| Germination parameterization and development of an after-ripening thermal-time model for primary dormancy release of Lithospermum arvense seeds GR Chantre, D Batlla, MR Sabbatini, G Orioli Annals of botany 103 (8), 1291-1301, 2009 | 81 | 2009 |
| Predicting field weed emergence with empirical models and soft computing techniques JL Gonzalez‐Andujar, GR Chantre, C Morvillo, AM Blanco, F Forcella Weed Research 56 (6), 415-423, 2016 | 54 | 2016 |
| A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks GR Chantre, MR Vigna, JP Renzi, AM Blanco Biosystems engineering 170, 51-60, 2018 | 35 | 2018 |
| Modeling Avena fatua seedling emergence dynamics: An artificial neural network approach GR Chantre, AM Blanco, MV Lodovichi, AJ Bandoni, MR Sabbatini, ... Computers and electronics in agriculture 88, 95-102, 2012 | 35 | 2012 |
| Development of a thermal-time model for combinational dormancy release of hairy vetch (Vicia villosa ssp. villosa) JP Renzi, GR Chantre, MA Cantamutto Crop and Pasture Science 65 (5), 470-478, 2014 | 34 | 2014 |
| Self‐regeneration of hairy vetch (Vicia villosa Roth) as affected by seedling density and soil tillage method in a semi‐arid agroecosystem JP Renzi, GR Chantre, MA Cantamutto Grass and Forage Science 72 (3), 524-533, 2017 | 29 | 2017 |
| Effect of burial depth and soil water regime on the fate of Lithospermum arvense seeds in relation to burial time GR Chantre, MR Sabbatini, GA Orioli Weed Research 49 (1), 81-89, 2009 | 29 | 2009 |
| Modeling seed dormancy release and germination for predicting Avena fatua L. field emergence: A genetic algorithm approach AM Blanco, GR Chantre, MV Lodovichi, JA Bandoni, RL López, MR Vigna, ... Ecological modelling 272, 293-300, 2014 | 28 | 2014 |
| Diversity of Naturalized Hairy Vetch (Vicia villosa Roth) Populations in Central Argentina as a Source of Potential Adaptive Traits for Breeding JP Renzi, GR Chantre, P Smýkal, AD Presotto, L Zubiaga, AF Garayalde, ... Frontiers in plant science 11, 189, 2020 | 27 | 2020 |
| A comparative study between non-linear regression and artificial neural network approaches for modelling wild oat (Avena fatua) field emergence GR Chantre, AM Blanco, F Forcella, RC Van Acker, MR Sabbatini, ... The Journal of Agricultural Science 152 (2), 254-262, 2014 | 27 | 2014 |
| Operational planning of herbicide-based weed management MV Lodovichi, AM Blanco, GR Chantre, JA Bandoni, MR Sabbatini, ... Agricultural Systems 121, 117-129, 2013 | 27 | 2013 |
| Simulation models on the ecology and management of arable weeds: structure, quantitative insights, and applications MV Bagavathiannan, HJ Beckie, GR Chantre, JL Gonzalez-Andujar, ... Agronomy 10 (10), 1611, 2020 | 21 | 2020 |
| Effect of water availability and seed source on physical dormancy break of Vicia villosa ssp. villosa JP Renzi, GR Chantre, MA Cantamutto Seed Science Research 26 (3), 254-263, 2016 | 21 | 2016 |
| Vicia villosa ssp. villosa Roth field emergence model in a semiarid agroecosystem JP Renzi, GR Chantre, MA Cantamutto Grass and Forage Science 73 (1), 146-158, 2018 | 19 | 2018 |
| Towards an integrated weed management decision support system: A simulation model for weed-crop competition and control FA Molinari, AM Blanco, MR Vigna, GR Chantre Computers and Electronics in Agriculture 175, 105597, 2020 | 17 | 2020 |
| Decision Support Systems for Weed Management GR Chantre, JL González-Andújar Springer International Publishing, 2020 | 17 | 2020 |
| Germination behaviour of Conyza bonariensis to constant and alternating temperatures across different populations F Valencia‐Gredilla, ML Supiciche, GR Chantre, J Recasens, ... Annals of Applied Biology 176 (1), 36-46, 2020 | 16 | 2020 |
| Weed emergence models A Royo-Esnal, J Torra, GR Chantre Decision Support Systems for Weed Management, 85-116, 2020 | 15 | 2020 |
| Soil nitrogen fertilisation as a maternal effect on Buglossoides arvensis seed germinability MM Longas, GR Chantre, MR Sabbatini Weed Research 56 (6), 462-469, 2016 | 15 | 2016 |
| An after‐ripening thermal‐time model for Lithospermum arvense seeds based on changes in population hydrotime parameters GR Chantre, MR Sabbatini, GA Orioli Weed Research 50 (3), 218-227, 2010 | 15 | 2010 |
Jose L. Gonzalez-AndujarInstituto de Agricultura Sostenible, Consejo Superior de Investigaciones Cientificas (CSIC)在 ias.csic.es 的电子邮件经过验证
