IJMZ_2025v15n1

International Journal of Molecular Zoology, 2025, Vol.15, No.1, 10-19 http://animalscipublisher.com/index.php/ijmz 18 Flees J., Ganguly B., and Dridi S., 2020, Phytogenic feed additives improve broiler feed efficiency via modulation of intermediary lipid and protein metabolism-related signaling pathways, Poultry Science, 100(3): 100963. https://doi.org/10.1016/j.psj.2020.12.060 Karimi P., Bakhtiarizadeh M., Salehi A., and Izadnia H., 2021, Transcriptome analysis reveals the potential roles of long non-coding RNAs in feed efficiency of chicken, Scientific Reports, 12: 2558. https://doi.org/10.1038/s41598-022-06528-6 Marchesi J., Ono R., Cantao M., Ibelli A., Peixoto J., Moreira G., Godoy T., Coutinho L., Munari D., and Ledur M., 2021, Exploring the genetic architecture of feed efficiency traits in chickens, Scientific Reports, 11: 4622. https://doi.org/10.1038/s41598-021-84125-9 Metzler-Zebeli B., Siegerstetter S., Magowan E., Lawlor P., O’Connell N., and Zebeli Q., 2019, Feed restriction reveals distinct serum metabolome profiles in chickens divergent in feed efficiency traits, Metabolites, 9(2): 38. https://doi.org/10.3390/metabo9020038 Mujahid A., 2011, Nutritional strategies to maintain efficiency and production of chickens under high environmental temperature, The Journal of Poultry Science, 48(3): 145-154. https://doi.org/10.2141/jpsa.010115 Patience J., Rossoni-Serão M., and Gutiérrez N., 2015, A review of feed efficiency in swine: biology and application, Journal of Animal Science and Biotechnology, 6: 33. https://doi.org/10.1186/s40104-015-0031-2 Pirgozliev V., Pirgozliev V., Mansbridge S., Rose S., Lillehoj H., and Bravo D., 2019, Immune modulation, growth performance, and nutrient retention in broiler chickens fed a blend of phytogenic feed additives, Poultry Science, 98(9): 3443-3449. https://doi.org/10.3382/ps/pey472 Prakash A., Saxena V.K., and Singh M.K., 2020, Genetic analysis of residual feed intake, feed conversion ratio and related growth parameters in broiler chicken: a review, World's Poultry Science Journal, 76(2): 304-317. https://doi.org/10.1080/00439339.2020.1735978 Ruban S., and Danshyn V., 2024, Feed efficiency of dairy cattle as genetic trait, The Animal Biology, 26(1): 3-10. https://doi.org/10.15407/animbiol26.01.003 Sinpru P., Riou C., Kubota S., Poompramun C., Molee W., and Molee A., 2021, Jejunal transcriptomic profiling for differences in feed conversion ratio in slow-growing chickens, Animals, 11(9): 2606. https://doi.org/10.3390/ani11092606 Tallentire C., Leinonen I., and Kyriazakis I., 2016, Breeding for efficiency in the broiler chicken: a review, Agronomy for Sustainable Development, 36: 66. https://doi.org/10.1007/s13593-016-0398-2 Wang H.M., 2024, Integrative omics approaches for improving livestock breeding strategies, Animal Molecular Breeding, 14(2): 141-153. https://doi.org/10.5376/amb.2024.14.0012 Wang Z., Özçam M., and Abasht B., 2022, 3’UTR-Seq analysis of chicken abdominal adipose tissue reveals widespread intron retention in 3’UTR and provides insight into molecular basis of feed efficiency, PLoS One, 17(7): e0269534. https://doi.org/10.1371/journal.pone.0269534 Wen C., Yan W., Mai C., Duan Z., Zheng J., Sun C., and Yang N., 2021, Joint contributions of the gut microbiota and host genetics to feed efficiency in chickens, Microbiome, 9: 126. https://doi.org/10.1186/s40168-021-01040-x Wu S., Swick R., Noblet J., Rodgers N., Cadogan D., and Choct M., 2019, Net energy prediction and energy efficiency of feed for broiler chickens, Poultry Science, 98: 1222-1234. https://doi.org/10.3382/ps/pey442 Xiao C., Deng J., Zeng L., Sun T., Yang Z., and Yang X., 2021, Transcriptome analysis identifies candidate genes and signaling pathways associated with feed efficiency in Xiayan chicken, Frontiers in Genetics, 12: 607719. https://doi.org/10.3389/fgene.2021.607719 Yang L., He T., Xiong F., Chen X., Fan X., Jin S., and Geng Z., 2020, Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis, BMC Genomics, 21: 292. https://doi.org/10.1186/s12864-020-6713-y Ye F., Jie H., Gan J., Liu K., Zhang Z., Xiang H., Liu W., Yin Q., Chen S., Yu H., and Li H., 2024, Genome-wide association analysis of key genes for feed efficiency in Qingyuan Partridge chickens, Poultry Science, 104(2): 104632. https://doi.org/10.1016/j.psj.2024.104632 Yi G., Yuan J., Bi H., Yan W., Yang N., and Qu L., 2015, In-depth duodenal transcriptome survey in chickens with divergent feed efficiency using RNA-Seq, PLoS One, 10(9): e0136765. https://doi.org/10.1371/journal.pone.0136765 Yuan J., Li Q., Sun Y., Wang Y., Li Y., You Z., Ni A., Zong Y., Ma H., and Chen J., 2024, Multi-tissue transcriptome profiling linked the association between tissue-specific circRNAs and the heterosis for feed intake and efficiency in chicken, Poultry Science, 103(7): 103783. https://doi.org/10.1016/j.psj.2024.103783

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