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http://dx.doi.org/10.5713/ajas.2008.80106

Canonical Correlation Analysis for Estimation of Relationships between Sexual Maturity and Egg Production Traits upon Availability of Nutrients in Pullets  

Cankaya, Soner (Ondokuz Mayis University, Faculty of Agriculture, Department of Animal Science)
Ocak, Nuh (Ondokuz Mayis University, Faculty of Agriculture, Department of Animal Science)
Sungu, Murat (Ondokuz Mayis University, Faculty of Agriculture, Department of Animal Science)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.21, no.11, 2008 , pp. 1576-1584 More about this Journal
Abstract
In this study, canonical correlation analysis (CCA) was applied to estimate the relationship between three different sexual maturity traits (X set: days to first egg (DFE), weight of the first egg (WFE), body weight at first egg (BWFE)) and level of nutrient intake (Y set: energy (EI) and protein intake (PI)) or the egg production traits at two different periods (Z set: number of egg (NE1 and NET) and weight of egg (WE1 and WET) from 22 to 25 (Wfirst) and 22 to 33 wk of age (Wall), respectively), which were measured from 64 egg-type pullets (Isa Brown) manipulated for time of access to energy and protein sources to onset of egg production. Partial CCA (PCCA) was used to eliminate the contribution of differences in the levels of nutrient intake to canonical variables for X and Z sets at the first production period. Estimated canonical correlation coefficients between X set and Y set (0.429, p = 0.042), X set and Z set (0.390, p = 0.007 for Wfirst) and within Z set (between Wfirst and Wall; 0.780, p<0.001), and partial canonical correlation coefficient between X set and Z set (0.415, p = 0.009) were significant. Canonical weights and loadings from CCA indicated that the BWFE had the largest contribution compared to the DFE and WFE to variation of egg number produced at two different periods. The results from PCCA indicated that the contribution of PI and EI to the degree of the correlation between canonical variables for X and Z sets were unfavourable. In conclusion, the effect of body weight at sexual maturity upon the availability of nutrients can have a higher contribution to variation of egg production in pullets if the contribution of differences in nutrient intakes to onset of egg production were eliminated.
Keywords
Canonical Correlation Analysis; Canonical Variable; Sexual Maturity; Nutrient Intake; Egg Production; Layer; Pullet;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
Times Cited By Web Of Science : 2  (Related Records In Web of Science)
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1 Flock, D. K. 1998. Genetic-economic aspects of feed efficiency in laying hens. World's Poult. Sci. J. 54:225-239.   DOI
2 Gunderson, B. K. and R. J. Muirhead. 1997. On estimating the dimensionality in canonical correlation analysis. J. Multivariate Anal. 62:121-136.   DOI   ScienceOn
3 Hair, J. F. Jr., R. E. Anderson, R. L. Tatham and W. C. Black. 1998. Multivariate Data Analysis. 5th edn. Upper Saddle River (NJ): Prentice Hall, Inc.
4 Jackson, N. 2006. Effect of restricting the energy intake of the laying hen, directly and by dilution of the diet, on egg production and the efficiency of energy utilisation. J. Sci. Food Agr. 23:413-428.   DOI
5 Akbas, Y. and C. Takma. 2005. Canonical correlation analysis for studying the relationship between egg production traits and body weight, egg weight and age at sexual maturity in layers. Czech J. Anim. Sci. 50:163-168.
6 Al-kandari, N. and I. T. Jolliffe. 1997. Variable selection and interpretation in canonical correlation analysis. Commun. Statist.-Simula. 26:873-900.   DOI   ScienceOn
7 Brody, T., P. B. Siegel and J. A. Cherry. 1984. Age, body weight and body composition requirements for the onset of sexual maturity of dwarf and normal chickens. Br. Poult. Sci. 25:245-252.   DOI   ScienceOn
8 Camci, O., C. Erensayin and S. Aktan. 2002. Relations between age at sexual maturity and some production characteristics in quails. Arch. Geflugelk. 66:280-282.
9 SAS Institute Inc. 1989. SAS/STAT User's Guide: Version 6. 4th edn. SAS Institute Inc., Cary, North Carolina.
10 Ocak, N. and G. Erener. 2005. The effects of restricted feeding and feed form on growth, carcass characteristics and days to first egg of Japanese quail (Coturnix coturnix japonica). Asian-Aust. J. Anim. Sci. 18:1479-1484.   과학기술학회마을   DOI
11 Olver, M. D. and D. D. Malan. 2000. The effect of choice-feeding from 7 weeks of age on the production characteristics of laying hens. S. Afr. J. Anim. Sci. 30:110-114.
12 Scott, T. A. and D. Balnave. 1988. Comparison between concentrated complete diets and self-selection for feeding sexually-maturing pullets at hot and cold temperatures. Br. Poult. Sci. 29:613-625.   DOI
13 Sezer, M. 2007. Genetic parameters estimated for sexual maturity and weekly live weights of Japanese quail (Coturnix coturnix japonica) Asian-Aust. J. Anim. Sci. 20:19-24.   과학기술학회마을
14 Sharma, S. 1996. Applied Multivariate Techniques. John Wiley & Sons, Inc. New York.
15 Dunnington, E. A. and P. B. Siegel. 1984. Age and body weight at sexual maturity in female White Leghorn chickens. Poult. Sci. 63:828-830.   DOI   ScienceOn
16 Cankaya, S. 2005. Canonical correlation analysis and its applications. Ph.D. Thesis, University of Cukurova, Adana, Turkey.
17 Cankaya, S. and G. T. Kayaalp. 2007. Estimation of relationship between live weights and some body measurements in German $Farm{\times}Hair$ crossbred by canonical correlation analysis. J. Anim. Prod. 48:27-32.
18 Ding, S. T., Y. K. Ko, B. R. Ou, P. H. Wang, C. L. Chen, M. C. Huang, Y. P. Lee, E. C. Lin, C. F. Chen, H. W. Lin and W. T. K. Cheng. 2008. The expression of genes related to egg production in the liver of Taiwan country chickens. Asian-Aust. J. Anim. Sci. 21:19-24.   과학기술학회마을   DOI
19 Sungu, M. 2007. The effect of choice feeding at the stage of pullets of layer hens on some growth traits and egg production. MSc. Thesis, University of Ondokuz Mayis, Samsun.
20 Thompson, B. 1984. Canonical correlation analysis: Uses and interpretation. Sage Publications, Inc. California.
21 Timm, N. H. 2002. Applied multivariate analysis. Springer-Verlag, Inc. New York.
22 Zhong, L. L., J. H. Yao, N. Cheng, Y. J. Sun, Y. R. Liu, Y. J. Wang, X. Q. Sun and H. B. Xi. 2007. Effects of supplementing with single or multiple trace minerals on growth performance, fecal mineral excretion and nutrient utilization in pullets from 1 to 18 weeks of age. Asian-Aust. J. Anim. Sci. 20:976-982.   과학기술학회마을   DOI
23 Kwakkel, R. P., J. A. W. Vanesch, B. J. Ducro and W. J. Koops. 1995. Onset of lay related to multiphasic growth and body-composition in white leghorn pullets provided ad-libitum and restricted diets. Poult. Sci. 74:821-832.   DOI   ScienceOn
24 Keshavarz, K. 1998. Investigation on the possibility of reducing protein, phosphorus, and calcium requirements of laying hens by manipulation of time of access to these nutrients. Poult. Sci. 77:1320-1332.   DOI
25 Jaiswal, U. C., J. S. Poonia and J. Kumar. 1995. Canonical correlation analysis for studying relationship among several traits- an example of calculation and interpretation. Ind. J. Anim. Sci. 65(7):765-769.
26 Johnson, R. A. and D. W. Wicherm. 2002. Applied multivariate statistical analysis. 5th edn. Prentice Hall, Inc., Upper Saddle River, New Jersey.
27 National Research Council. 1994. Nutrient requirements of poultry. 9th edn., National Academy Press, Washington DC.