Map of study area. за авторством Ebenezer Donkor (8925473)

“...Age, education, use of hybrid cocoa, involvement in off-farm jobs, extension access, and producer group membership significantly affect inefficiency. ...”

Map of where weeds from each genus (vertical panels) survived or died. за авторством Christopher E. Buddenhagen (3374909)

DataSheet_1_Biomass estimations of cultivated kelp using underwater RGB images from a mini-ROV and computer vision approaches.docx за авторством Martin Molberg Overrein (18138967)

“...<p>Seaweed farming is the fastest-growing aquaculture sector worldwide. ...”

DataSheet_1_Investigating the effects of two weaning methods and two genetic hybrids on play behavior in weaner pigs (Sus scrofa).xlsx за авторством Guilherme A. Franchi (13165311)

Effect of different nutrient sources and weed management practices on nutrient uptake by rice plants at harvest. за авторством Dibakar Ghosh (5115938)

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Effect of fertilizer and weed treatment combinations on post-harvest soil pH, electrical conductivity (EC) and organic carbon content. за авторством Dibakar Ghosh (5115938)

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Economics for rice production per hectare (two years’ pooled data). за авторством Dibakar Ghosh (5115938)

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Effect of fertilizer and weed treatment combinations on post-harvest soil macro-nutrient content. за авторством Dibakar Ghosh (5115938)

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Effect of different nutrient sources and weed management practices on weed growth and nutrient uptake. за авторством Dibakar Ghosh (5115938)

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Effect of different nutrient sources and weed management practices on plant growth, yield attributes, and yield. за авторством Dibakar Ghosh (5115938)

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Data_Sheet_1_An overlooked poultry trade network of the smallholder farms in the border provinces of Thailand, 2021: implications for avian influenza surveillance.PDF за авторством Soawapak Hinjoy (332639)

Data_Sheet_2_An overlooked poultry trade network of the smallholder farms in the border provinces of Thailand, 2021: implications for avian influenza surveillance.ZIP за авторством Soawapak Hinjoy (332639)

Data_Sheet_1_How to survive pig farming: Mechanism of SCCmec element deletion and metabolic stress adaptation in livestock-associated MRSA.PDF за авторством Charlotte Huber (3447392)

“...Differential expression of global regulators involved in stress response control were identified, i.e., ammonia-induced alternative sigma factor B-depending activation of genes for the alkaline shock protein 23, the heat shock response and the accessory gene regulator (agr)-controlled transcription of virulence factors. ...”

Data_Sheet_1_Eighteen-Year Farming Management Moderately Shapes the Soil Microbial Community Structure but Promotes Habitat-Specific Taxa.docx за авторством Huaihai Chen (5583182)

“...Further, PICRUSt predicted that N-cycle community compositions varied with farming systems; compared to CON, ORG and ICL were more divergent from PF and SUC. ...”

Data_Sheet_1_Seasonal changes in bird communities on poultry farms and house sparrow—wild bird contacts revealed by camera trapping.docx за авторством Alberto Sánchez-Cano (17990143)

“...</p>Methods<p>We conducted camera trapping events between January 2018 and October 2019, in two caged layer farms, one free-range layer farm, and two red-legged partridge farms in South-Central Spain....”

Table_1_Genotypic characterization, antimicrobial susceptibility and virulence determinants of Campylobacter jejuni and Campylobacter coli isolated from pastured poultry farms.DOCX за авторством Amal Awad (8100149)

“...Aim<p>Campylobacter is the leading bacterial pathogen that causes foodborne illnesses worldwide. Pasture farming is regarded as an important source of agricultural production for small farming communities. ...”

Cassava growers behaviour and planting material movement questionnaire data from Zambia 20015 and 2017 за авторством Anna Szyniszewska (6198821)

Realistic assumptions about spatial locations and clustering of premises matter for models of foot-and-mouth disease spread in the United States за авторством Stefan Sellman (4919359)

“...<div><p>Spatially explicit livestock disease models require demographic data for individual farms or premises. In the U.S., demographic data are only available aggregated at county or coarser scales, so disease models must rely on assumptions about how individual premises are distributed within counties. ...”

Table 6_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx за авторством Yaniv Altshuler (645084)

“...Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. ...”

Table 4_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx за авторством Yaniv Altshuler (645084)

“...Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. ...”