Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping

The objective of this work was to evaluate 81 lentil cultivars using morphological traits and seed characteristics using digital phenotyping. Caliber (C) and the color traits luminosity (L), color coordinates a and b, and color index (CI) were measured and analyzed with appropriate software; al...

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Main Authors: María Andrea Espósito, Ileana Gatti, Carolina Julieta Bermejo, Enrique Luis Cointry
Format: Article
Language:English
Published: Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo 2020-06-01
Series:Revista de la Facultad de Ciencias Agrarias
Subjects:
Online Access:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055
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spelling doaj-dd06e07e81594395b761e477db2c20af2021-04-30T11:55:43ZengFacultad de Ciencias Agrarias. Universidad Nacional de CuyoRevista de la Facultad de Ciencias Agrarias0370-46611853-86652020-06-01521Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotypingMaría Andrea Espósito0 Ileana Gatti1Carolina Julieta Bermejo2 Enrique Luis Cointry3Universidad Nacional de Rosario. Facultad Ciencias Agrarias. Cátedra Mejoramiento Vegetal y Producción de Semillas. IICAR-CONICET. Campo Experimental. Villarino s/n. Zavalla. C.C. 14 (S2125ZAA). Universidad Nacional de Rosario. Facultad Ciencias Agrarias. Cátedra Mejoramiento Vegetal y Producción de Semillas. IICAR-CONICET. Campo Experimental. Villarino s/n. Zavalla. C.C. 14 (S2125ZAA).Universidad Nacional de Rosario. Facultad Ciencias Agrarias. Cátedra Mejoramiento Vegetal y Producción de Semillas. IICAR-CONICET. Campo Experimental. Villarino s/n. Zavalla. C.C. 14 (S2125ZAA). 2 Universidad Nacional de Rosario. Facultad Ciencias Agrarias. Cátedra Mejoramiento Vegetal y Producción de Semillas. IICAR-CONICET. Campo Experimental. Villarino s/n. Zavalla. C.C. 14 (S2125ZAA). The objective of this work was to evaluate 81 lentil cultivars using morphological traits and seed characteristics using digital phenotyping. Caliber (C) and the color traits luminosity (L), color coordinates a and b, and color index (CI) were measured and analyzed with appropriate software; also yield (Y), plant height (PH) and days to flowering (DF) were measured. Highly significant differences between cultivars were present for all traits and high heritability in broad sense heritability (H2B) for C (97%), CI (94%), a (93%) and L and b (83%) were found, indicating high genetic variability for these traits. Digital phenotyping showed to be a powerful tool for germplasm characterization along with field evaluation of agronomical traits. Principal Component Analysis and Cluster Analysis allows de identification of differentiated groups of cultivars with similar characteristics, leading to a more efficient use of the germplasm available as commercial cultivars or as parents in a breeding program. Among these groups, group 1 had 32 cultivars with highest C and group 2 had 21 cultivars with higher Y. Highlights Digital phenotyping showed to be a powerful tool for germplasm characterization along with field evaluation of agronomical traits. Principal Component Analysis and Cluster Analysis allows the identification of differentiated groups of cultivars with similar characteristics. Cultivar groups with similar characteristics allow more efficient use of germplasm. https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055lentildigital phenotypingmorphological characterization
collection DOAJ
language English
format Article
sources DOAJ
author María Andrea Espósito
Ileana Gatti
Carolina Julieta Bermejo
Enrique Luis Cointry
spellingShingle María Andrea Espósito
Ileana Gatti
Carolina Julieta Bermejo
Enrique Luis Cointry
Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
Revista de la Facultad de Ciencias Agrarias
lentil
digital phenotyping
morphological characterization
author_facet María Andrea Espósito
Ileana Gatti
Carolina Julieta Bermejo
Enrique Luis Cointry
author_sort María Andrea Espósito
title Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
title_short Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
title_full Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
title_fullStr Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
title_full_unstemmed Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping
title_sort evaluation of a lentil collection (lens culinaris medik) using morphological traits and digital phenotyping
publisher Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo
series Revista de la Facultad de Ciencias Agrarias
issn 0370-4661
1853-8665
publishDate 2020-06-01
description The objective of this work was to evaluate 81 lentil cultivars using morphological traits and seed characteristics using digital phenotyping. Caliber (C) and the color traits luminosity (L), color coordinates a and b, and color index (CI) were measured and analyzed with appropriate software; also yield (Y), plant height (PH) and days to flowering (DF) were measured. Highly significant differences between cultivars were present for all traits and high heritability in broad sense heritability (H2B) for C (97%), CI (94%), a (93%) and L and b (83%) were found, indicating high genetic variability for these traits. Digital phenotyping showed to be a powerful tool for germplasm characterization along with field evaluation of agronomical traits. Principal Component Analysis and Cluster Analysis allows de identification of differentiated groups of cultivars with similar characteristics, leading to a more efficient use of the germplasm available as commercial cultivars or as parents in a breeding program. Among these groups, group 1 had 32 cultivars with highest C and group 2 had 21 cultivars with higher Y. Highlights Digital phenotyping showed to be a powerful tool for germplasm characterization along with field evaluation of agronomical traits. Principal Component Analysis and Cluster Analysis allows the identification of differentiated groups of cultivars with similar characteristics. Cultivar groups with similar characteristics allow more efficient use of germplasm.
topic lentil
digital phenotyping
morphological characterization
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055
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