Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | August 1, 2013

| Download 2

Study of relationship between oil quality traits with agro-morphological traits in peanut genotypes by canonical correlation analysis

Parviz Safari, Seyyedeh Fatemeh Danyali, Rahim Honarnejad, Masoud Esfahani

Key Words: Peanut, Canonical correlation analysis, Oil quality

Int. J. Biosci.3(8), 1-10, August 2013

DOI: http://dx.doi.org/10.12692/ijb/3.8.1-10


IJB 2013 [Generate Certificate]


Seed quality traits of the plants may directly or indirectly depend on agro-morphological traits. Thus the determination between agronomical and oil quality characters of the plants may be important for plant scientists. The relation between agronomical and oil quality traits were studied by using Canonical Correlation Analysis (CCA) in peanut genotypes. CCA is a multivariate statistical model that facilitates the study of interrelationships among sets of multiple dependent variables and multiple independent variables. As a result, the canonical correlation between the first canonical variate pair was found as 0.897. Five canonical functions obtained from morphological and agronomical traits, had attributed about 70% from variation in the oil quality traits. It can be concluded that CCA can be used to simplify the relationship between agro-morphological and oil quality traits of the peanut.


Copyright © 2013
By Authors and International Network for
Natural Sciences (INNSPUB)
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Study of relationship between oil quality traits with agro-morphological traits in peanut genotypes by canonical correlation analysis

Anonymous. 1981. Groundnut Descriptors. IBGR and ICRISAT. AGP:IBGR/80/66.

Anderson PC, Hill K, Gorbet DW, Brodbeck BV.1998.  Fatty  Acid  and  Amino  Acid  Profiles  of Selected Peanut Cultivars and Breeding Lines. Journal of Food Composition and Analysis 11, 100-111. http://dx.doi.org/10.1006/jfca.1998.0565

Dillon WR, Goldstein M. 1984. Multivariate Analysis: Methods and Applications, Wiley,  New York.

Gaydou EM, Bianchini JP, Ratovogery J. 1983. Triterpene alcohols, methyl sterols, sterols, and fatty acids five Malagasy legume seed oils. Journal of Agricultural Food Chemistry 31, 833-836. http://dx.doi.org/10.1021/jf00118a039

Green PE. 1978. Analyzing Multivariate Data. Hinsdale, Ill, Holt, Rinehart, & Winston.

Grosso NR, Nepote V, Guzman CA. 2000. Chemical composition of some wild peanut species (Arachis) seeds. Journal of Agricultural Food Chemistry 48, 806-809. http://dx.doi.org/10.1021/jf9901744

Grosso NR, Lucini EI, Lopez AG, Guzman CA. 1999. Chemical composition of aboriginal peanut (Arachis hypogaea L.) seeds from Uruguay. Grasas y Aceites 50, 203-207. http://dx.doi.org/10.3989/gya.1999.v50.i3.657

Grosso NR, Zygadlo JA, Lamarque AL, Maestri DM, Guzman CA. 1997. Proximate, fatty acid and sterol compositions of aboriginal peanut (Arachis hypogaea L.) seeds from Bolivia. Journal of the Science of Food and Agriculture 73, 249-356. http://dx.doi.org/10.1002/(SICI)1097-0010(199703)73:3<349::AID-JSFA736>3.3.CO;2-5

Grosso NR, Guzman CA. 1995. Chemical composition of Aboriginal peanut (Arachis hypogaea L.) seeds from Peru. Journal of the Science of Food and Agriculture 43, 102-105. http://dx.doi.org/10.1021/jf00049a019

Hair Jr JF, Anderson RE, Tatham RL, Black WC. 1998. Multivariate Data Analysis, fifth ed., Prentice Hall, Inc.

Hisil Y.  1998.  Instrumental  Analysis  Techniques. Ege Univ Engineer Fac Publ Nu 55, Bornova-Izmir.

Hotelling H. 1935. The most predictable criterion. Journal of Educational Psychology 26, 139-142. http://dx.doi.org/10.1037/h0058165

Hotelling H. 1936. Relations between two sets of variables. Biometrika 28, 321-377. http://dx.doi.org/10.2307/2333955

Jambunathan R, Sridhar R, Raghunath  K, Dwivedi SL, Nigam SN. 1993. Oil quality characteristics and headspace volatiles of newly released groundnut (Arachis hypogaea L.) cultivars. Journal of the Science of Food and Agriculture 61, 23-30. http://dx.doi.org/10.1002/jsfa.2740610105

Johnson Z, Brown AH, Brown CJ. 1980. Canonical correlation analyses of postweaning body measurements and feedlot performance of bulls. Bulletin 843, Division of Agriculture, University of Arkansas, FayeteWille.

Keskin S, Yasar F. 2007. Use of canonical correlation analysis for determination of relationships among several traits in egg plant (Solanum melongena L.) under salt stress. Pakistan Journal of Botany 39(5), 1547-1552.

Kshirsagar AM. 1972. Multivariate Analysis, New York: Marcel Dekker, Inc.

Lambert Z, Durand R. 1975. Precautions in Using Canonical Analysis. Journal of Marketing Research 12, 468–75. http://dx.doi.org/10.2307/3151100

Levine MS. 1977. Canonical analysis and factor comparison. Sage Publications, Newbury Park. CA.

Liu J, Drane W, Liu X, Wu T. 2009. Examination of the relationships between environmental exposures to volatile organic compounds and biochemical liver tests: Application of canonical correlation analysis. Environmental Research 109, 193-199. http://dx.doi.org/10.1016/j.envres.2008.11.002

Mercer LC, Wynne JC, Young CT. 1990. Inheritance of fatty acid content in peanut oil. Peanut Science 17, 17-21. http://dx.doi.org/10.3146/i0095-3679-17-1-7

Norman PE, Tongoona P, Shanahan PE. 2012. Determination of associations between three morphological and two cytological traits of yams (Dioscorea spp.) using canonical correlation analysis. African Journal of Agricultural Research 7(17), 2674-2678.

O’Brien RD. 1998. Fats and Oils Formulating and Processing for Applications. Technomic Publishing Co., Inc. Lancaster-USA.

Raheja RK, Batta SK, Ahuja KL, Labana KS, Singh M. 1987. Comparison of oil content and fatty acid  composition  of  peanut  genotypes  differing  in growth habit. Plant Foods for Human Nutrition 37, 103-108. http://dx.doi.org/10.1007/BF01092045

Sadeghi SM, Niyaki SAN. 2012. Genetic Correlation and Path-Coefficient Analysis of Oil Yield and its Components in peanut (Arachis hypogaea L.) genotypes under Drought and Non-drought Stress Condition. Journal of Basic and Applied Scientific Research 2(7), 6561-6565.

SAS. 1985. SAS Introductory Guide. 3rd edn. N. C.

Sharma S. 1996. Applied Multivariate Techniques. John Wiley and Sons, Inc., Canada, p. 391-404.

Soxhlet F. 1879. Bestimmung des Milchfettes. Polytechnisches J. (Dingler’s) 232, 461

Tai YP, Young CT. 1975. Genetic studies of peanut proteins and oils. Journal of the American Oil Chemists Society 52, 377-385. http://dx.doi.org/10.1007/BF02639201

Thompson B. 1991. Measurement and Evaluation in Counseling. Development 24, 80-93.

Treadwell K, Young CT, Wynn JC. 1983. Evaluation of fatty acid content of forty peanut cultivars. Oleagineux 38, 381-388.

Yaprk M, Koycegiz F, Kutluca M, Emsen E, Ockerman HW. 2008. Canonical correlation analysis of body measurements, growth performance and carcass traits of red karaman lambs. Journal of Animal and Veterinary Advances 7(2), 130-136.

Yoshida H, Hirakawa Y, Tomiyama Y, Nagamizu T, Mizushina Y.  2005.  Fatty acid distributions of triacylglycerols and phospholipids in peanut seeds (Arachis hypogaea L.) following microwave treatment. Journal of Food Composition and Analysis 18, 3–14. http://dx.doi.org/10.1016/j.jfca.2003.12.004

Young JE. 1981. The use of canonical correlation analysis in the investigation of relationships between plant growth and environmental factors. Annals of Botany 48(6), 811-825.