambardella, Heather Friedrich, Andrea McKern, and L. James Secor. Evaluation of Tillage and Crop Rotation Effects in Certified Organic Production--McNay Trial, 2003. Ames: Iowa State University, Digital Repository, 2004. http://dx.doi.org/10.31274/farmprogressreports-180814-845.

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Delate, Kathleen, Cynthia A. Cambardella, Heather Friedrich, and L. James Secor. Evaluation of Tillage and Crop-Rotation Effects in Certified Organic Production--McNay Trial, 2002. Ames: Iowa State University, Digital Repository, 2003. http://dx.doi.org/10.31274/farmprogressreports-180814-885.

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Haidvogel, Dale B., and Kate Hedstrom. Ocean Model Evaluation Web Site. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada629851.

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