Articles | Volume 66, issue 1
https://doi.org/10.5194/aab-66-145-2023
https://doi.org/10.5194/aab-66-145-2023
Original study
 | 
30 Mar 2023
Original study |  | 30 Mar 2023

Prediction of reproductive performance of ewes based on the early production data, ewe birth rank, dam age, and dam birth rank

Ivan Vlahek, Velimir Sušić, Anamaria Ekert Kabalin, Sven Menčik, Maja Maurić Maljković, Aneta Piplica, Juraj Šavorić, and Siniša Faraguna

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Cited articles

Amer, P. R., Jopson, N. B., Cocks, J., and Scarlet, A. L.: Impact of early age litter size on subsequent litter output in ewes, in: Proceedings of the New Zealand society of animal production 67, January 2007, New Zealand, 39–43, 2007. 
Areb, E., Getachew, T., Kirmani, M. A., Silase, T. G., and Haile, A.: Estimation of co-variance components, genetic parameters, and genetic trends of reproductive traits in community-based breeding program of Bonga sheep in Ethiopia, Anim. Biosci., 34, 1451–1459, https://doi.org/10.5713/ajas.20.0413, 2021. 
Assan, N.: Indicators of reproductive performance in goats and sheep meat production, Sci. J. Anim. Sci., 9, 608–619, 2020. 
Canché, J. E. T., Monforte, J. G. M., and Correa, J. C. S.: Environmental effects on productive and reproductive performance of Pelibuey ewes in Southeastern Mexico, J. Appl. Anim. Res., 44, 508–512, https://doi.org/10.1080/09712119.2015.1102730, 2016. 
Douhard, F., Jopson, N. B., Friggens, N. C., and Amer, P. R.: Effects of the level of early productivity on the lifespan of ewes in contrasting flock environments, Animal, 10, 2034–2042, https://doi.org/10.1017/S1751731116001002, 2016. 
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Short summary
Ewes' reproductive performance could be predicted using the data available early in their life. Ewe birth rank, dam birth rank, first litter size, and first lambing interval are significantly associated with ewe reproductive performance up to the fourth year of life. Precise prediction of ewe reproductive performance using the early predictors is impossible due to the low R2 predicted. The value of the lower threshold of the 95 % prediction interval might be useful in making selection decisions.