Adaptabilidade e estabilidade de genótipos de girassol para a região subtropical do Brasil Adaptability and stability of sunflower genotypes for the sub-tropical region of Brazil

O sucesso da cultura do girassol (Helianthus annuus L.) no Brasil está associado à escolha adequada de cultivares com adaptação a diferentes ambientes. Quando há respostas diferenciadas dos genótipos testados nos diferentes ambientes, a decisão de lançamento de novas cultivares pode ser facilitada com estudos de adaptabilidade e estabilidade desses genótipos para reduzir os efeitos da interação genótipos x ambientes. No país, essas informações tornam-se mais importantes, pois a maioria das cultivares utilizadas, ou em lançamento, foram desenvolvidas em outros países, com características de solo e clima diferentes. Este trabalho teve como objetivo estudar a adaptabilidade e estabilidade de genótipos de girassol na região subtropical do Brasil, uma das regiões promissoras do país para o seu cultivo. Os dados foram obtidos da Rede Nacional de Ensaios de Avaliação de Genótipos de Girassol, coordenada pela Embrapa Soja, entre os anos de 1999/2000 e 2003/2004. Os caracteres avaliados foram rendimentos de grãos e de óleo (kg ha-1). Os estudos de adaptabilidade e estabilidade foram realizados segundo as metodologias de PORTO et al. (2007), EBERHART & RUSSELL (1966) e ROCHA et al. (2005), as quais utilizam procedimentos biométricos distintos. Diferente do método de EBERHART & RUSSELL (1966), o de PORTO et al. (2007) selecionou genótipos que, apesar de terem médias gerais inferiores às testemunhas, tiveram bons desempenhos em ambientes específicos. Esse método foi mais rigoroso em selecionar genótipo, em relação ao de ROCHA et al. (2005). Para rendimento de grãos, o genótipo ACA 884 apresentou indicação para ambientes em geral, EM 677008, Agrobel 930 e GV 26048 foram indicados para ambientes favoráveis, e ACA 885, para os desfavoráveis. Para rendimento de óleo, ACA 884 teve indicação geral, GV 26048, CF 17, Agrobel 972 e Helio 358 tiveram indicação para ambientes favoráveis, e HT 01 e ACA 885, para os desfavoráveis.<br>The success of sunflower crop in Brazil is associated to the choice of adapted cultivars to different environments. When there are different genotypes answers in different environments, the release of new cultivars can be facilitated by carrying out studies of adaptability and stability of these genotypes to reduce the effects of genotypes x environments interaction. In Brazil, this information become more important, therefore the main cultivars had been developed in others countries, with different soil traits and climate. The objective of this study was to select sunflower genotypes for the sub-tropical region of Brazil. Experimental data from 1999/2000 to 2003/2004 were obtained by the National Sunflower Trials, coordinated by Embrapa Soja. The evaluated traits were grain and oil yields (kg ha-1). It was carried out a study of adaptability and stability of genotypes according to the methods proposed by PORTO et al. (2007), EBERHART & RUSSELL (1966) and ROCHA et al. (2005). Differently from the method of EBERHART & RUSSELL (1966), PORTO et al. (2007) selected genotypes, that despite of its lower overall average in relation to reference standard had good performance in specific environments. This method was more rigorous to select genotypes, when compared with ROCHA et al. (2005). For grain yield, genotype ACA 884 was indicated for general environments, EM 677008, Agrobel 930 and GV 26048 were indicated for favorable environments and ACA 885 for the unfavorable environments. In the same way, for oil yield, ACA 884 had general indication, GV 26048, CF 17, Agrobel 972 and Helio 358 are indicated for favorable environments and HT 01 and ACA 885 for the unfavorable ones

MACVIA Clinical Decision Algorithm in Allergic Rhinitis in adolescents and adults

International audienceThe selection of pharmacotherapy for patients with allergic rhinitis depends on several factors, including age, prominent symptoms, symptom severity, control of allergic rhinitis, patient preferences and cost. Allergen exposure and resulting symptoms vary and treatment adjustment is required. Clinical decision support systems (CDSS) may be beneficial for the assessment of disease control. Clinical decision support systems should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine the treatment and its step-up or step-down strategy depending on AR control. MACVIA-LR (Fighting chronic diseases for active and healthy ageing) one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (MASK: MACVIA-ARIA Sentinel networK). A clinical decision support system is currently being developed to optimize allergic rhinitis control. An algorithm developed by consensus is presented in this paper. This algorithm should be confirmed by appropriate trials