We Can Eradicate Swine Diseases

Statistics indicate that four out of ten pigs born alive never go to market. And the six survivors are often marketed at an economic disadvantage because of diseases that retard their growth. Articles such as Has Disease Undermined the Swine Industry? , Are your Pigs worth a Penny? and We Have Too Many Sick Hogs point out how seriously the present swine disease situation is viewed by those close to and interested in the swine industry. As veterinarians or prospective veterinarians, we have a definite interest in good animal health and thus must be concerned about the seriousness of swine diseases. Any and all means of disease control which our profession can apply to relieve the swine industry should be given careful consideration. It is the purpose of this article to acquaint the veterinary student with a new and effective means of swine disease eradication

Alien Registration- Young, George A. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/22077/thumbnail.jp

Predicting Avian Influenza Co-Infection with H5N1 and H9N2 in Northern Egypt.

Human outbreaks with avian influenza have been, so far, constrained by poor viral adaptation to non-avian hosts. This could be overcome via co-infection, whereby two strains share genetic material, allowing new hybrid strains to emerge. Identifying areas where co-infection is most likely can help target spaces for increased surveillance. Ecological niche modeling using remotely-sensed data can be used for this purpose. H5N1 and H9N2 influenza subtypes are endemic in Egyptian poultry. From 2006 to 2015, over 20,000 poultry and wild birds were tested at farms and live bird markets. Using ecological niche modeling we identified environmental, behavioral, and population characteristics of H5N1 and H9N2 niches within Egypt. Niches differed markedly by subtype. The subtype niches were combined to model co-infection potential with known occurrences used for validation. The distance to live bird markets was a strong predictor of co-infection. Using only single-subtype influenza outbreaks and publicly available ecological data, we identified areas of co-infection potential with high accuracy (area under the receiver operating characteristic (ROC) curve (AUC) 0.991)

EFFECTS OF ALTERNATIVE ACREAGE RESTRICTION PROVISIONS ON ALABAMA COTTON FARMS

The 1985 Farm Bill departs from recent farm bills in moving toward more restrictive acreage control. The change from a two- to a five-year average in calculating base acreage and enforcement of limited cross-compliance appear to significantly alter crop mix decisions on representative Alabama cotton farms.Political Economy,

INCORPORATING THE 1990 FARM BILL INTO FARM-LEVEL DECISION MODELS: AN APPLICATION TO COTTON FARMS

A five-year, 0.1, mixed integer programming model was developed to analyze the effects of 1990 Farm Bill legislation on the crop-mix decisions made on cotton farms. Results showed that, when compared to the 1985 Farm Bill, the 1990 Farm Bill can result in higher whole-farm income despite new "triple base" provisions limiting payment acres. The increase in income results from elimination of limited cross-compliance provisions and the change to a three-year base calculation. The model was also used to assess the likely impact of possible changes in the current legislation.Cotton farms, Farm programs, Programming models, Agricultural and Food Policy, Crop Production/Industries,