Optimal Yield Related Attributes for High Grain Yield using Ontogeny Based Sequential Path Analysis in Barnyard Millet (Echinochloa spp.) | ||
| Journal of Agricultural Science and Technology | ||
| Article 18, Volume 18, Issue 7, 2016, Pages 1933-1944 PDF (541.36 K) | ||
| Authors | ||
| S. Sood* ; R. K. Khulbe; L. Kant | ||
| Indian Council of Agricultural Research (ICAR), -Vivekananda Institute of Hill Agriculture, Almora, Uttarakhand, 263 601, India. | ||
| Abstract | ||
| Relationship between grain yield and its component traits can improve the efficiency of breeding programs by determining appropriate selection criteria. An investigation was carried out on barnyard millet (Echinochloa spp.) global germplasm collection to investigate the association among yield components and their direct and indirect effects on the grain yield of barnyard millet. The experiment was conducted in 2011 and 2012 in augmented and alpha lattice design, respectively. The results of correlation coefficients indicated that grain yield had high significant and positive association with flag leaf width and culm thickness during both years, whereas negative association of grain yield was observed with basal tillers and peduncle length. Simple path analysis indicated high direct effects of panicle exertion, flag leaf sheath length, flag leaf width and days to maturity in 2011; and flag leaf width and raceme number in 2012. However, these high direct estimates were biased due to multicolinearity. Therefore, ontogeny based sequential path analysis was used to establish the causal relationships determining grain yield in barnyard millet. Based on the results over the years, culm thickness and raceme number were found to be important traits for indirect selection. The other important traits suggested for inclusion in selection index were inflorescence length, plant height, flag leaf length, inflorescence width and number of basal tillers per plant. | ||
| Keywords | ||
| Causal relationship; Correlation; Multicolinearity; Predictor variables; Structural Equation Modelling | ||
| References | ||
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