11 resultados para Sardinian warbler -- Breeding


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Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic selection afforded greater efficiency than QTL analysis and can be very useful in speeding up the selection procedures for agronomic traits in table grapes.

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The establishment of a specific Marker-Assisted Selection Facility at the Embrapa Rice and Beans Biotechnology Laboratory, in 2014, has better supported the routine analysis with molecular markers demanded by the Embrapa Common Bean Breeding Program. In addition, it has also supported other Embrapa plant breeding programs, such as rice and cotton.

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2016

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The aim of this study was to estimate genetic parameters to support the selection of bacuri progenies for a first cycle of recurrent selection, using the REML/BLUP (restricted maximum likelihood/best linear unbiased prediction) procedure to estimate the variance components and genotypic values. Were evaluated twelve variables in a total of 210 fruits from 39 different seed trees, from a field trial with an experimental design of incomplete blocks with clonal replies among subplots. The three variables related with the fruit development (weight, diameter, length) showed strong correlation, and where fruit length showed higher heritability and potential to be used for indirect selection. Among the 39 progenies evaluated in this study, five present potential to compose the next cycle of recurrent selection, due they hold good selection differential either to agrotechnological variables as to development of bacuri fruit.

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Mango (Mangifera indica L.) trees stand out among the main fruit trees cultivated in Brazil. The mango rosa fruit is a very popular local variety (landrace), especially because of their superior technological characteristics such as high contents of Vitamin C and soluble solids (SS), as well as attractive taste and color. The objective of this study was to select a breeding population of mango rosa (polyclonal variety; ≥5 individuals) that can simultaneously meet the fresh and processed fruit Vmarkets, using the multivariate method of principal components and the biplot graphic.

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2012

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This work aimed to report on the introduction of germplasm in a sui generis way and the initial results of Calabrian pepper breeding at Embrapa Vegetables.

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RESUMO: O presente trabalho teve como objetivo avaliar, através de diferentes testes, a qualidade fisiológica de sementes de girassol na safrinha do Distrito Federal. Os testes foram realizados no Laboratório de Sementes da Faculdade de Agronomia e Veterinária ? FAV, da Universidade de Brasília - UnB, Campus Universitário Darcy Ribeiro, Brasília, DF, em 2014. Foram realizados testes de germinação padrão em areia e em papel, peso da matéria verde e da matéria seca, envelhecimento acelerado, condutividade elétrica e lixiviados de potássio. Foram encontradas diferenças significativas entre os genótipos para as todas as características avaliadas. Dentre os genótipos avaliados, os híbridos que se destacaram quanto a qualidades fisiológicas desejáveis pelos testes de germinação, condutividade elétrica e lixiviação de potássio foram BRS G42 e SYN 045. Materiais genéticos foram identificados no trabalho para possível exploração em programas de melhoramento. ABSTRACT: This study aims to evaluate, through different tests, the seed physiological quality of sunflower in the second crop in the Brazilian savannah. The tests were carried on in the Seed Laboratory of Veterinary and Agriculture Faculty of University of Brasilia, in 2014. The tests were seedling emergence in sand and paper, green and dry matter weight, accelerated aging, electrical conductivity and potassium leached. Related to the evaluated characteristics, significant differences were found between genotypes. Among them, the hybrids that stood out for the physiologic characteristics through the germination test, electric conductivity and potassium leaching were BRS G42 and SYN 045. Genetic materials were identified in this study for a possible exploration in breeding programs.

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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.