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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado; Embrapa Milho e Sorgo; Embrapa Roraima. |
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Data corrente: |
02/10/2015 |
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Data da última atualização: |
15/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FIGUEIREDO, U. J. de; NUNES, J. A. R.; PARRELLA, R. A. da C.; SOUZA, E. D.; SILVA, A. R. da; EMYGDIO, B. M.; MACHADO, J. R. A.; TARDIN, F. D. |
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Afiliação: |
RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; EVERTON DIEL SOUZA, CPAF-RR; ADELMO RESENDE DA SILVA, CNPMS; BEATRIZ MARTI EMYGDIO, CPACT; JANE RODRIGUES DE ASSIS MACHADO, CNPMS; FLAVIO DESSAUNE TARDIN, CNPMS. |
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Título: |
Adaptability and stability of genotypes of sweet sorghum by GGEBiplot and Toler methods. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 3, p. 11211-11221, 2015. |
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DOI: |
10.4238/2015.September.22.15 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum has considerable potential for ethanol and energy production. The crop is adaptable and can be grown under a wide range of cultivation conditions in marginal areas; however, studies of phenotypic stability are lacking under tropical conditions. Various methods can be used to assess the stability of the crop. Some of these methods generate the same basic information, whereas others provide additional information on genotype x environment (G x E) interactions and/or a description of the genotypes and environments. In this study, we evaluated the complementarity of two methods, GGEBiplot and Toler, with the aim of achieving more detailed information on G x E interactions and their implications for selection of sweet sorghum genotypes. We used data from 25 sorghum genotypes grown in different environments and evaluated the following traits: flowering (FLOW), green mass yield (GMY), total soluble solids (TSS), and tons of Brix per hectare (TBH). Significant G x E interactions were found for all traits. The most stable genotypes identified with the GGEBiplot method were CMSXS643 for FLOW, CMSXS644 and CMSXS647 for GMY, CMSXS646 and CMSXS637 for TSS, and BRS511 and CMSXSS647 for TBH. Especially for TBH, the genotype BRS511 was classified as doubly desirable by the Toler method; however, unlike the result of the GGEBiplot method, the genotype CMSXS647 was also found to be doubly undesirable. The two analytical methods were complementary and enabled a more reliable identification of adapted and stable genotypes. MenosSweet sorghum has considerable potential for ethanol and energy production. The crop is adaptable and can be grown under a wide range of cultivation conditions in marginal areas; however, studies of phenotypic stability are lacking under tropical conditions. Various methods can be used to assess the stability of the crop. Some of these methods generate the same basic information, whereas others provide additional information on genotype x environment (G x E) interactions and/or a description of the genotypes and environments. In this study, we evaluated the complementarity of two methods, GGEBiplot and Toler, with the aim of achieving more detailed information on G x E interactions and their implications for selection of sweet sorghum genotypes. We used data from 25 sorghum genotypes grown in different environments and evaluated the following traits: flowering (FLOW), green mass yield (GMY), total soluble solids (TSS), and tons of Brix per hectare (TBH). Significant G x E interactions were found for all traits. The most stable genotypes identified with the GGEBiplot method were CMSXS643 for FLOW, CMSXS644 and CMSXS647 for GMY, CMSXS646 and CMSXS637 for TSS, and BRS511 and CMSXSS647 for TBH. Especially for TBH, the genotype BRS511 was classified as doubly desirable by the Toler method; however, unlike the result of the GGEBiplot method, the genotype CMSXS647 was also found to be doubly undesirable. The two analytical methods were complementary and enabled a more reliable iden... Mostrar Tudo |
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Thesagro: |
Bioenergia; Etanol; Sorghum bicolor. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/130671/1/Adaptability-stability-2.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/133694/1/beatriz-Emygdio-Adaptability-stability-2.pdf
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Marc: |
LEADER 02326naa a2200253 a 4500
001 2025687
005 2016-02-15
008 2015 bl uuuu u00u1 u #d
024 7 $a10.4238/2015.September.22.15$2DOI
100 1 $aFIGUEIREDO, U. J. de
245 $aAdaptability and stability of genotypes of sweet sorghum by GGEBiplot and Toler methods.$h[electronic resource]
260 $c2015
520 $aSweet sorghum has considerable potential for ethanol and energy production. The crop is adaptable and can be grown under a wide range of cultivation conditions in marginal areas; however, studies of phenotypic stability are lacking under tropical conditions. Various methods can be used to assess the stability of the crop. Some of these methods generate the same basic information, whereas others provide additional information on genotype x environment (G x E) interactions and/or a description of the genotypes and environments. In this study, we evaluated the complementarity of two methods, GGEBiplot and Toler, with the aim of achieving more detailed information on G x E interactions and their implications for selection of sweet sorghum genotypes. We used data from 25 sorghum genotypes grown in different environments and evaluated the following traits: flowering (FLOW), green mass yield (GMY), total soluble solids (TSS), and tons of Brix per hectare (TBH). Significant G x E interactions were found for all traits. The most stable genotypes identified with the GGEBiplot method were CMSXS643 for FLOW, CMSXS644 and CMSXS647 for GMY, CMSXS646 and CMSXS637 for TSS, and BRS511 and CMSXSS647 for TBH. Especially for TBH, the genotype BRS511 was classified as doubly desirable by the Toler method; however, unlike the result of the GGEBiplot method, the genotype CMSXS647 was also found to be doubly undesirable. The two analytical methods were complementary and enabled a more reliable identification of adapted and stable genotypes.
650 $aBioenergia
650 $aEtanol
650 $aSorghum bicolor
700 1 $aNUNES, J. A. R.
700 1 $aPARRELLA, R. A. da C.
700 1 $aSOUZA, E. D.
700 1 $aSILVA, A. R. da
700 1 $aEMYGDIO, B. M.
700 1 $aMACHADO, J. R. A.
700 1 $aTARDIN, F. D.
773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 14, n. 3, p. 11211-11221, 2015.
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Embrapa Milho e Sorgo (CNPMS) |
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