Image 2_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.png di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 7_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 3_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 5_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 1_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 2_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.docx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 4_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.xlsx di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Image 1_Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.png di Yuliya Genievskaya (4725192)

“...Phenotypic data were combined with high-density SNP genotyping to perform GWAS using five statistical models (GLM, MLM, MLMM, FarmCPU, and BLINK). Population structure and kinship were accounted for to identify robust marker-trait associations (MTAs), followed by haplotype-based QTL delineation. ...”

Table 3_Age-stratified gut microbial changes in diarrheal calves: insights from 16S rRNA sequencing across early development.xlsx di Yanli Zhang (309699)

“...</p>Materials and methods<p>This study investigated 60 female Holstein calves (1, 21, and 30 days old) from a commercial dairy farm, equally divided between healthy and diarrheal groups based on standardized fecal scoring. ...”

Table 1_Age-stratified gut microbial changes in diarrheal calves: insights from 16S rRNA sequencing across early development.xlsx di Yanli Zhang (309699)

“...</p>Materials and methods<p>This study investigated 60 female Holstein calves (1, 21, and 30 days old) from a commercial dairy farm, equally divided between healthy and diarrheal groups based on standardized fecal scoring. ...”

Table 2_Age-stratified gut microbial changes in diarrheal calves: insights from 16S rRNA sequencing across early development.xlsx di Yanli Zhang (309699)

“...</p>Materials and methods<p>This study investigated 60 female Holstein calves (1, 21, and 30 days old) from a commercial dairy farm, equally divided between healthy and diarrheal groups based on standardized fecal scoring. ...”

Table 1_Towards decentralization of Salmonella serotyping and risk assessment in poultry production environments with nanopore sequencing.docx di Ruwani Karunarathna (22435069)

“...Here, we introduce a robust and accurate end-to-end laboratory workflow that utilizes long-read nanopore sequencing to generate Salmonella whole genome sequencing (WGS) data at a quality and depth sufficient for Salmonella risk assessment in routine diagnostic settings We validated our workflow against a panel of 16 serovars comprising 80 environmental isolates sampled from Canadian poultry farms, yielding 100% accuracy in serovar prediction. ...”

Assessing contract solutions for agricultural public goods in the Netherlands di Kina S. Harmanny (21629360)

“...<p>Farming significantly influences public goods (PGs) like water quality and biodiversity, both positively and negatively. ...”

How land use right transfers improve fertilizer efficiency in China: a systematic review di Jiali Yang (2918099)

“...Land transfer's chemical fertilizer reduction effect is pronounced on food crops rather than cash crops. Farmers involved in the land transfer can expand livestock production while growing crops and boosting organic waste recycling. ...”

UNIMELB_LAMBERT-Holly_VYT-LOCAL-2025.mp4 di Holly Lambert (20488115)

“...Antimicrobial resistance in the farm-to-plate continuum: more than a food safety issue. ...”

Table 1_Combined effect of photoperiod and stocking density on the welfare of greater amberjack (Seriola dumerili).xlsx di Michelle Barreto-Bailet (22169284)

“...This study offers new insights into the mechanisms involved in the stress response of S. dumerili, aiming to evaluate different culture conditions and determine stress-inducing factors for this species....”

Impacts on gene expression profiles associated with the most widely used pesticides in Central Brazil di Miller Barradas (22302203)

“...<p>While agriculture is essential for food security, the intensive use of pesticides in modern farming practices raises concerns on their impact, in particular from a One Health perspective. ...”

Flowchart of patient inclusion. di Harvey Johnson (20479772)

“...</p><p>Methods</p><p>The study, conducted from November 2021 to June 2024, used a prospective case-control approach combined with a geographic health survey. The study involved home interviews followed by guided tours of areas frequented by participants, allowing the precise identification of practices at risk of Buruli ulcer. ...”

Table 3_Combined effect of photoperiod and stocking density on the welfare of greater amberjack (Seriola dumerili).xlsx di Michelle Barreto-Bailet (22169284)

“...This study offers new insights into the mechanisms involved in the stress response of S. dumerili, aiming to evaluate different culture conditions and determine stress-inducing factors for this species....”

Table 2_Combined effect of photoperiod and stocking density on the welfare of greater amberjack (Seriola dumerili).xlsx di Michelle Barreto-Bailet (22169284)

“...This study offers new insights into the mechanisms involved in the stress response of S. dumerili, aiming to evaluate different culture conditions and determine stress-inducing factors for this species....”