Capacidade combinatória de linhagens de pimentão a partir de análise dialélica multivariada

Abstract

RESUMO.O trabalho teve como objetivo gerar informações sobre a capacidade combinatória de linhagens de pimentão por meio da análise dialélica multivariada. Foram utilizadas 13 linhagens de pimentão previamente selecionadas com base na reação ao mosaico amarelo do pimentão, sendo oito linhagens com reação do tipo resistência e cinco com reação do tipo suscetibilidade, num dialelo 8 x 5, mais as linhagens parentais. Os 53 tratamentos foram avaliados em estufa em delineamento de blocos casualizados com quatro repetições, sendo avaliadas a produção total e precoce de frutos, massa média de frutos e altura de plantas. A partir dessas quatro características foi realizada a análise dialélica univariada e multivariada. A análise dialélica multivariada apresentou resultados semelhantes às análises dialélicas univariadas, com predominância dos efeitos não-aditivos. Estimativas favoráveis para CGC ocorreram para as características produção total e precoce de frutos nas linhagens PIX-031D-188-14-10 e PIM-013 nos grupos 1 e 2, respectivamente. As linhagens PIX-031D-171-10-10, PIX-031D-188-14-05 e PIM-004 destacaram-se para massa média de frutos e altura de plantas. As estimativas de CEC variaram bastante para as características avaliadas. A utilização da análise dialélica multivariada é uma boa opção para escolha de genitores, pois considera vários caracteres simultaneamente.Palavras-chave: Capsicum annuum, heterose, efeito gênico, seleção.ABSTRACT. Combining ability of sweet pepper lines by multivariate diallel analysis. The objective of this work was to obtain information on the combining ability of sweet pepper lines by multivariate diallel analysis. Thirteen sweet pepper lines previously selected based on the reaction of sweet pepper yellow mosaic, being eight lines with resistance reaction and five susceptible lines, were used in a 8x5 partial diallel evaluated with the parental lines. The 53 genotypes were evaluated in greenhouse trials in a randomized blocks design with four replications. The traits total fruit yield, early fruit yield, mean fruit mass and plant height were evaluated. From these four traits, a univariate and multivariate diallel analysis was performed. Multivariate diallel analysis results were similar to those from univariate diallel analyses, with a predominance of non-additive effects. Favorable estimates of the GCA occurred for total fruit yield and early fruit yield in PIX-031D-188-14-10 and PIM-013 in groups 1 and 2, respectively. The PIX-031D-171-10-10, PIX-031D-188-14-05 and PIM-004 lines were higher for mean fruit mass and plant height. The SCA estimates varied considerably for the evaluated features. Multivariate diallel analysis is a good option for parental choice, since it considers several characters simultaneously.

Identifying superior spring wheat genotypes through diallel approaches

“…The agreement between these methods with respect to the GCA can be evaluated based on the magnitude of their associations (Griffing x PC1 = 0.81; Griffing x REML/BLUP = 0.99 and PC1 x REML/BLUP = 0.89) ( Table 3). A positive correlation between Griffing and REML/BLUP (Valério et al, 2009;Nascimento et al, 2010;Baldissera et al, 2012) and between Griffing and GGE biplot (Darvishzadeh et al, 2009;Bocánski et al, 2011) was also observed by other authors. The combination CD 150 x Fundacep Cristalino presented the highest observed (5521 kg ha -1 ) and predicted (5437 kg ha -1 ) GY averages, and positive values for SCA according to the Griffing, multivariate (PC1, PC2 and PC3) and REML/BLUP analysis (Table 2).…”

“…It implies that the wheat parents used in this study have complementary genes, and these traits can be assessed together in the diallel analysis. Significant effects of the GCA and SCA based on multivariate diallel analysis also were observed by Benin et al (2009) and Nascimento et al (2010) in wheat and sweet pepper, respectively.…”

Estimates of heterosisparameters in elephant grass (Pennisetumpurpureum Schumach.) for bioenergy production

“…For HGT, the mean square of specific heterosis was significant (P < 0.01). According to Nascimento et al (2010), the significant difference between groups and the significant effect of specific heterosis on HGT, indicates the participation of additive and non-additive effects on this trait.…”

Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust

“…To overcome this restriction, a multivariate diallel approach can be performed, enabling the study of two or more traits simultaneously (Ledo et al 2003). Research studies applying multivariate diallel analysis are available for several important crops, including wheat (Benin et al 2009), sweet passionfruit (Jung et al 2007), popcorn (Gonçalves et al 2014), Jatropha (Teodoro et al 2017) sweet pepper (Nascimento et al 2010) andsoybean (Amaral et al 2004).…”