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| DOI: | 10.1016/j.agwat.2022.107581 |
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| Web URL(s): | https://www.sciencedirect.com/science/article/pii/S0378377422001287
Last checked: 06/23/2022
Access conditions: Item is within a limited access website
https://www.sciencedirect.com/science/article/pii/S0378377422001287/pdfft?md5=1f5d5080da86d1773945459f8546fb61&pid=1-s2.0-S0378377422001287-main.pdf
Last checked: 06/23/2022
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Access conditions: Item is within a limited access website |
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| Publication Type:
| Refereed |
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| Author(s): | Yousfi, Salima;
Mar铆n, Jos茅;
Parra, Lorena;
Lloret, Jamie;
Mauri, Pedro V. |
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| Author Affiliation: | Yousfi and Mauri: Instituto Madrile帽o de Investigaci贸n y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Departamento de Investigaci贸n Agroambiental, Madrid, Spain; Mar铆n: AreaVerde MG Projects Madrid, Departamento de Investigaci贸n e Innovaci贸n, Madrid, Spain and Universidad Polit茅cnica de Madrid, Departamento de Producci贸n Agraria, Madrid, Spain; Parra: Instituto Madrile帽o de Investigaci贸n y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Departamento de Investigaci贸n Agroambiental, Madrid, Spain and Universitat Polit茅cnica de Val猫ncia, Instituto de Investigaci贸n para la Gesti贸n Integrada de Zonas Costeras, Valencia, Spain; Lloret: Universitat Polit猫cnica de Val猫ncia, Instituto de Investigaci贸n para la Gesti贸n Integrada de Zonas Costeras, Valencia, Spain |
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| Title: | Remote sensing devices as key methods in the advanced turfgrass phenotyping under different water regimes |
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| Source: | Agricultural Water Management. Vol. 266, May 31 2022, p. 107581. |
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| Publishing Information: | [Amsterdam]: Elsevier Scientific Pub. |
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| # of Pages: | 11 |
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| Keywords: | Author-Supplied Keywords: Remote sensing; NDVI; RGB images; Canopy temperature; Water deficit; Turfgrass
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| Abstract/Contents: | "Turfgrass phenotyping is a potential tool in different grass program breeding. The traditional methods for turfgrass drought phenotyping in field are time-consuming and labor-intensive. However, remote sensing techniques emerge as effective, rapid and easy approaches to optimize turfgrass selection under water stress. Remote sensing approaches are considerate as important strategies to select species of turfgrass tolerable to drought allowing green space sustainability and environment protection in regions with water limitation. Here we evaluated differences between six mixtures of C3-C4 turfgrass grown under two water regimes (limited and high irrigation). The performance of turf species was achieved using the green area (GA) vegetation index calculated from RGB (red green, blue) images obtained by ground camera and drone imagery, the normalized difference vegetation index (NDVI), the plant canopy temperature (CT) and soil moisture content (SM). Both vegetation (GA and NDVI) and water status (CT and SM) indices presented a significant difference in turfgrass growth under the two water regimes. Differences among turfgrass species were detected under limited and high irrigation using the vegetation indices. Both NDVI and GA allowed clear separation between drought-tolerant and susceptible turfgrass, as well as the identification of the mixtures with a rapid green regeneration after a period of limited irrigation. Moreover, the canopy temperature also discriminated between turfgrass species but only under limited irrigation, while soil moisture values did not differentiate between species. Furthermore, the regression and conceptual model using remote sensing parameters revealed the most adequate criteria to detect turfgrass variability under each growing condition. This study also highlights the usefulness of green area vegetation index derived from drone imagery. GA obtained by drone images in this study explained turfgrass variability better than that derived from ground RGB images or the NDVI." |
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| Language: | English |
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| References: | 80 |
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| Note: | Pictures, color
Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Yousfi, S., J. Mar铆n, L. Parra, J. Lloret, and P.V. Mauri. 2022. Remote sensing devices as key methods in the advanced turfgrass phenotyping under different water regimes. Agric. Water Manage. 266:p. 107581. |
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| DOI: 10.1016/j.agwat.2022.107581 |
| Web URL(s):
https://www.sciencedirect.com/science/article/pii/S0378377422001287
Last checked: 06/23/2022
Access conditions: Item is within a limited access website
https://www.sciencedirect.com/science/article/pii/S0378377422001287/pdfft?md5=1f5d5080da86d1773945459f8546fb61&pid=1-s2.0-S0378377422001287-main.pdf
Last checked: 06/23/2022
Requires: PDF reader
Access conditions: Item is within a limited access website |
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