Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce
When obtaining new cultivars or monitoring the nutritional composition of lettuce, new techniques are necessary given the high cost and time required to conduct laboratory analyses of plant composition by conventional methods. The objective of this study was to evaluate different vegetation indices...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/13/5/1403 |
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| author | Andressa Alves Clemente Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Rodrigo Bezerra de Araujo Gallis José Magno Queiroz Luz Fernando César Sala Lucas Medeiros Pereira Rickey Yoshio Yada |
| author_facet | Andressa Alves Clemente Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Rodrigo Bezerra de Araujo Gallis José Magno Queiroz Luz Fernando César Sala Lucas Medeiros Pereira Rickey Yoshio Yada |
| author_sort | Andressa Alves Clemente |
| collection | DOAJ |
| description | When obtaining new cultivars or monitoring the nutritional composition of lettuce, new techniques are necessary given the high cost and time required to conduct laboratory analyses of plant composition by conventional methods. The objective of this study was to evaluate different vegetation indices for the estimation of anthocyanin, chlorophyll, and carotenoids in mini-lettuce genotypes with different leaf colors and different typologies from red, green, and blue (RGB) images. The contents of pigments were evaluated in 15 lettuce genotypes, in addition to the soil plant analysis development (SPAD) index and vegetation indices in the visible range. The variability among genotypes was confirmed by the Scott-Knott test (<i>p</i> < 0.05) and multivariate analysis. Linear regressions were obtained between the green leaf index (GLI) and leaf pigments. GLI was a good predictor for estimating the contents of anthocyanin (r = −0.83; r<sup>2</sup> = 0.75), carotenoid (r = −0.59; r<sup>2</sup> = 0.43), chlorophyll a (r = −0.69; r<sup>2</sup> = 0.48), chlorophyll b (r = −0.62; r<sup>2</sup> = 0.39), and total chlorophyll (r = −0.77; r<sup>2</sup> = 0.65) in red and green mini-lettuce. The high-performance phenotyping technique can be used to evaluate leaf pigments in breeding programs, as well as in crops for monitoring biofortification levels in lettuce. |
| first_indexed | 2024-03-11T04:00:32Z |
| format | Article |
| id | doaj.art-52ce85d2e85c4fd193b76cabd8134b02 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-11T04:00:32Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-52ce85d2e85c4fd193b76cabd8134b022023-11-18T00:07:48ZengMDPI AGAgronomy2073-43952023-05-01135140310.3390/agronomy13051403Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-LettuceAndressa Alves Clemente0Gabriel Mascarenhas Maciel1Ana Carolina Silva Siquieroli2Rodrigo Bezerra de Araujo Gallis3José Magno Queiroz Luz4Fernando César Sala5Lucas Medeiros Pereira6Rickey Yoshio Yada7Postgraduate Program in Agriculture and Geospatial Information, Institute of Agrarian Sciences, Federal University of Uberlândia, Monte Carmelo 38500-000, BrazilInstitute of Agrarian Sciences, Federal University of Uberlândia, Monte Carmelo 38500-000, BrazilInstitute of Biotechnology, Federal University of Uberlândia, Monte Carmelo 38500-000, BrazilInstitute of Geography, Federal University of Uberlândia, Monte Carmelo 38500-000, BrazilInstitute of Agrarian Sciences, Federal University of Uberlândia, Uberlândia 38410-337, BrazilCenter of Agrarian Sciences, Federal University of São Carlos, Araras 13604-900, BrazilPostgraduate Program in Agriculture and Geospatial Information, Institute of Agrarian Sciences, Federal University of Uberlândia, Monte Carmelo 38500-000, BrazilFaculty of Land and Food Systems, University of British Columbia, Vancouver, BC V6T 1Z4, CanadaWhen obtaining new cultivars or monitoring the nutritional composition of lettuce, new techniques are necessary given the high cost and time required to conduct laboratory analyses of plant composition by conventional methods. The objective of this study was to evaluate different vegetation indices for the estimation of anthocyanin, chlorophyll, and carotenoids in mini-lettuce genotypes with different leaf colors and different typologies from red, green, and blue (RGB) images. The contents of pigments were evaluated in 15 lettuce genotypes, in addition to the soil plant analysis development (SPAD) index and vegetation indices in the visible range. The variability among genotypes was confirmed by the Scott-Knott test (<i>p</i> < 0.05) and multivariate analysis. Linear regressions were obtained between the green leaf index (GLI) and leaf pigments. GLI was a good predictor for estimating the contents of anthocyanin (r = −0.83; r<sup>2</sup> = 0.75), carotenoid (r = −0.59; r<sup>2</sup> = 0.43), chlorophyll a (r = −0.69; r<sup>2</sup> = 0.48), chlorophyll b (r = −0.62; r<sup>2</sup> = 0.39), and total chlorophyll (r = −0.77; r<sup>2</sup> = 0.65) in red and green mini-lettuce. The high-performance phenotyping technique can be used to evaluate leaf pigments in breeding programs, as well as in crops for monitoring biofortification levels in lettuce.https://www.mdpi.com/2073-4395/13/5/1403<i>Lactuca sativa</i> L.biofortified foodsgenetic enhancementindirect methodnutritionRGB image |
| spellingShingle | Andressa Alves Clemente Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Rodrigo Bezerra de Araujo Gallis José Magno Queiroz Luz Fernando César Sala Lucas Medeiros Pereira Rickey Yoshio Yada Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce Agronomy <i>Lactuca sativa</i> L. biofortified foods genetic enhancement indirect method nutrition RGB image |
| title | Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce |
| title_full | Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce |
| title_fullStr | Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce |
| title_full_unstemmed | Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce |
| title_short | Nutritional Characterization Based on Vegetation Indices to Detect Anthocyanins, Carotenoids, and Chlorophylls in Mini-Lettuce |
| title_sort | nutritional characterization based on vegetation indices to detect anthocyanins carotenoids and chlorophylls in mini lettuce |
| topic | <i>Lactuca sativa</i> L. biofortified foods genetic enhancement indirect method nutrition RGB image |
| url | https://www.mdpi.com/2073-4395/13/5/1403 |
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