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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
19/10/2015 |
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Data da última atualização: |
15/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NASCIMENTO, M.; PETERNELLI, L. A.; CRUZ, C. D.; NASCIMENTO, A. C. C.; FERREIRA, R. de P. |
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Afiliação: |
MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA, VIÇOSA, MG; LUIZ ALEXANDRE PETERNELLI, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; ANA CAROLINA CAMPANHA NASCIMENTO, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; REINALDO DE PAULA FERREIRA, CPPSE. |
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Título: |
Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 13, n. 2, p. 152-156, jul. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology of Eberhart and Russell. Data from an experiment on dry matter production of 92 alfalfa genotypes (Medicago sativa L.) were used. The experimental design constituted of randomized blocks, with two repetitions. The genotypes were submitted to 20 cuttings, in the growing season of November 2004 to June 2006. Each cutting was considered an environment. The artificial neural network was able to satisfactorily classify the genotypes. In addition, the analysis presented high agreement rates, compared with the results obtained by the methodology of Eberhart and Russell. |
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Palavras-Chave: |
Bioinformatic; Data simulation; Eberhart russell. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/131321/1/PROCI-2013.00300.pdf
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Marc: |
LEADER 01410naa a2200205 a 4500
001 2026720
005 2023-05-15
008 2013 bl uuuu u00u1 u #d
100 1 $aNASCIMENTO, M.
245 $aArtificial neural networks for adaptability and stability evaluation in alfalfa genotypes$h[electronic resource]
260 $c2013
520 $aThe purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology of Eberhart and Russell. Data from an experiment on dry matter production of 92 alfalfa genotypes (Medicago sativa L.) were used. The experimental design constituted of randomized blocks, with two repetitions. The genotypes were submitted to 20 cuttings, in the growing season of November 2004 to June 2006. Each cutting was considered an environment. The artificial neural network was able to satisfactorily classify the genotypes. In addition, the analysis presented high agreement rates, compared with the results obtained by the methodology of Eberhart and Russell.
653 $aBioinformatic
653 $aData simulation
653 $aEberhart russell
700 1 $aPETERNELLI, L. A.
700 1 $aCRUZ, C. D.
700 1 $aNASCIMENTO, A. C. C.
700 1 $aFERREIRA, R. de P.
773 $tCrop Breeding and Applied Biotechnology$gv. 13, n. 2, p. 152-156, jul. 2013.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
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Data corrente: |
26/03/2014 |
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Data da última atualização: |
19/05/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ALMEIDA FILHO, J. E.; TARDIN, F. D.; DAHER, R. F.; BARBÉ, T. C.; PAULA, C. M.; CARDOSO, M. J.; GODINHO, V. P. C. |
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Afiliação: |
FLAVIO DESSAUNE TARDIN, CNPMS; MILTON JOSE CARDOSO, CPAMN; VICENTE DE PAULO CAMPOS GODINHO, CPAF-RO. |
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Título: |
Stability and adaptability of grain sorghum hybrids in the off-season. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, Ribeirão Preto, v.13, n. 3, p. 7626-7635, mar. 2014. |
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DOI: |
10.4238/2014.March.24.24 |
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Idioma: |
Português |
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Conteúdo: |
We analyzed productivity data obtained from experiments on grain sorghum conducted in 7 locations of its cultivation in Brazil. A total of 25 hybrids were analyzed, of which 22 were pre-commercial and 3 were cultivars. The Wricke and Purchase et al. methods were highly consistent in identifying individuals with low contributions to genotype x environment interactions. The Lin and Binns method proved to be easily applicable and interpretable but it was not efficient in detecting individuals with specific adaptations. An additive main effects and multiplicative interaction (AMMI) model indicated the suitability of cultivar 1G282 for the cities of Guaíra, Sete Lagoas, and Vilhena, and hybrids 0307087 and 0307091 for the southeast of Goiás. The associations of the Eberhart and Russell method with AMMI indicated that 0307071, 0307131, 0307511, and 0307651 showed adaptability to favorable environments. Hybrid 0009061 stood out as the most adaptable and stable cultivar. |
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Thesagro: |
Genótipo; Sorghum bicolor. |
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Thesaurus NAL: |
genotype. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/100189/1/Stability-adaptability.pdf
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Marc: |
LEADER 01718naa a2200241 a 4500
001 1983415
005 2017-05-19
008 2014 bl uuuu u00u1 u #d
024 7 $a10.4238/2014.March.24.24$2DOI
100 1 $aALMEIDA FILHO, J. E.
245 $aStability and adaptability of grain sorghum hybrids in the off-season.$h[electronic resource]
260 $c2014
520 $aWe analyzed productivity data obtained from experiments on grain sorghum conducted in 7 locations of its cultivation in Brazil. A total of 25 hybrids were analyzed, of which 22 were pre-commercial and 3 were cultivars. The Wricke and Purchase et al. methods were highly consistent in identifying individuals with low contributions to genotype x environment interactions. The Lin and Binns method proved to be easily applicable and interpretable but it was not efficient in detecting individuals with specific adaptations. An additive main effects and multiplicative interaction (AMMI) model indicated the suitability of cultivar 1G282 for the cities of Guaíra, Sete Lagoas, and Vilhena, and hybrids 0307087 and 0307091 for the southeast of Goiás. The associations of the Eberhart and Russell method with AMMI indicated that 0307071, 0307131, 0307511, and 0307651 showed adaptability to favorable environments. Hybrid 0009061 stood out as the most adaptable and stable cultivar.
650 $agenotype
650 $aGenótipo
650 $aSorghum bicolor
700 1 $aTARDIN, F. D.
700 1 $aDAHER, R. F.
700 1 $aBARBÉ, T. C.
700 1 $aPAULA, C. M.
700 1 $aCARDOSO, M. J.
700 1 $aGODINHO, V. P. C.
773 $tGenetics and Molecular Research, Ribeirão Preto, Ribeirão Preto$gv.13, n. 3, p. 7626-7635, mar. 2014.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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