Identification of sorghum hybrids with high phenotypic stability using GGE biplot methodology.

The aim of this study was to identify sorghum hybrids that have both high yield and phenotypic stability in Brazilian environments. Seven trials were conducted between February and March 2011. The experimental design was a randomized complete block with 25 treatments and three replicates...

Phenotypic and molecular characterization of common bean genotypes for resistance to anthracnose.

This study aimed to perform phenotypic and molecular characterization of cultivars and breeding lines of common bean for resistance to anthracnose.

Two's a crowd: phenotypic adjustments and prophylaxis in anticarsia gemmatalis larvae are triggered by the presence of conspecifics.

2013

Adaptability and phenotypic stability of soybean cultivars for grain yield and oil content.

ABSTRACT. The aim of this study was to verify the adaptability and stability of soybean cultivars with regards to yield and oil content. Data of soybean yield and oil content were used from experiments set up in six environments in the 2011/12 and 2012/13 crop seasons in the municipalities of Patos de Minas, Uberaba, Lavras, and São Gotardo, Minas Gerais, Brazil, testing 36 commercial soybean cultivars of both conventional and transgenic varieties. The Wricke method and GGE biplot analysis were used to evaluate adaptability and stability of these cultivars. Large variations were observed in grain yield in relation to the different environments studied, showing that these materials are adaptable. The cultivars exhibited significant differences in oil content. The cultivars BRSGO204 (Goiânia) and BRSMG (Garantia) exhibited the greatest average grain yield in the different environments studied, and the cultivar BRSMG 760 SRR had the greatest oil content among the cultivars evaluated. Ecovalence was adopted to identify the most stable cultivars, and the estimates were nearly uniform both for grain yield and oil content, showing a variation of 0.07 and 0.01%, respectively. The GGE biplot was efficient at identifying cultivars with high adaptability and phenotype stability.

Wavelet analysis and hierarchical clustering of ofm phenotypic population's variations originated from southern america and europe and attempts of a first relation to molecular divergence.

In this work we compare Grapholita molesta Busck (Lepidoptera: Tortricidae) populations originated from Brazil, Chile, Spain, Italy and Greece using power spectral density and phylogenetic analysis to detect any similarities between the population macro- and the molecular micro-level. Log-transformed population data were normalized and AR(p) models were developed to generate for each case population time series of equal lengths. The time-frequency/scale properties of the population data were further analyzed using wavelet analysis to detect any population dynamics frequency changes and cluster the populations. Based on the power spectral of each population time series and the hierarchical clustering schemes, populations originated from Southern America (Brazil and Chile) exhibit similar rhythmic properties and are both closer related with populations originated from Greece. Populations from Spain and especially Italy, have higher distance by terms of periodic changes on their population dynamics. Moreover, the members within the same cluster share similar spectral information, therefore they are supposed to participate in the same temporally regulated population process. On the contrary, the phylogenetic approach revealed a less structured pattern that bears indications of panmixia, as the two clusters contain individuals from both Europe and South America. This preliminary outcome will be further assessed by incorporating more individuals and likely employed a second molecular marker.

Caracterização morfoagronômica e avaliação de parâmetros genéticos de girassol em três núcleos rurais do Distrito Federal.

RESUMO: O objetivo deste trabalho foi estimar caracteres genéticos, fenotípicos e ambientais relacionados aos componentes de produção e caracteres agromorfológicos de girassol em três núcleos rurais do Distrito Federal. Os experimentos foram conduzidos nas áreas experimentais da Embrapa Cerrados, Planaltina, DF, Embrapa Produtos e Mercado, Recanto das Emas, DF e na Fazenda Agua Limpa, da Universidade de Brasília. Através dos resultados obtidos, foram verificadas diferenças significativas entre os genótipos de girassol nos três núcleos rurais do Cerrado para todas as características agronômicas avaliadas. Ainda, baixos coeficientes de variação ambiental para quase todas as características, exceto para o tamanho de capitulo, indicaram boa precisão experimental e altos valores de herdabilidade, coeficientes de variação genéticos e acurácia evidenciaram condições favoráveis à seleção dos materiais para as características agronômicas avaliadas. ABSTRACT: The purpose of this study was to assess genetic, phenotypic and environmental characteristics related to agro-morphological traits of sunflower in three rural centers of Distrito Federal. The experiments were conducted at the experimental areas of Embrapa Cerrados, Planaltina, DF, Embrapa Produtos e Mercado, Recanto das Emas, DF e na Fazenda Agua Limpa, da Universidade de Brasília. Through the obtained results, were verified significate genotypic differences of sunflower at the three rural centers of Brazilian Savannah for all traits evaluated. In addition, low coefficients of environmental variation for almost all trait, except the head size, indicate good experimental precision and high values of heritability, genetic variation and accuracy showed favorable conditions to selecting materials for the agronomic traits evaluated.

Evolution of methodology for the study of adaptability and stability in cultivated species.

The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.