Herbicides for corn

"Federal regulations regarding herbicide use change frequently, so keep informed about the status of label registration. Based upon available information this guide sheet conforms to laws and regulations in effect at the time it was written. It is essential that you read and understand the label of the herbicide you plan to use."--First page.L.E. Anderson, O. Hale Fletchall, David Guethle, Harold Kerr, E.J. Peters, Zane Helsel, James Schaeffer (Department of Agronomy, College of Agriculture)Revised 1/84/15

Chemical weed control in grain sorghum

"Federal regulations on the use of herbicides change frequently, so stay informed on the status of label registration. To the best of our knowledge, this guidesheet conforms to laws and regulations at the time of writing."--First page.James A. Schaeffer, Harold D. Kerr, David Guethle, O. Hale Fletchall, E.J. Peters, L.E. Anderson, and Zane R. Helsel (Department of Agronomy, College of AGriculture)Revised 1/85/10

Herbicides for grain sorghum 1984

"Federal regulations on the use of herbicides change frequently, so stay informed on the status of label registration. To the best of our knowledge, this guidesheet conforms to laws and regulations at the time of writing."--First page.James A. Schaeffer, Harold D. Kerr, David Guethle, O. Hale Fletchall, E.J. Peters, L.E. Anderson, and Zane R. Helsel (Department of Agronomy, College of AGriculture)Revised 1/84/10

Chemical weed control in field corn for 1982 -- part 1 : preplanting incorporated treatments

Harold D. Kerr, Joseph H. Scott, E. J. Peters, L. E. Anderson, O. Hale Fletchall, David Guethle, Zane R. Helsel and Howard Guscar (Department of Agronomy, College of Agriculture)New 1/82/15

Chemical weed control in field corn for 1982, Part 2. Pre-emergence and postemergence

Harold D. Kerr, Joseph H. Scott, E. J. Peters, L. E. Anderson, O. Hale Fletchall, David Guethle, Zane R. Helsel and Howard Guscar (Department of Agronomy, College of Agriculture)Revised 1/82/15

Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD

Determinants and Effects on Property Values of Participation in Voluntary Cleanup Programs: The Case of Colorado

State Voluntary Cleanup Programs (VCPs) were established starting in the 1990s to encourage the environmental remediation and redevelopment of contaminated properties. These programs typically offer liability relief, subsidies and other regulatory incentives in exchange for site cleanup. This paper asks three questions: First, what type of properties are attracted to voluntary cleanup programs? Second, what is the interaction between these state programs and other incentives for remediation and economic development, such as Enterprise Zone and Brownfield Zone designations? Third, what is the effect of participation in the VCP on property values? We use data from Colorado’s VCP to answer these questions. We find that most of the properties enrolled in this program were not previously listed on EPA’s contaminated site registries, and that most applicants seek to obtain directly a “no further action” determination without undergoing remediation. The main determinants of participation are the size of the parcel and whether the surrounding land use is primarily residential, while other incentives have little effect. Properties with confirmed contamination sell at a 47% discount relative to comparable uncontaminated parcels, and participation tends to raise the property price, but this latter effect is not statistically significant. Taken together, these findings suggest that the participating properties are those with high development potential, and hint at the possibility that owners or developers may be seeking to obtain a clean bill of health from the State with only minimal or no cleanup efforts. Were these findings confirmed with data from other states, they would raise doubts about the effectiveness of voluntary programs in encouraging remediation and their usefulness in reversing some of the undesired effects of the Superfund legislation

Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration.

Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles

Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus

: Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success