E. R. McGill
University of Missouri, 116 Animal Sciences Research Center, 920 East Campus Drive, MO-65211, Columbia, USA
J. D. Firman
University of Missouri, 116 Animal Sciences Research Center, 920 East Campus Drive, MO-65211, Columbia, USA
ABSTRACT
Variability within nutrition experiments can be problematic, especially when one is trying to pick up small differences between experimental treatments. A variety of methods have been used over the years to reduce starting animal weight such as weighing animals into different weight groupings followed by selection of animals from the different group in an attempt to obtain smaller differences in starting weights. This paper describes a computer based sorting method that will substantially reduce variation of starting animal weights. In the example used, 700 turkey poults were sorted in three ways at one week of age into 70 pens of 10 poults per pen. Initially 800 poults were weighed and banded with top and bottom weight poults removed to the 700 poults needed. Random assignment of poults resulted in pen weights that ranged from 122.12 to 151.94 g/bird, a difference of 24.4%. Using a 3 weight grouping resulted in an average pen weight range of 130.22 to 140.4 g/bird, a difference of 10.18 g/pen or 7.8%. Using the sorting program resulted in average pen weights ranging from 134.88 to 135.56 g/bird, a difference of 0.68 g or 0.5%, substantially lower than the group sorting. It is believed that this type of sorting of animals at the beginning of an experiment will result in substantially reduced variation.
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How to cite this article
E. R. McGill and J. D. Firman, 2014. A Sorting Method to Reduce Variation in Starting Pen Weights in Poultry Research Studies Utilizing Microsoft Excel. International Journal of Poultry Science, 13: 552-554.
DOI: 10.3923/ijps.2014.552.554
URL: https://scialert.net/abstract/?doi=ijps.2014.552.554
DOI: 10.3923/ijps.2014.552.554
URL: https://scialert.net/abstract/?doi=ijps.2014.552.554
REFERENCES
- De Boo, J. and C. Hendriksen, 2005. Reduction strategies in animal research: A review of scientific approaches at the intra-experimental, supra-experimental and extra-experimental levels. Altern. Lab. Anim., 33: 369-377.
PubMed - Borsini, F., 1985. Randomization program for Apple IIe computer. Brain Res. Bull., 15: 279-281.
CrossRefDirect Link - Martin, R.A., A. Daly, C.J. DiFonzo and F.A. de la Iglesia, 1986. Randomization of animals by computer program for toxicity studies. J. Environ. Pathol. Toxicol. Oncol., 6: 143-152.
PubMed - Richter, S.H., J.P. Garner, C. Auer, J. Kunert and H. Wurbel, 2010. Systematic variation improves reproducibility of animal experiments. Nat. Methods, 7: 167-168.
CrossRefDirect Link