Genetic divergence of cassava genotypes from Petrolina

Detalhes bibliográficos
Autor(a) principal: Santos, André Luiz Pinto dos
Data de Publicação: 2023
Outros Autores: Moreira, Guilherme Rocha, Gomes, Diego Alves, Figueiredo, Marcela Portela Santos de, Costa, Maria Lindomárcia Leonardo da, Cunha Filho, Moacyr, Saliba, Eloísa de Oliveira Simões, Albuquerque, Cristiane Rocha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Animal Sciences (Online)
Texto Completo: https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/58051
Resumo: This study aimed to evaluate cassava genotypes to identify the ones with the best nutritional values for ruminant diets. Nine genotypes were used: Amansa Burro (BGM 549), Aramaris (BGM 116), Brasília, Cambadinha (BRS Guaíra), Curvelinha, Engana Ladrão (BGM 1269), Trouxinha (BGM 1468), BRS Gema de Ovo, and BRS Dourada. A completely randomized block experimental design with nine treatments (genotypes) and three blocks (replicates) were employed. The roots were analyzed for dry matter production (DMP) in tonnes per hectare, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), starch, and in vitro dry matter digestibility (IVDMD). The multivariate analysis was carried out using Ward’s hierarchical agglomerative clustering based on Mahalanobis distance. The groups formed were evaluated by Scott-Knott test. The group formed by genotype Engana Ladrão was chosen as the best one for having the highest DMP t ha-1 and IVDMD values and the lowest NDF and ADF contents.
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spelling Genetic divergence of cassava genotypes from Petrolina Genetic divergence of cassava genotypes from Petrolina genetic dissimilarity; Manihot esculenta; Ward’s method.genetic dissimilarity; Manihot esculenta; Ward’s method.This study aimed to evaluate cassava genotypes to identify the ones with the best nutritional values for ruminant diets. Nine genotypes were used: Amansa Burro (BGM 549), Aramaris (BGM 116), Brasília, Cambadinha (BRS Guaíra), Curvelinha, Engana Ladrão (BGM 1269), Trouxinha (BGM 1468), BRS Gema de Ovo, and BRS Dourada. A completely randomized block experimental design with nine treatments (genotypes) and three blocks (replicates) were employed. The roots were analyzed for dry matter production (DMP) in tonnes per hectare, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), starch, and in vitro dry matter digestibility (IVDMD). The multivariate analysis was carried out using Ward’s hierarchical agglomerative clustering based on Mahalanobis distance. The groups formed were evaluated by Scott-Knott test. The group formed by genotype Engana Ladrão was chosen as the best one for having the highest DMP t ha-1 and IVDMD values and the lowest NDF and ADF contents.This study aimed to evaluate cassava genotypes to identify the ones with the best nutritional values for ruminant diets. Nine genotypes were used: Amansa Burro (BGM 549), Aramaris (BGM 116), Brasília, Cambadinha (BRS Guaíra), Curvelinha, Engana Ladrão (BGM 1269), Trouxinha (BGM 1468), BRS Gema de Ovo, and BRS Dourada. A completely randomized block experimental design with nine treatments (genotypes) and three blocks (replicates) were employed. The roots were analyzed for dry matter production (DMP) in tonnes per hectare, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), starch, and in vitro dry matter digestibility (IVDMD). The multivariate analysis was carried out using Ward’s hierarchical agglomerative clustering based on Mahalanobis distance. The groups formed were evaluated by Scott-Knott test. The group formed by genotype Engana Ladrão was chosen as the best one for having the highest DMP t ha-1 and IVDMD values and the lowest NDF and ADF contents.Editora da Universidade Estadual de Maringá2023-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/5805110.4025/actascianimsci.v45i1.58051Acta Scientiarum. Animal Sciences; Vol 45 (2023): Publicação contínua; e58051Acta Scientiarum. Animal Sciences; v. 45 (2023): Publicação contínua; e580511807-86721806-2636reponame:Acta Scientiarum. Animal Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/58051/751375155588Copyright (c) 2023 Acta Scientiarum. Animal Scienceshttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, André Luiz Pinto dos Moreira, Guilherme Rocha Gomes, Diego Alves Figueiredo, Marcela Portela Santos de Costa, Maria Lindomárcia Leonardo da Cunha Filho, MoacyrSaliba, Eloísa de Oliveira Simões Albuquerque, Cristiane Rocha 2023-05-16T12:09:23Zoai:periodicos.uem.br/ojs:article/58051Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSciPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/oaiactaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com1807-86721806-2636opendoar:2023-05-16T12:09:23Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Genetic divergence of cassava genotypes from Petrolina
Genetic divergence of cassava genotypes from Petrolina
title Genetic divergence of cassava genotypes from Petrolina
spellingShingle Genetic divergence of cassava genotypes from Petrolina
Santos, André Luiz Pinto dos
genetic dissimilarity; Manihot esculenta; Ward’s method.
genetic dissimilarity; Manihot esculenta; Ward’s method.
title_short Genetic divergence of cassava genotypes from Petrolina
title_full Genetic divergence of cassava genotypes from Petrolina
title_fullStr Genetic divergence of cassava genotypes from Petrolina
title_full_unstemmed Genetic divergence of cassava genotypes from Petrolina
title_sort Genetic divergence of cassava genotypes from Petrolina
author Santos, André Luiz Pinto dos
author_facet Santos, André Luiz Pinto dos
Moreira, Guilherme Rocha
Gomes, Diego Alves
Figueiredo, Marcela Portela Santos de
Costa, Maria Lindomárcia Leonardo da
Cunha Filho, Moacyr
Saliba, Eloísa de Oliveira Simões
Albuquerque, Cristiane Rocha
author_role author
author2 Moreira, Guilherme Rocha
Gomes, Diego Alves
Figueiredo, Marcela Portela Santos de
Costa, Maria Lindomárcia Leonardo da
Cunha Filho, Moacyr
Saliba, Eloísa de Oliveira Simões
Albuquerque, Cristiane Rocha
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, André Luiz Pinto dos
Moreira, Guilherme Rocha
Gomes, Diego Alves
Figueiredo, Marcela Portela Santos de
Costa, Maria Lindomárcia Leonardo da
Cunha Filho, Moacyr
Saliba, Eloísa de Oliveira Simões
Albuquerque, Cristiane Rocha
dc.subject.por.fl_str_mv genetic dissimilarity; Manihot esculenta; Ward’s method.
genetic dissimilarity; Manihot esculenta; Ward’s method.
topic genetic dissimilarity; Manihot esculenta; Ward’s method.
genetic dissimilarity; Manihot esculenta; Ward’s method.
description This study aimed to evaluate cassava genotypes to identify the ones with the best nutritional values for ruminant diets. Nine genotypes were used: Amansa Burro (BGM 549), Aramaris (BGM 116), Brasília, Cambadinha (BRS Guaíra), Curvelinha, Engana Ladrão (BGM 1269), Trouxinha (BGM 1468), BRS Gema de Ovo, and BRS Dourada. A completely randomized block experimental design with nine treatments (genotypes) and three blocks (replicates) were employed. The roots were analyzed for dry matter production (DMP) in tonnes per hectare, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), starch, and in vitro dry matter digestibility (IVDMD). The multivariate analysis was carried out using Ward’s hierarchical agglomerative clustering based on Mahalanobis distance. The groups formed were evaluated by Scott-Knott test. The group formed by genotype Engana Ladrão was chosen as the best one for having the highest DMP t ha-1 and IVDMD values and the lowest NDF and ADF contents.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/58051
10.4025/actascianimsci.v45i1.58051
url https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/58051
identifier_str_mv 10.4025/actascianimsci.v45i1.58051
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/58051/751375155588
dc.rights.driver.fl_str_mv Copyright (c) 2023 Acta Scientiarum. Animal Sciences
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Acta Scientiarum. Animal Sciences
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da Universidade Estadual de Maringá
publisher.none.fl_str_mv Editora da Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Animal Sciences; Vol 45 (2023): Publicação contínua; e58051
Acta Scientiarum. Animal Sciences; v. 45 (2023): Publicação contínua; e58051
1807-8672
1806-2636
reponame:Acta Scientiarum. Animal Sciences (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Animal Sciences (Online)
collection Acta Scientiarum. Animal Sciences (Online)
repository.name.fl_str_mv Acta Scientiarum. Animal Sciences (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaanim@uem.br||actaanim@uem.br|| rev.acta@gmail.com
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