Evaluating advanced computing techniques for predicting breeding values in Harnali sheep
Author:
Publisher
Springer Science and Business Media LLC
Subject
Animal Science and Zoology,Food Animals
Link
https://link.springer.com/content/pdf/10.1007/s11250-021-02763-7.pdf
Reference22 articles.
1. Bangar, Y.C., Magotra, A., Yadav, A.S., 2020. Estimates of covariance components and genetic parameters for growth, average daily gain and Kleiber ratio in Harnali sheep, Tropical Animal Health and Production, 52, 2291--2296
2. Clark, S.A., Hickey, J.M., Daetwyler, H.D., van der Werf, J.H.J., 2012. The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes, Genetics Selection Evolution, 44, 4
3. Clyde, M., Ghosh, J., Littman, M., 2010. Bayesian Adaptive Sampling for Variable Selection and Model Averaging, Journal of Computational and Graphical Statistics, 20, 80--101
4. Ghotbaldini, H., Mohammadabadi, M., Nezamabadi-pour, H., Babenko, O.I., Bushtruk, M.V., Tkachenko, S.V., 2019. Predicting breeding value of body weight at 6-month age using artificial neural networks in Kermani sheep breed, Acta Scientiarum Animal Sciences, 41, e45282
5. Green, P.J., Łatuszyński, K., Pereyra, M., Robert, C.P., 2015. Bayesian computation: a summary of the current state, and samples backwards and forwards, Statistics and Computing, 25, 835--862
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