Totok Agung D.H., Fuad Nur Azis, Ponendi Hidayat, Dyah Susanti, Agus Riyanto, Shao Hui Zheng


Current research was conducted with the objectives to identify the utmost traits that may be beneficial for the higher productivity of the grains on high protein content genotypes lines by path coefficient. Path coefficient can define coefficient correlation directly and indirectly to gain information about nature relationship between yield component and protein content to grain yield. Research material consisted of 61 selected plants from G39×Ciherang and 66 selected plants from Mentik Wangi×G39 at F4 generation. Plants were planted in Banyumas in May 2011. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage of filled grain per panicle, protein content, and grain yield were correlated by using Pearson correlation and were followed by path coefficient. Number of panicles per plant, panicle length, 1000 g of grain weight, percentage filled grain per panicle, and protein content were used as dependent variable, while grain yield was used as independent variable. The result showed that protein content in both populations was not correlated with all yield components. The numbers of panicles, followed by panicle length, had highest positive direct effect to yield. The number of panicle was a positive mediator variable to yield from another variable.

Keywords: correlation, direct effect, indirect effect, mediator variable, path analysis

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Bhatt, G. M. 1973. Significance of path coefficient analysis in determining the nature of character association. Euphytica, 22(2): 338-343.

Dewey, R. Douglas and K. H. Lu. 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal. 51.9: 515-518.

Edwards, J. R. and L. S. Lambert 2007. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. Psychological methods. 12(1):1.

Garson, G. D. 2008. Path analysis. from Statnotes: Topics in Multivariate Analysis. Retrieved. 9:05.

Indrasari, S.D. 2006. Mineral Content in Excellent Paddy Cultivar and its correlation with Health (in Indonesian). Science and Technology (Iptek) in Crops. 1:88-99.

Juliano, B.O. 1993. Rice in Human Nutrition (FAO Food and Nutrition Series. No. 26). FAO: Rome. pp 162.

MacKinnon, D. P., C.M. Lockwood, J.M. Hoffman, S.G. West and V. Sheets. 2002. A comparison of methods to test mediation and other intervening variable effects. Psychological methods, 7(1):83.

Matsue, Y., K. Odahara and M. Hiramatsu. 1994. Differences in protein content, amylose content and palatability in relation to location of grains within rice panicle. Japanese Journal of Crop Science. 63(2):271-277.

Pangan, D. K. 2012. General Policy on Food Security 2006–2009. Food and Nutrition Journal. 1(1):57-63.

Panuju, D. R., K. Mizuno and B. H. Trisasongko. 2013. The dynamics of rice production in Indonesia 1961–2009. Journal of the Saudi Society of Agricultural Sciences. 12(1), 27-37.

Prasad, B., A. K. Patwari and P. S. Biswas. 2001. Genetic Variability and Selection Criteria in Fine Rice (Oryza sativa L.). Pakistan Journal of Biological Science. 4(10):1188-1190.

Shipley, B. 2002. Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference. Cambridge University Press: Cambridge. pp. 317.

Sumaryanto, S. Friyatno and B. Irawan. 2001. Land Conversion from Paddy Fields to Non-agricultural Lands and Its Negative Impacts. National Seminar on Paddy Field Multifunction (In Indonesian). The Department of Agriculture: pp. 1-18.

Susanto, U., A.A. Daradjat and B. Suprihatno. 2003. The Development of Plant Breeding in Paddy Field in Indonesia (in Indonesian). Agricultural Development and Research. Vol 22(3). 125-131.

Wright, S. 1934. The Method of Path Coefficient. Annals of Mathematical Statistics. 5(3): 161–215.