| |
|
|
| Registros recuperados : 1 | |
| 1. |  | FREITAS, A. W. de P.; BERNARDI, A. C. de C.; GRASSI, A. M.; SANTOS, A. dos; GURGEL, A. C.; COSTA, A. C. P. B.; ABREU JUNIOR, A. C. de; BILLI, A. L.; SOUZA, B. F. de; PAGANI NETO, C.; CRUSCIOL, C. A. C.; CERRI, C. E. P.; MANZATTO, C. V.; DOURADO NETO, D.; ASSAD, E. D.; RIBEIRO, E. G.; PENTEADO, F. A. P. de O.; BATOLLA JUNIOR, F.; ROCHA, F. M.; OLIVEIRA, F. M. S. de; CORREA, F. A.; MATTURRO, F.; OGAWA, G.; MATEUS, G. P.; LEITE, I.; PIMENTEL, J. C. de C.; ALVES, J. W. S.; CORA, J. E.; FONTES, J. L.; MACHADO FILHO, J. V.; SKORUPA, L. A.; PREMAZZI, L. M.; SCHMIDT, L. A.; CANTO, M. S. do; CECCON, M. A. P.; FANUCCHI, M.; DRUGOWICH, M. I.; NOMURA, M. S.; LUCON, O. dos S.; OLIVEIRA, P. P. A.; HERMANN, P.; OLIVEIRA JUNIOR, P. R. de; ACUNHA, R. B.; SANTOS, R. dos; MARGATHO, S. M. F.; FRANCA, T. J. F. Plano estadual de mitigação e de adaptação às mudanças climáticas para a consolidação de uma economia de baixa emissão de carbono na agricultura. São Paulo: Ministério da Agricultura, Pecuária e Abastecimento (MAPA); Secretaria de Agricultura e Abastecimento, 2016. 56 p. Apostila| Biblioteca(s): Embrapa Pecuária Sudeste. |
|    |
| Registros recuperados : 1 | |
|
|
|
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
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Meio-Norte (CPAMN) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
|
|
