Variabilidade e progresso genético com seleção recorrente em arroz de terras altas
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/3725 |
Resumo: | Rice (Oryza sativa L.) is the most important cereal in the world as a major component of the staple food of the world’s population. The increase of the yield potential of new upland rice cultivars has been became highlighted as a main challenge for the plant breeding in this millennium. The increasing mean yield of cultivars becomes more difficult to identify superior genotypes, because the contrasts among elite-lines are becoming smaller. This highlights the importance of developing improved populations with high frequency of favorable alleles and genetic variability. The recurrent selection is a method based on population breeding and the main characteristic is obtaining long-term results. Using the recurrent selection population CNA6 of upland rice, the objectives of this study were: (i) to obtain estimates of genetic and phenotypic parameters among S0:2 progenies for grain yield (PG, in kg ha-1) and plant height (AP, in cm), in four selection cycles; (ii) to determine the influence of the progeny x location interaction on estimates of genetic and phenotypic parameters; (iii) to estimate the genetic progress of the population along the four cycles of recurrent selection for PG, AP and days-to-flowering (DF, in days); and (iv) to evaluate the genetic potential of this population through the expected proportion of superior lines after each selection cycle. It was used the data set from yield trials of S0:2 progenies in the years 2000/01, 2003/04, 2006/07 and 2009/10 from Brazilian Agricultural Research Corporation (Embrapa). In each cycle, the trials were carried out in some locations (Santo Antônio de Goiás-GO; Paragominas-PA; Primavera do Leste, MT; Sinop-MT; Teresina-PI and Vilhena-RO). The experimental design was augmented block of Federer, without replicate within location and with at least three checks. The plots were composed by four rows with five meters long, spacing of 0.30 m, and density of 60 seeds per meter. In each cycle, the data set from PG and AP were subjected to individual analysis of variance for Santo Antônio de Goiás-GO, the unique common location in all cycles, and joint analysis of variance for all locations. Estimates of phenotypic, genotypic and environment correlations among three traits studied was obtained. The average gains per cycle, and average annual gains and total were estimated, as also the weighted coefficients of determination and gains among cycles and the total gain based on contrasts among estimated averages for each cycle. In addition, the expected proportions of superior inbred lines after each selection cycle were obtained, using the average of the checks as standard. Estimates of genetic correlations between PG and AP were -0.42 and between AP and DF the -0.11 , both significant (p0,01), and no correlation was detected among PG and DF. Thus, within this population progenies with higher grain yield had lower plant height, and cycle may be early, medium or late. Estimates of genetic variance among S0:2 progenies suggested that genetic variability was maintained along the cycles of selection for the traits PG and AP. After unfolding of the genotype x location interaction (GxL) was observed predominance of the crossover interaction for PG and AP. Finally, it was found that the GxL interaction affected the estimates of genetic and phenotypic parameters for both traits, due to the wide geographic distribution of the target environments, which the recurrent selection program aims to obtain genetic gains in medium and long term. The results show clearly the efficiency of recurrent selection program in the progress of the population mean for grain yield and plant height, with significant genetic gains observed during the four cycles of selection. The genetic potential of the population to develop superior inbred lines increased during to selection cycles for grain yield and plant height. Despite the absence of genetic gain for days-to-flowering, the genetic potential for this trait was kept in the population during the four cycles elapsed. |
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Melo, Patrícia Guimarães Santoshttp://lattes.cnpq.br/1508679345970114Colombari Filho, José ManoelMorais, Orlando Peixoto deMelo, Patrícia Guimarães SantosGeraldi, Isaias OlívioMiranda Filho, José Branco deColombari Filho, José Manoelhttp://lattes.cnpq.br/5190558264625516Morais Júnior, Odilon Peixoto de2014-12-04T14:18:17Z2013-03-14MORAIS JÚNIOR, Odilon Peixoto de. Variabilidade e progresso genético com seleção recorrente em arroz de terras altas. 2013. 163 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2013.http://repositorio.bc.ufg.br/tede/handle/tede/3725Rice (Oryza sativa L.) is the most important cereal in the world as a major component of the staple food of the world’s population. The increase of the yield potential of new upland rice cultivars has been became highlighted as a main challenge for the plant breeding in this millennium. The increasing mean yield of cultivars becomes more difficult to identify superior genotypes, because the contrasts among elite-lines are becoming smaller. This highlights the importance of developing improved populations with high frequency of favorable alleles and genetic variability. The recurrent selection is a method based on population breeding and the main characteristic is obtaining long-term results. Using the recurrent selection population CNA6 of upland rice, the objectives of this study were: (i) to obtain estimates of genetic and phenotypic parameters among S0:2 progenies for grain yield (PG, in kg ha-1) and plant height (AP, in cm), in four selection cycles; (ii) to determine the influence of the progeny x location interaction on estimates of genetic and phenotypic parameters; (iii) to estimate the genetic progress of the population along the four cycles of recurrent selection for PG, AP and days-to-flowering (DF, in days); and (iv) to evaluate the genetic potential of this population through the expected proportion of superior lines after each selection cycle. It was used the data set from yield trials of S0:2 progenies in the years 2000/01, 2003/04, 2006/07 and 2009/10 from Brazilian Agricultural Research Corporation (Embrapa). In each cycle, the trials were carried out in some locations (Santo Antônio de Goiás-GO; Paragominas-PA; Primavera do Leste, MT; Sinop-MT; Teresina-PI and Vilhena-RO). The experimental design was augmented block of Federer, without replicate within location and with at least three checks. The plots were composed by four rows with five meters long, spacing of 0.30 m, and density of 60 seeds per meter. In each cycle, the data set from PG and AP were subjected to individual analysis of variance for Santo Antônio de Goiás-GO, the unique common location in all cycles, and joint analysis of variance for all locations. Estimates of phenotypic, genotypic and environment correlations among three traits studied was obtained. The average gains per cycle, and average annual gains and total were estimated, as also the weighted coefficients of determination and gains among cycles and the total gain based on contrasts among estimated averages for each cycle. In addition, the expected proportions of superior inbred lines after each selection cycle were obtained, using the average of the checks as standard. Estimates of genetic correlations between PG and AP were -0.42 and between AP and DF the -0.11 , both significant (p0,01), and no correlation was detected among PG and DF. Thus, within this population progenies with higher grain yield had lower plant height, and cycle may be early, medium or late. Estimates of genetic variance among S0:2 progenies suggested that genetic variability was maintained along the cycles of selection for the traits PG and AP. After unfolding of the genotype x location interaction (GxL) was observed predominance of the crossover interaction for PG and AP. Finally, it was found that the GxL interaction affected the estimates of genetic and phenotypic parameters for both traits, due to the wide geographic distribution of the target environments, which the recurrent selection program aims to obtain genetic gains in medium and long term. The results show clearly the efficiency of recurrent selection program in the progress of the population mean for grain yield and plant height, with significant genetic gains observed during the four cycles of selection. The genetic potential of the population to develop superior inbred lines increased during to selection cycles for grain yield and plant height. Despite the absence of genetic gain for days-to-flowering, the genetic potential for this trait was kept in the population during the four cycles elapsed.O arroz (Oryza sativa L.) é o cereal mais importante do mundo, sendo o componente principal da dieta básica da população mundial. O incremento do potencial produtivo em novas cultivares de arroz de terras altas vem se destacando como um dos principais desafios para o melhoramento genético da cultura neste milênio. À medida que se aumenta a produção média das cultivares, torna-se mais difícil identificar genótipos superiores, visto que as diferenças a serem detectadas são cada vez menores. Isto ressalta a importância do desenvolvimento de populações melhoradas com alta frequência de alelos favoráveis e variabilidade genética. A seleção recorrente apresenta-se como um método que tem como base funcional o melhoramento populacional, sendo sua principal característica a obtenção de resultados em longo prazo. A partir da população de seleção recorrente CNA6 de arroz de terras altas, este trabalho teve como objetivos (i) obter estimativas de parâmetros genéticos e fenotípicos entre progênies S0:2 para produção de grãos (PG, em kg ha-1) e altura de plantas (AP, em cm), em quatro ciclos de seleção; (ii) determinar a influência do componente da interação entre progênies e locais sobre as estimativas de parâmetros genéticos e fenotípicos; (iii) estimar o progresso genético da população ao longo de quatro ciclos de seleção recorrente para PG, AP e dias para florescimento (DF, em dias); e (iv) avaliar o potencial genético dessa população por meio da probabilidade de se gerar linhagens superiores após cada ciclo de seleção. Foi utilizado um conjunto de dados provenientes de ensaios de rendimentos de progênies S0:2 nos anos agrícolas de 2000/01, 2003/04, 2006/07 e 2009/10 da Empresa Brasileira de Pesquisa Agropecuária (Embrapa). Em cada ciclo de seleção foram conduzidos ensaios em diferentes locais (Santo Antônio de Goiás-GO; Paragominas-PA; Primavera do Leste-MT; Sinop-MT; Teresina-PI e Vilhena-RO). O delineamento experimental adotado foi em blocos aumentados de Federer, sem repetição dentro de local e com mínimo de três testemunhas em cada ciclo. Em cada ciclo de seleção, os dados de PG e AP foram submetidos à análise de variância individual para Santo Antônio de Goiás-GO, o único local comum em todos os ciclos, e análise de variância conjunta com todos os locais. Foram obtidas estimativas de correlações fenotípicas, genéticas e ambientais entre os três caracteres estudados. Foram estimados os ganhos genéticos médios relativos por ciclo, ganhos médios anuais e totais relativos, como também os coeficientes de determinação ponderados e os ganhos entre ciclos e o ganho total com base nos contrastes entre as médias estimadas para cada ciclo. Além disso, foram obtidas as proporções esperadas de linhagens superiores após cada ciclo de seleção, adotando a média das testemunhas como padrão. As estimativas de correlações genéticas entre PG e AP foram -0,42 e entre AP e DF de -0.11, ambas significativas (p0,01), e nenhuma correlação foi detectada entre PG e DF. Assim, dentro dessa população as progênies mais produtivas apresentavam menor porte, podendo ser de ciclo precoce, médio ou tardio. As estimativas de variância genética entre progênies S0:2 sugeriram que a variabilidade genética foi mantida ao longo dos ciclos de seleção para os caracteres PG e AP. Pela decomposição da interação genótipo x local (GxL) foi verificado predominância da parte complexa da interação para os caracteres PG e AP. Por fim, verificou-se que a interação GxL afetou as estimativas de parâmetros genéticos e fenotípicos para ambos os caracteres, em função da ampla distribuição geográfica dos ambientes alvos, os quais o programa de seleção recorrente do arroz de terras altas visa obter ganhos com seleção a médio e longo prazo. Os resultados revelaram claramente a eficiência do programa de seleção recorrente no progresso da média da população, para PG e AP, com ganhos genéticos significativos observados durante os quatro ciclos de seleção. O potencial genético da população em gerar linhagens superiores aumentou ao longo dos ciclos de seleção para PG e AP. Apesar da ausência de ganho genético em DF, o potencial genético para este caráter foi mantido na população durante os quatro ciclos decorridos.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2014-12-01T10:57:01Z No. of bitstreams: 2 Dissertação - Odilon Peixoto de Morais Júnior - 2013.pdf: 2379319 bytes, checksum: e48602a211183d753b05be7362d82c91 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2014-12-04T14:18:16Z (GMT) No. of bitstreams: 2 Dissertação - Odilon Peixoto de Morais Júnior - 2013.pdf: 2379319 bytes, checksum: e48602a211183d753b05be7362d82c91 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2014-12-04T14:18:17Z (GMT). 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dc.title.por.fl_str_mv |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
dc.title.alternative.por.fl_str_mv |
Variability and genetic progress with recurrent selection in upland rice |
title |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
spellingShingle |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas Morais Júnior, Odilon Peixoto de Oryza sativa L. Genética quantitativa Componentes de variância Interação genótipo x ambiente Ganho genético Melhoramento populacional Oryza sativa L. Quantitative genetic Variance components Genotype x environment interaction Genetic gain Breeding population GENETICA::GENETICA VEGETAL |
title_short |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
title_full |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
title_fullStr |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
title_full_unstemmed |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
title_sort |
Variabilidade e progresso genético com seleção recorrente em arroz de terras altas |
author |
Morais Júnior, Odilon Peixoto de |
author_facet |
Morais Júnior, Odilon Peixoto de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1508679345970114 |
dc.contributor.advisor-co1.fl_str_mv |
Colombari Filho, José Manoel |
dc.contributor.advisor-co2.fl_str_mv |
Morais, Orlando Peixoto de |
dc.contributor.referee1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.referee2.fl_str_mv |
Geraldi, Isaias Olívio |
dc.contributor.referee3.fl_str_mv |
Miranda Filho, José Branco de |
dc.contributor.referee4.fl_str_mv |
Colombari Filho, José Manoel |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5190558264625516 |
dc.contributor.author.fl_str_mv |
Morais Júnior, Odilon Peixoto de |
contributor_str_mv |
Melo, Patrícia Guimarães Santos Colombari Filho, José Manoel Morais, Orlando Peixoto de Melo, Patrícia Guimarães Santos Geraldi, Isaias Olívio Miranda Filho, José Branco de Colombari Filho, José Manoel |
dc.subject.por.fl_str_mv |
Oryza sativa L. Genética quantitativa Componentes de variância Interação genótipo x ambiente Ganho genético Melhoramento populacional |
topic |
Oryza sativa L. Genética quantitativa Componentes de variância Interação genótipo x ambiente Ganho genético Melhoramento populacional Oryza sativa L. Quantitative genetic Variance components Genotype x environment interaction Genetic gain Breeding population GENETICA::GENETICA VEGETAL |
dc.subject.eng.fl_str_mv |
Oryza sativa L. Quantitative genetic Variance components Genotype x environment interaction Genetic gain Breeding population |
dc.subject.cnpq.fl_str_mv |
GENETICA::GENETICA VEGETAL |
description |
Rice (Oryza sativa L.) is the most important cereal in the world as a major component of the staple food of the world’s population. The increase of the yield potential of new upland rice cultivars has been became highlighted as a main challenge for the plant breeding in this millennium. The increasing mean yield of cultivars becomes more difficult to identify superior genotypes, because the contrasts among elite-lines are becoming smaller. This highlights the importance of developing improved populations with high frequency of favorable alleles and genetic variability. The recurrent selection is a method based on population breeding and the main characteristic is obtaining long-term results. Using the recurrent selection population CNA6 of upland rice, the objectives of this study were: (i) to obtain estimates of genetic and phenotypic parameters among S0:2 progenies for grain yield (PG, in kg ha-1) and plant height (AP, in cm), in four selection cycles; (ii) to determine the influence of the progeny x location interaction on estimates of genetic and phenotypic parameters; (iii) to estimate the genetic progress of the population along the four cycles of recurrent selection for PG, AP and days-to-flowering (DF, in days); and (iv) to evaluate the genetic potential of this population through the expected proportion of superior lines after each selection cycle. It was used the data set from yield trials of S0:2 progenies in the years 2000/01, 2003/04, 2006/07 and 2009/10 from Brazilian Agricultural Research Corporation (Embrapa). In each cycle, the trials were carried out in some locations (Santo Antônio de Goiás-GO; Paragominas-PA; Primavera do Leste, MT; Sinop-MT; Teresina-PI and Vilhena-RO). The experimental design was augmented block of Federer, without replicate within location and with at least three checks. The plots were composed by four rows with five meters long, spacing of 0.30 m, and density of 60 seeds per meter. In each cycle, the data set from PG and AP were subjected to individual analysis of variance for Santo Antônio de Goiás-GO, the unique common location in all cycles, and joint analysis of variance for all locations. Estimates of phenotypic, genotypic and environment correlations among three traits studied was obtained. The average gains per cycle, and average annual gains and total were estimated, as also the weighted coefficients of determination and gains among cycles and the total gain based on contrasts among estimated averages for each cycle. In addition, the expected proportions of superior inbred lines after each selection cycle were obtained, using the average of the checks as standard. Estimates of genetic correlations between PG and AP were -0.42 and between AP and DF the -0.11 , both significant (p0,01), and no correlation was detected among PG and DF. Thus, within this population progenies with higher grain yield had lower plant height, and cycle may be early, medium or late. Estimates of genetic variance among S0:2 progenies suggested that genetic variability was maintained along the cycles of selection for the traits PG and AP. After unfolding of the genotype x location interaction (GxL) was observed predominance of the crossover interaction for PG and AP. Finally, it was found that the GxL interaction affected the estimates of genetic and phenotypic parameters for both traits, due to the wide geographic distribution of the target environments, which the recurrent selection program aims to obtain genetic gains in medium and long term. The results show clearly the efficiency of recurrent selection program in the progress of the population mean for grain yield and plant height, with significant genetic gains observed during the four cycles of selection. The genetic potential of the population to develop superior inbred lines increased during to selection cycles for grain yield and plant height. Despite the absence of genetic gain for days-to-flowering, the genetic potential for this trait was kept in the population during the four cycles elapsed. |
publishDate |
2013 |
dc.date.issued.fl_str_mv |
2013-03-14 |
dc.date.accessioned.fl_str_mv |
2014-12-04T14:18:17Z |
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 |
MORAIS JÚNIOR, Odilon Peixoto de. Variabilidade e progresso genético com seleção recorrente em arroz de terras altas. 2013. 163 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2013. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/3725 |
identifier_str_mv |
MORAIS JÚNIOR, Odilon Peixoto de. Variabilidade e progresso genético com seleção recorrente em arroz de terras altas. 2013. 163 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2013. |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/3725 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
-1138055864700592990 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
4500684695727928426 |
dc.relation.cnpq.fl_str_mv |
-7397920248419280716 |
dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Genética e Melhoramento de Plantas |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
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tasesdissertacoes.bc@ufg.br |
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1798044364649267200 |