8 research outputs found

    GGE biplot analysis of the adaptability and stability of wheat genotypes in Mozambique

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    O objetivo deste trabalho foi usar o método GGE biplot, para selecionar genótipos de trigo superiores quanto à adaptabilidade e à estabilidade e determinar a produtividade de grãos em Sussundenga, Bárué e Lichinga, em Moçambique, nas safras agrícolas de 2018/2019, 2019/2020 e 2020/2021. Foram avaliados 11 tratamentos, tendo-se utilizado dez genótipos de trigo provenientes do International Maize and Wheat Improvement Center e uma cultivar testemunha, desenvolvida por uma empresa zimbabweana de sementes e usada no programa nacional de trigo do país. A produtividade de grãos foi a principal característica avaliada, por meio de análises individuais e conjuntas de variância, adaptabilidade e estabilidade. Os efeitos dos genótipos e da interação genótipo × ambiente foram significativos. A análise de adaptabilidade e estabilidade pelo método GGE biplot mostrou que os dois primeiros componentes principais explicaram 94,6% da variação total para o efeito ano, e 91,8%, para o efeito localização. Os seguintes genótipos podem ser selecionados para ambientes favoráveis e desfavoráveis: G1, considerado ideal devido sua alta média de produtividade e estabilidade ao longo dos anos; e G4 e G7, por apresentarem, simultaneamente, alta produtividade e estabilidade ao longo dos anos.The objective of this work was to use the GGE biplot method to select superior wheat genotypes for adaptability and stability, and to determine grain yield in Sussundenga, Bárué, and Lichinga, in Mozambique, in the 2018/2019, 2019/2020, and 2020/2021 crop years. Eleven treatments were evaluated, using ten wheat genotypes from International Maize and Wheat Improvement Center and a control cultivar developed by a Zimbabwean seed company and used in the national wheat program of the country. Grain yield was the main trait evaluated through individual and joint analyses of variance, adaptability, and stability. The effects of genotypes and the genotype × environment interaction were significant. The adaptability and stability analysis using the GGE biplot method showed that the first two main components explained 94.6% of the total variation for year effect, and 91.8%, for the location effect. The following genotypes can be selected for favorable and unfavorable environments: G1, considered ideal due to its high mean yield and stability over the years; and G4 and G7, for simultaneously showing a high yield and stability over the years

    GGE biplot analysis of the adaptability and stability of wheat genotypes in Mozambique

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    Abstract The objective of this work was to use the GGE biplot method to select superior wheat genotypes for adaptability and stability, and to determine grain yield in Sussundenga, Bárué, and Lichinga, in Mozambique, in the 2018/2019, 2019/2020, and 2020/2021 crop years. Eleven treatments were evaluated, using ten wheat genotypes from International Maize and Wheat Improvement Center and a control cultivar developed by a Zimbabwean seed company and used in the national wheat program of the country. Grain yield was the main trait evaluated through individual and joint analyses of variance, adaptability, and stability. The effects of genotypes and the genotype × environment interaction were significant. The adaptability and stability analysis using the GGE biplot method showed that the first two main components explained 94.6% of the total variation for year effect, and 91.8%, for the location effect. The following genotypes can be selected for favorable and unfavorable environments: G1, considered ideal due to its high mean yield and stability over the years; and G4 and G7, for simultaneously showing a high yield and stability over the years

    Ciência, Crise e Mudança. 3.º Encontro Nacional de História das Ciências e da Tecnologia. ENHCT2012

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    III Encontro Nacional de História das Ciências e da Tecnologia. O Centro de Estudos de História e Filosofia da Ciência, organiza o 3.º Encontro Nacional de História da Ciência e da Técnica, sob o tema «Ciência, Crise e Mudança» que tem lugar na Universidade de Évora, nos dias 26, 27 e 28 de Setembro de 2012. O Primeiro Encontro Nacional de História da Ciência teve lugar em 21 e 22 Julho de 2009, no seguimento do programa de estímulo ao de¬senvolvimento da História da Ciência em Portugal e de valorização do património cultural e científico do País, lançado pelo Ministério da Ciência, Tecnologia e Ensino Superior (MCTES) em 31 de Janeiro desse ano. A sua organização coube a investigadores do Instituto de História Contemporânea (IHC), da FCSH da UNL, e do Centro Científico e Cultural de Macau (CCCM), em cujas instalações se realizou. De en¬tre as conclusões do Encontro, destacou-se a de realizar periodicamen¬te novos Encontros Nacionais, a serem organizados de forma rotativa por diferentes centros e núcleos de investigadores. Na sequência deste Primeiro Encontro, o Centro Interuniversitário de História das Ciências e da Tecnologia (CIUHCT) organizou, entre 26 e 28 de Julho de 2010, o II Encontro, dedicado ao tema “Comunicação das Ciências e da Tecnologia em Portugal: Agentes, Meios e Audiências”. Cabe agora ao CEHFCi cumprir o que foi decidido no final deste Encontro. Na situação económica e política que hoje vivemos torna-se particularmente urgente aprofundar o estudo e o debate sobre a interação entre a Sociedade, a Ciência e a sua História. Coordenação Científica e Executiva do encontro estiveram a cargo de dois investigadores CEHFCi: Maria de Fátima Nunes, José Pedro Sousa Dia

    Núcleos de Ensino da Unesp: artigos 2008

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    Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)

    Observation of the rare Bs0oμ+μB^0_so\mu^+\mu^- decay from the combined analysis of CMS and LHCb data

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