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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| Format: | Article |
| Language: | English |
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Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo
2020-06-01
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| Series: | Revista de la Facultad de Ciencias Agrarias |
| Subjects: | |
| Online Access: | https://revistas.uncu.edu.ar/ojs/index.php/RFCA/article/view/3055 |
| _version_ | 1827878670027456512 |
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| author | María Andrea Espósito Ileana Gatti Carolina Julieta Bermejo Enrique Luis Cointry |
| author_facet | María Andrea Espósito Ileana Gatti Carolina Julieta Bermejo Enrique Luis Cointry |
| author_sort | María Andrea Espósito |
| collection | DOAJ |
| 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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| first_indexed | 2024-03-12T17:55:50Z |
| format | Article |
| id | doaj.art-c3e0635521d947b1be3e42f77e585d95 |
| institution | Directory Open Access Journal |
| issn | 0370-4661 1853-8665 |
| language | English |
| last_indexed | 2024-03-12T17:55:50Z |
| publishDate | 2020-06-01 |
| publisher | Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo |
| record_format | Article |
| series | Revista de la Facultad de Ciencias Agrarias |
| spelling | doaj.art-c3e0635521d947b1be3e42f77e585d952023-08-02T17:57:06ZengFacultad 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/ojs/index.php/RFCA/article/view/3055lentildigital phenotypingmorphological characterization |
| 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 |
| title | 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_short | 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 |
| topic | lentil digital phenotyping morphological characterization |
| url | https://revistas.uncu.edu.ar/ojs/index.php/RFCA/article/view/3055 |
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