Phenotypic Correlation of Body Weight and Linear Body Measurements in Muscovy ( Cairinia Moschata ) and Mallard ( Anas Platyrhynchos ) Ducks

Ologbose F. I.* and Mbara S. W.
Additional contact information
Ologbose F. I.*: Department of Animal Science, University of Port Harcourt, Rivers State, Nigeria
Mbara S. W.: Department of Animal Science, University of Port Harcourt, Rivers State, Nigeria

Academic Journal of Life Sciences, 2020, vol. 6, issue 2, 13-17

Abstract: Data on body weight and linear body measurements (LBMs) namely body height (BH), body length (BL), breast circumference (BC), thigh length (TL), bill length (BiL), wing length (WL) and shank length (SL) were taken from 120 ducks (i. e. 60 Muscovy and 60 Mallard ducks) at 4 and 8 weeks of age were analysed to obtain the phenotypic correlation between LBMs and body weight. The value of the pearson’s linear correlation coefficient to determine the level of relationship between the body weight and linear body measurement. This ranged from 0.488 (SL) – 0.996 (BH) and (0.729 (SL) – 0.996 (Bil) in Muscovy and Mallard duck at week 4 respectively. While, at week 8, the value of the pearson’s linear correlation coefficient ranges from 0.126 (Bil) – 0.960 (BL) and 0.735(BC) – 0.978 (BH) respectively. This positive and mostly significantly phenotypic relationship between the body weight and linear body measurements indicates that an improvement in one trait could leads to an improvement in the other. Correlation coefficients indicate the strength of a linear relation between traits and thus provide useful information about the traits involved for the purpose of breeding and improvement plan. This shows that favourable relationships exist among traits that have higher correlation coefficients, it further explains that such traits could be collectively included in the selection index to achieve positive phenotypic progress.

Keywords: Mallards; Muscovy; Linear body measurements; Correlations. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.arpgweb.com/pdf-files/ajls6(2)13-17.pdf (application/pdf)
https://www.arpgweb.com/journal/18/archive/02-2020/2/6 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arp:ajlsar:2020:p:13-17

DOI: 10.32861/ajls.62.13.17

Access Statistics for this article

Academic Journal of Life Sciences is currently edited by Dr. (Mrs) Utpala Parthasarathy

More articles in Academic Journal of Life Sciences from Academic Research Publishing Group Rahim Yar Khan 64200, Punjab, Pakistan.
Bibliographic data for series maintained by Managing Editor ().