Comprehensive Characterization of Raw and Processed Quinoa from Conventional and Organic Farming by Label-Free Shotgun Proteomics ‌ Rocío Galindo-Luján (20573948)

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Dung removal in different treatments. ‌ Irene Piccini (4243039)

Campylobacter, a zoonotic pathogen of global importance: prevalence and risk factors in the fast-evolving chicken meat system of Nairobi, Kenya - Risk factor analysis dataset ‌ Maud Carron (4975127)

USWA Warehouses Removed/Suspended/Reinstated ‌ USDA Farm Service Agency (17479023)

Mirror tree illustration of dietary ecotype and farming behavior. ‌ Charlene L. McCord (3249723)

Shadow costs^a of reaching nutrient targets without mussel farming and marginal nutrient removal cost of mussel farming, Euro/kg nitrogen (N) and phosphorus (P). ‌ Ing-Marie Gren (2523985)

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Genes involved in the biosynthesis of vitamin B2 (riboflavin) of <i>P</i>. <i>pentosaceus</i> MBBL6 genome. ‌ Md. Morshedur Rahman (20477331)

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Schematic representation of the WSSV-induced Warburg effect and the involvement of the PI3K-Akt-mTOR pathway at the viral genome replication stage (12 hpi) of the first WSSV replic... ‌ Mei-An Su (577444)

How could an African swine fever outbreak evolve in an enzootic context? The case of Imerintsiatosika, Madagascar in 2015 - Fig 3 ‌ Harentsoaniaina Rasamoelina Andriamanivo (7354481)

Punnett square showing the expected distribution of offspring scale pattern phenotypes from a cross between two common carp brooders heterozygous for both loci involved in scale fo... ‌ Laura Casas (471953)

Calculated value of mussel farming for nutrient removal in the Baltic Sea for different countries under different uncertainty scenarios (billion Euro). ‌ Ing-Marie Gren (2523985)

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Insights into microbial removal of ammonia and nitrous oxide from biological air purification reactors used for livestock farming: a review ‌ Tomoko Yasuda (21385165)

“…Current knowledge of the mechanisms of NH₃ removal, the N cycle, and the complex network of microbes involved in N transformations that are affected by operational conditions in such a system is reviewed, with special emphasis on practices at livestock farms. …”

Map showing the four urban and peri-urban areas in Malawi. ‌ Dingase Mkandawire (17020945)

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Challenges faced by youth in agribusiness. ‌ Dingase Mkandawire (17020945)

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Bivariate and multinomial logit analysis of determinants of youth employment in agribusiness. ‌ Dingase Mkandawire (17020945)

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Gender distribution by employment category for urban and peri-urban youth-Malawi. ‌ Dingase Mkandawire (17020945)

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Summary statistics for urban and peri-urban youth aged 15–34 years in Malawi. ‌ Dingase Mkandawire (17020945)

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S2 File - ‌ Dingase Mkandawire (17020945)

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Key determinants identified through the quantitative analysis. ‌ Dingase Mkandawire (17020945)

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Percentage of urban and peri-urban youth by employment category. ‌ Dingase Mkandawire (17020945)

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