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

Multiple seasons spatialy distributed maize yield and soil properties data for crop modeling applications in precision agriculture af Simphiwe Maseko (21577652)

“...<p dir="ltr">This data was collected from a data-intensive farm management (DIFM) maize trial in Hennenman, Free State South Africa, from a private farm that allowed the research to be done and data used for academic purposes. ...”

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 af 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 af 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 af Dickson Stuart Tayebwa (6733610)

Data Sheet 1_Swine influenza surveillance in Italy uncovers regional and farm-based genetic clustering.pdf af 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 Sheet 1_Digital technology adoption and farm household income in ethnic minority areas: evidence from Xinjiang, China.docx af Yan Tang (195081)

“...Specifically, digital adoption reduces reliance on traditional labor inputs in agricultural production, boosting agricultural incomes while increasing the likelihood of non-farm employment, thereby promoting income diversification. ...”

Data Sheet 1_Biosecurity implementation in poultry farms across Europe and neighboring countries: a systematic review.zip af Ronald Vougat Ngom (18239415)

“...Despite relatively broad geographical coverage, including eight multi-country studies involving 36 national assessments, the distribution of studies was uneven. ...”

Continuous Discontinuous Irrigated Areas in China Dataset (CDIA) (2000-2022) af Xin Tian (17835848)

DRF-main.zip af Pranuthi Gogumalla (21392648)

“...There is potential in using open-source satellite data for monitoring farm fields in the future.</p>...”