Listar por autor "Pinto Espinosa, F."
Mostrando ítems 1-20 de 36
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Article
Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs
Krause, M.; Mondal, S.; Crossa, J.; Singh, R.P.; Pinto Espinosa, F.; Haghighattalab, A.; Shrestha, S.; Rutkoski, J.; Gore, M.A.; Sorrells, M.E.; Poland, J.A. (Crop Science Society of America (CSSA), 2020)
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Article
Aerial high‐throughput phenotyping enabling indirect selection for grain yield at the early‐generation seed‐limited stages in breeding programs
Krause, M.; Mondal, S.; Crossa, J.; Singh, R.P.; Pinto Espinosa, F.; Haghighattalab, A.; Shrestha, S.; Rutkoski, J.; Gore, M.A.; Sorrells, M.E.; Poland, J.A. (CSSA; Wiley, 2020)
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Presentation
AP01 - Exploring Genetic Diversity for Biomass and Traits Related to Canopy Photosynthesis
Molero, G.; Pinto Espinosa, F.; Piñera Chavez, F.J.; Rivera Amado, A.C.; Sukumaran, S.; Reynolds, M.P. (CIMMYT, 2018)
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Presentation
AP01 - Exploring genetic diversity for biomass and traits related to canopy photosynthesis
Molero, G.; Pinto Espinosa, F.; Piñera Chavez, F.J.; Rivera Amado, A.C.; Sukumaran, S.; Gimeno, J.; Saint Pierre, C.; Reynolds, M.P. (CIMMYT, 2019)
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Article
Breeder friendly phenotyping
Reynolds, M.P.; Chapman, S.; Crespo Herrera, L.A.; Molero, G.; Mondal, S.; Pequeno, D.N.L.; Pinto Espinosa, F.; Piñera Chavez, F.J.; Poland, J.A.; Rivera Amado, A.C.; Saint Pierre, C.; Sukumaran, S. (Elsevier, 2020)
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Article
Dynamics of sun-induced chlorophyll fluorescence and reflectance to detect stress-induced variations in canopy photosynthesis
Pinto Espinosa, F.; Celesti, M.; Acebron, K.; Alberti, G.; Cogliati, S.; Colombo, R.; Juszczak, R.; Matsubara, S.; Miglietta, F.; Palombo, A.; Panigada, C.; Pignatti, S.; Rossini, M.; Sakowska, K.; Schickling, A.; Schüttemeyer, D.; Strózecki, M.; Tudoroiu, M.; Rascher, U. (Blackwell Publishing Ltd, 2020)
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Article
Exotic alleles contribute to heat tolerance in wheat under field conditions
Molero, G.; Coombes, B.; Joynson, R.; Pinto Espinosa, F.; Piñera Chavez, F.J.; Rivera Amado, A.C.; Hall, A.J.W.; Reynolds, M.P. (Springer Nature, 2023)
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Article
Field-based remote sensing models predict radiation use efficiency in wheat
Robles-Zazueta, C.A.; Molero, G.; Pinto Espinosa, F.; Foulkes, M.J.; Reynolds, M.P.; Murchie, E. (Oxford University Press, 2021)
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Presentation
Genome-based predictions of sub-genome genetic interactions effects in wheat populations
González-Diéguez, D.; Crossa, J.; Rivera Amado, A.C.; Piñera Chavez, F.J.; Pinto Espinosa, F.; Saint Pierre, C.; Perez-Rodriguez, P.; Dreisigacker, S.; Reynolds, M.P. (CIMMYT, 2022)
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Presentation
Genome-based predictions of sub-genome genetic interactions effects in wheat populations
González-Diéguez, D.; Crossa, J.; Rivera Amado, A.C.; Piñera Chavez, F.J.; Pinto Espinosa, F.; Saint Pierre, C.; Perez-Rodriguez, P.; Dreisigacker, S.; Reynolds, M.P. (CIMMYT, 2022)
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Article
Global Wheat Head Detection 2021: an improved dataset for benchmarking wheat head detection methods
David, E.; Serouart, M.; Smith, D.; Madec, S.; Velumani, K.; Shouyang Liu; Xu Wang; Pinto Espinosa, F.; Shafiee, S.; Tahir, I.S.A.; Hisashi Tsujimoto; Shuhei Nasuda; Bangyou Zheng; Kirchgessner, N.; Aasen, H.; Hund, A.; Sadhegi-Tehran, P.; Koichi Nagasawa; Goro Ishikawa; Dandrifosse, S.; Carlier, A.; Dumont, B.; Mercatoris, B.; Evers, B.; Ken Kuroki; Haozhou Wang; Masanori Ishii; Badhon, M.A.; Pozniak, C.J.; LeBauer, D.S.; Lillemo, M.; Poland, J.A.; Chapman, S.; Solan, B.de; Baret, F.; Stavness, I.; Wei Guo (Science Partner Journals; AAAS, 2021)
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Article
Harnessing translational research in wheat for climate resilience
Reynolds, M.P.; Lewis, J.M.; Ammar, K.; Basnet, B.R.; Crespo Herrera, L.A.; Crossa, J.; Dhugga, K.; Dreisigacker, S.; Juliana, P.; Karwat, H.; Kishii, M.; Krause, M.; Langridge, P.; Lashkari, A.; Mondal, S.; Payne, T.S.; Pequeno, D.N.L.; Pinto Espinosa, F.; Sansaloni, C.P.; Schulthess, U.; Singh, R.P.; Sonder, K.; Sukumaran, S.; Wei Xiong; Braun, H.J. (Oxford University Press, 2021)
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Article
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation
Volpato, L.; Pinto Espinosa, F.; Gonzalez-Perez, L.; Thompson, I.G.; Borém, A.; Reynolds, M.P.; Gerard, B.; Molero, G.; Rodrigues, F. (Frontiers, 2021)
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Presentation
High Throughput-Phenotyping at CIMMYT: Experiences and needs
Pinto Espinosa, F. (CIMMYT, 2021)
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Article
High-throughput plot-level quantitative phenotyping using convolutional neural networks on very high-resolution satellite images
Victor, B.; Nibali, A.; Newman, S.J.; Coram, T.; Pinto Espinosa, F.; Reynolds, M.P.; Furbank, R.T.; Zhen He (MDPI, 2024)
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Article
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images
Xu Wang; Silva, P.; Bello, N.M.; Singh, D.; Evers, B.; Mondal, S.; Pinto Espinosa, F.; Singh, R.P.; Poland, J.A. (Frontiers, 2020)
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Presentation
Incorporating complex physiological traits into wheat breeding pipelines
Molero, G.; Piñera Chavez, F.J.; Rivera Amado, A.C.; Gimeno, J.; Pinto Espinosa, F.; Sukumaran, S.; Saint Pierre, C.; Reynolds, M.P. (CIMMYT, 2018)
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Conference Poster
Increasing genetic gains in wheat through physiological genetics and breeding
Sukumaran, S.; Reynolds, M.P.; Crossa, J.; Lopes, M.S.; Jarquín, D.; Dreisigacker, S.; Molero, G.; Pinto Espinosa, F.; Piñera Chavez, F.J. (CIMMYT, [2016])
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Article
Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
Juliana, P.; Montesinos-Lopez, O.A.; Crossa, J.; Mondal, S.; Gonzalez-Perez, L.; Poland, J.A.; Huerta-Espino, J.; Crespo Herrera, L.A.; Velu, G.; Dreisigacker, S.; Shrestha, S.; Perez-Rodriguez, P.; Pinto Espinosa, F.; Singh, R.P. (Springer, 2019)
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Article
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Togninalli, M.; Xu Wang; Kucera, T.; Shrestha, S.; Juliana, P.; Mondal, S.; Pinto Espinosa, F.; Velu, G.; Crespo Herrera, L.A.; Huerta-Espino, J.; Singh, R.P.; Borgwardt, K.; Poland, J.A. (Oxford University Press, 2023)