102 resultados para Milho-melhoramento genético


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RESUMO: O objetivo deste trabalho foi avaliar rendimento de grãos e componentes primários de rendimento de híbridos de gIrassol em Campo Novo do Parecis, na segunda safra do verão de 2015. O estudo foi realizado no campo experimental do Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso ? campus Campo Novo do Parecis, entre os meses de fevereiro e junho de 2015. Foram analisados 13 tratamentos (híbridos), em delineamento de blocos casualizados, com 4 repetições. Foram avaliadas as seguintes características: tamanho do capitulo, massa de capítulo, massa de aquênios por capítulo, índice de colheita, massa de mil aquênios e produtividade de aquênios. Os dados foram submetidos à análise de variância e ao teste de média Scott-Knott (p<0,05). O híbrido BRS G44 apresentou os melhores resultados para rendimento de grãos e seus componentes primários avaliados na segunda safra de verão de 2015, em Campo Novo do Parecis. Assim, este híbrido pode ser uma opção de cultivo na região.

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RESUMO: No ano agrícola 2013/2014, foram conduzidos três ensaios de avaliação de genótipos de girassol, sendo dois no município de Mata Roma e um em Magalhães de Almeida, com o objetivo de identificar materiais promissores para produção de grãos e óleo. O espaçamento utilizado foi de 0,70 m entre linhas com plantas distanciadas de 0,30 m. A adubação de fundação constou de 200 kg ha-1 da fórmula 05-30-15 + micronutrientes e cobertura aos 30 dias após semeadura, usando-se 30 kg ha-1 de N e 30 kg ha-1 de K2O. Em Mata Roma, a produtividade de grãos no ensaio final 01 variou de 1.866 kg ha-1 a 2.567 kg ha-1, obtida nos genótipos Embrapa 122 e BRS G34, respectivamente, ficando a média geral do ensaio em 2.095 kg ha-1. No ensaio final 02 a produtividade de grãos variou de 1.705 kg ha-1 a 2.036 kg ha -1 para os genótipos Helio 250 e MG 360, REspectivamente, com média geral de 1.834 kg ha-1. Em Magalhães de Almeida a produtividade de grãos obtida no ensaio final constou de 1.600 kg ha-1 no genótipo Helio 251, 2.110 kg ha-1 no CF 101 e média Geral do ensaio de 1.908 kg ha -1. Os maiores teores de óleo obtidos nos três ensaios foram 40,1%, 40,6%, 40,9% e 41,4%, respectivamente, nos genótipos CF 101, Paraíso 20, BRS G41 e MG 360. ABSTRACT: In the agricultural year 2013/2014, three sunflowers genotypes tests were conducted in the state of Maranhão: two in the county of Mata Roma and one in Magalhães de Almeida, in order to identify promising materials for the production of grain and oil. The spacing used was 0.70 m between rows with plants spaced of 0.30 m. The foundation of fertilization consisted of 200 kg ha-1 formula 05-30-15 + micro-nutrient and coverage on 30 days after sowing, using 30 kg ha-1 of N and 30 kg ha-1 of K2O. In Mata Roma, grain yield in the final test 01 ranged from 1,866 kg ha-1 to 2,567 kg ha-1, obtained at Embrapa 122 and BRS G34 genotypes, respectively, getting the overall average of the test in 2,095 kg ha-1. In the final test 02, the grain yield ranged from 1,705 kg ha-1 to 2,036 kg ha-1 for Helio 250 and MG 360 genotypes, respectively, with overall average of 1,834 kg ha-1. In Magalhães de Almeida the grain yield obtained in the final test consisted of 1,600 kg ha-1 in the genotype Helio 251, 2,110 kg ha-1 in the CF 101 and overall average test of 1,908 kg ha-1. The highest oil content obtained in the three tests were 40.1%, 40.6%, 40.9% and 41.4%, respectively, in the 101 CF genotypes, Heaven 20, BRS G41 and MG 360.

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RESUMO:Com o objetivo de avaliar o comportamento agronômico de genótipos de girassol no Cerrado do Distrito Federal, foram conduzidos ensaios na safrinha dos anos de 2014 e 2015, na estação experimental da Embrapa Cerrados, Planaltina, DF. O delineamento experimental foi de blocos ao acaso com quatro repetições, e foram avaliados 12 genótipos de girassol: HLA 2015, NTC 90, SYN 065, M734, BRS G44, HLA 2014, BRS G45, BRS G43, HLA 2013, HLA 2017, BRS G46, HLA 2016. As características avaliadas foram rendimento de grãos, tamanho do capitulo, peso de mil aquênios, altura de plantas e dias de floração inicial. Diferenças significativas foram encontradas para as características avaliadas. Os genótipos que se destacaram em relação ao rendimento de grãos foram HLA 2014 (3.161 kg ha-1) e a testemunha M743 (3.212 kg ha-1). Além disso, o ensaio do ano 2014 apresentou uma média de rendimento maior (2.829 kg ha-1) e mais precoces (63,10 dias) em relação a 2015. O trabalho permitiu a identificação de materiais promissores para exploração em programas de melhoramento genético. ABSTRACT: Aiming the evaluation on agronomic behavior of sunflower genotypes in the Brazilian savannah, experiments were carried on in the second crop of 2014 and 2015 at Centro de Pesquisa Agropecuária dos Cerrados (Embrapa), Planaltina, DF. A complete randomized block design was used with four replications and 12 genotypes of sunflower were analyzed: HLA 2015, NTC 90, SYN 065, M734, BRS G44, HLA 2014, BRS G45, BRS G43, HLA 2013, HLA 2017, BRS G46, HLA 2016.The evaluated characteristics were grain yield, head, weight thousand achenes, plant height, and flowering time. Significant differences were found in all evaluated characteristics. The genotypes that stood out in seed yield were HLA 2014 (3161 kg ha-1) and M743 (3212 kg ha-1). Besides, the 2014 experiment presented a seed yield average higher (2829 kg ha-1), and earlier flowering (63,10 days) when compared to 2015 experiment. This study allowed the identification of promising materials to explore 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.

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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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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.