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. …”

Table 1_Under pressure: effect of first-parity sows’ early social experience and genetic line on behavior and lesions in a paired interaction test with an older sow.docx by Linda Marie Backeman Hannius (22818311)

Table 1_Public attitudes, perceptions, and suggested strategies for managing free-roaming dogs in selected urban and rural settings in Uganda.docx by Dickson Stuart Tayebwa (6733610)

Table 2_Public attitudes, perceptions, and suggested strategies for managing free-roaming dogs in selected urban and rural settings in Uganda.docx by Dickson Stuart Tayebwa (6733610)

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

Data Sheet 1_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.pdf 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. …”

Table 2_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx by Nour Alhusein (3428705)

“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”

Table 1_Influences on limited antimicrobial use in small-scale freshwater aquaculture farms in central Thailand.docx by Nour Alhusein (3428705)

“…Among farmers representing twenty farms who were surveyed during 2019, only six farmers representing six farms said they used antimicrobials. …”

Integrated metabolomics and transcriptomics analysis of flavonoids in different parts of Houttuynia cordata by Jingjian Liu (21990821)

Table 1_What regional agricultural actors want to know about carbon dioxide removal in Northern Germany.docx by Juliane El Zohbi (14589413)

“…Farmers expressed more information needs compared with representatives from farming associations or local and regional administrations. …”

Data Sheet 1_Balancing productivity and sustainability: evaluating harmful agricultural practices and regulatory responses on climate resilience in the Yellow River Basin, China.do... by Hassan Saif Khan (22696499)

“…This study employs stochastic frontier analysis to investigate the effects of environmental regulation on technical efficiency, offering new empirical evidence on how environmental regulations influence agricultural production choices and farm-level performance. …”

Phenological stages of wheat modulate effects of phosphorus fertilization in plant-soil microbial interactions by Celia Garcia (22512434)