Image_2_Systems-level proteomics and metabolomics reveals the diel molecular landscape of diverse kale cultivars.tiff od Sabine Scandola (11896201)

“…Kale is a very promising crop for vertical farming due to its high nutritional content; however, being a non-model organism, foundational, systems-level analyses of kale are lacking. …”

Table_4_Systems-level proteomics and metabolomics reveals the diel molecular landscape of diverse kale cultivars.xlsx od Sabine Scandola (11896201)

“…Kale is a very promising crop for vertical farming due to its high nutritional content; however, being a non-model organism, foundational, systems-level analyses of kale are lacking. …”

Table_3_Systems-level proteomics and metabolomics reveals the diel molecular landscape of diverse kale cultivars.xlsx od Sabine Scandola (11896201)

“…Kale is a very promising crop for vertical farming due to its high nutritional content; however, being a non-model organism, foundational, systems-level analyses of kale are lacking. …”

Image_4_Systems-level proteomics and metabolomics reveals the diel molecular landscape of diverse kale cultivars.tiff od Sabine Scandola (11896201)

“…Kale is a very promising crop for vertical farming due to its high nutritional content; however, being a non-model organism, foundational, systems-level analyses of kale are lacking. …”

Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf od Upinder Kaur (10805317)

“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. The framework was trained and evaluated based on a heterogeneous dataset of urban crop images, inclusive of multifactorial stress indicators on variable conditions. …”

Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip od Upinder Kaur (10805317)

“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. The framework was trained and evaluated based on a heterogeneous dataset of urban crop images, inclusive of multifactorial stress indicators on variable conditions. …”

Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx od Upinder Kaur (10805317)

“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. The framework was trained and evaluated based on a heterogeneous dataset of urban crop images, inclusive of multifactorial stress indicators on variable conditions. …”

Table 1_Histopathological and radiographic characterization of the lesions of pododermatitis in sheep: support for the establishment of the foot injuries degree and its prognosis.d... od Caroline da Silva Silveira (6823100)

“…As a result of these findings, the lesions were categorized into 3 grades described as: mild interdigital dermatitis (grade 1), necrosis with bone involvement (grade 2) and severe tissue loss with osteolysis (grade 3). …”

A Simulation Approach to Assessing Sampling Strategies for Insect Pests: An Example with the Balsam Gall Midge od R. Drew Carleton (501579)

“…Sequential sampling techniques promise efficient sampling, but their application can involve cumbersome mathematics and/or intensive warm-up sampling when pests have complex within- or between-site distributions. …”

Integrating pattern-based modelling and political ecology in land-use change research: the case of Mexican dry tropics od Fernanda Figueroa (7554941)

“…We combine insights from: (1) a quantitative land use/land cover change pattern-based model, involving a weights of evidence and cellular automata simulations, and (2) a qualitative content analysis of literature and of local actors’ perspectives. …”

Summary of resistance to gray leaf spot (GLS) in the nested association mapping population. od Jacqueline M. Benson (701341)

“…<i>p</i><0.0001, Chr = Chromosome</p><p>CI = Confidence Interval</p><p>DTA = Blacksburg (Whitethorne Farms)-specific days to anthesis</p><p>Southern Leaf Blight (SLB) QTL Source: [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005045#pgen.1005045.ref046" target="_blank">46</a>]</p><p>Northern Leaf Blight (NLB) QTL Source: [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005045#pgen.1005045.ref040" target="_blank">40</a>]</p><p>Asterisks indicate better resolved QTL</p><p>double asterisks denote QTL reported here for the first time</p><p>^+,- indicates significant positive, negative association of allelic effects, respectively.…”

Image_2_Analysis of dairy cattle movements in the northern region of Thailand.tif od Sukolrat Boonyayatra (6709088)

“…<p>Dairy farming in northern Thailand is expanding, with dairy cattle populations increasing up to 8% per year. …”

Table_1_Analysis of dairy cattle movements in the northern region of Thailand.csv od Sukolrat Boonyayatra (6709088)

“…<p>Dairy farming in northern Thailand is expanding, with dairy cattle populations increasing up to 8% per year. …”

Image_1_Analysis of dairy cattle movements in the northern region of Thailand.tif od Sukolrat Boonyayatra (6709088)

“…<p>Dairy farming in northern Thailand is expanding, with dairy cattle populations increasing up to 8% per year. …”

Table_3_Analysis of dairy cattle movements in the northern region of Thailand.csv od Sukolrat Boonyayatra (6709088)

“…<p>Dairy farming in northern Thailand is expanding, with dairy cattle populations increasing up to 8% per year. …”

Table_2_Analysis of dairy cattle movements in the northern region of Thailand.csv od Sukolrat Boonyayatra (6709088)

“…<p>Dairy farming in northern Thailand is expanding, with dairy cattle populations increasing up to 8% per year. …”

Data_Sheet_1_The Adaxial/Abaxial Patterning of Auxin and Auxin Gene in Leaf Veins Functions in Leafy Head Formation of Chinese Cabbage.docx od Xiaozhen Yue (12841343)

“…In this study, we first introduced the auxin-responsive marker DR5::GUS into the Chinese cabbage genome and visualized its expression during the farming season. We demonstrated that auxin response is adaxially/abaxially distributed in leaf veins. …”

Table_1_Genomic traits of multidrug resistant enterotoxigenic Escherichia coli isolates from diarrheic pigs.xlsx od Jiameng Hu (453376)

“…<p>Diarrhea caused by enterotoxigenic Escherichia coli (ETEC) infections poses a significant challenge in global pig farming. To address this issue, the study was conducted to identify and characterize 19 ETEC isolates from fecal samples of diarrheic pigs sourced from large-scale farms in Sichuan Province, China. …”

Whole Genome Sequencing Reveals Local Transmission Patterns of <em>Mycobacterium bovis</em> in Sympatric Cattle and Badger Populations od Roman Biek (21981)

“…It is likely to be particularly useful for studying the transmission dynamics of an observed epidemic involving a largely unsampled ‘reservoir’ host, as for bovine tuberculosis (bTB) in British and Irish cattle and badgers. …”

Investigation of Observational Techniques Ergonomic Risk Assessment of Work-Related Musculoskeletal Disorders among Farmers - A Systematic Review od Adel Mazloumi (10037882)

“…<p>Farming tasks often involve repetitive movements, heavy lifting, awkward postures, and prolonged periods of standing or bending, all of which can contribute to the development of musculoskeletal issues (MSDs) such as back pain, joint pain, and muscle strains. …”