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)

“…<p>Bovine respiratory disease (BRD) poses a significant health and economic challenge in cattle farming, particularly affecting young calves. Although previous SNP-based genome-wide association studies (GWAS) have identified candidate loci linked to BRD susceptibility, they only explain a fraction of the trait’s heritability. …”

Claudin-5 is involved in one of the main proteins that control the blood-brain barrier (BBB). by Zhizhong Wang (838758)

Sea lice infestation dataset for wild and farmed salmon populations on the Pacific coast of Canada (2001-2023) by 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 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. …”

Image 5_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 3_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 6_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. …”

Data from: ‘Tidy’ and ‘messy’ management alters natural enemy communities and pest control in urban agroecosystems by Monika H. Egerer (11614791)

Stakeholders’ map of the chicken value chain presented to the participants during workshop 2 in Thai Nguyen province, April 2022 adapted from Bâtie et al., 2022, 2025 [47,48]. by Chloé Bâtie (9266351)

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Impact pathway built by the research team from the three workshops held in Thai Nguyen province, April 2022. by Chloé Bâtie (9266351)

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Sociodemographic characteristics of the three workshop’s participants, April 2022, Thai Nguyen province, Vietnam. by Chloé Bâtie (9266351)

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Problem tree built during the first workshop including 30 identified problems, Thai Nguyen province, April 2022. by Chloé Bâtie (9266351)

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Impact pathway visualization from Blundo Canto and al., 2020 [46]. by Chloé Bâtie (9266351)

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