A Path Coefficient Analysis of Some Yield Component Interrelations in Field Beans (Phaseolus vulgaris L.)¹

Abstract

A path‐coefficient analysis was performed in field beans of the direct and indirect effects of leaf number and leaf size upon number of pods per plant, number of seeds per pod, and seed weight, and of the latter components upon yield. The data on which the analysis was based were obtained from F3 and F4 families in a recurrent selection experiment grown at three locations. Selection had been practiced for each component separately, at three levels of expression (high, modal, low), in sub‐populations maintained at each of the three locations.The chief findings were: 1) Pods/plants exerts a preponderant effect upon yield in every set of families studied.2)In families where selection had produced divergent types with respect to seed number per pod, and seed weight, these components also assumed major roles in determining yield.3) Leaf number was highly associated with pod number per plant and leaf size was highly associated with seed size in families selected for high, modal, and low levels of expression of the two leaf area components.Interpretations of these findings are given, based first on a common genetic program regulating the number of main stem internodes, and secondly on another genetic program regulating leaf cell number and/or rate of expansion. The rationale connecting these fundamental characteristics with the first‐ and second‐order yield components is given.

Yield Components in Mung Bean [Vigna radiata (L.) Wilczek]

“…Path coefficientanalysis ishelpful to determine the direct contribution of yield components and their indirect contributionsover other traits on grain yield (Dewey and Lu, 1959). Path analysis has been widely used to determine direct andindirect selection criteria in food legumes (Duarte and Adams, 1972;Bahl et al, 1976;Islam and Shaikh, 1978;Toker and Cagirgan, 2003). Cattel (1965) explained that the factor analysis has decreased a large number of correlated variables to a small number of main factors.…”

Número necessário de experimentos para a análise de trilha em feijão

“…A análise de trilha permite desdobrar esses coeficientes em efeitos diretos e indiretos de variáveis explicativas sobre uma variável principal (CRUZ & REGAZZI, 1997;CRUZ & CARNEIRO, 2003). Análises de trilha, comumente realizadas a partir de dados de um experimento, têm sido utilizadas na cultura de feijoeiro (DUARTE & ADAMS, 1972;COIMBRA et al, 1999;KUREK et al, 2001;FURTADO et al, 2002;DURSUN, 2007). De maneira geral, nesses trabalhos, a análise de trilha tem destacado que há associação linear de causa e efeito entre o caráter número de vagens por planta e a produtividade de grãos, evidenciando que o número de vagens por planta é um caráter adequado para a seleção indireta.…”

Interrelationships between seed yield and 20 related traits of 49 canola (Brassica napus L.) genotypes in non-stressed and water-stressed environments

“…Determination of correlation coefficients is an important statistical procedure to evaluate breeding programs for high yield, as well as to examine direct and indirect contributions to yield variables (Mohammad et al, 2002). Path coefficient analysis is a statistical technique for partitioning correlation coefficients into direct and indirect effects, so the contribution of each trait, to seed yield, can be estimated (Dewey and Lu, 1959;Duarte and Adams, 1972).…”