Data/hora: 24/06/2024 18:08:22

Biblioteca(s): | Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 1
Data corrente: | 07/06/2021
Data da última atualização: | 15/12/2021
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: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/229158/1/Identification-of-megau2010environments-for-grain-sorghum-in-Brazil-using-GGE-biplot.pdf
Registro original: | Embrapa Meio-Norte (CPAMN)

Exemplares:

CNPMS - (29539-1) - UPC - AP - DD -  -  -  - DIS
CPAF-RO - (18573-1) - UPC - AP - DD -  -  -  - DIS
CNPC - (39939-1) - UPC - AP - DD -  -  -  - DIS
CPAMN - (33232-1) - UPC - AP - DD -  -  -  - DIS