Phenotyping in Green Lettuce Populations Through Multispectral Imaging

Jordhanna Marilia Silva (), Ana Carolina Pires Jacinto, Ana Luisa Alves Ribeiro, Isadora Rodrigues Damascena, Livia Monteiro Ballador, Paulo Henrique Lacerra, Pablo Forlan Vargas, George Deroco Martins and Renata Castoldi
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Jordhanna Marilia Silva: Institute of Agricultural Sciences, Federal University of Uberlândia, BR 050 Km 78, Uberlândia 38410-337, MG, Brazil
Ana Carolina Pires Jacinto: Institute of Agricultural Sciences, Federal University of Uberlândia, BR 050 Km 78, Uberlândia 38410-337, MG, Brazil
Ana Luisa Alves Ribeiro: Institute of Agricultural Sciences, Federal University of Uberlândia, BR 050 Km 78, Uberlândia 38410-337, MG, Brazil
Isadora Rodrigues Damascena: Institute of Agricultural Sciences, Federal University of Uberlândia, Araras Unit—LMG Highway 746 Km 01, Monte Carmelo 38500-000, MG, Brazil
Livia Monteiro Ballador: Institute of Agricultural Sciences, Federal University of Uberlândia, Araras Unit—LMG Highway 746 Km 01, Monte Carmelo 38500-000, MG, Brazil
Paulo Henrique Lacerra: Institute of Agricultural Sciences, Federal University of Uberlândia, Araras Unit—LMG Highway 746 Km 01, Monte Carmelo 38500-000, MG, Brazil
Pablo Forlan Vargas: Department of Agronomy and Natural Resources, São Paulo State University, Nelson Brihi Badur Avenue, 430—Vila Tupy, Registro—SP, Registro 11900-000, SP, Brazil
George Deroco Martins: Institute of Agricultural Sciences, Federal University of Uberlândia, Araras Unit—LMG Highway 746 Km 01, Monte Carmelo 38500-000, MG, Brazil
Renata Castoldi: Institute of Agricultural Sciences, Federal University of Uberlândia, Araras Unit—LMG Highway 746 Km 01, Monte Carmelo 38500-000, MG, Brazil

Agriculture, 2025, vol. 15, issue 12, 1-21

Abstract: Lettuce ( Lactuca sativa ) is the most consumed leafy vegetable in the world, with great economic and social importance in Brazil. In breeding programs, selecting genotypes with high agronomic potential is essential to meet market demands and cultivation conditions. In this context, plant phenotyping by means of multispectral imaging emerges as a modern, efficient and non-destructive tool, which enhances the analysis of phenotypic characteristics quickly and accurately. Therefore, the aim of the present study was to group different lettuce situations according to their group using image-based phenotyping, in addition to morphological descriptors and agronomic evaluations. The experiment was carried out in an experimental area of the Federal University of Uberlândia, Campus of Monte Carmelo, MG, Brazil, in randomized blocks with three replicates and 17 treatments (lettuce populations of the F 2 generation, resulting from the cross between different lettuce cultivars and/or lines). Morphological descriptors and agronomic characteristics were obtained in the field. The vegetation indices GLI, NDVI, GNDVI, NGRDI and NDRE were calculated from images acquired at 49 days after transplanting. Means were compared using the Scott–Knott test ( p ≤ 0.05), and the results were presented in box plots. Genetic dissimilarity was confirmed by multivariate analysis, which resulted in a cophenetic correlation coefficient of 96.11%. In addition, validation between field-collected data and image-obtained data was performed using heat maps and Pearson’s correlation. Populations UFU 003, UFU 006, UFU 009, UFU 011, UFU 012, UFU 013, UFU 014, UFU 016 and UFU 017 stood out, with high agronomic potential. Image-based phenotyping was correlated with agronomic traits and, therefore, can be considered an alternative to grouping different lettuce populations.

Keywords: Lactuca sativa; genotypes; image-based phenotyping (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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