Adaptabilidade, estabilidade e capacidade combinatória de híbridos topcrosses de milho na segunda safra
Autor(a) principal: | |
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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. |
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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). 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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 |
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dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
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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 |
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Biblioteca Digital de Teses e Dissertações do UNICENTRO |
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Biblioteca Digital de Teses e Dissertações do UNICENTRO - Universidade Estadual do Centro-Oeste (UNICENTRO) |
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repositorio@unicentro.br||fabianoqueiroz@yahoo.com.br |
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1811733823175524352 |