AMB_2024v14n5

Animal Molecular Breeding 2024, Vol.14, No.5, 335-344 http://animalscipublisher.com/index.php/amb 344 Zhang F., Weigel K., and Cabrera V., 2022, 20 New insights on data integration and artificial intelligence to predict primiparous lactation curves capturing genotype-by-environment interactions, Journal of Animal Science, 100(3): 12. https://doi.org/10.1093/jas/skac247.021 PMCid:PMC9494002 Zhou X., Xu C., Wang H., Xu W., Zhao Z., Chen M., Jia B., and Huang B., 2022, The early prediction of common disorders in dairy cows monitored by automatic systems with machine learning algorithms, Animals, 12(10): 1251. https://doi.org/10.3390/ani12101251 PMid:35625096 PMCid:PMC9137925 Disclaimer/Publisher’s Note The statements, opinions, and data contained in all publications are solely those of the individual authors and contributors and do not represent the views of the publishing house and/or its editors. The publisher and/or its editors disclaim all responsibility for any harm or damage to persons or property that may result from the application of ideas, methods, instructions, or products discussed in the content. Publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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