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Adaptabilidade e estabilidade de linhagens experimentais de soja selecionadas para caracteres agronômicos através de método uni-multivariado. Repositório Alice
MAIA, M. C. C.; VELLO, N. A.; ROCHA, M. de M.; PINHEIRO, J. B.; SILVA JUNIOR, N. F. da..
Esta pesquisa visou estudar a interação entre genótipos e ambientes (G x E), a adaptabilidade e estabilidade fenotípica, com o uso do modelo biométrico AMMI (Additive Main Effects and Multiplicative Interaction Analysis), para avaliação da produtividade de grãos de linhagens experimentais (F10 e F11) de soja. O material envolveu três populações obtidas a partir de um dialelo parcial 4 x 4 com quatro genitores resistentes a insetos (IAC-100, Crokett, Lamar e D72-9601-1) e quatro cultivares adaptadas (BR-6, IAS-5, Davis, OCEPAR-4). Em F2 foram empregados três procedimentos distintos de seleção de plantas individuais: PCI, população formada a partir de plantas F2 obtidas com controle total de insetos; PRIM e PRIS formadas a partir de plantas F2 selecionadas...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Interação genótipo-ambiente; Produtividade; Estabilidade; Estability; Adaptabilidade; Adaptability; Método uni-multivariado; AMMI model; Soja; Glycine max; Características agronômicas; Rendimento; Soybeans; Genotype-environment interaction; Agronomic traits; Crop yield; Semillas de soja; Interacción genotipo-ambiente; Caracteristicas agronómicas; Rendimiento de los cultivos.
Ano: 2006 URL: http://www.alice.cnptia.embrapa.br/handle/doc/507371
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Consistency of two stability analysis methods in potatoes Ciência Rural
Souza,Velci Queiroz de; Pereira,Arione da Silva; Silva,Giovani Olegário da; Fritsche Neto,Roberto; Oliveira,Antônio Costa de.
The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for estimating yield stability in potatoes. Data of ten genotypes evaluated in 34 environments (local, growing season and year combinations) of the Rio Grande do Sul state, Brazil, in 1994 and 1995 were used. Three data sets were analyzed: 34-environment data set and two 17-environment data subsets, which were chosen by randomly dividing the total data set. For the 34-environment data set, the models gave similar results in relation to the stable genotypes, but they differed with regard to the unstable genotypes. For the 17-environment data sets, the bi-segmented model showed more consistent...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Solanum tuberosum; G x E interaction; AMMI model; Bi-segmented method.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782007000300009
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The identification of outstanding potato cultivars using multivariate methods Ciencia e Investigación Agraria
Pérez,Delfina de J; González,Andrés; Sahagún,Jaime; Vázquez,Luis M; Rivera,Antonio; Franco,Omar; Domínguez,Aurelio.
The evaluation and selection of potato (Solanum tuberosum) cultivars for commercial production in the high valleys of Mexico are important for plant breeding, seed production, and the generation of technology. In this work, ten potato cultivars from five different environments in México were evaluated to determine the proportion of genetic variation contained within each. The potatoes were sown in a completely randomized complete block design. Heritability was determined to be between 53% and 83%, suggesting that there is genetic variability among the potato cultivars that might be agronomically important. According to the additive main effects and multiplicative interaction (AMMI) model, the highest tuber yields were obtained at the locality named...
Tipo: Journal article Palavras-chave: AMMI model; Cluster analysis; Principal component analysis; Solanum tuberosum.
Ano: 2009 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000300006
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Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI. Repositório Alice
ROCHA, M. de M.; VELLO, N. A.; LOPES, Â. C. de A.; MAIA, M. C. C..
The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Piracicaba, Sao Paulo, Brazil, during 4 crop years (1996/97-1999/2000) to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis. Effects of G, E, and GE interaction were significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis accounted for 26% of the sum of squares due to original GE interaction. This concentrated the largest proportion of the pattern of GE interaction. Environments associated with Anhembi and Esalq proved more favourable, while Areao contributed negatively...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Glycine max; Interação GE; Previsibilidade; AMMI model; GE Interaction; Predictability; Soja.
Ano: 2004 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1034753
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Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. Repositório Alice
ROCHA, M. de M.; VELLO, N. A.; LOPES, A. C. dE A.; MAIA, M. C. C..
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in Piracicaba, State of São Paulo, Brazil, during four crop years to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis (AMMI). Effects of the G, E, and GE interaction were found to be significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis (IPCA1) accounted for 26% of the sum of squares due to original GE interaction. This concentrated the largest proportion of the pattern of GE interaction. Environments associated with Anhembi and Esalq proved more favorable, while...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Interação genótipo-ambiente; Adaptabilidade; Adaptability; Estabilidade; Estability; Modelo AMMI; AMMI model; Soja; Glycine max; Rendimento; Soybeans; Genotype-environment interaction; Crop yield; Semillas de soja; Interacción genotipo-ambiente; Rendimiento de los cultivos.
Ano: 2004 URL: http://www.alice.cnptia.embrapa.br/handle/doc/507367
Registros recuperados: 5
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