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Breeder friendly phenotyping.
Reynolds, Matthew; Chapman, Scott; Crespo-Herrera, Leonardo; Molero, Gemma; Mondal, Suchismita; Pequeno, Diego N L; Pinto, Francisco; Pinera-Chavez, Francisco J; Poland, Jesse; Rivera-Amado, Carolina; Saint Pierre, Carolina; Sukumaran, Sivakumar.
Afiliación
  • Reynolds M; International Maize and Wheat Improvement Centre, Mexico. Electronic address: m.reynolds@cgiar.org.
  • Chapman S; CISRO Agriculture and Food, The University of Queensland, Australia.
  • Crespo-Herrera L; International Maize and Wheat Improvement Centre, Mexico.
  • Molero G; International Maize and Wheat Improvement Centre, Mexico.
  • Mondal S; International Maize and Wheat Improvement Centre, Mexico.
  • Pequeno DNL; International Maize and Wheat Improvement Centre, Mexico.
  • Pinto F; International Maize and Wheat Improvement Centre, Mexico.
  • Pinera-Chavez FJ; International Maize and Wheat Improvement Centre, Mexico.
  • Poland J; Kansas State University, USA.
  • Rivera-Amado C; International Maize and Wheat Improvement Centre, Mexico.
  • Saint Pierre C; International Maize and Wheat Improvement Centre, Mexico.
  • Sukumaran S; International Maize and Wheat Improvement Centre, Mexico.
Plant Sci ; 295: 110396, 2020 Jun.
Article en En | MEDLINE | ID: mdl-32534615
ABSTRACT
The word phenotyping can nowadays invoke visions of a drone or phenocart moving swiftly across research plots collecting high-resolution data sets on a wide array of traits. This has been made possible by recent advances in sensor technology and data processing. Nonetheless, more comprehensive often destructive phenotyping still has much to offer in breeding as well as research. This review considers the 'breeder friendliness' of phenotyping within three main domains (i) the 'minimum data set', where being 'handy' or accessible and easy to collect and use is paramount, visual assessment often being preferred; (ii) the high throughput phenotyping (HTP), relatively new for most breeders, and requiring significantly greater investment with technical hurdles for implementation and a steeper learning curve than the minimum data set; (iii) detailed characterization or 'precision' phenotyping, typically customized for a set of traits associated with a target environment and requiring significant time and resources. While having been the subject of debate in the past, extra investment for phenotyping is becoming more accepted to capitalize on recent developments in crop genomics and prediction models, that can be built from the high-throughput and detailed precision phenotypes. This review considers different contexts for phenotyping, including breeding, exploration of genetic resources, parent building and translational research to deliver other new breeding resources, and how the different categories of phenotyping listed above apply to each. Some of the same tools and rules of thumb apply equally well to phenotyping for genetic analysis of complex traits and gene discovery.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Productos Agrícolas / Fitomejoramiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Plant Sci Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenotipo / Productos Agrícolas / Fitomejoramiento Tipo de estudio: Prognostic_studies Idioma: En Revista: Plant Sci Año: 2020 Tipo del documento: Article