Abstract
Thirty-eight high- and low-cyanide cassava genotypes were examined in the 2004 and 2005 cropping seasons at Umudike, southeastern Nigeria using RCBD with three replications. Simple correlation associations and path coefficients analyses were computed among agronomic characters with the aim of understanding the interrelationships of these characters and the extent of their contribution to the root yield of cassava. There was a significant (P 2 0.05) positive correlation between root yield and number of roots plant-1 with correlation coefficients (r) of 0.57, average weight of root (r = 0.58) in high-cyanide cassava genotypes, while in low cyanide cassava genotypes, fresh root yield was highly significantly (P 2 0.01) correlated with average weight of root (r = 0.74). Path analysis showed that average weight of root had the highest direct effect in high (0.66) and in low cyanide (0.67) cassava genotypes. Also, the number of roots plant-1 in both types of cassava exerted a positive direct effect on fresh root yield, however, a minimum effect was obtained by number of leaves plant-1 (0.22) in high-cyanide cassava and number of stems plant-1 (-0.13) in lowcyanide cassava genotypes. Average weight of roots in high- and low-cyanide cassava genotypes had 98 and 89% direct effects, respectively, on yield of cassava. The results indicated the importance of average weight of roots and other characters such as number of roots plant-1, plant height, and number of leaves plant-1 in determining increased yield hence priority must be accorded it during selection aimed at increasing cassava root yield.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Adeniji OT, Odo PE, Ibrahim B. 2011. Genetic relationships and selection indices for cassava root yield in Adamawa State, Nigeria. Afr. J. Agric. Res. 6: 2931–2934
Aina OO, Dixon AGO, Akinrinde EA. 2007. Trait association and path analysis for cassava genotypes in four agroecological zones of Nigeria. J. Bio. Sci. 7: 759–764
Akoroda MO. 1984. Variability, repeatability, character correlation and path coefficient analyses in yellow yam. Theor. Appl. Genet. 69: 217–221
Ali Q, Elahi M, Ahsan M, Tahir MHN, Basra SMA. 2011. Genetic evaluation of maize (Zea mays L.) genotypes at seedling stage under moisture stress. Internal. J. Agro. Vet. Med. Sci. 5: 184–193
Asghari-Zakaria R, Fathi M, Hasan-Panah D. 2006. Sequential path analysis of yield components in potato. Potato Res. 49: 273–279
Bashir S, Ali A, Qamar IA, Arshad M, Sheikh S, Asif M. 2001. Correlation of economically important traits in warm-season forage Legume species. J. Bio. Sci. 1: 97–98
Bizeti HS, Portela de Carvalho CG, Souza JRP, Destro D. 2004. Path analysis under multicollinearity in soybean. Braz. Arch. Bio. & Tech. 47: 669–676
Bremner JM. 1996. Nitrogen-Total. In: Methods of Soil Analysis, Chemical Methods, Ed 3, Vol 5. Soil Science Society of American and American Society of Agronomy, Madison, Wisconsin, pp 1035–1122
Denton OA, Nwangburuka CC. 2011. Heritability, genetic advance and character association in six yield related characters of Solanum anguiri. Asian J. Agric. Res. 5: 201–207
Dewey DR, Lu KH. 1959. A correlation and path coefficient analysis of components of crested wheatgrass seed production. Agron. J. 51: 515–518
Ekvised S, Jogly S, Akkasaeng C, Keeratikasikor M, Kesmala T, Buddhasimma I, Patanothai A. 2006. Heritability and correlation of thrips resistance and agronomic traits in peanut. Asian J. Plant Sci. 5: 923–931
Genstat Committee. 2002. Reference Manual (Genstat Release 7). VSN International, Oxford, UK
George J, Scott M, Rosegrant W, Claudia K. 2000. Roots and tubers in the 21st century. Trends, projections and policy options. Food Agric. Environ. Discussion, paper 31, Internal. Food Policy Res. Inst. Washington
Gomes CN, Carvalho SPde, Jesus AMS, Custodio TN. 2007. Morphoagronomic characterization and path analysis of production components in cassava clones. Pesq. Agropec. Braz. 42: 1121–1130
Hossain MD, Rabbani MG, Mollah MLR. 2000. Genetic variability correlation and path analysis of yield contributing characters in sweet potato Ipomea batatas Lam. Pak. J. Sci. Ind. Res. 43: 314–318
Jackson ML. 1973. Soil Chemical Analysis, Prentic Hall of India, PV M. Lvt. Ltd., New Delhi, 498 pp
Jiregna T, Derbew B, Kasshun B. 2012. Genetic associations analysis among some traits of tomato (Lycopersicon esculentum Mill) genotypes in West Showa, Ethiopia. Int. J. Plant Breed. Genet. 6: 129–139
Miller PA, Williams JC, Robinson HF, Comstock RE. 1958. Estimates of genotypic and environmental variances and covariances in upland cotton and their implications in selection. Agron. J. 50: 126–131
Mondal MMA, Hkim MA, Juraimi AS, Azad MAK. 2011. Contribution of morpho-physiological attributes in determining the yield of mungbean. Afr. J. Biotech. 10: 12897–12904
Mulualam T, Ayenew B. 2012. Correlation and path coefficient analysis of cassava (Manihot esculenta Crantz) at Jimma, southwestern, Ethiopia. J. Nat. Sci. Res. 2: 1–7
Mulualam T, Dagne Y. 2013. Studies on correlation and path analysis for root yield and related traits of cassava (Manihot esculenta Crantz) in South Ethiopia. J. Plant Sci. 1: 33–38
Ntawuruhunga P, Dixon AGO. 2010. Quantitative variation and interrelationship between factors influencing cassava yield. J. App. Biosci. 26: 1594–1602
Rubaihayo PR, Whyte JBA, Dixon A. G.O, Osiru, DSO. 2001. Inter-relationships among traits and path analysis for yield components of cassava: A search for storage root yield indicators. Afr. Crop Sci. J. 9: 599–606
Olson SR, Sommers LE. 1982. Phosphorus. In: Method of Soil Analysis. Agron. Monogr. Ed 2, No 9. Madison, Wisconsin, pp 403–431
Onwueme IC. 1978. The Tropical tuber crops: Yams, Cassava, Sweet potato, and Cocoyams. John Wiley and Sons Inc., New York, 234 pp.
Padma SSV, Kameswari PL, Ramana KTV. 2009. Correlation studies and path analysis in edible cassava germplasm in the tribal zone of Andhra Pradesh. Indian. J. Hort. 66: 319–322
Paul KK, Bari MA, Debnath SC. 2011. Correlation and path coefficient studies for plant characters in aqua aroids, Colocasia esculenta L. Schott. J. Sci. Res. 3: 169–176
Santana MA, Vasquez V, Matehu J, Aldao RR. 2002. Linamarase expression in cassava cultivars with roots of low- and high- cyanide content. Plant Physiol. 129: 1686–1694
Singh RK, Chaudhary BD. 1977. Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi, 318 pp
Snedecor GW, Cochran WG. 1980. Statistical Methods. The Iowa State University Press, Ames, Iowa, 507 pp
Tsegaye E, Sastry EVD, Dechassa N. 2006. Correlation and path analysis in sweet potato and their implications for clonal selection. J. Agron. 5: 391–395
Walkley A, Black, AI. 1934. In: Examination of the Degtagareff. Methods of determining soil organic matter and a proposed modification of the chronic acid titration method. Soil Sci. 37: 29–38
Wang Q, Zhang T, Cul J, Wang X, Zhou H, Han J, Gislum R. 2011. Path and ridge regression analysis of seed yield and components of Russian wildrye (Psathyrostachys juncea Nevski) under field conditions. PLoS ONE 6: 1–10 e18245
Wright S. 1960. Path coefficient and path regression: alternative or complementary concepts? Biomet. 16: 189–202
Xinglu L. 2001. Correlation and path analysis of agronomic characters of cassava. Chinese Agric. Sci. Bull. 3, 013
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Okpara, D.A., Mbah, E.U. & Ojikpong, T.O. Association and Path Coefficients Analysis of Fresh Root Yield of High and Low Cyanide Cassava (Manihot esculenta Crantz) Genotypes in the Humid Tropics. J. Crop Sci. Biotechnol. 17, 103–109 (2014). https://doi.org/10.1007/s12892-013-0085-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12892-013-0085-7