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Registro Completo |
Biblioteca(s): |
Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
Data corrente: |
16/06/2016 |
Data da última atualização: |
06/07/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TEODORO, P. E.; ALMEIDA FILHO, J. E.; DAHER, R. F.; MENEZES, C. B. de; CARDOSO, M. J.; GODINHO, V. de P. C.; TORRES, F. E.; TARDIN, F. D. |
Afiliação: |
P. E. TEODORO, UFV; J. E. ALMEIDA FILHO, UFV; R. F. DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; CICERO BESERRA DE MENEZES, CNPMS; MILTON JOSE CARDOSO, CPAMN; VICENTE DE PAULO CAMPOS GODINHO, CPAF-Rondonia; F. E., Universidade Estadual do Mato Grosso do Sul; FLAVIO DESSAUNE TARDIN, CNPMS. |
Título: |
Identification of sorghum hybrids with high phenotypic stability using GGE biplot methodology. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 15, n. 2, p. 1-8, 2016. |
DOI: |
10.4238/gmr.15027914 |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to identify sorghum hybrids that have both high yield and phenotypic stability in Brazilian environments. Seven trials were conducted between February and March 2011. The experimental design was a randomized complete block with 25 treatments and three replicates. The treatments consisted of 20 simple pre-commercial hybrids and five witnesses of grain sorghum. Sorghum genotypes were analyzed by the genotype main effects + genotype environment interaction (GGE) biplot method if significant genotype x environment interaction, adaptability, and phenotypic stability were detected. GGE biplot methodology identified two groups of environments, the first composed of Água Comprida-MG, Montividiu-GO, and Vilhena-RO and the second of Guaíra-SP and Sete Lagoas-MG. The BRS 308 and 1G282 genotypes were found to have high grain yield, adaptability, and phenotypic stability and are thus indicated for cultivation in the first and second groups of environments, respectively. |
Palavras-Chave: |
Interação genótipo x ambiente. |
Thesagro: |
Sorghum Bicolor; Sorgo. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144482/1/GMR7914.pdf
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Marc: |
LEADER 01790naa a2200253 a 4500 001 2048322 005 2016-07-06 008 2016 bl uuuu u00u1 u #d 024 7 $a10.4238/gmr.15027914$2DOI 100 1 $aTEODORO, P. E. 245 $aIdentification of sorghum hybrids with high phenotypic stability using GGE biplot methodology.$h[electronic resource] 260 $c2016 520 $aThe aim of this study was to identify sorghum hybrids that have both high yield and phenotypic stability in Brazilian environments. Seven trials were conducted between February and March 2011. The experimental design was a randomized complete block with 25 treatments and three replicates. The treatments consisted of 20 simple pre-commercial hybrids and five witnesses of grain sorghum. Sorghum genotypes were analyzed by the genotype main effects + genotype environment interaction (GGE) biplot method if significant genotype x environment interaction, adaptability, and phenotypic stability were detected. GGE biplot methodology identified two groups of environments, the first composed of Água Comprida-MG, Montividiu-GO, and Vilhena-RO and the second of Guaíra-SP and Sete Lagoas-MG. The BRS 308 and 1G282 genotypes were found to have high grain yield, adaptability, and phenotypic stability and are thus indicated for cultivation in the first and second groups of environments, respectively. 650 $aSorghum Bicolor 650 $aSorgo 653 $aInteração genótipo x ambiente 700 1 $aALMEIDA FILHO, J. E. 700 1 $aDAHER, R. F. 700 1 $aMENEZES, C. B. de 700 1 $aCARDOSO, M. J. 700 1 $aGODINHO, V. de P. C. 700 1 $aTORRES, F. E. 700 1 $aTARDIN, F. D. 773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 15, n. 2, p. 1-8, 2016.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
03/08/2011 |
Data da última atualização: |
03/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
FREITAS, R. G.; MISSIO, R. F.; MATOS, F. S.; RESENDE, M. D. V. de; DIAS, L. A. S. |
Afiliação: |
UFV; UFPR; Universidade Estadual de Goiás; MARCOS DEON VILELA DE RESENDE, CNPF; UFV. |
Título: |
Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 10, n. 3, p. 1490-1498, 2011. |
Idioma: |
Inglês |
Conteúdo: |
Jatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. It is rustic, grows in warm regions and is easily cultivated. These characteristics and high-quality oil yields from the seeds have made this plant a priority for biodiesel programs in Brazil. Consequently, this species merits genetic investigations aimed at improving yields. Some studies have detected genetic variability in accessions in Africa and Asia. We have made the first genetic evaluation of J. curcas collected from Brazil. Our objective was to quantify genetic diversity and to estimate genetic parameters for growth and production traits and seed oil content. We evaluated 75 J. curcas progenies collected from Brazil and three from Cambodia. The mean oil content in the seeds was 31%, ranging from 16 to 45%. No genetic correlation between growth traits and seed oil content was found. However, high coefficients of genetic variation were found for plant height, number of branches, height of branches, and stem diameter. The highest individual narrow-sense heritabilities were found for leaf length (0.35) and width (0.34), stem diameter (0.24) and height of branches (0.21). We used a clustering algorithm to genetically identify the closest and most distant progenies, to assist in the development of new cultivars. Geographical diversity did not necessarily represent the genetic diversity among the accessions collected. These results are important for the continuity of breeding programs, aimed at obtaining cultivars with high grain yield and high oil content in seeds. MenosJatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. It is rustic, grows in warm regions and is easily cultivated. These characteristics and high-quality oil yields from the seeds have made this plant a priority for biodiesel programs in Brazil. Consequently, this species merits genetic investigations aimed at improving yields. Some studies have detected genetic variability in accessions in Africa and Asia. We have made the first genetic evaluation of J. curcas collected from Brazil. Our objective was to quantify genetic diversity and to estimate genetic parameters for growth and production traits and seed oil content. We evaluated 75 J. curcas progenies collected from Brazil and three from Cambodia. The mean oil content in the seeds was 31%, ranging from 16 to 45%. No genetic correlation between growth traits and seed oil content was found. However, high coefficients of genetic variation were found for plant height, number of branches, height of branches, and stem diameter. The highest individual narrow-sense heritabilities were found for leaf length (0.35) and width (0.34), stem diameter (0.24) and height of branches (0.21). We used a clustering algorithm to genetically identify the closest and most distant progenies, to assist in the development of new cultivars. Geographical diversity did not necessarily represent the genetic d... Mostrar Tudo |
Palavras-Chave: |
Clustering; Genetic diversity; Oil content. |
Thesaurus NAL: |
genetic correlation; heritability. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39118/1/Deon-GMR-PinhaoManso-1.pdf
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Marc: |
LEADER 02387naa a2200229 a 4500 001 1897234 005 2018-01-03 008 2011 bl uuuu u00u1 u #d 100 1 $aFREITAS, R. G. 245 $aGenetic evaluation of Jatropha curcas$ban important oilseed for biodiesel production.$h[electronic resource] 260 $c2011 520 $aJatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. It is rustic, grows in warm regions and is easily cultivated. These characteristics and high-quality oil yields from the seeds have made this plant a priority for biodiesel programs in Brazil. Consequently, this species merits genetic investigations aimed at improving yields. Some studies have detected genetic variability in accessions in Africa and Asia. We have made the first genetic evaluation of J. curcas collected from Brazil. Our objective was to quantify genetic diversity and to estimate genetic parameters for growth and production traits and seed oil content. We evaluated 75 J. curcas progenies collected from Brazil and three from Cambodia. The mean oil content in the seeds was 31%, ranging from 16 to 45%. No genetic correlation between growth traits and seed oil content was found. However, high coefficients of genetic variation were found for plant height, number of branches, height of branches, and stem diameter. The highest individual narrow-sense heritabilities were found for leaf length (0.35) and width (0.34), stem diameter (0.24) and height of branches (0.21). We used a clustering algorithm to genetically identify the closest and most distant progenies, to assist in the development of new cultivars. Geographical diversity did not necessarily represent the genetic diversity among the accessions collected. These results are important for the continuity of breeding programs, aimed at obtaining cultivars with high grain yield and high oil content in seeds. 650 $agenetic correlation 650 $aheritability 653 $aClustering 653 $aGenetic diversity 653 $aOil content 700 1 $aMISSIO, R. F. 700 1 $aMATOS, F. S. 700 1 $aRESENDE, M. D. V. de 700 1 $aDIAS, L. A. S. 773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 10, n. 3, p. 1490-1498, 2011.
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Embrapa Florestas (CNPF) |
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