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; also y...
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2020
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I11-R107article-30552020-07-03T12:08:00Z Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping Espósito, María Andrea Gatti, Ileana Bermejo, Carolina Julieta Cointry, Enrique Luis lenteja fenotipado digital caracterización morfológica lentil digital phenotyping morphological characterization 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. 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. Facultad de Ciencias Agrarias-UNCuyo 2020-06-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 52 No. 1 (2020): January-June; 1-13 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 52 Núm. 1 (2020): Enero-Junio; 1-13 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055/2216 https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055/2605 |
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Revistas en línea |
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institution_str |
I-11 |
repository_str |
R-107 |
language |
eng |
format |
Online |
author |
Espósito, María Andrea Gatti, Ileana Bermejo, Carolina Julieta Cointry, Enrique Luis |
spellingShingle |
Espósito, María Andrea Gatti, Ileana Bermejo, Carolina Julieta Cointry, Enrique Luis Evaluation of a lentil collection (Lens culinaris Medik) using morphological traits and digital phenotyping lenteja fenotipado digital caracterización morfológica lentil digital phenotyping morphological characterization |
author_facet |
Espósito, María Andrea Gatti, Ileana Bermejo, Carolina Julieta Cointry, Enrique Luis |
author_sort |
Espósito, María Andrea |
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 |
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.
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publisher |
Facultad de Ciencias Agrarias-UNCuyo |
publishDate |
2020 |
url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3055 |
topic |
lenteja fenotipado digital caracterización morfológica lentil digital phenotyping morphological characterization |
topic_facet |
lenteja fenotipado digital caracterización morfológica lentil digital phenotyping morphological characterization |
work_keys_str_mv |
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_version_ |
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