Relevant bibliographies by topics / Agronomic modelling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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  5. Conference papers

Academic literature on the topic 'Agronomic modelling'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Agronomic modelling"

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Tims, W., and D. C. Faber. "Modelling food policies and food production." Netherlands Journal of Agricultural Science 34, no. 3 (1986): 283–94. http://dx.doi.org/10.18174/njas.v34i3.16782.

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The Centre for World Food Studies in Amsterdam is developing economic policy models focussing on food and agriculture, and incorporating detailed agronomic information. The structure of these national models is such that they can be linked in order to analyse international trade. The developing country models emphasize and analyse the problem of hunger and poverty through the role of agronomic and livestock constraints, the changes in the distribution of income between agriculture and non-agriculture as well as within agriculture. Model alternatives can be analysed through changes in various p
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KEURENTJES, JOOST J. B., JAAP MOLENAAR, and BAS J. ZWAAN. "Predictive modelling of complex agronomic and biological systems." Plant, Cell & Environment 36, no. 9 (2013): 1700–1710. http://dx.doi.org/10.1111/pce.12156.

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Rokia, S., G. Séré, C. Schwartz, et al. "Modelling agronomic properties of Technosols constructed with urban wastes." Waste Management 34, no. 11 (2014): 2155–62. http://dx.doi.org/10.1016/j.wasman.2013.12.016.

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Akinremi, O. O., and S. M. McGinn. "Usage of soil moisture models in agronomic research." Canadian Journal of Soil Science 76, no. 3 (1996): 285–95. http://dx.doi.org/10.4141/cjss96-035.

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Soil moisture controls many important processes in the soil-plant system and the extent of these processes cannot be quantified without knowing moisture status of the root zone. Of agronomic importance these include, seedling emergence, evapotranspiration, mineralization of the soil organic fraction, surface runoff, leaching and crop yield. Many models have been developed to simulate these processes based on algorithms of varying degrees of complexity that describe the dynamic nature of soil moisture at different temporal and spatial scales. This paper reviews the direct applications of soil m
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Vitale, Paolo, Giovanni Laidò, Gabriella Dono, et al. "Univariate and multivariate genomic prediction for agronomic traits in durum wheat under two field conditions." PLOS ONE 19, no. 11 (2024): e0310886. http://dx.doi.org/10.1371/journal.pone.0310886.

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Genomic prediction (GP) has been evaluated in durum wheat breeding programs for several years, but prediction accuracy (PA) remains insufficient for some traits. Recently, multivariate (MV) analysis has gained much attention due to its potential to significantly improve PA. In this study, PA was evaluated for several agronomic traits using a univariate (UV) model in durum wheat, subsequently, different multivariate genomic prediction models were performed to attempt to increase PA. The panel was phenotyped for 10 agronomic traits over two consecutive crop seasons and under two different field
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White, T. A., and V. O. Snow. "A modelling analysis to identify plant traits for enhanced water-use efficiency of pasture." Crop and Pasture Science 63, no. 1 (2012): 63. http://dx.doi.org/10.1071/cp11250.

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As pressure on water resources increases, pasture species that express traits for improved water-use efficiency (WUE) while maintaining desirable agronomic and production characteristics are needed. The objective of this study was to use a biophysical modelling analysis to test the sensitivity of key pasture plant functional traits on WUE. Biomass production and water use of monocultures of perennial ryegrass (Lolium perenne L.) with varying plant traits were determined under a range of soil, climate, and irrigation conditions. Five plant traits (temperature sensitivity, light extinction, root
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Janssen, Esmée M., Monique C. M. Mourits, Alfons G. J. M. Oude Lansink, and H. J. van der Fels-Klerx. "Incentives to Stimulate European Wheat Farmers to Adapt Their Fusarium Species Mycotoxin Management." Toxins 13, no. 2 (2021): 144. http://dx.doi.org/10.3390/toxins13020144.

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Fusarium species infection in wheat can lead to Fusarium Head Blight (FHB) and contamination with mycotoxins. To fully exploit more recent insights into FHB and mycotoxin management, farmers might need to adapt their agronomic management, which can be stimulated through incentives. This study aimed to identify incentives to stimulate European farmers to adapt their agronomic management to reduce FHB and related mycotoxins in wheat. A questionnaire was distributed among 224 wheat farmers from Italy, the Netherlands, Serbia, and the United Kingdom. Using the respondents’ data, Bayesian Network m
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Sipols, Ana E., Rubén Valcarce-Diñeiro, Maria Teresa Santos-Martín, Nilda Sánchez, and Clara Simón de Blas. "Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques." Remote Sensing 14, no. 3 (2022): 614. http://dx.doi.org/10.3390/rs14030614.

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This paper aims to both fit and predict crop biophysical variables with a SAR image series by performing a factorial experiment and estimating time series models using a combination of forecasts. Two plots of barley grown under rainfed conditions in Spain were monitored during the growing cycle of 2015 (February to June). The dataset included nine field estimations of agronomic parameters, 20 RADARSAT-2 images, and daily weather records. Ten polarimetric observables were retrieved and integrated to derive the six agronomic and monitoring variables, including the height, biomass, fraction of ve
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Zaffaroni, Marta, Loup Rimbaud, Ludovic Mailleret, Nik J. Cunniffe, and Daniele Bevacqua. "Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies." PLOS Computational Biology 17, no. 12 (2021): e1009727. http://dx.doi.org/10.1371/journal.pcbi.1009727.

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Aphids are the primary vector of plant viruses. Transient aphids, which probe several plants per day, are considered to be the principal vectors of non-persistently transmitted (NPT) viruses. However, resident aphids, which can complete their life cycle on a single host and are affected by agronomic practices, can transmit NPT viruses as well. Moreover, they can interfere both directly and indirectly with transient aphids, eventually shaping plant disease dynamics. By means of an epidemiological model, originally accounting for ecological principles and agronomic practices, we explore the cons
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Jeuffroy, M. H., B. Ney, and A. Ourry. "Integrated physiological and agronomic modelling of N capture and use within the plant." Journal of Experimental Botany 53, no. 370 (2002): 809–23. http://dx.doi.org/10.1093/jexbot/53.370.809.

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Dissertations / Theses on the topic "Agronomic modelling"

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GABBRIELLI, MARA. "MEASURING AND MODELLING COVER CROP GROWTH AND AGRONOMIC EFFECTS." Doctoral thesis, Università degli Studi di Milano, 2022. https://hdl.handle.net/2434/949531.

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Cover crops are cultivated during the bare soil period between the harvest of a cash crop and the sowing of the next one. Their cultivation puts into effect the permanent soil organic cover principle of conservation agriculture and exerts several agro-ecological services, among which the most relevant are nitrate leaching reduction, weed growth control, soil organic matter increase, soil structure and water infiltration improvement. In temperate climates when crop rotations include summer cash crops (such as maize or soybean), autumn-winter cover crops are sown between late July and October an
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Morgado, Goncalves Marques dos Santos Maria Joao. "Factors affecting tillering in rice (Oryza sativa L.) : agronomic, physiological and modelling aspects and their influence on yield." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389652.

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Minoli, Sara. "Managing phenology for agronomic adaptation of global cropping systems to climate change." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21965.

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Der Klimawandel fordert die Anbausysteme heraus, um das derzeitige Produktionsniveau zu verbessern oder sogar aufrechtzuerhalten. Es wird erwartet, dass zukünftige Trends bei Temperatur und Niederschlag die Ernteproduktivität beeinträchtigen. Es ist daher notwendig, möglicher Lösungen zur Anpassung der Anbausysteme an den Klimawandel zu untersuchen. Ziel dieser Arbeit ist es, das Wissen über die Anpassung von weltweit relevanten Getreidepflanzen an den Klimawandel zu erweitern. Die zentrale Fragestellung ist, ob globale Anbausysteme an den Klimawandel angepasst werden können, indem die Phänol
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Adesina, Oluwakemi Bolaji. "Biochemical modelling of fruit ripening." Thesis, University of Lincoln, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306376.

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Yeh, Der-Ming. "Manipulation and predictive modelling of flowering in cineraria." Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309594.

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Aldakheel, Yousef Yacoub. "Remote sensing of crop water stress : measurements and modelling." Thesis, University of Salford, 1998. http://usir.salford.ac.uk/43021/.

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Parenti, Andrea <1988&gt. "Modelling new sustainable cropping systems for advanced biofuel production." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9298/1/PhD%20Thesis%20Andrea%20Parenti.pdf.

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Through the re-use of empirical functions and new model development, this study aims at contributing to the development of advanced biofuels in Europe. Four lignocellulosic crops were selected and tested in stand-alone (sunn hemp – Crotalaria juncea L.) and rotation system (sunn hemp, biomass sorghum - Sorghum bicolor x Sorghum sudangrass, kenaf - Hibiscus cannabinus L. and industrial hemp - Cannabis sativa L.) in different European environments. The first Chapter deals with a new model development (SunnGro) to reproduce sunn hemp, an interesting summer crop for advanced biofuels in Europe; in
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Kocabas, Zahide. "Sensitivity of crop models to climate variations and modelling techniques." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358287.

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Smith, Graham P. "Study of empirical modelling techniques for describing wheat quality in England." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285455.

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Tsegaye, Tezera. "Modelling the effect of variable soil impedance on pea root growth." Thesis, University of Aberdeen, 1992. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU045142.

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Experiments were conducted: (i) to investigate varietal differences in pea (Pisum sativum L.) root response to mechanical impedance, (ii) to study the effect of mechanical impedance on root growth and morphology and (iii) to predict root growth in soils whose mechanical impedance varied temporally and spatially by adapting the Diggle (1988), ROOTMAP, model. Pea varieties whose root growth rates did not differ under unimpeded conditions had their root growth rates reduced by significantly different proportions in response to mechanical impedance. Highly significant correlations between first or
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Books on the topic "Agronomic modelling"

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Christian, Kersebaum Kurt, ed. Modelling water and nutrient dynamics in soil-crop systems: Proceedings of the workshop on "Modelling water and nutrient dynamics in soil-crop systems" held on 14-16 June 2004 in Müncheberg, Germany. Springer Verlag, 2007.

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Wei, Fang, ed. Climate under cover. 2nd ed. Kluwer Academic Publishers, 2002.

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Kersebaum, K. Ch, Martin Wegehenkel, Jens-Martin Hecker, and W. Mirschel. Modelling Water and Nutrient Dynamics in Soil-Crop Systems: Applications of Different Models to Common Data Sets - Proceedings of a Workshop Held 2004 in Müncheberg, Germany. Springer London, Limited, 2007.

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Takakura, Tadashi. Climate Under Cover: Digital Dynamic Simulation in Plant Bio-Engineering. Springer, 1993.

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Climate under Cover. Island Press, 1993.

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Climate under cover: Digital dynamic simulation in plant bio-engineering. Kluwer Academic Publishers, 1993.

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Takakura, Tadashi, and Wei Wei Fang. Climate under Cover. Springer London, Limited, 2013.

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Takakura, Tadashi. Climate under Cover: Digital Dynamic Simulation in Plant Bio-Engineering. Springer, 2012.

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Takakura, Tadashi, and Wei Fang. Climate Under Cover. 2nd ed. Springer, 2002.

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Book chapters on the topic "Agronomic modelling"

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Kersebaum, Kurt Christian. "Modelling to Evaluate Climate Resilience of Crop Rotations Under Climate Change." In Springer Climate. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_11.

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AbstractDiversification of crop rotations is considered as an option to increase the resilience of European crop production under climate change. Although crop rotation design and management has been identified as an important measure to adapt to and mitigate climate change, most studies on climate change impact or adaptation so far use single-year simulations and/or single crop assessments. Crop response to various management options within a growing season is generally taken into account by most crop models. However, if simulations neglect processes and fluxes between growing seasons and pot
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Gunzenhauser, Robert. "Granular Agronomy Nitrogen Management." In Precision Agriculture: Modelling. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15258-0_10.

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Fischer, R. A. "The Role of Crop Simulation Models in Wheat Agronomy." In Wheat Growth and Modelling. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-3665-3_23.

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De Reffye, Philippe, Marc Jaeger, and Mengzhen Kang. "Applications of Plant Architecture Modelling." In Plant Model Greenlab for Botany and Agronomy. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7541-5_12.

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Yang, Jing, Chun Ouyang, Güvenç Dik, Paul Corry, and Arthur H. M. ter Hofstede. "Crop Harvest Forecast via Agronomy-Informed Process Modelling and Predictive Monitoring." In Advanced Information Systems Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07472-1_12.

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Messina, Carlos D., and Mark Cooper. "Incorporating genetics into crop models to identify new phenotypes adapted to climate change." In Modelling climate change impacts on agricultural systems. Burleigh Dodds Science Publishing, 2023. http://dx.doi.org/10.19103/as.2022.0115.04.

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This chapter proposes a framework to develop new genotype (G) x management (M) technologies (G x M) to adapt to climate change, and to transition from current to future G x M technologies in a way that future food security does not come at the expense of current food security. The framework integrate genomic, agronomic, and environmental (E) predictors to accomplish two critical goals: 1-predict emergent phenotypes that stems from the dynamic interplay between G, E and M, and thus enable the breeder to consider the behavior of new genetic and trait combinations in environments that plants have
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Eyshi Rezaei, Ehsan, and Sevim Seda Yamaç. "Modelling the impact of climate change on agriculture in North Africa and Southwest Asia." In Modelling climate change impacts on agricultural systems. Burleigh Dodds Science Publishing, 2023. http://dx.doi.org/10.19103/as.2022.0115.20.

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The impacts of climate change on food production in North Africa and Southwest Asia are severe, with rising temperatures and prolonged dry spells adversely affecting crop productivity and quality. Crop models are utilized to evaluate the impact of climate change and the potential of adaptation strategies to stabilize/enhance crop yields. The majority of studies in North Africa have focused on Algeria, Egypt, Morocco, and Tunisia. In Southwest Asia, Iran, Pakistan, and Turkey have been the focus of most studies. Limitations in impact assessment studies in these regions include a lack of data, c
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Amaducci, Stefano, Eleonora Potenza, and Michele Colauzzi. "Developments in agrivoltaics: achieving synergies by combining plants with solar photovoltaic power systems." In Energy-smart farming: Efficiency, renewable energy and sustainability. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2022.0100.22.

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Agrivoltaics are renewable energy systems that combine food production with electricity generation from solar photovoltaics (PV). Research and development on agrivoltaics has increased steadily in recent years to address the questions: "How is crop production affected under PV panels?" and "How can energy and food production be co-optimised on the same land?" Beneath solar PV panels, crop production can increase, decrease or remain unaltered depending on the crop species, the design of the PV system and the local environmental conditions. In dry weather and high radiation conditions, agrivolta
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Bolan, Nanthi S., Surinder Saggar, Jiafa Luo, Rita Bhandral, and Jagrati Singh. "Gaseous Emissions of Nitrogen from Grazed Pastures: Processes, Measurements and Modelling, Environmental Implications, and Mitigation." In Advances in Agronomy. Elsevier, 2004. http://dx.doi.org/10.1016/s0065-2113(04)84002-1.

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Trnka, Mirek, Rudolf Brázdil, Lorenzo Brilli, et al. "Modelling the impact of climate change on agriculture in Europe." In Modelling climate change impacts on agricultural systems. Burleigh Dodds Science Publishing, 2023. http://dx.doi.org/10.19103/as.2022.0115.14.

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The agricultural land represents the most important form of land use, accounting for almost 48% of the European land area. Europe- Despite its relatively small share of global agriculture land total area (9.8%), has been one of the world’s largest and most productive suppliers of food and fibre. Europe accounted for 17.6% of the global cereal production during 2014–2018, and average yields in EU countries were 6.8% higher than the world average in the same period. As this chapter shows the climate change will pose substantial challenge for provisioning but also for other ecosystem services. Th
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Conference papers on the topic "Agronomic modelling"

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Jones, G., C. Gee, S. Villette, and F. Truchetet. "Validation of a virtual agronomic image modelling." In 2010 2nd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2010. http://dx.doi.org/10.1109/ipta.2010.5586743.

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"Towards an AI agronomist: Developing fast and efficient methods for predicting crop growth using machine learning." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.powell.

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