Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra

Detalhes bibliográficos
Autor(a) principal: Gomes, Rodrigo
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UNICENTRO
Texto Completo: http://tede.unicentro.br:8080/jspui/handle/jspui/1626
Resumo: The growth of corn production in the second season, which currently corresponds to about 70% of the area sown in Brazil, has driven the market change and led to the increase in demand for hybrids adapted to the reality of the environments, imposing changes in strategies in the production programs. improvement. The objectives of this work were to evaluate and identify promising progenies for the generation of new hybrids with high productive potential in second crop environments. Thirty-three inbred lines from different heterotic groups were evaluated in topcross crosses with two elite testers (one adapted to summer environments and one adapted to second crop conditions), totaling 66 topcross hybrids. The grain yield data (kg ha-1) were obtained at 9 locations in the second harvest period, six in Paraná (1-Toledo, 2-Palotina, 3-Assis Chateaubriand, 4-Campo Mourão, 5-Sertanópolis and 6-São Jorge do Ivaí) and three in Mato Grosso do Sul (7-Caarapó, 8-Itaporã and 9-Douradina), in 2017. An analysis of variance and partial diallel (lines vs. testers) was performed. Genotype stability was evaluated by the methodologies of Schmidt and Cruz (2005) and AMMI (ZOBEL et al.,1988) GGE biplot analysis. There was a significant effect of genotypes (with average yield of 8,650 kg ha-1), environments and GE interaction. The highest average yield was recorded in environment 6 (10,180 kg ha-1), and the lowest average was in environment 4 (6,880 kg ha1). The heritability of grain yield of hybrids with tester 2 was greater than 50% in environments 2, 3, 6, 7, 8 and 9, with emphasis on environment 9, where heritability was 90.27%. There was no significant difference for testers' CGC, but there was significant difference for progeny GCA, as well as specific combining ability (SCA). There was a significant effect of the environments, as well as the interactions topcrosses x environments, GCA testers x environments, GCA progenies x environments and SCA x environments. Tester 1 (summer) positively contributed to CGC in environments 6, 7, 8, and 9. Tester 2 (second crop) positively contributed to CGC in environments 1, 2, 3, 4, and 5, where hybrids with this tester also had higher averages than tester 1. Progenies 21, 22, 31, and 32 had the most favorable CGC estimates in most environments. Among the topcross hybrids, which responded with higher average yields in the evaluation environments, HS045, HS065, HS066 and HS055 stood out, among which HS045 and HS066 were the most stable.
id UCEN_ed862ba33311ba26b0c20e70464461fd
oai_identifier_str oai:localhost:jspui/1626
network_acronym_str UCEN
network_name_str Biblioteca Digital de Teses e Dissertações do UNICENTRO
repository_id_str
spelling Faria, Marcos Venturahttp://lattes.cnpq.br/0413552050308341Gomes, Rodrigo2021-05-14T12:27:52Z2019-02-25Gomes, Rodrigo. Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra. 2019. 66 f. Dissertação (Programa de Pós-Graduação em Agronomia - Mestrado) - Universidade Estadual do Centro-Oeste, Guarapuava-PR.http://tede.unicentro.br:8080/jspui/handle/jspui/1626The growth of corn production in the second season, which currently corresponds to about 70% of the area sown in Brazil, has driven the market change and led to the increase in demand for hybrids adapted to the reality of the environments, imposing changes in strategies in the production programs. improvement. The objectives of this work were to evaluate and identify promising progenies for the generation of new hybrids with high productive potential in second crop environments. Thirty-three inbred lines from different heterotic groups were evaluated in topcross crosses with two elite testers (one adapted to summer environments and one adapted to second crop conditions), totaling 66 topcross hybrids. The grain yield data (kg ha-1) were obtained at 9 locations in the second harvest period, six in Paraná (1-Toledo, 2-Palotina, 3-Assis Chateaubriand, 4-Campo Mourão, 5-Sertanópolis and 6-São Jorge do Ivaí) and three in Mato Grosso do Sul (7-Caarapó, 8-Itaporã and 9-Douradina), in 2017. An analysis of variance and partial diallel (lines vs. testers) was performed. Genotype stability was evaluated by the methodologies of Schmidt and Cruz (2005) and AMMI (ZOBEL et al.,1988) GGE biplot analysis. There was a significant effect of genotypes (with average yield of 8,650 kg ha-1), environments and GE interaction. The highest average yield was recorded in environment 6 (10,180 kg ha-1), and the lowest average was in environment 4 (6,880 kg ha1). The heritability of grain yield of hybrids with tester 2 was greater than 50% in environments 2, 3, 6, 7, 8 and 9, with emphasis on environment 9, where heritability was 90.27%. There was no significant difference for testers' CGC, but there was significant difference for progeny GCA, as well as specific combining ability (SCA). There was a significant effect of the environments, as well as the interactions topcrosses x environments, GCA testers x environments, GCA progenies x environments and SCA x environments. Tester 1 (summer) positively contributed to CGC in environments 6, 7, 8, and 9. Tester 2 (second crop) positively contributed to CGC in environments 1, 2, 3, 4, and 5, where hybrids with this tester also had higher averages than tester 1. Progenies 21, 22, 31, and 32 had the most favorable CGC estimates in most environments. Among the topcross hybrids, which responded with higher average yields in the evaluation environments, HS045, HS065, HS066 and HS055 stood out, among which HS045 and HS066 were the most stable.O crescimento da produção de milho na segunda safra, que atualmente corresponde a cerca de 70% da área semeada no Brasil, impulsionou a mudança do mercado e suscitou o aumento da demanda por híbridos adaptados à realidade dos ambientes, impondo mudanças de estratégias nos programas de melhoramento. Os objetivos com esse trabalho foram avaliar e identificar linhagens promissoras para a geração de novos híbridos com elevado potencial produtivo em ambientes de segunda safra. Foram avaliadas 33 linhagens com elevada homozigose, oriundas de diferentes grupos heteróticos, em cruzamentos topcrosses com duas linhagens elite testadoras (uma adaptada a ambientes de verão e outra adaptada às condições de segunda safra), totalizando 66 híbridos simples topcrosses. Foram obtidos os dados de rendimento de grãos (kg ha-1) em 9 localidades no período de segunda safra, sendo seis no Paraná (1-Toledo, 2-Palotina, 3-Assis Chateaubriand, 4-Campo Mourão, 5-Sertanópolis e 6-São Jorge do Ivaí) e três no Mato Grosso do Sul (7-Caarapó, 8-Itaporã e 9-Douradina), no ano de 2017. Foi realizada análise dialélica parcial (linhagens x testadores). A estabilidade dos genótipos foi avaliada pelas metodologias de Schmidt e Cruz (2005) e AMMI (ZOBEL et al., 1988) e análise GGE biplot. Houve efeito significativo dos genótipos (com produtividade média de 8.650 kg ha-1), dos ambientes e da interação GE. A maior média de produtividade foi registrada no ambiente 6 (10.180 kg ha-1) e a menor média foi no ambiente 4 (6.880 kg ha-1). A herdabilidade da produtividade de grãos dos híbridos com o testador 2 foi superior a 50% nos ambientes 2, 3, 6, 7, 8 e 9, com destaque para o ambiente 9, onde a herdabilidade foi de 90,27%. Não houve diferença significativa para CGC dos testadores, porém houve diferença significativa para CGC das linhagens, bem como da capacidade específica de combinação (CEC). Houve efeito significativo dos ambientes, bem como das interações topcrosses x ambientes, CGC testadores x ambientes, CGC linhagens x ambientes e CEC x ambientes. O testador 1 (verão) contribui positivamente para a CGC nos ambientes 6, 7, 8 e 9. O testador 2 (segunda safra) contribuiu positivamente para a CGC nos ambientes 1, 2, 3, 4 e 5, onde os híbridos com esse testador também tiveram médias superiores em relação ao testador 1. As linhagens 21, 22, 31 e 32 tiveram as estimativas mais favoráveis da CGC em boa parte dos ambientes. Entre os híbridos topcrosses, que responderam com maiores médias de produtividade nos ambientes de avaliação, se destacaram HS045, HS065, HS066 e HS055, dentre os quais HS045 e HS066 foram os mais estáveis.Submitted by Fabiano Jucá (fjuca@unicentro.br) on 2021-05-14T12:27:52Z No. of bitstreams: 1 dissertação RODRIGO GOMES.pdf: 1638389 bytes, checksum: b27a8d3c735629f9a575bb94a470360e (MD5)Made available in DSpace on 2021-05-14T12:27:52Z (GMT). No. of bitstreams: 1 dissertação RODRIGO GOMES.pdf: 1638389 bytes, checksum: b27a8d3c735629f9a575bb94a470360e (MD5) Previous issue date: 2019-02-25Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttp://tede.unicentro.br:8080/jspui/retrieve/6689/disserta%c3%a7%c3%a3o%20RODRIGO%20GOMES.pdf.jpghttp://tede.unicentro.br:8080/jspui/retrieve/6690/disserta%c3%a7%c3%a3o%20RODRIGO%20GOMES.pdf.jpgporUniversidade Estadual do Centro-OestePrograma de Pós-Graduação em Agronomia (Mestrado)UNICENTROBrasilUnicentro::Departamento de AgronomiaAMMI biplotdialelo parcialestabilidademelhoramento genéticoprodutividade de grãosAMMI biplotpartial diallelstabilitygenetic breedingyield grainCIENCIAS AGRARIAS::AGRONOMIAAdaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safraAdaptability, Stability and combining ability of corn hybrids in second seasoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-4422120751208015505600600600600-6556609568164174006-30911387149076039072075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações do UNICENTROinstname:Universidade Estadual do Centro-Oeste (UNICENTRO)instacron:UNICENTROTHUMBNAILdissertação RODRIGO GOMES.pdf.jpgdissertação RODRIGO GOMES.pdf.jpgimage/jpeg1943http://localhost:8080/tede/bitstream/jspui/1626/4/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.jpgcc73c4c239a4c332d642ba1e7c7a9fb2MD54THUMBNAILdissertação RODRIGO GOMES.pdf.jpgdissertação RODRIGO GOMES.pdf.jpgimage/jpeg1943http://localhost:8080/tede/bitstream/jspui/1626/4/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.jpgcc73c4c239a4c332d642ba1e7c7a9fb2MD54TEXTdissertação RODRIGO GOMES.pdf.txtdissertação RODRIGO GOMES.pdf.txttext/plain122501http://localhost:8080/tede/bitstream/jspui/1626/3/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.txt81096eb0301d2cca66ff4b85c8cc7e81MD53TEXTdissertação RODRIGO GOMES.pdf.txtdissertação RODRIGO GOMES.pdf.txttext/plain122501http://localhost:8080/tede/bitstream/jspui/1626/3/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.txt81096eb0301d2cca66ff4b85c8cc7e81MD53ORIGINALdissertação RODRIGO GOMES.pdfdissertação RODRIGO GOMES.pdfapplication/pdf1638389http://localhost:8080/tede/bitstream/jspui/1626/2/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdfb27a8d3c735629f9a575bb94a470360eMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82003http://localhost:8080/tede/bitstream/jspui/1626/1/license.txt6544a715df32d52b08aa3def94c4dddeMD51jspui/16262021-05-21 15:59:17.388oai:localhost: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede.unicentro.br:8080/jspui/PUBhttp://tede.unicentro.br/tde_oai/oai3.phprepositorio@unicentro.br||fabianoqueiroz@yahoo.com.bropendoar:2021-05-21T18:59:17Biblioteca Digital de Teses e Dissertações do UNICENTRO - Universidade Estadual do Centro-Oeste (UNICENTRO)false
dc.title.por.fl_str_mv Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
dc.title.alternative.por.fl_str_mv Adaptability, Stability and combining ability of corn hybrids in second season
title Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
spellingShingle Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
Gomes, Rodrigo
AMMI biplot
dialelo parcial
estabilidade
melhoramento genético
produtividade de grãos
AMMI biplot
partial diallel
stability
genetic breeding
yield grain
CIENCIAS AGRARIAS::AGRONOMIA
title_short Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
title_full Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
title_fullStr Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
title_full_unstemmed Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
title_sort Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
author Gomes, Rodrigo
author_facet Gomes, Rodrigo
author_role author
dc.contributor.advisor1.fl_str_mv Faria, Marcos Ventura
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0413552050308341
dc.contributor.author.fl_str_mv Gomes, Rodrigo
contributor_str_mv Faria, Marcos Ventura
dc.subject.por.fl_str_mv AMMI biplot
dialelo parcial
estabilidade
melhoramento genético
produtividade de grãos
topic AMMI biplot
dialelo parcial
estabilidade
melhoramento genético
produtividade de grãos
AMMI biplot
partial diallel
stability
genetic breeding
yield grain
CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv AMMI biplot
partial diallel
stability
genetic breeding
yield grain
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::AGRONOMIA
description The growth of corn production in the second season, which currently corresponds to about 70% of the area sown in Brazil, has driven the market change and led to the increase in demand for hybrids adapted to the reality of the environments, imposing changes in strategies in the production programs. improvement. The objectives of this work were to evaluate and identify promising progenies for the generation of new hybrids with high productive potential in second crop environments. Thirty-three inbred lines from different heterotic groups were evaluated in topcross crosses with two elite testers (one adapted to summer environments and one adapted to second crop conditions), totaling 66 topcross hybrids. The grain yield data (kg ha-1) were obtained at 9 locations in the second harvest period, six in Paraná (1-Toledo, 2-Palotina, 3-Assis Chateaubriand, 4-Campo Mourão, 5-Sertanópolis and 6-São Jorge do Ivaí) and three in Mato Grosso do Sul (7-Caarapó, 8-Itaporã and 9-Douradina), in 2017. An analysis of variance and partial diallel (lines vs. testers) was performed. Genotype stability was evaluated by the methodologies of Schmidt and Cruz (2005) and AMMI (ZOBEL et al.,1988) GGE biplot analysis. There was a significant effect of genotypes (with average yield of 8,650 kg ha-1), environments and GE interaction. The highest average yield was recorded in environment 6 (10,180 kg ha-1), and the lowest average was in environment 4 (6,880 kg ha1). The heritability of grain yield of hybrids with tester 2 was greater than 50% in environments 2, 3, 6, 7, 8 and 9, with emphasis on environment 9, where heritability was 90.27%. There was no significant difference for testers' CGC, but there was significant difference for progeny GCA, as well as specific combining ability (SCA). There was a significant effect of the environments, as well as the interactions topcrosses x environments, GCA testers x environments, GCA progenies x environments and SCA x environments. Tester 1 (summer) positively contributed to CGC in environments 6, 7, 8, and 9. Tester 2 (second crop) positively contributed to CGC in environments 1, 2, 3, 4, and 5, where hybrids with this tester also had higher averages than tester 1. Progenies 21, 22, 31, and 32 had the most favorable CGC estimates in most environments. Among the topcross hybrids, which responded with higher average yields in the evaluation environments, HS045, HS065, HS066 and HS055 stood out, among which HS045 and HS066 were the most stable.
publishDate 2019
dc.date.issued.fl_str_mv 2019-02-25
dc.date.accessioned.fl_str_mv 2021-05-14T12:27:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv Gomes, Rodrigo. Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra. 2019. 66 f. Dissertação (Programa de Pós-Graduação em Agronomia - Mestrado) - Universidade Estadual do Centro-Oeste, Guarapuava-PR.
dc.identifier.uri.fl_str_mv http://tede.unicentro.br:8080/jspui/handle/jspui/1626
identifier_str_mv Gomes, Rodrigo. Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra. 2019. 66 f. Dissertação (Programa de Pós-Graduação em Agronomia - Mestrado) - Universidade Estadual do Centro-Oeste, Guarapuava-PR.
url http://tede.unicentro.br:8080/jspui/handle/jspui/1626
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv -4422120751208015505
dc.relation.confidence.fl_str_mv 600
600
600
600
dc.relation.department.fl_str_mv -6556609568164174006
dc.relation.cnpq.fl_str_mv -3091138714907603907
dc.relation.sponsorship.fl_str_mv 2075167498588264571
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 Estadual do Centro-Oeste
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agronomia (Mestrado)
dc.publisher.initials.fl_str_mv UNICENTRO
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Unicentro::Departamento de Agronomia
publisher.none.fl_str_mv Universidade Estadual do Centro-Oeste
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do UNICENTRO
instname:Universidade Estadual do Centro-Oeste (UNICENTRO)
instacron:UNICENTRO
instname_str Universidade Estadual do Centro-Oeste (UNICENTRO)
instacron_str UNICENTRO
institution UNICENTRO
reponame_str Biblioteca Digital de Teses e Dissertações do UNICENTRO
collection Biblioteca Digital de Teses e Dissertações do UNICENTRO
bitstream.url.fl_str_mv http://localhost:8080/tede/bitstream/jspui/1626/4/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.jpg
http://localhost:8080/tede/bitstream/jspui/1626/4/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.jpg
http://localhost:8080/tede/bitstream/jspui/1626/3/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.txt
http://localhost:8080/tede/bitstream/jspui/1626/3/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf.txt
http://localhost:8080/tede/bitstream/jspui/1626/2/disserta%C3%A7%C3%A3o+RODRIGO+GOMES.pdf
http://localhost:8080/tede/bitstream/jspui/1626/1/license.txt
bitstream.checksum.fl_str_mv cc73c4c239a4c332d642ba1e7c7a9fb2
cc73c4c239a4c332d642ba1e7c7a9fb2
81096eb0301d2cca66ff4b85c8cc7e81
81096eb0301d2cca66ff4b85c8cc7e81
b27a8d3c735629f9a575bb94a470360e
6544a715df32d52b08aa3def94c4ddde
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do UNICENTRO - Universidade Estadual do Centro-Oeste (UNICENTRO)
repository.mail.fl_str_mv repositorio@unicentro.br||fabianoqueiroz@yahoo.com.br
_version_ 1801859384518639616