Research Article

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Alleles; Cucurbitaceae; Genotype; Heterozygote; Microsatellite Repeats; Polymorphism, Genetic

Taking into account the scenario of melon production (Cucumis melo L.) in Brazil, it is notable the importance of the culture in the fruit market. The preference of the national market is concentrated in the fruits of the yellow type. Therefore, it is possible that the genetic base of the commercial cultivars is relatively narrow due to the loss of important genes in the breeding process, and ... more

N. Carvalho; F.M. Canela; P.H.S. Leite; M.A. Ferreira; V.R. Oliveira; M.F. Santos; N.O.S. Souza; G.S.C. Buso
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interspecific hybrid; Modified location model; Multivariate analysis; Plant breeding

The Ward-MLM procedure was used to evaluate genetic variation in four backcross progenies and in their parents, hybrid F1 HD13 and donor parent Passiflora sublanceolata. Sixteen quantitative descriptors and five qualitative characteristics of relevance to ornamental flower production were assessed. Using the pseudo-F and pseudo-T² criteria, we identified four groups among these plants ... more

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Correlations between traits; Genetic divergence; Multivariate analysis; Plant breeding

The aim of this study was to use multivariate methods and Pearson and partial correlations to disregard phenotypic characteristics that contribute little to differentiation between Brachiaria ruziziensis genotypes. Eighty-one genotypes of B. ruziziensis were assessed in completely randomized blocks with three replications. Ten phenotypic characteristics were assessed: ... more

B.A. Rezende; C.B. Ribeiro; D.H.L. Teixeira; F.M.A. Gonçalves; S. Sobrinho; B.A. Rezende; C.B. Ribeiro; D.H.L. Teixeira; F.M.A. Gonçalves; S. Sobrinho; B.A. Rezende; C.B. Ribeiro; D.H.L. Teixeira; F.M.A. Gonçalves; S. Sobrinho
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Coffea arabica; Genetic divergence; Multivariate analysis; Plant breeding

In a coffee plantation of a coffee ‘Acaiá’ cultivar (Coffea arabica), on the Midwest of Minas Gerais in Capitólio city, a different kind of coffee tree was found (1989), possibly due to a mutation. It presented larger leaves and grains than those of conventional coffee trees and was named as “Big Coffee VL.” The aim of this study was to estimate the ... more

J.A. Silva; S.P. Carvalho; A.T. Bruzi; R.J. Guimarães; L.L. Oliveira; L.C. Simões; J.A. Silva; S.P. Carvalho; A.T. Bruzi; R.J. Guimarães; L.L. Oliveira; L.C. Simões
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DNA, Plant; Edible Grain; Genetic variation; Hordeum; Minerals; Plant breeding; Quantitative trait loci; Selection, Genetic

Mineral elements in barley (Hordeum vulgare) play an important physiological role in global human health. In this study, quantitative trait loci (QTLs) for concentration of nine mineral elements in barley grain and grass powder were detected in a population of 193 recombinant inbred lines of the barley cross Ziguangmangluoerling x Schooner and the parents. We observed large genetic variation ... more

Y.W. Zeng; J. Du; X.M. Yang; X.Y. Pu; L.X. Wang; J.Z. Yang; L.J. Du; T. Yang; S.M. Yang; Z.H. Sun
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cluster analysis; Conservation of Natural Resources; DNA, Plant; Genetic markers; Genetic variation; Genetics, Population; Microsatellite Repeats; Myrtaceae; Phylogeny; Plant breeding

Myrcia lundiana Kiaersk. is a tree of the family Myrtaceae found in tropical and subtropical areas of the southern hemisphere that produces essential oil. The aim of this study was to characterize the genetic diversity of M. lundiana plants from a native population of Parque Nacional de Itabaiana, using inter-simple sequence repeat molecular markers. Thirty-five primers were tested, 20 of ... more

M.F. Alves; D.A.C. Nizio; F.A. Brito; T.S. Sampaio; A.V.C. Silva; M.F. Arrigoni-Blank; S.V.A. Carvalho; A.F. Blank
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Chromosome Mapping; Chromosomes, Plant; Computer simulation; Epistasis, Genetic; Inbreeding; Models, Genetic; Plant breeding; Plants; Quantitative trait loci; Sample Size; Selection, Genetic

The accuracy of quantitative trait loci (QTLs) identified using different sample sizes and marker densities was evaluated in different genetic models. Model I assumed one additive QTL; Model II assumed three additive QTLs plus one pair of epistatic QTLs; and Model III assumed two additive QTLs with opposite genetic effects plus two pairs of epistatic QTLs. Recombinant inbred lines (RILs) (50- ... more

C.F. Su; W. Wang; S.L. Gong; J.H. Zuo; S.J. Li
12/19/2016
Plant breeding; Quantitative trait loci; Quantitative Trait, Heritable; Selection, Genetic; Zea mays

A challenge faced by popcorn breeding programs is the existence of a negative correlation between the two main traits, popping expansion and yield, which hinders simultaneous gains. The objective of this study was to investigate the use of a new variable or super trait, which favors the reliable selection of superior progenies. The super trait 'expanded popcorn volume per hectare' was ... more

A.T. do Amara Junior; D. Santos; I.F.S. Gerhardt; R.N.F. Kurosawa; N.F. Moreira; M.G. Pereira; deA. Gravina; F.H. de L. Silva
12/19/2016
Avena; Brazil; Disease resistance; Edible Grain; Fungicides, Industrial; Plant breeding; Quantitative trait loci; Selection, Genetic

The State of Rio Grande do Sul (RS) is the largest producer of oat in Brazil with the aid of consolidated breeding programs, which are constantly releasing new cultivars. The main objectives of this study were to: 1) evaluate the annual genetic progress in grain yield and hectoliter weight of the oat cultivars in RS, with and without fungicide use on aerial parts of plants; and 2) evaluate the ... more

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3/30/2017
Agriculture; Brazil; Edible Grain; Genetic variation; Plant breeding; Triticum

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 ... more

D.N. Follmann; C. Filho; A.D. Lúcio; V.Q. de Souza; M. Caraffa; C.A. Wartha

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