Number of females in cattle, sheep, pig, goat and horse breeds predicted from a single year’s registration data.
Abstract: An objective and accountable method is needed for deducing the number of registered animals in a breed from registration data. By following the principle that individual breeders register sufficient young females to be certain of having enough replacements for their current breeding stock, the ratios were calculated of the number of adult females in a breed to the number of female registrations, in a given year. Number of breeds considered were 8 cattle, 16 sheep, 8 pigs, 1 goat and 2 equines, all in the United Kingdom or Ireland. This yielded multipliers (4.4 for cattle, 3.3 for sheep, 3.1 for pigs, with confidence limits; and a point estimate of 5.2 for goats) enabling total adult female population to be predicted from a single year's registration data. There was considerable variation between breeds in values of the multiplier, apparently for reasons of breed history and function. This was particularly evident for equines where the two breeds yielded multipliers of 3.8 and 13.9. Multipliers, using registration data that are already in the public domain, can provide an estimate of breed numerical size, which a breed society can either accept or replace with an audited census.
Publication Date: 2012-03-24 PubMed ID: 22440038DOI: 10.1017/S1751731110002752Google Scholar: Lookup
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Summary
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This research article presents a methodology for estimating the total number of female animals in specific livestock breeds, using just one year’s worth of registration data. It calculates ratios of adult females to female registrations in a year and using this, predicts the total adult female population for various livestock breeds.
Objective and Accountability in Animal Population Estimation
- The paper focuses on developing a straightforward and accountable method for deducing the number of registered animals in specific livestock breeds using only a single year’s registration data.
- Such a methodology is necessary to provide accurate estimations of livestock populations for planning and decision-making purposes, especially under circumstances where continuous monitoring and data collection is not feasible.
Multipliers and Population Projections
- For the purpose of the study, various breeds of livestock – 8 cattle, 16 sheep, 8 pigs, 1 goat and 2 equines – all either in the United Kingdom or Ireland, were considered.
- The authors followed the principle that individual breeders tend to register enough young females to ensure that they have adequate replacements for their present breeding stock. Under this light, they calculated the ratios of the number of adult females to the number of female registrations in a given year.
- This yielded “multipliers”, specific numbers for each type of animal – 4.4 for cattle, 3.3 for sheep, 3.1 for pigs, and 5.2 for goats. These multipliers can be used to estimate the total adult female population from just one year’s registration data.
Variation in Multipliers and Influence of Breed History and Function
- What was also evident from the research was a considerable variation in these multiplier values between breeds, due mostly to factors related to breed history and function.
- For two equine breeds in particular, very different multipliers of 3.8 and 13.9 were calculated. These differences point to the influence of breed-specific features and histories on the population numbers and replacement rates.
Implications for Livestock Management and Conservation
- This method provides an estimation of a breed’s numerical size using existing registration data, which can then be accepted or replaced with a verified census by the respective breed society.
- Such an approach provides an efficient, reliable, and lower-cost way of estimating population numbers, which can help in planning breed conservation strategies, maintaining genetic diversity, and managing livestock resources.
Cite This Article
APA
Hall SJ.
(2012).
Number of females in cattle, sheep, pig, goat and horse breeds predicted from a single year’s registration data.
Animal, 5(6), 980-985.
https://doi.org/10.1017/S1751731110002752 Publication
Researcher Affiliations
- Department of Biological Sciences, University of Lincoln, Riseholme Park, Lincoln LN2 2LG, UK. sthall@lincoln.ac.uk
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