Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja

Detalhes bibliográficos
Autor(a) principal: Vianna, Mariana Silva
Data de Publicação: 2017
Tipo de documento: Trabalho de conclusão de curso
Idioma: por
Título da fonte: Repositório Institucional da UFU
Texto Completo: https://repositorio.ufu.br/handle/123456789/21782
Resumo: Soybean has great economic importance in the world accordingly, this legume has been exploited in breeding programs aiming to provide cultivars with extensive grain yield, tolerant to pests and diseases, and adapted to different soil and climatic conditions. Therefore, the objectives of this work were to evaluate genetic parameters and correlations between soybean traits to select lineages in order to increase yield and improve agronomic traits. Experiments were carried out on the Capim Branco farm, of the Federal University of Uberlândia, harvest 2016/2017. Fifteen morph-agronomic traits were assessed on twenty-two genotypes in a randomized complete block design with three replicates. Agronomic traits related to cycle, height, number of nodes and total pods have shown coefficients of genotypic determination higher than 70%. In addition, coefficients of variation of number of days to the flowering and number of days to maturity were equal to 3.79% and 4.87%, respectively, indicating high homogeneity of data and low random variation. Among evaluated traits, ten have presented the ratios between the coefficient of genetic variation (CVg) and coefficient of environmental variation (CVe) above one, demonstrating high success likelihood in the selection to these traits. Fifteen genotypes have presented grain yield above the national average of 2016/2017 harvest, which was 2882 kg h-1. Significant phenotypic correlations between traits ranged from -0.49 to 0.89, however genotype correlation were higher than the phenotypic ones, indicating that genetic factors have contributed more than the environmental factors. Traits related to cycle, height and number of nodes in the main stem have presented measures of H² and CVg / CVe with extensive magnitudes, evidencing the possibility of selection lineages having superior traits in the Soybean Breeding Program of the Federal University of Uberlândia. In order to increasing grain yield, the traits Number of pods of three grains and Total number of pods were identified as appropriated to indirect selection based on the phenotypic and genotypic correlations. The 2lP14, B2P1, B2P28, B1P33 and 2AP11 lineages stand out as superior genotypes to direct selection.
id UFU_b516a189bb9b12b6a44dd6b8ae776d4b
oai_identifier_str oai:repositorio.ufu.br:123456789/21782
network_acronym_str UFU
network_name_str Repositório Institucional da UFU
repository_id_str
spelling Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em sojaSelection of lineages, genetic parameters and correlations between soybean charactersGlycine maxMelhoramentoSeleção IndiretaCNPQ::CIENCIAS AGRARIASSoybean has great economic importance in the world accordingly, this legume has been exploited in breeding programs aiming to provide cultivars with extensive grain yield, tolerant to pests and diseases, and adapted to different soil and climatic conditions. Therefore, the objectives of this work were to evaluate genetic parameters and correlations between soybean traits to select lineages in order to increase yield and improve agronomic traits. Experiments were carried out on the Capim Branco farm, of the Federal University of Uberlândia, harvest 2016/2017. Fifteen morph-agronomic traits were assessed on twenty-two genotypes in a randomized complete block design with three replicates. Agronomic traits related to cycle, height, number of nodes and total pods have shown coefficients of genotypic determination higher than 70%. In addition, coefficients of variation of number of days to the flowering and number of days to maturity were equal to 3.79% and 4.87%, respectively, indicating high homogeneity of data and low random variation. Among evaluated traits, ten have presented the ratios between the coefficient of genetic variation (CVg) and coefficient of environmental variation (CVe) above one, demonstrating high success likelihood in the selection to these traits. Fifteen genotypes have presented grain yield above the national average of 2016/2017 harvest, which was 2882 kg h-1. Significant phenotypic correlations between traits ranged from -0.49 to 0.89, however genotype correlation were higher than the phenotypic ones, indicating that genetic factors have contributed more than the environmental factors. Traits related to cycle, height and number of nodes in the main stem have presented measures of H² and CVg / CVe with extensive magnitudes, evidencing the possibility of selection lineages having superior traits in the Soybean Breeding Program of the Federal University of Uberlândia. In order to increasing grain yield, the traits Number of pods of three grains and Total number of pods were identified as appropriated to indirect selection based on the phenotypic and genotypic correlations. The 2lP14, B2P1, B2P28, B1P33 and 2AP11 lineages stand out as superior genotypes to direct selection.FAPEMIG - Fundação de Amparo a Pesquisa do Estado de Minas GeraisTrabalho de Conclusão de Curso (Graduação)Os objetivos desse trabalho foram selecionar linhagens avaliar, parâmetros genéticos e correlações entre caracteres de soja. O experimento foi conduzido na área experimental da Fazenda Capim Branco pertencente à Universidade Federal de Uberlândia na safra de 2016/2017. Avaliaram-se 22 genótipos em delineamento de blocos completos casualizados com três repetições para 15 caracteres morfo-agronômicos. Os caracteres agronômicos relacionados ao ciclo, altura, número de nós e vagens totais tiveram coeficiente de determinação genotípico superiores a 70%. 15 genótipos obtiveram produtividade de grãos superior à média nacional de safra 2016/2017, isto é, a 2882 kg/h-1. As correlações fenotípicas entre caracteres que foram significativas oscilaram de -0,49 a 0,89, cujas estimativas de correlação genotípica foram superiores à correlação fenotípica, indicando que os fatores genéticos contribuíram mais que os ambientais. Considerando o caráter produtividade de grãos, foi possível identificar número de vagens de três grãos e número total de vagens para a seleção indireta. As linhagens 2lP14, B2P1, B2P28, B1P33 e 2AP11 destacam-se como genótipos superiores na seleção direta.Universidade Federal de UberlândiaBrasilBiotecnologiaNogueira, Ana Paula Oliveirahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4702378U8Thaís, Bicalhohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4315160Y5Ferreira, Sílvia BarbosaVianna, Mariana Silva2018-07-10T12:27:45Z2018-07-10T12:27:45Z2017-05-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesisapplication/pdfVIANNA, Mariana Silva. Seleção de linhagens, parâmetros genéticos e correlações entre caracteres de soja. 2017. 44 p. Trabalho de Conclusão de Curso (Graduação em Biotecnologia) - Universidade Federal de Uberlândia, Uberlândia, 2017.https://repositorio.ufu.br/handle/123456789/21782porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFUinstname:Universidade Federal de Uberlândia (UFU)instacron:UFU2018-07-10T12:27:45Zoai:repositorio.ufu.br:123456789/21782Repositório InstitucionalONGhttp://repositorio.ufu.br/oai/requestdiinf@dirbi.ufu.bropendoar:2018-07-10T12:27:45Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
Selection of lineages, genetic parameters and correlations between soybean characters
title Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
spellingShingle Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
Vianna, Mariana Silva
Glycine max
Melhoramento
Seleção Indireta
CNPQ::CIENCIAS AGRARIAS
title_short Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
title_full Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
title_fullStr Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
title_full_unstemmed Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
title_sort Seleção de linhagens, parâmetros genéticos e correlações entre caracteres em soja
author Vianna, Mariana Silva
author_facet Vianna, Mariana Silva
author_role author
dc.contributor.none.fl_str_mv Nogueira, Ana Paula Oliveira
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4702378U8
Thaís, Bicalho
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4315160Y5
Ferreira, Sílvia Barbosa
dc.contributor.author.fl_str_mv Vianna, Mariana Silva
dc.subject.por.fl_str_mv Glycine max
Melhoramento
Seleção Indireta
CNPQ::CIENCIAS AGRARIAS
topic Glycine max
Melhoramento
Seleção Indireta
CNPQ::CIENCIAS AGRARIAS
description Soybean has great economic importance in the world accordingly, this legume has been exploited in breeding programs aiming to provide cultivars with extensive grain yield, tolerant to pests and diseases, and adapted to different soil and climatic conditions. Therefore, the objectives of this work were to evaluate genetic parameters and correlations between soybean traits to select lineages in order to increase yield and improve agronomic traits. Experiments were carried out on the Capim Branco farm, of the Federal University of Uberlândia, harvest 2016/2017. Fifteen morph-agronomic traits were assessed on twenty-two genotypes in a randomized complete block design with three replicates. Agronomic traits related to cycle, height, number of nodes and total pods have shown coefficients of genotypic determination higher than 70%. In addition, coefficients of variation of number of days to the flowering and number of days to maturity were equal to 3.79% and 4.87%, respectively, indicating high homogeneity of data and low random variation. Among evaluated traits, ten have presented the ratios between the coefficient of genetic variation (CVg) and coefficient of environmental variation (CVe) above one, demonstrating high success likelihood in the selection to these traits. Fifteen genotypes have presented grain yield above the national average of 2016/2017 harvest, which was 2882 kg h-1. Significant phenotypic correlations between traits ranged from -0.49 to 0.89, however genotype correlation were higher than the phenotypic ones, indicating that genetic factors have contributed more than the environmental factors. Traits related to cycle, height and number of nodes in the main stem have presented measures of H² and CVg / CVe with extensive magnitudes, evidencing the possibility of selection lineages having superior traits in the Soybean Breeding Program of the Federal University of Uberlândia. In order to increasing grain yield, the traits Number of pods of three grains and Total number of pods were identified as appropriated to indirect selection based on the phenotypic and genotypic correlations. The 2lP14, B2P1, B2P28, B1P33 and 2AP11 lineages stand out as superior genotypes to direct selection.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-15
2018-07-10T12:27:45Z
2018-07-10T12:27:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bachelorThesis
format bachelorThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv VIANNA, Mariana Silva. Seleção de linhagens, parâmetros genéticos e correlações entre caracteres de soja. 2017. 44 p. Trabalho de Conclusão de Curso (Graduação em Biotecnologia) - Universidade Federal de Uberlândia, Uberlândia, 2017.
https://repositorio.ufu.br/handle/123456789/21782
identifier_str_mv VIANNA, Mariana Silva. Seleção de linhagens, parâmetros genéticos e correlações entre caracteres de soja. 2017. 44 p. Trabalho de Conclusão de Curso (Graduação em Biotecnologia) - Universidade Federal de Uberlândia, Uberlândia, 2017.
url https://repositorio.ufu.br/handle/123456789/21782
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Biotecnologia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
Brasil
Biotecnologia
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFU
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Repositório Institucional da UFU
collection Repositório Institucional da UFU
repository.name.fl_str_mv Repositório Institucional da UFU - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv diinf@dirbi.ufu.br
_version_ 1813711306852663296