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Dive into the research topics where V. Q. de Souza is active.

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Featured researches published by V. Q. de Souza.


Genetics and Molecular Research | 2017

Estimates of genetic parameters and genotypic values prediction in maize landrace populations by REML/BLUP procedure

Diego Baretta; Maicon Nardino; Ivan Ricardo Carvalho; A.J. de Pelegrin; Mauricio Ferrari; Vinícius Jardel Szareski; Willian Silva Barros; V. Q. de Souza; A. C. de Oliveira; L.C. da Maia

The REML/BLUP statistics are analyses that can be used as selective criteria in the routine of maize breeding programs. The present study aims to determine the genetic potential in crosses of landrace populations applying the REML/BLUP methodology, and to identify populations for the synthesis of new populations and intrapopulation selection for family farming systems, as well as genetic constitutions for use in maize breeding programs. Nine top cross hybrids obtained in the 2012/2013 harvest were evaluated along with their testator, the landraces used as parents, and four commercial hybrids, in a randomized block design, with information taken from the average of each plot. The evaluated traits were: leaf angle, number of ramifications of the tassel, spike insertion height, plant height, spike diameter, number of grains per spike, mass of grains per spike, spike mass, spike length, prolificity, mass of one hundred grains, and grain yield per plot. The data were analyzed using the Selegen-REML/BLUP software. The top cross hybrids Cateto Branco x Planalto, Amarelão x Planalto and the population Cateto Branco are ranked among the ten best crosses, simultaneously, for the traits: leaf angle, number of ramifications of the tassel, spike insertion height, and plant height (Cateto Branco x Planalto), and leaf angle, spike insertion height, and plant height (Amarelão x Planalto and Cateto Branco). The top cross hybrids Criolão x Planalto, Branco 8 Carreiras x Planalto, Caiano Rajado x Planalto, Amarelão x Planalto, Branco Roxo Índio x Planalto stand out for their high genotypic value of the individual BLUP mean components among the ten best genotypes for grain yield, and by combining three or more traits of interest together, being, for effects of selection, the most indicated.


Genetics and Molecular Research | 2017

Diallel and prediction (REML/BLUP) for yield components in intervarietal maize hybrids

Ivan Ricardo Carvalho; A.J. de Pelegrin; Vinícius Jardel Szareski; Mauricio Ferrari; T.C. da Rosa; Tamires da Silva Martins; N.L. dos Santos; Maicon Nardino; V. Q. de Souza; A. C. de Oliveira; L.C. da Maia

Genetic improvement is essential to achieve increments in maize (Zea mays L.) grain yield components. It may be obtained through crosses, which enable to exploit the effects of intervarietal heterosis, allelic complementarity, as well as gene actions and effects. This study estimated the components of variance and genetic parameters (REML/BLUP) of an intervarietal diallel to select and predict the best genotypes for maize yield components. The experimental design was randomized blocks containing 60 intervarietal maize hybrids arranged in three repetitions. They were obtained through intervarietal crosses and evaluated in a diallel scheme, where 14 open-pollinated varieties were designated as parentals. Thus, 10 crosses were performed for each hybrid combination to obtain the number of seeds necessary for the competition test. The measured traits were: grain volume relative index, the mass of one hundred grains, and grain yield. The male parents and the additive genetic fraction were determinants for grain volume relative index. Mass of one hundred grains and grain yield were defined by the specific combining ability, and female parents revealed low narrow sense heritability. The female parent Taquarão and male parent Argentino Amarelo presented the best general combining abilities for the measured traits. The specific combining abilities were expressed for crosses AL 25 x Dente de Ouro Roxo, AL 25 x BRS Pampeano, and Taquarão x Argentino Branco. Genetic estimates and predictions were consistent and applicable to breeding programs and could be applied in future quantitative genetic studies of maize.


Genetics and Molecular Research | 2017

Genetic progress in homogeneous regions of wheat cultivation in Rio Grande do Sul State, Brazil

Diego Nicolau Follmann; A. Cargnelutti Filho; A.D. Lúcio; V. Q. de Souza; M. Caraffa; C.A. Wartha

The State of Rio Grande do Sul (RS) stands out as the largest wheat producer in Brazil. Wheat is the most emphasized winter cereal in RS, attracting public and private investments directed to wheat genetic breeding. The study of genetic progress should be performed routinely at breeding programs to study the behavior of cultivars developed for homogeneous regions of cultivation. The objectives of this study were: 1) to evaluate the genetic progress of wheat grain yield in RS; 2) to evaluate the influence of cultivar competition trial stratification in homogeneous regions of cultivation on the study of genetic progress. Grain yield data of 122 wheat cultivars evaluated in 137 trials arranged in randomized block design with three or four replications were used. Field trials were carried out in 23 locations in RS divided into two homogeneous regions during the period from 2002 to 2013. Genetic progress for RS and homogeneous regions was studied utilizing the method proposed by Vencovsky. Annual genetic progress for wheat grain yield during the period of 12 years in the State of RS was 2.86%, oscillating between homogeneous regions of cultivation. The difference of annual genetic progress in region 1 (1.82%) in relation to region 2 (4.38%) justifies the study of genetic progress by homogeneous regions of cultivation.


Crop Breeding and Applied Biotechnology | 2009

Irrigated rice genotype performance under excess iron stress in hydroponic culture.

Maraisa Crestani; J. A. G. da Silva; V. Q. de Souza; Irineu Hartwig; H. de S. Luche; Rosa Sousa; F. I. F. de Carvalho; A. C. de Oliveira


Crop Breeding and Applied Biotechnology | 2005

Prediction of genetic value in F3 populations of Avena sativa L. using Reml/Blup.

Jefferson Luiz Meirelles Coimbra; Maurício Marini Kopp; V. Q. de Souza; Giovani Benin; Volmir Sergio Marchioro; F. I. F. de Carvalho; A. C. de Oliveira


Genetics and Molecular Research | 2018

Research Article Multivariate approach in eucalyptus breeding and its effecton genotype x environment interactions

O.P. dos Santos; Ivan Ricardo Carvalho; Vinícius Jardel Szareski; A.J. de Pelegrin; Mauricio Horbach Barbosa; Francine Lautenchleger; G. G. Conte; João Roberto Pimentel; Cristian Troyjack; Francisco Amaral Villela; Tiago Pedó; V. Q. de Souza


Genetics and Molecular Research | 2018

Research Article Phenotypic and predicted genetic approaches for genotype ranking of wheat seed yield in Brazil

Vinícius Jardel Szareski; Ivan Ricardo Carvalho; Kassiana Kehl; Alexandre Moscarelli Levien; T.C. da Rosa; Mauricio Horbach Barbosa; Gustavo Henrique Demari; João Roberto Pimentel; Cristian Troyjack; V. Q. de Souza; Emanuela Garbin Martinazzo; Francisco Amaral Villela; Tiago Pedó; Tiago Zanatta Aumonde


Genetics and Molecular Research | 2017

Univariate, multivariate techniques and mixed models applied to the adaptability and stability of wheat in the Rio Grande do Sul State

Vinícius Jardel Szareski; Ivan Ricardo Carvalho; Kassiana Kehl; Alexandre Moscarelli Levien; Maicon Nardino; Gustavo Henrique Demari; Francine Lautenchleger; V. Q. de Souza; T. PedÃ; Tiago Zanatta Aumonde


Revista Ceres | 2009

Correlation among phenotypic characters and path analysis as an indirect selection criterion for potato productivity and appearance.

G. O. da Silva; A. da S. Pereira; V. Q. de Souza; F. I. F. de Carvalho; R. Fritsche Neto


Archive | 2008

Valor genético de genitores de batata para capacidade de hibridação.

R. Fritsche Neto; A. da S. Pereira; V. Q. de Souza; G. O. da Silva; G. da S. Nolasco

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A. da S. Pereira

Empresa Brasileira de Pesquisa Agropecuária

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G. O. da Silva

Empresa Brasileira de Pesquisa Agropecuária

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Ivan Ricardo Carvalho

Universidade Federal de Pelotas

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A. C. de Oliveira

Universidade Federal de Pelotas

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R. Fritsche Neto

Universidade Federal de Pelotas

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Maicon Nardino

Universidade Federal de Pelotas

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Cristian Troyjack

Universidade Federal de Pelotas

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Francine Lautenchleger

Universidade Estadual de Maringá

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