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Registros recuperados : 15 | |
2. | | PADILHA, C. V. da S.; BIASOTO, A. C. T.; CORRÊA, L. C.; LIMA, M. dos S. Phenolic compounds and antioxidant activity of commercial tropical red wines (Vitis vinifera) from the São Francisco Valley, Brazil. IN: INTERNATIONAL SYMPOSIUM ON TROPICAL WINES, 5., 2016, Petrolina, PE. Book of abstracts...Petrolina, PE: Embrapa Semiárido, p. 58, 19 a 21 outubro, 2016. Biblioteca(s): Embrapa Uva e Vinho. |
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5. | | PADILHA, C. V. da S.; BIASOTO, A. C. T.; CORREA, L. C.; LIMA, M. dos S.; PEREIRA, G. E. Phenolic compounds and antioxidant activity of commercial tropical red wines (Vitis vinifera) from the São Francisco Valley, Brazil. In: INTERNATIONAL SYMPOSIUM ON TROPICAL WINES, 5., 2016, Petrolina. Book of abstracts... Petrolina: Embrapa Semiárido, 2016. p. 58. Biblioteca(s): Embrapa Semiárido. |
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7. | | DA SILVA, M. J. R.; PADILHA, C. V. da S.; LIMA, M. dos S.; PEREIRA, G. E.; VENTURINI FILHO, W. G.; MOURA, M. F.; TECCHIO, M. A. Grape juices produced from new hybrid varieties grown on Brazilianrootstocks?Bioactive compounds, organic acids and antioxidant capacity. Food Chemistry, v. 289, p. 714-722, 2019. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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9. | | PADILHA, C. V. da S.; MISKINIS, G. A.; SOUZA, M. E. A. O. de; PEREIRA, G. E.; OLIVEIRA, D. de; BORDIGNON-LUIZ, M. T.; LIMA, M. dos S. Rapid determination of flavonoids and phenolic acids in grape juices and wines by RP-HPLC/DAD: Method validation and characterization of commercial products of the new Brazilian varieties of grape. Food Chemistry, v. 228, p. 101-115, 2017. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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10. | | COELHO, E. M.; PADILHA, C. V. da S.; MISKINIS, G. A.; SÁ, A. G. B. de; PEREIRA, G. E.; AZEVEDO, L. C. de; LIMA, M. dos S. Simultaneous analysis of sugars and organic acids in wine and grape juices by HPLC: Method validation and characterization of products from northeast Brazil. Journal of Food Composition and Analysis, v. 66, p. 160-167, 2018. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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12. | | TURCO, S. H. N.; SILVA, T. G. F. da; OLIVEIRA, G. M. de; LEITÃO, M. M. V. B. R.; MOURA, M. S. B. de; PINHEIRO, C.; PADILHA, C. V. da S. Estimating black globe temperature based on meteorological data. In: INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING; BRAZILIAN CONGRESS OF AGRICULTURAL ENGINEERING, 37.; INTERNATIONAL LIVESTOCK ENVIRONMENT SYMPOSIUM - ILES, 8., 2008, Foz do Iguaçu. Technology for all: sharing the knowledge for development: proceedings... Foz do Iguaçu: SBEA, 2008. 1 CD-ROM. Biblioteca(s): Embrapa Semiárido. |
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13. | | PADILHA, C. V. da S.; BIASOTO, A. C. T.; BRAGARD, L. F. dos S.; OLIVEIRA, J. B. de; OLIVEIRA, W. P. de; CARVALHO, E. S. S. de; FREITAS, S. T. de; PEREIRA, G. E. Description of sensory profile of tropical wines of guard issued in the Valley of São Francisco, Northeast Brazil. In: WORLD CONGRESS OF VINE AND WINE, 37., 2014, Mendonza, Argentina. Abstracts... Mendonza: International Organisation of Vine and Wine, 2014. 4 p. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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14. | | SILVA, M. J. R. da; PAIVA, A. P. M.; SOUZA, J. F. de; PADILHA, C. V. da S.; BASÍLIO, L. S. P.; LIMA, M. dos S.; PEREIRA, G. E.; CORREA, L. C.; VIANELLO, F.; LIMA, G. P. P.; MOURA, M. F.; TECCHIO, M. A. Phytochemical profile of Brazilian grapes (Vitis labrusca and hybrids) grown on different rootstocks. PLoS ONE, v. 17, n. 10, e0275489, 2022. Biblioteca(s): Embrapa Semiárido. |
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15. | | PEREIRA, G. E.; GUERRA, C. C.; AMORIM, F. M. de; NASCIMENTO, A. M. de S.; SOUZA, J. F. de; LIMA, L. L. de A.; LIMA, M. dos S.; PADILHA, C. V. da S.; PROTAS, J. F. da S.; ZANUS, M. C.; TONIETTO, J. Vinhos tropicais do semiárido do Brasil: desvendando o potencial vitivinícola desta nova fronteira geográfica do vinho. Territoires du Vin, v. 9, p. 1-13, 2018. Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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Registros recuperados : 15 | |
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Registro Completo
Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
Data corrente: |
07/06/2021 |
Data da última atualização: |
15/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, K. J. da; TEODORO, P. E.; SILVA, M. J. da; TEODORO, L. P. R.; CARDOSO, M. J.; GODINHO, V. de P. C.; MOTA, J. H.; SIMON, G. A.; TARDIN, F. D.; SILVA, A. R. da; GUEDES, F. L.; MENEZES, C. B. de. |
Afiliação: |
KARLA JORGE DA SILVA; PAULO EDUARDO TEODORO, Universidade Federal de Mato Grosso do Sul; MICHELE JORGE DA SILVA, Universidade Federal de Viçosa; LARISSA PEREIRA RIBEIRO TEODORO, Universidade Federal de Mato Grosso do Sul; MILTON JOSE CARDOSO, CPAMN; VICENTE DE PAULO CAMPOS GODINHO, CPAF-RO; JOSÉ HORTÊNCIO MOTA, Universidade Federal de Jataí; GUSTAVO ANDRÉ SIMON, Universidade de Rio Verde; FLAVIO DESSAUNE TARDIN, CNPMS; ADELMO RESENDE DA SILVA, CNPMS; FERNANDO LISBOA GUEDES, CNPC; CICERO BESERRA DE MENEZES, CNPMS. |
Título: |
Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Agronomy Journal, v. 113, n. 4, p. 3019-3030, Jul./Aug. 2021. |
DOI: |
https://doi.org/10.1002/agj2.20707 |
Idioma: |
Inglês |
Conteúdo: |
The performance of genotypes in a wide range of environments can be affected by extensive genotype × environment (G × E) interactions, making the subdivision of the testing environments into relatively more homogeneous groups of locations (mega-environments) a necessary strategy. The genotype main effects + genotype × environment interaction biplot method (GGE) allows identification of megaenvironments and selection of stable genotypes adapted to specific environments and mega-environments. The objectives of this study were to identify mega-environments regarding sorghum [Sorghum bicolor (L.) Moench] grain yield and demonstrate that the GGE biplot method can identify essential locations for conducting tests in different mega-environments. A total of 22 competition trials of grain sorghum genotypes were conducted over three crop seasons across several production locations in Brazil. A total of 25, 22, and 30 genotypes were evaluated during the first, second, and third crop seasons, respectively. After identifying the presence of G × E interactions, the data were subjected to adaptability and stability analyses using the GGE biplot method. A phenotypic correlation network was used to express functional relationships between environments. The GGE biplot was found to be an efficient approach for identifying three mega-environments in grain sorghum in Brazil, selecting representative and discriminative environments, and recommending more adaptive and stable grain sorghum genotypes |
Palavras-Chave: |
Método biplot. |
Thesagro: |
Genótipo; Grão; Rendimento; Sorgo. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229158/1/Identification-of-megau2010environments-for-grain-sorghum-in-Brazil-using-GGE-biplot.pdf
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Marc: |
LEADER 02439naa a2200325 a 4500 001 2137820 005 2021-12-15 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1002/agj2.20707$2DOI 100 1 $aSILVA, K. J. da 245 $aIdentification of mega-environments for grain sorghum in Brazil using GGE biplot methodology.$h[electronic resource] 260 $c2021 520 $aThe performance of genotypes in a wide range of environments can be affected by extensive genotype × environment (G × E) interactions, making the subdivision of the testing environments into relatively more homogeneous groups of locations (mega-environments) a necessary strategy. The genotype main effects + genotype × environment interaction biplot method (GGE) allows identification of megaenvironments and selection of stable genotypes adapted to specific environments and mega-environments. The objectives of this study were to identify mega-environments regarding sorghum [Sorghum bicolor (L.) Moench] grain yield and demonstrate that the GGE biplot method can identify essential locations for conducting tests in different mega-environments. A total of 22 competition trials of grain sorghum genotypes were conducted over three crop seasons across several production locations in Brazil. A total of 25, 22, and 30 genotypes were evaluated during the first, second, and third crop seasons, respectively. After identifying the presence of G × E interactions, the data were subjected to adaptability and stability analyses using the GGE biplot method. A phenotypic correlation network was used to express functional relationships between environments. The GGE biplot was found to be an efficient approach for identifying three mega-environments in grain sorghum in Brazil, selecting representative and discriminative environments, and recommending more adaptive and stable grain sorghum genotypes 650 $aGenótipo 650 $aGrão 650 $aRendimento 650 $aSorgo 653 $aMétodo biplot 700 1 $aTEODORO, P. E. 700 1 $aSILVA, M. J. da 700 1 $aTEODORO, L. P. R. 700 1 $aCARDOSO, M. J. 700 1 $aGODINHO, V. de P. C. 700 1 $aMOTA, J. H. 700 1 $aSIMON, G. A. 700 1 $aTARDIN, F. D. 700 1 $aSILVA, A. R. da 700 1 $aGUEDES, F. L. 700 1 $aMENEZES, C. B. de 773 $tAgronomy Journal$gv. 113, n. 4, p. 3019-3030, Jul./Aug. 2021.
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Embrapa Meio-Norte (CPAMN) |
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