Estimativa da diversidade genética entre genótipos de sorgo sacarino baseando-se em caracteres agroindustriais.

O sorgo sacarino (Sorghum bicolor) se trata de uma planta que apresenta elevada produção de biomassa, porte alto e colmos suculentos com elevados teores de açúcares fermentescíveis no caldo. Estudos sobre diversidade genética são utilizados com frequência proporcionando a seleção dos melhores indivíduos, em busca do aumento da freqüência de alelos favoráveis. O objetivo deste trabalho foi avaliar a existência da variabilidade genética entre acessos e caracterizar a divergência genética entre genótipos de sorgo sacarino pertencentes ao programa de melhoramento do Centro Nacional de Pesquisa Milho e Sorgo (CNPMS), baseado-se em caracteres agroindustriais. O experimento foi conduzido no Centro Nacional de Pesquisa Milho e Sorgo (CNPMS), situado na cidade de Sete Lagoas, MG. Foram avaliados um total de 40 genótipos de sorgo sacarino. Os dados foram submetidos à análise de variância. Para o estudo da divergência genética entre os genótipos foi estimada a distância generalizada de Mahalanobis, obtidas a partir dos dados padronizados e posterior agrupamento utilizando o método hierárquico de ligação média entre grupos (UPGMA). Os resultados obtidos nos 40 acessos de sorgo sacarino do Centro Nacional de Milho e Sorgo evidenciam a existência da variabilidade genética

Reading tealeaves on the potential impact of the privatization of tea estates in Rwanda

The Poverty Reduction Strategy of the Government of Rwanda seeks to unlock the growth and poverty reduction potential of the tea sector through the privatization of tea estates. This paper uses the logic of causal inference and data from the 2004 Quantitative Baseline Survey of the tea sector to assess the potential impact of the privatization program. This entails anormalized comparison of productivity outcomes to account for household heterogeneity in terms of observable and non-observable determinants of these outcomes. The paper also compares living standards between tea and non-tea households. Three main findings emerge from the analysis. Productivity outcomes are generally better in the private sector than in the public sector. Male-headed households outperform female-headed households along all dimensions considered here. And tea households tend to be better off than non-tea households.Crops&Crop Management Systems,Access to Finance,Poverty Monitoring&Analysis,Small Area Estimation Poverty Mapping,Housing&Human Habitats

Does Opportunism Pay Off?

This article tests the hypothesis that the opportunistic manipulation of financial accounts by mayors increases their chances of re-election. Working with a large and detailed dataset comprising all Portuguese mainland municipalities, which covers the municipal elections that took place from 1979 to 2001, we clearly show that increases in investment expenditures and changes in the composition of spending favouring highly visible items are associated with higher vote percentages for incumbent mayors seeking re-election. Our results also indicate that the political payoff to opportunistic spending increased after democracy became well-established in the country.Voting functions, opportunism, local governments, elections, Portugal.

Chapter 20: What do interviewers learn? Changes in interview length and interviewer behaviors over the field period. Appendix 20

Appendix 20A Full Model Coefficients and Standard Errors Predicting Count of Questions with Individual Interviewer Behaviors, Two-level Multilevel Poisson Models with Number of Questions Asked as Exposure Variable, WLT1 and WLT2 Analytic strategyTable A20A.1 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Exact Question Reading with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.2 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Nondirective Probes with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.3 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Adequate Verification with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.4 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Appropriate Clarification with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.5 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Appropriate Feedback with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.6 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Stuttering During Question Reading with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.7 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Disfluencies with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.8 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Pleasant Talk with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.9 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Any Task-Related Feedback with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.10 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Laughter with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.11 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Minor Changes in Question Reading with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.12 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Major Changes in Question Reading with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.13 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Directive Probes with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.14 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Inadequate Verification with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Table A20A.15 Coefficients and Standard Errors from Multilevel Poisson Regression Models Predicting Number of Questions with Interruptions with Total Number of Questions Asked to Each Respondent as an Exposure Variable, WLT1 and WLT2 Appendix 20B Full Model Coefficients and Standard Errors Predicting Interview Length with Sets of Interviewer Behaviors, Two-level Multilevel Linear Models, WLT1 and WLT2 Table A20B.1 Coefficients and Standard Errors from Multilevel Linear Regression Models Predicting Total Duration, No Interviewer Behaviors, WLT1 and WLT2 Table A20B.2 Coefficients and Standard Errors from Multilevel Linear Regression Models Predicting Total Duration, Including Standardized Interviewer Behaviors, WLT1 and WLT2 Table A20B.3 Coefficients and Standard Errors from Multilevel Linear Regression Models Predicting Total Duration, Including Inefficiency Interviewer Behaviors, WLT1 and WLT2 Table A20B.4 Coefficients and Standard Errors from Multilevel Linear Regression Models Predicting Total Duration, Including Nonstandardized Interviewer Behaviors, WLT1 and WLT2 Table A20B.5 Coefficients and Standard Errors from Multilevel Linear Regression Models Predicting Total Duration, Including All Interviewer Behaviors, WLT1 and WLT2 Appendix 20C Mediation Models for Each Individual Interviewer Behavior Table A20C.1 Indirect, Direct And Total Effect of each Interviewer Behavior on Interview Length through Interview Order, Work and Leisure Today 1 Table A20C.2 Indirect, Direct And Total Effect of each Interviewer Behavior on Interview Length through Interview Order, Work and Leisure Today

Проблемный характер определения, структурирования и типологизации концептов

Определение концепта, его структура и типологи

Three-And-A-Half Million U.S. Employees Have Been Mislaid: Or, An Explanation of Unemployment, 1934-1941

A major conceptual error in the standard BLS and Lebergott unemployment estimates for 1933-1943 is reported. Emergency workers (employees of federal contracyclical programs such as WPA) were counted as unemployed on a normal-jobs-to-be-created instead of job-seekers unemployment definition. For 1934-1941, the corrected unemployment levels are reduced by two to three-and-a half million people and the rates by 4 to 7 percentage points. The corrected data show strong movement toward the natural unemployment rate after 1933 and are very well explained by an anticipations-search model using annual full-time earnings.

Family and parafamily relationships of the portuguese moriscos

En este artículo la autora pretende analizar las prácticas y actitudes familiares, ortodoxas y heterodoxas, de los moriscos portugueses en época moderna.In this paper the author tries to analyze the family attitudes and practices, orthodox and heterodox, of Portuguese moriscos in Early Moder Age