2006
DOI: 10.1590/s0103-90162006000100003
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Abstract: Indirect selection through traits of higher heritability and of case measurements can result in larger genetic progress compared to using direct selection. This work was performed with the following objectives: (1) to estimative the phenotypic correlations between individual plant grain yield and agronomic traits of importance in the selection of white oat (Avena sativa L.) genotypes; (2) to identify traits that have the higher direct and indirect effects on grain yield; (3) to determine the intensity of assoc… Show more

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Cited by 19 publications
(14 citation statements)
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“…Este fato é indesejável para cultura da aveia, uma vez que estudos recentes demonstram que o caráter NP P -1 está correlacionado com PG P -1 , sendo, portanto, de considerável importância na escolha de constituições genéticas que maximizem a produção em aveia (LORENCETTI et al, 2006). Por outro lado, para o caráter PP, deve ser enfatizado o uso deste genótipo (UPF 18) em programas de melhoramento, seja na recomendação de genótipos elite ou na indicação de cruzamentos com o objetivo de seleção indireta através do PG P -1 em virtude do elevado valor de CGC para PP.…”
Section: Discussõesunclassified
“…Este fato é indesejável para cultura da aveia, uma vez que estudos recentes demonstram que o caráter NP P -1 está correlacionado com PG P -1 , sendo, portanto, de considerável importância na escolha de constituições genéticas que maximizem a produção em aveia (LORENCETTI et al, 2006). Por outro lado, para o caráter PP, deve ser enfatizado o uso deste genótipo (UPF 18) em programas de melhoramento, seja na recomendação de genótipos elite ou na indicação de cruzamentos com o objetivo de seleção indireta através do PG P -1 em virtude do elevado valor de CGC para PP.…”
Section: Discussõesunclassified
“…So, toward a clear understanding of the type of plant traits, correlation and path coefficient analysis are logical steps (Kashif and Khaliq, 2004). Path analysis is a tool that is available to the breeder for better understanding the cause involved in the associations between traits and to partition the existing correlation in to direct and indirect effects, through a main variables (Lorencetti et al, 2006). Generally, this method provides more information among variables than do correlation coefficients since this analysis provides the direct effects of specific yield components on yield, and indirect effects via other yield components (Garcia del Moral et al, 2003).…”
Section: Introductionmentioning
confidence: 99%
“…Multiple and stepwise multiple regression analysis have need to validate the degree of association among the traits and their combination to develop the selection criteria for yield improvement. Path analysis is a tool that helps for better understanding the relationship between predictor and response (Rodriguez et al, 2001); and also useful to partition the existing correlation into direct and indirect effects (Lorencetti et al, 2006).…”
Section: Introductionmentioning
confidence: 99%