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Translating high-throughput phenotyping into genetic gain

Araus, J.L.; Kefauver, S.C.; Zaman-Allah, M.; Olsen, M.; Cairns, J.E. (Elsevier, 2018)

Poster Sessions: Advances in Plant Phenotyping Technologies and Adding Value to Phenotypic Data

Autor desconocido (CIMMYT, 2017)

A European perspective on opportunities and demands for field-based crop phenotyping

Morisse, M.; Wells, D.M.; Millet, E.J.; Lillemo, M.; Fahrner, S.; Cellini, F.; Lootens, P.; Muller, O.; Herrera, J.M.; Bentley, A.R.; Janni, M. (Elsevier, 2021)

Assessing the efficiency of phenotyping early traits in a greenhouse automated platform for predicting drought tolerance of soybean in the field

Peirone, Laura Soledad; Pereyra Irujo, Gustavo Adrian; Bolton, Alejandro; Erreguerena, Ignacio Antonio; Aguirrezábal, Luis Adolfo Nazareno (Frontiers Media S.A., 2018-05)

Conventional field phenotyping for drought tolerance, the most important factor limiting yield at a global scale, is labor-intensive and time-consuming. Automated greenhouse platforms can increase the precision and throughput ...

High-throughput phenotyping in genomic selection yield trials

Kumar, U. (CIMMYT, 2018)

Management of drought stress in field phenotyping

Zaidi, P.H. (CIMMYT, 2019)

UAV-based field phenotyping based on low-cost, open-source hardware and software

Pereyra Irujo, Gustavo; Velázquez, Luciano; Lorenzo, Máximo; Laboranti, Luciano; Aguirrezábal, Luis; Montoya, Marina; Angelini, Hernán (2016)

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize

Zaman-Allah, M.; Vergara Diaz, O.; Araus, J.L.; Zarco‑Tejada, P.J.; Hornero, A.; Hernández-Alba, A.; Magorokosho, C.; Das, B.; Amsal Tesfaye Tarekegne; Cairns, J.E.; Prasanna, B.M.; Olsen, M.; Craufurd, P. (BioMed Central, 2016)

Advanced field-based phenotyping methods and opportunities for improving genetic gain in crop improvement

Zaman-Allah, M. (CIMMYT, 2023)

Poster Sessions: Phenotyping for Crop Improvement