Abstract

The factors causing variation in birth date and birth weight were analysed from the data from an experimental reindeer herd consisting of 1136 calves with parental information. The traits had coefficient of variation of 37 and 14%, respectively. The variation in both traits was affected by year and sex (male calves heavier) and by management factors, such as the age distribution of females and males. Early calving results from the use of older breeding males and is most apparent in prime age females. In both traits the heritability was moderate (0.23 and 0.24) with a high proportion of maternal genetic variation (0.23) in birth weight. The North Atlantic Oscillation (NAO) indices, summarizing the major weather conditions prior to rut, explained part of the annual variation in the traits. The amount of total genetic variation in relation to trait mean, or the evolvability, was 21% in birth date and 10% in birth weight indicating that selection could successfully be used to improve herd productivity and that the traits have substantial potential for adapting to possible changing environmental conditions. The results on genetic correlations imply that selection on calf’s birth weight leads on one hand to calves being born earlier and on the other hand to dams with later parturition.

Highlights

  • Birth date and birth weight a ect reindeer calf survival and growth and productivity

  • By utilising the Kutuharju reindeer data we investigated the variation in calves’ birth date and birth weight in detail, including the e ect of environmental conditions, herd management factors, and direct and maternal genetic e ect, as well as the permanent environmental e ect of the dam

  • E Birth date (BD) ranged from 2 May to 16 June, the birth weight (BW) from 1.8 to 10.4 kg and DW from 54 to 107 kg. e distributions of BD and BW followed approximately the normal distribution. e coe cients of variation (CV) for the traits were 37% for BD and 14% for BW

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Summary

Introduction

Birth date and birth weight a ect reindeer calf survival and growth and productivity. Heavy birth weight (BW) is linked to a good survival and growth (Eloranta & Nieminen, 1986). Analysis on calf growth and survival should contain direct e ect (calf ) and maternal e ect (dam) (Willham, 1972).

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