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...

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Main Authors: Bester, Adriano Udich, Carvalho, Ivan Ricardo, Loro, Murilo Vieira, Ramos, Adriano Hirsch, Sfalcin, Inaê Carolina, Silva, José Antonio Gonzalez da, Foguesatto, Felipe da Rosa, Foguesatto, Marcos Vinícius Uhde
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Language:eng
Published: Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2022
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Online Access:https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090
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author Bester, Adriano Udich
Carvalho, Ivan Ricardo
Loro, Murilo Vieira
Ramos, Adriano Hirsch
Sfalcin, Inaê Carolina
Silva, José Antonio Gonzalez da
Foguesatto, Felipe da Rosa
Foguesatto, Marcos Vinícius Uhde
author_facet Bester, Adriano Udich
Carvalho, Ivan Ricardo
Loro, Murilo Vieira
Ramos, Adriano Hirsch
Sfalcin, Inaê Carolina
Silva, José Antonio Gonzalez da
Foguesatto, Felipe da Rosa
Foguesatto, Marcos Vinícius Uhde
author_sort Bester, Adriano Udich
collection OJS
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.
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spelling oai:oai.revistas.uptc.edu.co:article-140902022-11-10T15:23:11Z Genetic contributions to productivity and nutritional aspects in cassava crops Aportes genéticos a la productividad y aspectos nutricionales del cultivo de yuca Bester, Adriano Udich Carvalho, Ivan Ricardo Loro, Murilo Vieira Ramos, Adriano Hirsch Sfalcin, Inaê Carolina Silva, José Antonio Gonzalez da Foguesatto, Felipe da Rosa Foguesatto, Marcos Vinícius Uhde Manihot esculenta Crantz Heritability MGIDI index Density Biostimulator Cassava Manihot esculenta Crantz Heredabilidad Índice MGIDI Densidad Bioestimulador Yuca 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. 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. Sociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTC 2022-05-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text Texto application/pdf https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090 10.17584/rcch.2022v16i2.14090 Revista Colombiana de Ciencias Hortícolas; Vol. 16 No. 2 (2022); e14090 Revista Colombiana de Ciencias Hortícolas; Vol. 16 Núm. 2 (2022); e14090 Revista Colombiana de Ciencias Hortícolas; Vol. 16 No 2 (2022); e14090 Revista Colombiana de Ciencias Hortícolas; V. 16 N. 2 (2022); e14090 Revista Colombiana de Ciencias Hortícolas; v. 16 n. 2 (2022); e14090 2422-3719 2011-2173 eng https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090/11890 Brazil; Rio Grande do Sul; Augusto Pestana Brasil; Rio Grande do Sul; Augusto Pestana Copyright (c) 2022 Revista Colombiana de Ciencias Hortícolas http://creativecommons.org/licenses/by-nc-sa/4.0
spellingShingle Manihot esculenta Crantz
Heritability
MGIDI index
Density
Biostimulator
Cassava
Manihot esculenta Crantz
Heredabilidad
Índice MGIDI
Densidad
Bioestimulador
Yuca
Bester, Adriano Udich
Carvalho, Ivan Ricardo
Loro, Murilo Vieira
Ramos, Adriano Hirsch
Sfalcin, Inaê Carolina
Silva, José Antonio Gonzalez da
Foguesatto, Felipe da Rosa
Foguesatto, Marcos Vinícius Uhde
Genetic contributions to productivity and nutritional aspects in cassava crops
title Genetic contributions to productivity and nutritional aspects in cassava crops
title_alt Aportes genéticos a la productividad y aspectos nutricionales del cultivo de yuca
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_short Genetic contributions to productivity and nutritional aspects in cassava crops
title_sort genetic contributions to productivity and nutritional aspects in cassava crops
topic Manihot esculenta Crantz
Heritability
MGIDI index
Density
Biostimulator
Cassava
Manihot esculenta Crantz
Heredabilidad
Índice MGIDI
Densidad
Bioestimulador
Yuca
topic_facet Manihot esculenta Crantz
Heritability
MGIDI index
Density
Biostimulator
Cassava
Manihot esculenta Crantz
Heredabilidad
Índice MGIDI
Densidad
Bioestimulador
Yuca
url https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/14090
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