Response of maize inbred lines to two European corn borer (Ostrinia nubilalis) strains in Canada

Six lignées de maïs-grain (CM47, A619, F2, CM107, CM7 et A654) ont été évaluées en 1986 et 1987 dans quatre localités de l'Ontario et du Québec pour leur résistance à des infestations artificielles de la pyrale du maïs, Ostrinia nubilalis, de la race univoltine et de la première génération de la race bivoltine. Trois critères ont été utilisés: la criblure du feuillage, les dégâts totaux des plantes à la récolte, et le rapport longueur des galeries creusées par les chenilles dans les tiges sur la hauteur des plantes. Des interactions importantes ont été observées pour les critères utilisés entre les années et localités, mais la réaction des lignées de maïs a été plutôt constante. Pour tous les critères, la race univoltine a souvent causé, d'une façon significative, plus de dégâts aux plantes que la race bivoltine. En général, la lignée A619 a démontré le plus de résistance-tolérance tout en conservant une bonne tenue des tiges jusqu'à la récolte. On aurait avantage à utiliser la race univoltine dans les programmes d'amélioration génétique du maïs pour sa résistance à la pyrale.In 1986 and 1987, six maize inbred lines (CM47, A619, F2, CM107, CM7, and A654) were evaluated at four locations across Ontario and Quebec for their resistance to artificially infested univoltine and lst generation bivoltine strains of the European corn borer, Ostrinia nubilalis. Three criteria were used: leaf feeding, total plant damage at harvest and length of tunnels/plant height ratio. Substantial interactions in borer damage measurements were observed between locations and years, but inbred reaction was relatively consistent. For all criteria, the univoltine strain often caused significantly more damage than the bivoltine borer. In general, A619 had the greatest resistance-tolerance with good standability until harvest. Wherever possible, evaluation of genetic resistance in maize germplasm should be conducted using the univoltine borer strain

Uses of population census data for monitoring geographical imbalance in the health workforce: snapshots from three developing countries

BACKGROUND: Imbalance in the distribution of human resources for health (HRH), eventually leading to inequities in health services delivery and population health outcomes, is an issue of social and political concern in many countries. However, the empirical evidence to support decision-making is often fragmented, and many standard data sources that can potentially produce statistics relevant to the issue remain underused, especially in developing countries. This study investigated the uses of demographic census data for monitoring geographical imbalance in the health workforce for three developing countries, as a basis for formulation of evidence-based health policy options. METHODS: Population-based indicators of geographical variations among HRH were extracted from census microdata samples for Kenya, Mexico and Viet Nam. Health workforce statistics were matched against international standards of occupational classification to control for cross-national comparability. Summary measures of inequality were calculated to monitor the distribution of health workers across spatial units and by occupational group. RESULTS: Strong inequalities were found in the geographical distribution of the health workforce in all three countries, with the highest densities of HRH tending to be found in the capital areas. Cross-national differences were found in the magnitude of distributional inequality according to occupational group, with health professionals most susceptible to inequitable distribution in Kenya and Viet Nam but less so in Mexico compared to their associate professional counterparts. Some discrepancies were suggested between mappings of occupational information from the raw data with the international system, especially for nursing and midwifery specializations. CONCLUSIONS: The problem of geographical imbalance among HRH across countries in the developing world holds important implications at the local, national and international levels, in terms of constraints for the effective deployment, management and retention of HRH, and ultimately for the equitable delivery of health services. A number of advantages were revealed of using census data in health research, notably the potential for producing detailed statistics on health workforce characteristics at the sub-national level. However, lack of consistency in the compilation and processing of occupational information over time and across countries continues to hamper comparative analyses for HRH policy monitoring and evaluation

The spatial structure of lithic landscapes : the late holocene record of east-central Argentina as a case study

Fil: Barrientos, Gustavo. División Antropología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; ArgentinaFil: Catella, Luciana. División Arqueología. Facultad de Ciencias Naturales y Museo. Universidad Nacional de La Plata; ArgentinaFil: Oliva, Fernando. Centro Estudios Arqueológicos Regionales. Facultad de Humanidades y Artes. Universidad Nacional de Rosario; Argentin