Genetic contributions to productivity and nutritional aspects in cassava crops
This study aimed to highlight the behavior of cassava cultivars when subjected to different densities and biostimulants at planting and to select superior cultivars based on nutritional and productive attributes using the multivariate approach. The experiment design used randomized blocks in a three...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_6617
- Fecha de publicación:
- 2022
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/17007
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090
https://repositorio.uptc.edu.co/handle/001/17007
- Palabra clave:
- Manihot esculenta Crantz
Heritability
MGIDI index
Density
Biostimulator
Cassava
Manihot esculenta Crantz
Heredabilidad
Índice MGIDI
Densidad
Bioestimulador
Yuca
- Rights
- License
- Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolas
id |
REPOUPTC2_3cd41c51362896487e9ff7fd15dc67ec |
---|---|
oai_identifier_str |
oai:repositorio.uptc.edu.co:001/17007 |
network_acronym_str |
REPOUPTC2 |
network_name_str |
RiUPTC: Repositorio Institucional UPTC |
repository_id_str |
|
dc.title.en-US.fl_str_mv |
Genetic contributions to productivity and nutritional aspects in cassava crops |
dc.title.es-ES.fl_str_mv |
Aportes genéticos a la productividad y aspectos nutricionales del cultivo de yuca |
title |
Genetic contributions to productivity and nutritional aspects in cassava crops |
spellingShingle |
Genetic contributions to productivity and nutritional aspects in cassava crops Manihot esculenta Crantz Heritability MGIDI index Density Biostimulator Cassava Manihot esculenta Crantz Heredabilidad Índice MGIDI Densidad Bioestimulador Yuca |
title_short |
Genetic contributions to productivity and nutritional aspects in cassava crops |
title_full |
Genetic contributions to productivity and nutritional aspects in cassava crops |
title_fullStr |
Genetic contributions to productivity and nutritional aspects in cassava crops |
title_full_unstemmed |
Genetic contributions to productivity and nutritional aspects in cassava crops |
title_sort |
Genetic contributions to productivity and nutritional aspects in cassava crops |
dc.subject.en-US.fl_str_mv |
Manihot esculenta Crantz Heritability MGIDI index Density Biostimulator Cassava |
topic |
Manihot esculenta Crantz Heritability MGIDI index Density Biostimulator Cassava Manihot esculenta Crantz Heredabilidad Índice MGIDI Densidad Bioestimulador Yuca |
dc.subject.es-ES.fl_str_mv |
Manihot esculenta Crantz Heredabilidad Índice MGIDI Densidad Bioestimulador Yuca |
description |
This study aimed to highlight the behavior of cassava cultivars when subjected to different densities and biostimulants at planting and to select superior cultivars based on nutritional and productive attributes using the multivariate approach. The experiment design used randomized blocks in a three-factor scheme, with three cassava cultivars (FEPAGRO-RS 13 Vassourinha, BRS CS01, Iapar - 19 Pioneira) × two planting densities (10 and 20 buds per linear meter) × two biostimulator forms (with and without) in three replications, totaling 36 experiment units. Cultivar BRS CS01 had the highest yield and concentration of mineral material, genotype FEPAGRO - RS 13 Vassourinha had the highest lipid content, and Iapar 19 - Pioneira had the highest protein concentrations. The starch content was tested with a comparison of means and MGIDI index. Cultivar FEPAGRO - RS 13 Vassourinha had the highest content and, according to the index, was the ideal cultivar based on multi-characteristics. Density 10 with the biostimulator was favorable for productivity and lipids, whereas density 10 without the biostimulator was favorable for starch, lipids, proteins and productivity. Density 20 with the biostimulator was favorable for lipids. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2024-07-08T14:42:55Z |
dc.date.available.none.fl_str_mv |
2024-07-08T14:42:55Z |
dc.date.none.fl_str_mv |
2022-05-01 |
dc.type.en-US.fl_str_mv |
Text |
dc.type.es-ES.fl_str_mv |
Texto |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6617 |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a201 |
format |
http://purl.org/coar/resource_type/c_6617 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090 10.17584/rcch.2022v16i2.14090 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/17007 |
url |
https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090 https://repositorio.uptc.edu.co/handle/001/17007 |
identifier_str_mv |
10.17584/rcch.2022v16i2.14090 |
dc.language.none.fl_str_mv |
eng |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090/11890 |
dc.rights.en-US.fl_str_mv |
Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolas http://creativecommons.org/licenses/by-nc-sa/4.0 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf118 |
rights_invalid_str_mv |
Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolas http://creativecommons.org/licenses/by-nc-sa/4.0 https://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf118 http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.en-US.fl_str_mv |
Brazil; Rio Grande do Sul; Augusto Pestana |
dc.coverage.es-ES.fl_str_mv |
Brasil; Rio Grande do Sul; Augusto Pestana |
dc.publisher.en-US.fl_str_mv |
Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC |
dc.source.en-US.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; Vol. 16 No. 2 (2022); e14090 |
dc.source.es-ES.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; Vol. 16 Núm. 2 (2022); e14090 |
dc.source.fr-FR.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; Vol. 16 No 2 (2022); e14090 |
dc.source.it-IT.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; V. 16 N. 2 (2022); e14090 |
dc.source.pt-BR.fl_str_mv |
Revista Colombiana de Ciencias Hortícolas; v. 16 n. 2 (2022); e14090 |
dc.source.none.fl_str_mv |
2422-3719 2011-2173 |
institution |
Universidad Pedagógica y Tecnológica de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional UPTC |
repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
_version_ |
1839633798031998976 |
spelling |
2022-05-012024-07-08T14:42:55Z2024-07-08T14:42:55Zhttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/1409010.17584/rcch.2022v16i2.14090https://repositorio.uptc.edu.co/handle/001/17007This study aimed to highlight the behavior of cassava cultivars when subjected to different densities and biostimulants at planting and to select superior cultivars based on nutritional and productive attributes using the multivariate approach. The experiment design used randomized blocks in a three-factor scheme, with three cassava cultivars (FEPAGRO-RS 13 Vassourinha, BRS CS01, Iapar - 19 Pioneira) × two planting densities (10 and 20 buds per linear meter) × two biostimulator forms (with and without) in three replications, totaling 36 experiment units. Cultivar BRS CS01 had the highest yield and concentration of mineral material, genotype FEPAGRO - RS 13 Vassourinha had the highest lipid content, and Iapar 19 - Pioneira had the highest protein concentrations. The starch content was tested with a comparison of means and MGIDI index. Cultivar FEPAGRO - RS 13 Vassourinha had the highest content and, according to the index, was the ideal cultivar based on multi-characteristics. Density 10 with the biostimulator was favorable for productivity and lipids, whereas density 10 without the biostimulator was favorable for starch, lipids, proteins and productivity. Density 20 with the biostimulator was favorable for lipids.El objetivo de este trabajo es resaltar el comportamiento de cultivares de yuca sometidos a diferentes densidades y bioestimulantes al momento de la siembra, y seleccionar cultivares superiores a través de atributos nutricionales y productivos basado en el enfoque multivariado. Se utilizó un diseño experimental de bloques al azar de tres factores y tres repeticiones: tres cultivares de yuca (FEPAGRO-RS 13 Vassourinha, BRS CS01, Iapar - 19 Pioneira), dos densidades de plantación (10 y 20 yemas por metro lineal) y bioestimulate (con y sin), en total 36 unidades experimentales. El cultivar BRS CS01 presentó el mayor rendimiento y concentración de material mineral; el genotipo FEPAGRO - RS 13 Vassourinha presentó el mayor contenido de lípidos y ‘Iapar 19 - Pioneira’ presentó las mayores concentraciones de proteína. El contenido de almidón fue evaluado por la prueba de comparación de medias e índice MGIDI. El cultivar FEPAGRO - RS 13 Vassourinha mostró superioridad, además de ser considerado por el índice ideal por el multi-variado. La densidad 10 y bioestimulador se caracterizó como favorable para la productividad y lípidos, mientras que la densidad 10 y sin bioestimulador favorable para almidón, lípidos, proteína y productividad. La densidad 20 con bioestimulador fue favorable para lípidos.application/pdfengengSociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTChttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090/11890Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolashttp://creativecommons.org/licenses/by-nc-sa/4.0https://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf118http://purl.org/coar/access_right/c_abf2Revista Colombiana de Ciencias Hortícolas; Vol. 16 No. 2 (2022); e14090Revista Colombiana de Ciencias Hortícolas; Vol. 16 Núm. 2 (2022); e14090Revista Colombiana de Ciencias Hortícolas; Vol. 16 No 2 (2022); e14090Revista Colombiana de Ciencias Hortícolas; V. 16 N. 2 (2022); e14090Revista Colombiana de Ciencias Hortícolas; v. 16 n. 2 (2022); e140902422-37192011-2173Manihot esculenta CrantzHeritabilityMGIDI indexDensityBiostimulatorCassavaManihot esculenta CrantzHeredabilidadÍndice MGIDIDensidadBioestimuladorYucaGenetic contributions to productivity and nutritional aspects in cassava cropsAportes genéticos a la productividad y aspectos nutricionales del cultivo de yucaTextTextoinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6617http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a201http://purl.org/coar/version/c_970fb48d4fbd8a85Brazil; Rio Grande do Sul; Augusto PestanaBrasil; Rio Grande do Sul; Augusto PestanaBester, Adriano UdichCarvalho, Ivan RicardoLoro, Murilo VieiraRamos, Adriano HirschSfalcin, Inaê CarolinaSilva, José Antonio Gonzalez daFoguesatto, Felipe da RosaFoguesatto, Marcos Vinícius Uhde001/17007oai:repositorio.uptc.edu.co:001/170072025-07-18 11:48:58.39https://creativecommons.org/licenses/by-nc/4.0/metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |