Announcing the ADSA Loyalty Program and other developments

At the core of scientific peer review is “sharing insights and information among peers so that researchers can learn from each other and move science forward” (Schultz, 2020). This year will mark the 107th year of existence for the Journal of Dairy Science. Over this time, the journal has been a stable pillar of ADSA, the dairy sector, and the scientific community. Several years ago, Kent Anderson published an article (Anderson, 2016) in the Scholarly Kitchen, an online blog of the Society for Scholarly Publishing, and discussed the vibrant community that makes up virtually all successful scholarly publications. Anderson wrote that these publications “are not just production outlets for research papers, but community creations that provide identity, context, and cultural integration

Evaluation of cholesterol and vitamin E concentrations in adult alpacas and nursing crias

The objective of this study was to determine if serum cholesterol and vitamin E concentrations change with production and physiologic state in alpacas. Blood was collected from 3 groups of alpacas. An adult female group was sampled in the periparturient period and once monthly until their offspring were weaned. Crias born to the females were sampled after birth, then once monthly until weaning. A group consisting of males was sampled once monthly throughout the study period. Serum vitamin E and cholesterol concentrations were measured and vitamin E to cholesterol ratios was calculated. Vitamin E concentrations were similar throughout the different physiologic states. Cria vitamin E concentrations closely correlated to that of their dam. Significant cholesterol concentration fluctuations in crias occurred after 4 weeks of life possibly due to milk fat content. After weaning, the cholesterol concentrations became similar to the adult animals within study. Vitamin E concentrations varied with age in crias as they transitioned from a milk to forage based diet. Cholesterol fluctuated with altered physiologic and metabolic demands, most noticeable in the crias. Further studies are needed to determine if vitamin E to cholesterol ratios would be more appropriate to fully assess the vitamin E status in nursing crias

Identification of genetic markers associated with hyperketonemia patterns in early lactation Holstein cows

Additional File 1- Table S1. Descriptive statistics for blood BHB concentration (mmol/L) in Holstein cows were included in an observational study to assess their hyperketonemia patterns in the two weeks postpartum followed by diagnosis and treatment of the condition. Additional File 1- Table S2. Results indicated differences in blood BHB concentration (mmol/L) among HYK patterns in Holstein cows were included in an observational study to assess their hyperketonemia patterns in the two weeks postpartum followed by diagnosis and treatment of the condition. Additional File 2- Spreadsheet S1. List of genes, SNP and their functional consequences associated with HYK identified through cured vs. control (CUR-CON) contrast. Spreadsheet S2. List of genes, SNP and their functional consequences associated with HYK identified through severe vs. control (SEV-CON) contrast. Spreadsheet S3. List of genes, SNP and their functional consequences associated with HYK identified through chronic vs. control (CHR-CON) contrast, Spreadsheet S4. List of genes, SNP and their functional consequences associated with HYK identified through recurrent vs. control (REC-CON) contrast. Additional File 3- Spreadsheet S1. Pathways associated with genes identified to cured vs. control (CUR-CON) contrast, Spreadsheet S2. Pathways associated with genes identified to severe vs. control (SEV-CON) contrast, Spreadsheet S3. Pathways associated with genes identified to chronic vs. control (CHR-CON) contrast, Spreadsheet S4. Pathways associated with genes identified to recurrent vs. control (REC-CON) contrast, Spreadsheet S6. Pathways associated with genes set identified among 4 analyzed contrasts (Cured-CUR, severe-SEV, chronic-CHR and recurrent-RECU compared with control-CON, respectively), Spreadsheet S7. Protein Interaction network associated with genes set identified among 4 analyzed contrasts (Cured-CUR, severe-SEV, chronic-CHR and recurrent-RECU compared with control-CON, respectively). Additional File 4- Spreadsheet S1. Go terms and QTL associated with genes and SNPs related to HYK identified through cured vs. control (CUR-CON) contrast analysis, Spreadsheet S2. Go terms and QTL associated with genes and SNPs related to HYK identified through severe vs. control (SEV-CON) contrast, Spreadsheet S3. Go terms and QTL associated with genes and SNPs related to HYK identified through chronic vs. control (CHR-CON) contrast, Spreadsheet S4. Go terms and QTL associated with genes and SNPs related to HYK were identified through recurrent vs. control (REC-CON) contrast

Identification of genetic markers associated with hyperketonemia patterns in early lactation Holstein cows

<p><strong>Additional File</strong> <strong>1</strong>- <strong>Table S1. </strong>Descriptive statistics for blood BHB concentration (mmol/L) in Holstein cows that were included in an observational study to assess their hyperketonemia patterns in the two weeks postpartum (SP period). <strong>Additional File1</strong>- <strong>Table S2.</strong> Descriptive statistics for blood BHB concentration (mmol/L) in Holstein cows that were included in an observational study to assess their hyperketonemia (HYK) patterns in the two weeks post HYK diagnosis and treatment of the condition (FP period).<strong> Additional File</strong> <strong>1</strong>- <strong>Table S3. </strong>Results indicated differences in blood BHB concentration (mmol/L) among HYK patterns in Holstein cows were included in an observational study to assess their hyperketonemia patterns in the two weeks postpartum followed by diagnosis and treatment of the condition.<strong> </strong></p><p><strong>Additional File</strong> <strong>2</strong>- <strong>Spreadsheet S1.</strong> List of genes, SNP and their functional consequences associated with HYK identified through cured vs. control (CUR-CON) contrast, <strong>Spreadsheet S2.</strong> List of genes, SNP and their functional consequences associated with HYK identified through severe vs. control (SEV-CON) contrast. <strong>Spreadsheet S3.</strong> List of genes, SNP and their functional consequences associated with HYK identified through chronic vs. control (CHR-CON) contrast,<strong> Spreadsheet S4.</strong> List of genes, SNP and their functional consequences associated with HYK identified through recurrent vs. control (REC-CON) contrast.<strong> </strong></p><p><strong>Additional File</strong> <strong>3</strong>-<strong> Spreadsheet S1. </strong>Pathways associated with genes identified to cured vs. control (CUR-CON) contrast, <strong>Spreadsheet S2. </strong>Pathways associated with genes identified to severe vs. control (SEV-CON) contrast,<strong> Spreadsheet S3. </strong>Pathways associated with genes identified to chronic vs. control (CHR-CON) contrast,<strong>Spreadsheet S4. </strong>Pathways associated with genes identified to recurrent vs. control (REC-CON) contrast,<strong>Spreadsheet S6.</strong> Pathways associated with genes set identified among 4 analyzed contrasts (Cured-CUR, severe-SEV, chronic-CHR and recurrent-RECU compared with control-CON, respectively), <strong>Spreadsheet S7.</strong> Protein Interaction network associated with genes set identified among 4 analyzed contrasts (Cured-CUR, severe-SEV, chronic-CHR and recurrent-RECU compared with control-CON, respectively).</p><p> <strong>Additional File4</strong>- <strong>Spreadsheet S1.</strong> Go terms and QTL associated with genes and SNPs related to HYK identified through cured vs. control (CUR-CON) contrast analysis, <strong>Spreadsheet S2.</strong> Go terms and QTL associated with genes and SNPs related to HYK identified through severe vs. control (SEV-CON) contrast, <strong>Spreadsheet S3.</strong> Go terms and QTL associated with genes and SNPs related to HYK identified through chronic vs. control (CHR-CON) contrast, <strong>Spreadsheet S4.</strong> Go terms and QTL associated with genes and SNPs related to HYK were identified through recurrent vs. control (REC-CON) contrast.</p&gt