Pearson’s correlation matrix among agronomic traits based on BLUEs. by Fatima Henkrar (17346528)

Definitions of traits for association analyses. by Dai Nogimura (21445649)

“…<div><p>Decreased nitric oxide (NO) production from the vascular endothelium is a major factor for vascular aging. …”

Genetic correlations between sMRI traits and BMI. by Daniela Fusco (10027975)

Causes and consequences of long-term defaunation in multi-species aggregations: Species traits predict freshwater mussel declines and decreases in biogeochemical storage and recycl... by Jonathan Lopez (16993383)

Summary of subscales or questions utilized to define traits. by Dai Nogimura (21445649)

Genetic correlation between BMI and 435 sMRI traits. by Daniela Fusco (10027975)

Genes associated by SMR to both BMI and at least one sMRI trait. by Daniela Fusco (10027975)

Identification of quantitative trait gene (QTG) for meat color lightness (L*) and redness (a*) in chickens. by Jiahong Sun (6497603)

Principal component analysis of agronomic traits and genotypes. by Fatima Henkrar (17346528)

(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 expe... by Hongmin Luo (2142307)

Estimates of genetic parameters correlations and phenotypic correlations between meat color traits in fast-growing white-feathered broilers. by Jiahong Sun (6497603)

Image 2_Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation.tif by Jiaqi Li (220961)

“…In this study, we characterized genomic SVs and identified candidate genes related to germplasm traits in seven sheep breeds. Based on the genome sequences of 73 ewes, SVs were detected using Delly, Lumpy, and Manta software tools, and the results were integrated using SURVIVOR software, leading to the identification of 107,166 SVs. …”

Table 1_Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation.xlsx by Jiaqi Li (220961)

“…In this study, we characterized genomic SVs and identified candidate genes related to germplasm traits in seven sheep breeds. Based on the genome sequences of 73 ewes, SVs were detected using Delly, Lumpy, and Manta software tools, and the results were integrated using SURVIVOR software, leading to the identification of 107,166 SVs. …”

Image 3_Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation.tif by Jiaqi Li (220961)

“…In this study, we characterized genomic SVs and identified candidate genes related to germplasm traits in seven sheep breeds. Based on the genome sequences of 73 ewes, SVs were detected using Delly, Lumpy, and Manta software tools, and the results were integrated using SURVIVOR software, leading to the identification of 107,166 SVs. …”

Image 1_Identification of candidate genes for reproductive traits in Xinjiang sheep breeds based on genomic structural variation.tif by Jiaqi Li (220961)

“…In this study, we characterized genomic SVs and identified candidate genes related to germplasm traits in seven sheep breeds. Based on the genome sequences of 73 ewes, SVs were detected using Delly, Lumpy, and Manta software tools, and the results were integrated using SURVIVOR software, leading to the identification of 107,166 SVs. …”

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

<b>Datasets for the article, entitled as "</b><b>Responses of invasive and native plant species to drought stress and elevated CO</b>_{<strong>2</strong>}<b> concentrations... by Norul Sobuj (17707151)

The correlogram. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The food consumption quantity. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Dataset. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”