103 resultados para Guzerá - Melhoramento genético
Tamanho efetivo populacional e diversidade genética em progênies de Pinus caribaea var. hondurensis.
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2015
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2015
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O objetivo deste trabalho foi avaliar o desempenho agronômico em termos de produtividade e características de frutos em 32 genótipos de melancia. O ensaio foi conduzido na Embrapa Semi-Árido, em Petrolina-PE, durante o período de agosto a outubro de 2005, utilizando o delineamento experimental de blocos ao acaso, com quatro repetições e parcelas com 10 plantas. As mudas foram transplantadas para o campo no espaçamento de 3 x 0,8 m. A cv ?C. Sweet? e as 31 linhas originadas do cruzamento entre ?C. Sweet? e ?CPATSA 85-030? foram avaliadas quanto a rendimento e aspectos externos e internos dos frutos. Verificou-se alto rendimento dos genótipos (33,6 a 66,7 t/ha). Na maioria das linhas, predominaram os frutos com casca rajada, com listras verde-claras alternadas com verde-escuras (96,8%), polpa vermelha (83,9%), alto teor de sólidos solúveis (10 a 12,3o Brix) (93,5%), frutos grandes (8,60 a 11,70 kg) (54,8%) e formato arredondado. Algumas linhas (9,7%) apresentaram alta prolificidade (2,9 a 2,5 frutos/planta), frutos pequenos e arredondados (4,30 a 4,60 kg) e casca rajada verde escura (3,2%). Entre os genótipos de melancia, 05.1168.003, 05.1172.004, 05.1185.001, 05.1189.003, 05.1203.007/1, 05.1194.001/1, 05.1194.005 e 05.1194.006 foram os mais promissores para a obtenção de cultivares resistentes ao oídio e com padrões de frutos para os mercados interno e externo.
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Common bean production in Goiás, Brazil is concentrated in the same geographic area, but spread acrossthree distinct growing seasons, namely, wet, dry and winter. In the wet and dry seasons, common beansare grown under rainfed conditions, whereas the winter sowing is fully irrigated. The conventional breed-ing program performs all varietal selection stages solely in the winter season, with rainfed environmentsbeing incorporated in the breeding scheme only through the multi environment trials (METs) wherebasically only yield is recorded. As yield is the result of many interacting processes, it is challengingto determine the events (abiotic or biotic) associated with yield reduction in the rainfed environments(wet and dry seasons). To improve our understanding of rainfed dry bean production so as to produceinformation that can assist breeders in their efforts to develop stress-tolerant, high-yielding germplasm,we characterized environments by integrating weather, soil, crop and management factors using cropsimulation models. Crop simulations based on two commonly grown cultivars (Pérola and BRS Radi-ante) and statistical analyses of simulated yield suggest that both rainfed seasons, wet and dry, can bedivided in two groups of environments: highly favorable environment and favorable environment. Forthe wet and dry seasons, the highly favorable environment represents 44% and 58% of production area,respectively. Across all rainfed environment groups, terminal and/or reproductive drought stress occursin roughly one fourth of the seasons (23.9% for Pérola and 24.7% for Radiante), with drought being mostlimiting in the favorable environment group in the dry TPE. Based on our results, we argue that eventhough drought-tailoring might not be warranted, the common bean breeding program should adapttheir selection practices to the range of stresses occurring in the rainfed TPEs to select genotypes moresuitable for these environments.
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2015
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O objetivo do presente estudo foi avaliar a variação genética e a seleção das melhores progênies de Myracrodruon urundeuva, Astronium fraxinifolium e Terminalia argentea, quanto aos caracteres de crescimento, em Selvíria, Mato Grosso do Sul. O teste de progênie foi instalado utilizando o delineamento de blocos ao acaso com 28 tratamentos, quatro repetições e dez plantas por parcela em linhas simples, no espaçamento 1,5 x 3,0 m. Aos 14 anos de idade, as progênies foram avaliadas quantos aos caracteres: altura (ALT); diâmetro a altura do peito (DAP); diâmetro médio da copa (DMC); forma do tronco (FT, escala de notas, variando de 1 a 5) e sobrevivência (SOB). Foram encontradas altas herdabilidades entre médias de progênies para os caracteres DAP (0,67), DMC (0,57) e forma do tronco (0,83), respectivamente. O ganho predito para DAP indica que a seleção baseada em informações, tanto de progênies, quanto de indivíduos dentro de progênies foram substanciais, o que denota uma boa perspectiva de exploração da variabilidade genética ao longo de um programa de melhoramento genético para as espécies estudadas, assim como o estabelecimento de estratégias para futura formação de um pomar de sementes.
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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 aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor.
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The objective of this study was to identify common bean cultivars with resistance to Fusarium wilt.
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This study aimed to perform phenotypic and molecular characterization of cultivars and breeding lines of common bean for resistance to anthracnose.
Selection between and within full-sib sugarcane families using the modified BLUPIS method (BLUPISM).
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2016
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The present work aimed to characterize lines produced by the Breeding Program of Common Bean (PMGF) of the Federal University of Viçosa (UFV), called ?Ruda R3? and ?Pérola R1?, in reaction to different races of P. griseola.
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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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This study aimed to select special grain bean lines with high productivity, adaptability and stability of production, evaluated in different environments of the Minas Gerais State, Brazil.
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2014