Supplementary file 2_Mapping genomic regions affecting resilience traits in a large dairy farm of Holstein cows.docx by Chiara Punturiero (14625281)

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

Data Sheet 1_Shedding light on the moon’s influence in the reproductive activity of farm animals.pdf by 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 by 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... by Ran Wang (169166)

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

Soil properties from pilot sites. by Daphne Kitsou (21578242)

“…<div><p>Carbon sequestration is a natural process that removes carbon dioxide from the atmosphere and stores it in plant biomass, soils, oceans, and geological formations- a very important process for reducing greenhouse gas concentrations, mitigating climate change and improving soil health. …”

Inventory of inputs. by Daphne Kitsou (21578242)

“…<div><p>Carbon sequestration is a natural process that removes carbon dioxide from the atmosphere and stores it in plant biomass, soils, oceans, and geological formations- a very important process for reducing greenhouse gas concentrations, mitigating climate change and improving soil health. …”

<b>Bridging Genomics and Traditional Knowledge in Sweetpotato: A Scientometric Pathway for Participatory Breeding</b> by Gustavo Reis de Brito (22034902)

“…To map how genetics research has evolved and where actionable gaps remain, we conducted a scientometric analysis of 590 records from Web of Science covering 1960 to 2022, of which 213 full-text papers were retained after relevance filtering. …”

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

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

Table 3_Gene network analysis of fat composition in beef of Bos taurus indicus influenced cattle.xlsx by 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 by 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. …”

Cryptic Ancestral Diversity and Recent Bottlenecks Shape the Genetic Landscape of Farmed Largemouth Black Bass in China by 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 by 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 by 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 by 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 by 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 by 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 by 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. …”