FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

CORRELATION AND PATH COEFFICIENT ANALYSES OF FINGER MILLET (Eleusine coracana (L.) Gaertn) AT BAGAUDA IN SUDAN SAVANNA OF NIGERIA
Pages: 154-157
M. Gani, M.A. Mahadi, S.A. Dadari, B.A. Babaji and C.P. Shinggu


keywords: Correlation, finger millet, grain yield, poultry manure, sowing method

Abstract

This research was to determine the correlations between grain yield and yield components and to measure the direct and indirect effects of yield components on grain yield of finger millet by using correlation coefficient and path analysis methods, respectively. The research was conducted in the 2013 and 2014 rainy seasons, at the research farm of the National Institute for Horticulture Bagauda, Kano in the Sudan savanna ecology of Nigeria. The treatment consisted of three seed rates (3, 6 and 9 kg ha-1), two sowing methods; broadcast and dibbling and poultry manure at 0, 2.5 and 5.0 t ha-1 and recommended NPK at (90:60:60 kg ha-1). The experiment was laid out in a split-plot design with three replications. The combination of sowing method and poultry manure including NPK were allocated to the main plot, while seed rate in subplot. Agronomic traits such as grain yield, plant height, leaf area index, number of tillers per plant, crop growth rate, panicle length, number of fingers per plant productive tiller per plant, 1000 grain weigh, straw yield ha-1, panicle yield ha-1 and weed parameters such as cumulative weed density and dry weight were determined. Correlation analysis indicated that the grain yield was positively and significantly associated with all the growth and yield characters evaluated but negatively correlated with the weed components. The highest correlation coefficients were found between grain yield and productive tillers per plant and between grain yield and harvest index. The partitioning of the total correlation into direct and indirect contribution showed that productive tillers per plant made greatest individual contribution to yield while productive tillers per plant via harvest index made the highest indirect percent contributions to grain yield of finger millet. Correlation and path analysis revealed that, productive tillers per plant and harvest index are the important yield contributing traits and due critical emphasis needs be given to these traits while selecting for grain yield improvement in finger millet

References

Bulus TA 2002. Performance of Finger milliet (Eleusine coracana L. Geartn) as influenced by nitrogen and phosphorus levels, intra-row spacing and weed interference. A Ph.D Thesis submitted to the Department of Agronomy, Ahmadu Bello University Zaria, Nigeria. Unpublished work. Dewey JR & Lu KH 1959. A correlation and path analysis of components of crested wheat grass seed production. Agronomy J., 51: 515-518. Ganapathy S, Nirmalakumari A & Muthiah AR 2011. Genetic variability and interrealtionship analyses for economic traits in finger millet germplasm. World J. Agric. Sci., 7(2): 185-188. Gani M 2012. Unpublished Ph.D. Thesis Department of Agronomy, Ahmadu Bello University, Zaria, Nigeria. Kumar D, Tyagi V & Ramesh B 2014. Path coefficient analysis for yield and its contributing traits in finger millet. Int. J. Advanced Res., 2(8): 235-240. Little JM & Hills FJ 1978. Agricultural Experimentation: Design and Analysis, John Willey and Sons, Inc., New York, p. 350. Malleshi NG 2005. Finger millet (ragi). The Wonder Grain, IFIS. Available online: http://www.ieis.org/fsc.ixid13110 Accessed: November 17, 2011. McKeown NM 2002. Whole grain intake is favourably associated with metabolic risk factors for type 2 diabetes and cardiovascular disease in the Framingham Offspring Study. Ame. J. Clinical Nutr., 76: 390–398. Sarmezey AAV 1987. Finger millet review of agronomy and breeding 1960-1977. Research Memorandan Zambia, 24: 1-42. Sharavathy MK, Urooj A & Puttaraj S 2001. Nutritionally important starch fractions in cereal based Indian food preparations. Food Chem., 70: 107-111. Sumathi P A, Joel J & Muralitharan V 2006. Inter–trait association and path analysis in finger millet (Eleusine coracana L.Gaertn.). Madras Agric. J., 93(1-6): 115-119. Thacher TD, Fischer PR, Pettifor JM, Lawson JO, Isichei CO & Chan GM 2000. Case–control study of factors associated with nutritional rickets in Nigerian children. J. Pediatric, 137: 367-373. Vanderjagt DJ, Morales M, Thacher TD, Diaz M & Glew RH 2001. Bioeletrical impedence analysis of the body composition of Nigerian children with calcium deficiency rickets, J. Tropical Pediatrics, 47: 92-97. Vanderjagt DJ, Brock HS, Melah GS, El-Nafaty AU, Crossey MJ & Glew RH 2007. Nutritional factors associated with anemia in pregnant woman in northern Nigeria. The J. Health, Population and Nutr., 25: 75-81. Wright S 1921. Correlation and causation. J. Agric. Res., 20: 557–585.

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