Crop Management Practices in Indiana Soybean Production Systems?

To meet the current and future needs of today\u27s soybean producer it is vital that agricultural researchers and Extension specialists clearly understand the production concerns of our clientele. The objective of this research was to characterize the current management practices of Indiana soybean (Glycine max (L.) Merr.) growers, to identify specific educational needs, and to provide a framework for directing applied soybean research efforts. This assessment was conducted through a direct-mail survey. The results of this survey define distinct similarities and differences among growers of different farm operation size. Large acreage growers (\u3e1000 acres) were more likely to plant soybeans in rows spaced 11 to 20 inches, reduce seeding rates, plant earlier, and have higher yields. Large acreage growers were also more likely to own a yield monitor, conduct on-farm research, use a computer, and routinely use the Internet. Our research also identified different research and educational needs based on farm operation size. By specifically targeting these needs, agricultural researchers and Extension specialists may improve the economic and environmental sustainability of each clientele group

Relationship between body measurements and performance traits in boars

Fourteen body measurements were taken on 259 boars at 65 lbs. and again at 250 lbs. determine the relationship of external body dimensions with certain performance traits. Correlations between body measurements and growth tended to be extremely low for most factors. Our results do not support using body measurements as v1sual indicators of growth. This study suggests that performance testing is still the best way to predict a particular animal’s genetic potential.; Swine Day, Manhattan, KS, November 11, 197

Measuring a Light Neutralino Mass at the ILC: Testing the MSSM Neutralino Cold Dark Matter Model

The LEP experiments give a lower bound on the neutralino mass of about 46 GeV which, however, relies on a supersymmetric grand unification relation. Dropping this assumption, the experimental lower bound on the neutralino mass vanishes completely. Recent analyses suggest, however, that in the minimal supersymmetric standard model (MSSM), a light neutralino dark matter candidate has a lower bound on its mass of about 7 GeV. In light of this, we investigate the mass sensitivity at the ILC for very light neutralinos. We study slepton pair production, followed by the decay of the sleptons to a lepton and the lightest neutralino. We find that the mass measurement accuracy for a few-GeV neutralino is around 2 GeV, or even less if the relevant slepton is sufficiently light. We thus conclude that the ILC can help verify or falsify the MSSM neutralino cold dark matter model even for very light neutralinos.Comment: 7 pages, 1 figure; references adde

Prospectus, November 4, 1981

FARE INCREASE POSTPONED; News In Brief; P.C. to serve as Field Center; Reader likes book review; \u27Annie\u27 opening Nov. 6; Closer than you think: Draft reinstated?; \u27Ivesdale\u27 displayed in gallery; Writing classes offered for elderly; Residents join to provide funds; Tourneys turn out surprises this week; What in the world is it?; Ski club plans trip to Michigan; P.C. Happ\u27nin\u27s: International Fair November 11, Counseling meetings set, Equine Club invites members, Artist displays sculpture at PC, WPCD airs game, Marketing offered in Villa Grove, PACT meets, PACT offers CPR; Pet ailing? call Hotline; Classifieds; Larry Daniels thrills P.C. crowd; New York Dolls: big influence on rock\u27n\u27roll; King Crimson reforms; David Johansen\u27s latest reviewed; Volleyballers lose during conference play; 3 Cobras qualify for nationals; Sports News; Freddy breaks even; Fast Freddy Contest; Photo News; Halloween arrives at Parklandhttps://spark.parkland.edu/prospectus_1981/1006/thumbnail.jp

Interpretation of Genetic Association Studies: Markers with Replicated Highly Significant Odds Ratios May Be Poor Classifiers

Recent successful discoveries of potentially causal single nucleotide polymorphisms (SNPs) for complex diseases hold great promise, and commercialization of genomics in personalized medicine has already begun. The hope is that genetic testing will benefit patients and their families, and encourage positive lifestyle changes and guide clinical decisions. However, for many complex diseases, it is arguable whether the era of genomics in personalized medicine is here yet. We focus on the clinical validity of genetic testing with an emphasis on two popular statistical methods for evaluating markers. The two methods, logistic regression and receiver operating characteristic (ROC) curve analysis, are applied to our age-related macular degeneration dataset. By using an additive model of the CFH, LOC387715, and C2 variants, the odds ratios are 2.9, 3.4, and 0.4, with p-values of 10−13, 10−13, and 10−3, respectively. The area under the ROC curve (AUC) is 0.79, but assuming prevalences of 15%, 5.5%, and 1.5% (which are realistic for age groups 80 y, 65 y, and 40 y and older, respectively), only 30%, 12%, and 3% of the group classified as high risk are cases. Additionally, we present examples for four other diseases for which strongly associated variants have been discovered. In type 2 diabetes, our classification model of 12 SNPs has an AUC of only 0.64, and two SNPs achieve an AUC of only 0.56 for prostate cancer. Nine SNPs were not sufficient to improve the discrimination power over that of nongenetic predictors for risk of cardiovascular events. Finally, in Crohn's disease, a model of five SNPs, one with a quite low odds ratio of 0.26, has an AUC of only 0.66. Our analyses and examples show that strong association, although very valuable for establishing etiological hypotheses, does not guarantee effective discrimination between cases and controls. The scientific community should be cautious to avoid overstating the value of association findings in terms of personalized medicine before their time

The random case of Conley's theorem

The well-known Conley's theorem states that the complement of chain recurrent set equals the union of all connecting orbits of the flow $\phi$ on the compact metric space $X$, i.e. $X-\mathcal{CR}(\phi)=\bigcup [B(A)-A]$, where $\mathcal{CR}(\phi)$ denotes the chain recurrent set of $\phi$, $A$ stands for an attractor and $B(A)$ is the basin determined by $A$. In this paper we show that by appropriately selecting the definition of random attractor, in fact we define a random local attractor to be the $\omega$-limit set of some random pre-attractor surrounding it, and by considering appropriate measurability, in fact we also consider the universal $\sigma$-algebra $\mathcal F^u$-measurability besides $\mathcal F$-measurability, we are able to obtain the random case of Conley's theorem.Comment: 15 page