EventsThe 3rd International Electronic Conference on Agronomy
Published
This submission belongs to the session S4. Digital farming for the evolution of agriculture and agricultural engineering of the event The 3rd International Electronic Conference on Agronomy
Published date
13 Oct, 2023
Academic Editor
author-avatarJitka Kumhalova
Citation
Ana Coelho Marques, Cláudia Campos Pessoa, Diana Daccak, Inês Carmo Luís, Ana Rita F. Coelho, Manuela Simões, Paula Scotti-Campos, Ana Sofia Almeida, Maria Graça Brito, José Carlos Kullberg, José C. Ramalho, José Manuel N. Semedo, Fernando Reboredo, Maria Manuela Silva, Paulo Legoinha, Maria F. Pessoa, Lourenço Palha, Cátia Silva, Isabel P. Pais, Fernando C. Lidon, Precision Agriculture in Rice (Oryza sativa L.) Biofortified with Selenium, in Proceedings of The 3rd International Electronic Conference on Agronomy, 15 October–30 October 2023, MDPI: Basel, Switzerland, doi: 10.3390/IECAG2023-14993
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Precision Agriculture in Rice (Oryza sativa L.) Biofortified with Selenium

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Cláudia Campos Pessoa 2,3
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Lourenço Palha 7
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1. Earth Sciences Department, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal, Portugal
2. GeoBioTec Research Center, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
3. Earth Sciences Department, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
4. INIAV, Instituto Nacional de Investigação Agrária e Veterinária, Oeiras, Portugal
5. INIAV, Instituto Nacional de Investigação Agrária e Veterinária, Elvas, Portugal
6. PlantStress & Biodiversity Lab., Centro de Estudos Florestais (CEF), Associate Laboratory TERRA, Instituto Superior Agronomia (ISA), Universidade de Lisboa (ULisboa), Oeiras and Tapada da Ajuda, Lisboa, Portugal;
7. Centro de Competências do Arroz (COTArroz), Salvaterra de Magos, Portugal
Abstract

Remote sensing data is a powerful tool that contributes to sustainability and efficiency in crop management. Rice (Oryza sativa L.) is widely recognized as one of the most important crops in terms of economic and social impact. The aim of this study was to evaluate the efficiency of the use of an Unmanned Aerial Vehicles (UAVs) in two rice varieties (Ariete and Ceres) submitted to a biofortification workflow with two types of selenium (sodium selenate and sodium selenite) in providing valuable information regarding plant health and status. In this context, through the use of an UAVs synchronized, the state of the culture was further assessed, digital elevation model, water lines, slope classes / infiltration suitability and Normalized Difference Vegetation Index (NDVI) were considered. Additionally, leaf gas exchange measurements were conducted during the biofortification process and Se content in rice was quantified. The NDVI index ranged from 0.76 to 0.80 without significant differences regarding control. It was observed that the water drainage pattern following the artificial pattern created by grooves between plots. Furthermore, selenite application up to 100 g Se.ha−1 did not exhibit toxicity effects on the biofortified plants and presented a grain enriched of 16.09 µg g-1 (Ariete) and 15.46 µg g-1 (Ceres). In conclusion, through precision agriculture techniques and utilizing data from leaf gas exchanges allows an efficient monitoring of the experimental field conditions and is a highly useful tool in decision making.

Keywords
leaf gas exchanges
Oryza sativa L.
precision agriculture
selenium biofortification
Manuscript
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