1,721,036 research outputs found
Prediction of genotypic values and estimation of genetic parameters in common bean
Get PDFEighteen common bean (Phaseolus vulgaris L.) genotypes were evaluated in 25 environments of the state of São Paulo in 2001 and 2002. The estimation of genetic parameters by the Restricted Maximum Likelihood (REML) and the prediction of genotypic values via Best Linear Unbiased Prediction (BLUP) were obtained by software Selegen-REML/BLUP. The estimate of the broad-sense heritability was low for the grain yield (0.03), since it took individual plots into consideration and was free of the effects of interaction with years, cultivation periods and site. Nevertheless, the heritability at the level of line means across the various environments was high (0.75), allowing a high accuracy (0.87) in the selection of lines for planting in the environment mean. Among the 18 genotypes, the predicted genotypic values of nine were higher than the general mean. The genetic gain predicted with the selection of the best line, in this case line Gen 96A31 of the IAC, was 16.25%.Dezoito genótipos de feijoeiro (Phaseolus vulgaris L.) foram avaliados em 25 ambientes do estado de São Paulo durante os anos de 2001 e 2002. As estimativas de parâmetros genéticos por REML e a predição de valores genotípicos via BLUP foram obtidas por meio do aplicativo computacional Selegen REML/BLUP, seguindo o modelo misto para linhagens. A estimativa da herdabilidade no sentido amplo para produção de grãos foi baixa (0,03), por ser em nível de parcelas individuais e livre dos efeitos da interação com anos, épocas e locais. No entanto, a herdabilidade ao nível de médias de linhagens ao longo dos vários ambientes foi alta (0,75), permitindo alta acurácia (0,87) na seleção de linhagens para plantio no ambiente médio. Dentre os 18 genótipos, nove apresentaram valores genotípicos preditos superiores à média geral. O ganho genético predito com a seleção da melhor linhagem, no caso, a linhagem Gen 96A31 do IAC, foi de 16,25%
Genetic gain for yield in the common beans breeding program at Agronomical Institute (IAC) from 1989 to 2007
No full textNo programa de melhoramento genético de feijoeiro do Instituto Agronômico (IAC) foram disponibilizadas até a presente data 38 cultivares de feijoeiro, contribuindo para o aumento da produtividade média no Brasil e, principalmente, no estado de São Paulo. Nesse contexto, o objetivo deste trabalho foi avaliar o progresso genético obtido para produtividade do feijoeiro com a pesquisa desenvolvida pelo IAC no período de 1989 a 2007. Foram avaliados 211 experimentos e 134 linhagens avançadas, distribuídas em 10 ciclos de seleção e conduzidas em três épocas de semeadura do feijoeiro. O progresso genético foi estimado para os períodos de pesquisa de 1989 a 1996 e de 1997 a 2007 em função das características dos experimentos de avaliação. No segundo período, estimou-se também o ganho por épocas de semeadura e tipos de tegumento. Nas análises, utilizou-se um modelo misto cujos efeitos foram obtidos por meio de quadrados mínimos ponderados, obtendo-se médias ajustadas em relação à produtividade média dos genótipos. Em seguida, a partir das médias ajustadas, realizou-se a análise de regressão linear para obtenção do progresso genético estimado por ciclo de seleção. No período entre 1989 a 1996, obteve-se um ganho relativo significativo de 1,91% por ciclo de seleção. Para o período de 1997 a 2007, o ganho obtido foi negativo (-0,51%), mas não significativo estatisticamente, ou seja, pode ser considerado como uma estabilização no ganho em produtividade. Embora a estimativa do ganho, no segundo período, tenha sido estável este valor foi cerca de 1000 kg/ha superior em relação à média obtida no primeiro período. Considera-se como a principal causa na estabilização do ganho em produtividade a mudança nos objetivos do programa de melhoramento que buscou obter linhagens com melhor qualidade tecnológica (maior tamanho de grãos e menor tempo de cozimento). Os resultados observados por épocas de semeadura revelaram que na época das águas ocorreu a maior produtividade média, enquanto que na época de inverno, o melhor índice de progresso genético. A separação por tipo de tegumento resultou na ocorrência de ganhos negativos como já esperado, mas não significativos estatisticamente, com valores de -0,64% por ciclo de seleção para o tegumento tipo preto e -0,12% por ciclo de seleção para o tegumento tipo carioca. Considerando-se o progresso genético obtido para os dois períodos de pesquisa, no valor de 0,25% por ciclo de seleção, e a área cultivada de 192 mil hectares no Estado de São Paulo, na safra de 2006/2007, tem-se que este ganho representa um aumento de produtividade em torno de 14.000 sacas de 60 kg. Esse resultado revela que as estratégias de melhoramento de feijoeiro praticadas pelo programa do IAC foram eficientes no desenvolvimento de genótipos superiores.The genetic breeding program of common beans at Instituto Agronômico (IAC) has released 38 cultivars to the present date, thus contributing to increase the average yield of the crop in Brazil and, mainly, in the state of São Paulo. In this context, the goal of the present work was to evaluate the genetic gains obtained in yield for common beans due to the research developed by IAC during the period comprised from 1989 to 2007. A total number of 211 experiments and 134 advanced lines were evaluated, distributed along 10 selection cycles and carried out in three distinct sowing seasons. Genetic progression was estimated for the research periods of 1989 to 1996 and from 1997 to 2007 depending on the characteristics of the evaluation experiments. During the second period, the gain per sowing season and per tegument type has also been estimated. The analyses have employed a mixed model whose effects were obtained by weighted minimum squares, generating weighted averages according to the mean yield of the genotypes. Subsequently, the linear regression analysis was performed based on the weighted averages in order to calculate the estimated genetic gain per selection cycle. In the period from 1989 to 1996, a significant relative gain of 1.91% per selection cycle was obtained. For the subsequent period of 1997 to 2007, a non-significant negative gain (-0.51%) was obtained, it reflects the stabilization of the yield gain in the period. Although the gain estimate for the second period was stable, the value was approximately 1000 kg/ha superior to the average obtained in the first period. The main cause of the observed stability in the yield gain is likely to be due to the shift in the breeding program goals towards the generation of lines with higher technological features (bigger seeds and shorter cooking time). The results obtained for the distinct sowing seasons indicate that the rainy season favored higher average yield, whereas the winter sowing season exhibited better indices of genetic gain. The classification according to the tegument type resulted in negative gain as expected, although not at statistical significance levels, with values of -0.64% per selection cycle for black tegument and -0.12% per selection cycle for carioca tegument type. Considering the genetic gain for the research cycles investigated, the average of 0.25% gain per selection cycle and the cultivated area of 192 thousand hectares in the state of São Paulo, during the harvesting season of 2006/2007, the gain represents an increase of yield of approximately 14,000 bags of 60 kg. The results reveal that the breeding strategies for common beans employed at IAC were effective to develop superior genotypes
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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