Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

This article has been cited by the following article(s):

Trait-based model development to support breeding programs. A case study for salt tolerance and rice

Livia Paleari, Ermes Movedi and Roberto Confalonieri
Scientific Reports 7 (1) (2017)
DOI: 10.1038/s41598-017-04022-y
See this article

Novel and Automatic Rice Thickness Extraction Based on Photogrammetry Using Rice Edge Features

Yuchen Kong, Shenghui Fang, Xianting Wu, et al.
Sensors 19 (24) 5561 (2019)
DOI: 10.3390/s19245561
See this article

On farm assessment of rice yield variability and productivity gaps between organic and conventional cropping systems under Mediterranean climate

S. Delmotte, P. Tittonell, J.-C. Mouret, R. Hammond and S. Lopez-Ridaura
European Journal of Agronomy 35 (4) 223 (2011)
DOI: 10.1016/j.eja.2011.06.006
See this article

Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments

Toshihiro Hasegawa, Tao Li, Xinyou Yin, Yan Zhu, Kenneth Boote, Jeffrey Baker, Simone Bregaglio, Samuel Buis, Roberto Confalonieri, Job Fugice, Tamon Fumoto, Donald Gaydon, Soora Naresh Kumar, Tanguy Lafarge, Manuel Marcaida III, Yuji Masutomi, Hiroshi Nakagawa, Philippe Oriol, Françoise Ruget, Upendra Singh, Liang Tang, Fulu Tao, Hitomi Wakatsuki, Daniel Wallach, Yulong Wang, Lloyd Ted Wilson, Lianxin Yang, Yubin Yang, Hiroe Yoshida, Zhao Zhang and Jianguo Zhu
Scientific Reports 7 (1) (2017)
DOI: 10.1038/s41598-017-13582-y
See this article

Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations

Francesco Nutini, Roberto Confalonieri, Livia Paleari, et al.
Precision Agriculture 22 (4) 1284 (2021)
DOI: 10.1007/s11119-021-09784-0
See this article

Quantifying plasticity in simulation models

R. Confalonieri, S. Bregaglio and M. Acutis
Ecological Modelling 225 159 (2012)
DOI: 10.1016/j.ecolmodel.2011.11.022
See this article

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

R. Confalonieri, G. Bellocchi, S. Bregaglio, M. Donatelli and M. Acutis
Ecological Modelling 221 (16) 1897 (2010)
DOI: 10.1016/j.ecolmodel.2010.04.021
See this article

A proposal of an indicator for quantifying model robustness based on the relationship between variability of errors and of explored conditions

R. Confalonieri, S. Bregaglio and M. Acutis
Ecological Modelling 221 (6) 960 (2010)
DOI: 10.1016/j.ecolmodel.2009.12.003
See this article

Sensitivity analysis of a hierarchical qualitative model for sustainability assessment of cropping systems

Marta Carpani, Jacques-Eric Bergez and Hervé Monod
Environmental Modelling and Software 27-28 15 (2012)
DOI: 10.1016/j.envsoft.2011.10.002
See this article

Coupling a generic disease model to the WARM rice simulator to assess leaf and panicle blast impacts in a temperate climate

S. Bregaglio, P. Titone, G. Cappelli, et al.
European Journal of Agronomy 76 107 (2016)
DOI: 10.1016/j.eja.2016.02.009
See this article

Screening parameters in the Pasture Simulation model using the Morris method

Haythem Ben Touhami, Romain Lardy, Vincent Barra and Gianni Bellocchi
Ecological Modelling 266 42 (2013)
DOI: 10.1016/j.ecolmodel.2013.07.005
See this article

A software component implementing a library of models for the simulation of pre-harvest rice grain quality

G. Cappelli, S. Bregaglio, M. Romani, S. Feccia and R. Confalonieri
Computers and Electronics in Agriculture 104 18 (2014)
DOI: 10.1016/j.compag.2014.03.002
See this article

Surfing parameter hyperspaces under climate change scenarios to design future rice ideotypes

Livia Paleari, Ermes Movedi, Giovanni Cappelli, Lloyd T. Wilson and Roberto Confalonieri
Global Change Biology 23 (11) 4651 (2017)
DOI: 10.1111/gcb.13682
See this article

Modelling, predicting and mapping the emergence of aflatoxins in cereals in the EU due to climate change

P. Battilani, V. Rossi, P. Giorni, A. Pietri, A. Gualla, H.J. van der Fels‐Klerx, C.J.H. Booij, A. Moretti, A. Logrieco, F. Miglietta, P. Toscano, M. Miraglia, B. De Santis and C. Brera
EFSA Supporting Publications 9 (1) (2012)
DOI: 10.2903/sp.efsa.2012.EN-223
See this article

A model for simulating the height of rice plants

Roberto Confalonieri, Simone Bregaglio, Alexandra Stella Rosenmund, Marco Acutis and Igor Savin
European Journal of Agronomy 34 (1) 20 (2011)
DOI: 10.1016/j.eja.2010.09.003
See this article

Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data

Belen Franch, Alberto San Bautista, David Fita, Constanza Rubio, Daniel Tarrazó-Serrano, Antonio Sánchez, Sergii Skakun, Eric Vermote, Inbal Becker-Reshef and Antonio Uris
Remote Sensing 13 (20) 4095 (2021)
DOI: 10.3390/rs13204095
See this article

Reproductive tissues-specific meta-QTLs and candidate genes for development of heat-tolerant rice cultivars

Qasim Raza, Awais Riaz, Khurram Bashir and Muhammad Sabar
Plant Molecular Biology 104 (1-2) 97 (2020)
DOI: 10.1007/s11103-020-01027-6
See this article

ISIde: A rice modelling platform for in silico ideotyping

L. Paleari, S. Bregaglio, G. Cappelli, E. Movedi and R. Confalonieri
Computers and Electronics in Agriculture 128 46 (2016)
DOI: 10.1016/j.compag.2016.08.018
See this article

Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration

Roberto Confalonieri, Simone Bregaglio and Marco Acutis
Ecological Modelling 328 72 (2016)
DOI: 10.1016/j.ecolmodel.2016.02.013
See this article

Urban agriculture in the transition to low carbon cities through urban greening

Mary Thornbush
AIMS Environmental Science 2 (3) 852 (2015)
DOI: 10.3934/environsci.2015.3.852
See this article

An evaluation framework to build a cost-efficient crop monitoring system. Experiences from the extension of the European crop monitoring system

Raúl López-Lozano and Bettina Baruth
Agricultural Systems 168 231 (2019)
DOI: 10.1016/j.agsy.2018.04.002
See this article

Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale

Lorenzo Busetto, Sven Casteleyn, Carlos Granell, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (12) 5423 (2017)
DOI: 10.1109/JSTARS.2017.2679159
See this article

Advancing crop modelling capabilities through cultivar-specific parameters sets for the Italian rice germplasm

Gabriele Mongiano, Patrizia Titone, Luigi Tamborini, Roberto Pilu and Simone Bregaglio
Field Crops Research 240 44 (2019)
DOI: 10.1016/j.fcr.2019.05.012
See this article

Enhancing field scale water productivity for several rice cultivars under limited water supply

Roza Jonubi, Vahid Rezaverdinejad and Hamidreza Salemi
Paddy and Water Environment 16 (1) 125 (2018)
DOI: 10.1007/s10333-017-0622-y
See this article

Analysing the parameter sensitivity of the agro-ecosystem model MONICA for different crops

Xenia Specka, Claas Nendel and Ralf Wieland
European Journal of Agronomy 71 73 (2015)
DOI: 10.1016/j.eja.2015.08.004
See this article

Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index

Manuel Campos-Taberner, Francisco García-Haro, Gustau Camps-Valls, et al.
Remote Sensing 9 (3) 248 (2017)
DOI: 10.3390/rs9030248
See this article

Conceptual Architecture and Service-Oriented Implementation of a Regional Geoportal for Rice Monitoring

Carlos Granell, Ignacio Miralles, Luis Rodríguez-Pupo, et al.
ISPRS International Journal of Geo-Information 6 (7) 191 (2017)
DOI: 10.3390/ijgi6070191
See this article

Evaluation of WARM for different establishment techniques in Jiangsu (China)

Valentina Pagani, Caterina Francone, ZhiMing Wang, et al.
European Journal of Agronomy 59 78 (2014)
DOI: 10.1016/j.eja.2014.05.010
See this article

Model simplification and development via reuse, sensitivity analysis and composition: A case study in crop modelling

T. Stella, N. Frasso, G. Negrini, et al.
Environmental Modelling & Software 59 44 (2014)
DOI: 10.1016/j.envsoft.2014.05.007
See this article

A new spatial modeling and interpolation approach for high-resolution temperature maps combining reanalysis data and ground measurements

Mariassunta Viggiano, Lorenzo Busetto, Domenico Cimini, et al.
Agricultural and Forest Meteorology 276-277 107590 (2019)
DOI: 10.1016/j.agrformet.2019.05.021
See this article

District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios

L. Paleari, G. Cappelli, S. Bregaglio, et al.
Climatic Change 132 (4) 661 (2015)
DOI: 10.1007/s10584-015-1457-4
See this article

Reimplementation and reuse of the Canegro model: From sugarcane to giant reed

T. Stella, C. Francone, S.S. Yamaç, et al.
Computers and Electronics in Agriculture 113 193 (2015)
DOI: 10.1016/j.compag.2015.02.009
See this article

A high-resolution, integrated system for rice yield forecasting at district level

Valentina Pagani, Tommaso Guarneri, Lorenzo Busetto, et al.
Agricultural Systems 168 181 (2019)
DOI: 10.1016/j.agsy.2018.05.007
See this article

GLORIFY: A new forecasting system for rice grain quality in Northern Italy

G. Cappelli, V. Pagani, A. Zanzi, et al.
European Journal of Agronomy 97 70 (2018)
DOI: 10.1016/j.eja.2018.05.004
See this article

Spring onion seed demand forecasting using a hybrid Holt-Winters and support vector machine model

Yihang Zhu, Yinglei Zhao, Jingjin Zhang, et al.
PLOS ONE 14 (7) e0219889 (2019)
DOI: 10.1371/journal.pone.0219889
See this article

Phenotypic variability in Italian rice germplasm

Gabriele Mongiano, Patrizia Titone, Simone Pagnoncelli, et al.
European Journal of Agronomy 120 126131 (2020)
DOI: 10.1016/j.eja.2020.126131
See this article

Identifying trends and associated uncertainties in potential rice production under climate change in Mediterranean areas

Simone Bregaglio, Laure Hossard, Giovanni Cappelli, Remi Resmond, Stefano Bocchi, Jean-Marc Barbier, Françoise Ruget and Sylvestre Delmotte
Agricultural and Forest Meteorology 237-238 219 (2017)
DOI: 10.1016/j.agrformet.2017.02.015
See this article

A web application to facilitate crop model comparison in ensemble studies

Laure Hossard, Simone Bregaglio, Aurore Philibert, et al.
Environmental Modelling & Software 97 259 (2017)
DOI: 10.1016/j.envsoft.2017.08.008
See this article

A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models

Mattia Sanna, Gianni Bellocchi, Mattia Fumagalli and Marco Acutis
Environmental Modelling & Software 73 286 (2015)
DOI: 10.1016/j.envsoft.2015.08.017
See this article

A set of software components for the simulation of plant airborne diseases

Simone Bregaglio and Marcello Donatelli
Environmental Modelling & Software 72 426 (2015)
DOI: 10.1016/j.envsoft.2015.05.011
See this article

Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data

Carlo Gilardelli, Tommaso Stella, Roberto Confalonieri, et al.
European Journal of Agronomy 103 108 (2019)
DOI: 10.1016/j.eja.2018.12.003
See this article

From plot to scale: ex-ante assessment of conservation agriculture in Zambia

Adam M. Komarek, Hoyoung Kwon, Beliyou Haile, et al.
Agricultural Systems 173 504 (2019)
DOI: 10.1016/j.agsy.2019.04.001
See this article

Improving cereal yield forecasts in Europe – The impact of weather extremes

Valentina Pagani, Tommaso Guarneri, Davide Fumagalli, et al.
European Journal of Agronomy 89 97 (2017)
DOI: 10.1016/j.eja.2017.06.010
See this article

25 years of the WOFOST cropping systems model

Allard de Wit, Hendrik Boogaard, Davide Fumagalli, et al.
Agricultural Systems 168 154 (2019)
DOI: 10.1016/j.agsy.2018.06.018
See this article

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls, et al.
Remote Sensing of Environment 187 102 (2016)
DOI: 10.1016/j.rse.2016.10.009
See this article

Predicting rice blast disease: machine learning versus process-based models

David F. Nettleton, Dimitrios Katsantonis, Argyris Kalaitzidis, et al.
BMC Bioinformatics 20 (1) (2019)
DOI: 10.1186/s12859-019-3065-1
See this article

Computer and Computing Technologies in Agriculture IX

Weiqing Wang
IFIP Advances in Information and Communication Technology, Computer and Computing Technologies in Agriculture IX 478 1 (2016)
DOI: 10.1007/978-3-319-48357-3_1
See this article

Estimating Rice Agronomic Traits Using Drone-Collected Multispectral Imagery

Dimitris Stavrakoudis, Dimitrios Katsantonis, Kalliopi Kadoglidou, Argyris Kalaitzidis and Ioannis Gitas
Remote Sensing 11 (5) 545 (2019)
DOI: 10.3390/rs11050545
See this article

Doğu Anadolu, Türkiye’de Yetişen Üç Centaurea L. Türünün in vitro Biyolojik Değerlendirilmesi ve Fitokimyasal Özellikleri

Yusuf ŞAVŞATLI and Mehmet Serhat ODABAŞ
Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi (2020)
DOI: 10.18016/ksutarimdoga.vi.588249
See this article

UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features

Qi Jiang, Shenghui Fang, Yi Peng, et al.
Remote Sensing 11 (7) 890 (2019)
DOI: 10.3390/rs11070890
See this article

Using boosted tree regression and artificial neural networks to forecast upland rice yield under climate change in Sahel

Lei Zhang, Seydou Traore, Jiankun Ge, et al.
Computers and Electronics in Agriculture 166 105031 (2019)
DOI: 10.1016/j.compag.2019.105031
See this article

A model to simulate the dynamics of carbohydrate remobilization during rice grain filling

Tommaso Stella, Simone Bregaglio and Roberto Confalonieri
Ecological Modelling 320 366 (2016)
DOI: 10.1016/j.ecolmodel.2015.10.026
See this article

Influence of High Temperature Stress on Net Photosynthesis, Dry Matter Partitioning and Rice Grain Yield at Flowering and Grain Filling Stages

Guo-hua LÜ, Yong-feng WU, Wen-bo BAI, et al.
Journal of Integrative Agriculture 12 (4) 603 (2013)
DOI: 10.1016/S2095-3119(13)60278-6
See this article

iTRAQ-based quantitative proteome characterization of wheat grains during filling stages

Yong CUI, Ming-ming YANG, Jian DONG, Wan-chun ZHAO and Xiang GAO
Journal of Integrative Agriculture 16 (10) 2156 (2017)
DOI: 10.1016/S2095-3119(16)61583-6
See this article

Impact of Agromanagement Practices on Rice Elongation: Analysis and Modelling

R. Confalonieri, T. Stella, P. Dominoni, et al.
Crop Science 54 (5) 2294 (2014)
DOI: 10.2135/cropsci2014.02.0116
See this article

A remote sensing-based scheme to improve regional crop model calibration at sub-model component level

Jing Zhang, Yi Chen and Zhao Zhang
Agricultural Systems 181 102814 (2020)
DOI: 10.1016/j.agsy.2020.102814
See this article

Rice yield response forecasting tool (YIELDCAST) for supporting climate change adaptation decision in Sahel

Seydou Traore, Lei Zhang, Aytac Guven and Guy Fipps
Agricultural Water Management 239 106242 (2020)
DOI: 10.1016/j.agwat.2020.106242
See this article

Fine mapping of the qHTB1-1QTL, which confers heat tolerance at the booting stage, using an Oryza rufipogon Griff. introgression line

Zhibin Cao, Yao Li, Huiwu Tang, et al.
Theoretical and Applied Genetics 133 (4) 1161 (2020)
DOI: 10.1007/s00122-020-03539-7
See this article

A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation

Roberto Confalonieri, Simone Bregaglio, Myriam Adam, et al.
Environmental Modelling & Software 85 332 (2016)
DOI: 10.1016/j.envsoft.2016.09.007
See this article

Optimizing the spectral sharing in a vertical bifacial agrivoltaics farm

Ramachandran Ammapet Vijayan, Jeevalakshmi Sivanarul and Muthubalan Varadharajaperumal
Journal of Physics D: Applied Physics 54 (30) 304004 (2021)
DOI: 10.1088/1361-6463/abfbae
See this article

Model‐based evaluation of climate change impacts on rice grain quality in the main European rice district

Giovanni Alessandro Cappelli and Simone Bregaglio
Food and Energy Security 10 (4) (2021)
DOI: 10.1002/fes3.307
See this article

A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice

Ermes Movedi, Daniele Valiante, Alessandro Colosio, Luca Corengia, Stefano Cossa and Roberto Confalonieri
Ecological Modelling 463 109797 (2022)
DOI: 10.1016/j.ecolmodel.2021.109797
See this article

Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering: A Multi-Model Analysis

Yubin Yang, Lloyd T. Wilson, Tao Li, Livia Paleari, Roberto Confalonieri, Yan Zhu, Liang Tang, Xiaolei Qiu, Fulu Tao, Yi Chen, Gerrit Hoogenboom, Kenneth J. Boote, Yujing Gao, Akio Onogi, Hiroshi Nakagawa, Hiroe Yoshida, Shiori Yabe, Michael Dingkuhn, Tanguy Lafarge, Toshihiro Hasegawa and Jing Wang
Field Crops Research 276 108394 (2022)
DOI: 10.1016/j.fcr.2021.108394
See this article

Remote sensing-based estimation of rice yields using various models: A critical review

Daniel Marc G dela Torre, Jay Gao and Cate Macinnis-Ng
Geo-spatial Information Science 24 (4) 580 (2021)
DOI: 10.1080/10095020.2021.1936656
See this article

Selection of Candidate Genes Conferring Blast Resistance and Heat Tolerance in Rice through Integration of Meta-QTLs and RNA-Seq

Tian Tian, Lijuan Chen, Yufang Ai and Huaqin He
Genes 13 (2) 224 (2022)
DOI: 10.3390/genes13020224
See this article

A trait‐based model ensemble approach to design rice plant types for future climate

Livia Paleari, Tao Li, Yubin Yang, Lloyd T. Wilson, Toshihiro Hasegawa, Kenneth J. Boote, Samuel Buis, Gerrit Hoogenboom, Yujing Gao, Ermes Movedi, Françoise Ruget, Upendra Singh, Claudio O. Stöckle, Liang Tang, Daniel Wallach, Yan Zhu and Roberto Confalonieri
Global Change Biology 28 (8) 2689 (2022)
DOI: 10.1111/gcb.16087
See this article

Measurement of Rice Filled Grain Percentage Based on Grain Shadow Features

Tao Liu, Chengxin Ji, Wei Wu, Wen Chen, Bingzhen Yang, Chen Chen, Chengming Sun, Xinkai Zhu and Wenshan Guo
Agronomy Journal 108 (3) 1070 (2016)
DOI: 10.2134/agronj2014.0410
See this article