Supplementary file 1_Mapping genomic regions affecting resilience traits in a large dairy farm of Holstein cows.docx ‌ Chiara Punturiero (14625281)

Data Sheet 1_Shedding light on the moon’s influence in the reproductive activity of farm animals.pdf ‌ Fernando P. Perea (9994827)

“…Further interdisciplinary research is needed to clarify the physiological mechanisms involved and to explore the practical implications of lunar modulation of reproductive activity in livestock production systems.…”

All data for crop diversification ‌ Wenhao Feng (21783104)

Table 1_The characterization of adipose tissue in distinct anatomical regions of the Kazakh horse: a comprehensive analysis of the morphology, fatty acid profile, and lipidomic pro... ‌ Ran Wang (169166)

Table 1_Multi-omics exploration of the factors influencing feather coverage in laying hens.docx ‌ Xin Li (51274)

Table 2_Gene network analysis of fat composition in beef of Bos taurus indicus influenced cattle.csv ‌ Eduardo Emilio Rodriguez (22058954)

Table 1_Gene network analysis of fat composition in beef of Bos taurus indicus influenced cattle.csv ‌ Eduardo Emilio Rodriguez (22058954)

Table 3_Gene network analysis of fat composition in beef of Bos taurus indicus influenced cattle.xlsx ‌ Eduardo Emilio Rodriguez (22058954)

Supplementary file 1_Bovine respiratory disease-associated ultrasonographic lung lesions in Holstein calves: a genomic perspective on copy number variants and homozygosity.docx ‌ Francesca Bernini (14625287)

“…Functional enrichment analyses using DAVID and Cytoscape-GeneMANIA indicated involvement of antiviral responses, GPCR signaling, calcium signaling, and estrogen receptor pathway in disease resistance. …”

Sea lice infestation dataset for wild and farmed salmon populations on the Pacific coast of Canada (2001-2023) ‌ Crawford Revie (20463748)

“…(This is very similar to data in the [industry- _farm_abundance] table, but provides average values over a more highly resolved time-frame. …”

Cryptic Ancestral Diversity and Recent Bottlenecks Shape the Genetic Landscape of Farmed Largemouth Black Bass in China ‌ kai liu (10109566)

“…Our dual selection scans identified distinct evolutionary patterns: seven candidate genes under long-term balancing selection, enriched in functions related to environmental sensing and physiological regulation, and several genes under recent positive selection in the JDF-bred line, including those involved in olfaction and neuronal excitability. This study unravels the complex genetic background of China's farmed Largemouth black bass, providing an essential genomic toolkit for defining management units, preserving cryptic ancestral diversity, and designing informed breeding strategies to ensure the long-term sustainability of this vital aquaculture industry.…”

Image 1_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 8_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 7_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 4_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 2_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 9_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 5_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 3_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”

Image 6_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.tiff ‌ L. Cavicchio (21751946)

“…</p>Material and methods<p>Passive surveillance, conducted from 2013 to 2022, involved 253 farms located in three regions, collecting over 3,000 samples that were tested for swIAV. …”