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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
30/11/2020 |
Actualizado : |
05/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
WANG, X.; SILVA, P.; BELLO, N.M.; SINGH, D.; EVERS, B.; SINGH, R.P.; POLAND, J. |
Afiliación : |
XU WANG, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.;Department of Plant Pathology, Kansas State University, Manhattan, KS, United States; Interdepartmental Genetics, Kansas State University, Manhattan, KS, United State; NORA M. BELLO, Department of Statistics, Kansas State University, Manhattan, KS, United States,; DALJIT SINGH, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; BYRON EVERS, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States.; RAVI P. SINGH, Global Wheat Program, International Maize and Wheat Improvement Center, Mexico City, Mexico.; JESSE POLAND1, Department of Plant Pathology, Kansas State University, Manhattan, KS, United States. |
Título : |
Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Frontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093 |
DOI : |
10.3389/fpls.2020.587093 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020. |
Contenido : |
The development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection. MenosThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial
images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-s... Presentar Todo |
Palabras claves : |
CANOPY TEMPERATURE; GROUND COVER; HIGH-THROUGHPUT PHENOTYPING; NORMALIZED DIFFERENCE VEGETATION INDEX; UNMANNED AERIAL SYSTEMS; WHEAT. |
Thesagro : |
TRIGO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16703/1/fpls-11-587093.pdf
https://www.frontiersin.org/articles/10.3389/fpls.2020.587093/pdf
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Marc : |
LEADER 03406nam a2200289 a 4500 001 1061531 005 2022-09-05 008 2020 bl uuuu u0uu1 u #d 024 7 $a10.3389/fpls.2020.587093$2DOI 100 1 $aWANG, X. 245 $aImproved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images.$h[electronic resource] 260 $aFrontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093$c2020 500 $aArticle history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020. 520 $aThe development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based highthroughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo,probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broadsense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection. 650 $aTRIGO 653 $aCANOPY TEMPERATURE 653 $aGROUND COVER 653 $aHIGH-THROUGHPUT PHENOTYPING 653 $aNORMALIZED DIFFERENCE VEGETATION INDEX 653 $aUNMANNED AERIAL SYSTEMS 653 $aWHEAT 700 1 $aSILVA, P. 700 1 $aBELLO, N.M. 700 1 $aSINGH, D. 700 1 $aEVERS, B. 700 1 $aSINGH, R.P. 700 1 $aPOLAND, J.
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INIA La Estanzuela (LE) |
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Registros recuperados : 141 | |
23. | | POMPOZZI, GABRIEL; DE SANTIAGO, F.; BLUMETTO, O.; SIMÓ, M. Livestock systems preserving natural grasslands are biodiversity reservoirs that promote spiders' conservation. Journal of Insect Conservation, 2022, volume 26, Issue 3, pages 453-462. doi: https://doi.org/10.1007/s10841-022-00399-y Article history: Received 17 May 2021; Accepted 8 April 2022.
Corresponding author: Pompozzi, G.; Laboratorio de Entomología, IADIZA (CCT CONICET-Mendoza), Mendoza, Argentina; email:gabrielpompozzi@gmail.com --
The study work was...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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24. | | PARUELO, J.; GASPARRI, I.; MARTINO, D.; ETCHEBARNE, V.; RODRÍGUEZ, P.; CIGANDA, V.; PANIZZA, A.; GONZÁLEZ, I.; SIMÓN, C.; TISCORNIA, G.; PEREIRA, M.; SOARES DE LIMA, F.; CÁCERES, D.; BUENO, H.; CARRIQUIRY, R.; PERI, P.; BERNARDI, R.; BERAZATEGUI, M.; RODRÍGUEZ-GALLEGO, L.; BLUMETTO, O.; CASTAGNA, A.; BRAZEIRO, A.; FAROPPA, C.; PENENGO, C.; ESCUDERO, P.; DE LEÓN, G. Resumen de la jornada de intercambio sobre las oportunidades y desafíos del uso de bosque nativo y sus especies nativas, integrados a la producción ganadera de Uruguay. In: Paruelo, J.; Ciganda, V.; Gasparri, I.; Paniiza, A. (eds.técnicos). Oportunidades y desafíos del uso de los bosques nativos integrados a la producción ganadera de Uruguay. Montevideo (UY): INIA, 2022. p.93-103. (INIA Serie Técnica; 261).Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Las Brujas. |
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25. | | DE SANTIAGO, F.; BARRIOS, M.; D'ANATRO, A.; GARCÍA, L.F.; MAILHOS, A.; POMPOZZI, G.; REHERMANN, S.; SIMÓ, M.; TESITORE, G.; DE MELLO, F.T.; VALTIERRA, V.; BLUMETTO, O. From theory to practice: can LEAP/FAO biodiversity assessment guidelines be a useful tool for knowing the environmental status of livestock systems? Sustainability, 2022, Volume 14, Issue 23, e16259. OPEN ACCESS. doi: https://doi.org/10.3390/su142316259 Article history: Received 6 November 2022; Revised 29 November 2022; Accepted 29 November 2022; Published 6 December 2022. -- Academic Editor: Andrea Pezzuolo. -- LICENSE: Licensee MDPI, Basel, Switzerland. This article is an open access...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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26. | | DE BARBIERI, I.; BLUMETTO, O.; NAVAJAS, E.; LUZARDO, S.; MONTOSSI, F.; CIAPPESONI, G. Valorización de la producción ovina: animales, personas y ambiente. AMBIENTE. En: Cueto, M.I.; Maurino, J.; Giovannini, N.; Bruno Galarraga, M.M. (eds.). Actualización en Producción Ovina 2022: memorias del 10 Curso "Hacia sistemas más sustentables", San Carlos de Bariloche 14 al 15 de noviembre de 2022. p. 32-37. Se reconoce el aporte de los proyectos RUMIAR (CL38 financiado por INIA), Smarter (financiado por H2020, n°772787), y GrasstoGas (ERA-NET SusAn, ERA-NET FACCE
ERA-GAS y ERA-NET ICT-AGRI 2) para desarrollar el trabajo presentado.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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27. | | RUGGIA, A.; DOGLIOTTI, S.; AGUERRE, V.; ALBICETTE, M.M.; ALBÍN, A.; BLUMETTO, O.; CARDOZO, G.; LEONI, C.; QUINTANS, G.; SCARLATO, S.; TITTONELL, P.; ROSSING, W. A.H. The application of ecologically intensive principles to the systemic redesign of livestock farms on native grasslands: A case of co-innovation in Rocha, Uruguay. Agricultural Systems, June 2021, Volume 191, Article 103148. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agsy.2021.103148 Article history: Received 30 November 2020; Received in revised form 5 April 2021; Accepted 6 April 2021.
Editor: Guillaume Martin.
The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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28. | | BASILE, P.; FORMOSO, D.; BLUMETTO, O. Floristic composition and above-ground net primary production innatural grasslands on basaltic deep soils. [Composición florística y productividad primaria neta aérea de campos naturales sobre suelos profundos de basalto.]. [Composição florística e produtividade primária aérea liquida de campos naturais sobre solos de Basalto profundo.] Sectiion: Animal production and pastures. Agrociencia Uruguay, 2021, vol. 25, n.2, article e417. Doi: https://doi.org/10.31285/AGRO.25.417 Article history: Received 29 Sep 2020; Accepted 22 Feb 2021; Published 17May 2021.
Editor: Pablo Boggiano, Universidad de la República, Paysandú, Uruguay.
Correspondence: Patricia Basile, mail: patricia.basile@cut.edu.uyTipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
Biblioteca(s): INIA Las Brujas. |
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29. | | DIRECCIÓN GENERAL DE COOPERACIÓN INTERNACIONAL Y DESARROLLO (COMISIÓN EUROPEA); ARAGÓN, R.; ARGUEDAS, S.; BLUMETTO, O.; BROWN, A.; CORDERO, D.; DE BUSTOS, S.; EGUINO, S.; FEDRIGO, J.; GALLO, M.; GROSFELD, J.; LEDERMAN, M.; MERLOT, L.; MIRANDA, C.; PACHECO, S.; PAINTER, L.; SGUERRA, S.; SILVA, C.; VELÁSQUEZ, B.; VENNETIER, C.; VIDES, R.; VILA, A. Larger than jaguars. Inputs for a strategic approach to biodiversity conservation in Latin America and the Caribbean : synthesis report. Luxembourg (Bruselas): Publications Office of the European Union, 2021. 190 p. This publication is a report by the European Commission's Directorate-General for International Partnerships, produced as part of the operational response of the Wildlife Crisis Window of the EU Biodiversity for Life (EU B4Life) flagship...Biblioteca(s): INIA Las Brujas. |
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30. | | BLUMETTO, O.; CASTAGNA, A. Linking livestock production and wild biodiversity: contribution of pastoral production systems to the habitat of bird priority conservation species. Environmental Science and Engineering, 2021, Pages 1321 - 1326, 2nd Euro-Mediterranean Conference on Environmental Integration, EMCEI 2019, 10 October 2019 - 13 October 2019. Doi: https://doi.org/10.1007/978-3-030-51210-1_209 Part of the Environmental Science and Engineering book series (ESE); Part of the Environmental Science book sub series (ENVSC) Corresponding author: Blumetto, O.; Las Brujas ExperimentalStation, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay, RUTA 48 KM 10, RINCON DEL COLORADO, Uruguay; email:oblumetto@inia.org.uyTipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Las Brujas. |
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32. | | BLUMETTO, O. Estado de situación de la invasión de especies exóticas del bosque nativo. Consultoría para la elaboración de una línea de base del estado actual de los objetos focales para la conservación del APA (Áreas de Protección Ambiental) cuenca media del arroyo Solís Grande. Canelones (UY): INIA, 2020. 14 p. Informe de consultoría para el Sistema departamental de Áreas Protegidas de Canelones (SDAPA).Biblioteca(s): INIA Las Brujas. |
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33. | | POMPOZZI, G.; DE SANTIAGO, F.; BLUMETTO, O.; SIMÓ, M. Los pastizales naturales en sistemas ganaderos de Uruguay como reservorios de la diversidad de arañas. Presentaciones orales: Ecología y comportamiento. In: Congreso Latinoamericano de Aracnología, 6., Museo Argentino de Ciencias Naturales, Buenos Aires, Argentina, 14?18 diciembre 2020. Libro de resúmenes, p.132-133. Financiamiento: Instituto Nacional de Investigación Agropecuaria-INIA (Uruguay), Agencia Nacional de Investigación e Innovación-ANII (Uruguay).Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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34. | | ARISTIDE, P.; CITTADINI, E.; BLUMETTO, O.; GIOBELLINA, B.; LEDESMA, S.; OVALLE, C.; MARCHAO, R.; CABALLERO, P.J.; OSMAN, A.; TITTONELL, P. Variables claves para la evaluación de la sustentabilidad de los sistemas agropecuarios. Hacia un sistema de indicadores de intensificación sostenible en el Cono Sur. Montevideo (UY) : PROCISUR, 2020. 22 p. (Procisur, Documentos) Grupo de Trabajo: Instituto Nacional de Tecnología Agropecuaria (INTA) de Argentina; Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA); Instituto de Investigaciones Agropecuarias (INIA) de Chile; Instituto Paraguayo de Tecnología...Biblioteca(s): INIA Las Brujas. |
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36. | | DARDANELLI, S.; ALDABE, J.; CALAMARI, N.C.; CANAVELLI, S.B.; BARZAN, F.; GOIJMAN, A.P.; LEZANA, L.; SOCA, P.; BLUMETTO, O. Birds as environmental indicators for the design of sustainable livestock system. [Conference paper]. In: Proceedings of the 6th International Symposium for Farming Systems Design (FSD6). "Agricultural systems designs sustained by nature". Montevideo, Uruguay, 24 to 29 March, 2019. 4 p.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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38. | | BLUMETTO, O.; CASTAGNA, A.; CARDOZO, G.; GARCIA, F.; TISCORNIA, G.; RUGGIA, A.; SCARLATO, S.; ALBICETTE, M.M.; AGUERRE, V.; ALBÍN, A. Ecosystem integrity index, an innovative environmental evaluation tool for agricultural production systems. Ecological indicators, 2019, v. 101, p. 725-733. Article history: Received 4 July 2018; Received in revised form 9 January 2019; Accepted 29 January 2019.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 141 | |
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