Research Article

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09/21/2017
China; environment; Microsatellite Repeats; Perilla frutescens; Phylogeny; Phylogeography; Polymorphism, Genetic

In this study, 21 simple sequence repeat (SSR) markers were used to evaluate the genetic diversity and population structure among 77 Perilla accessions from high-latitude and middle-latitude areas of China. Ninety-five alleles were identified with an average of 4.52 alleles per locus. The average polymorphic information content (PIC) and genetic diversity values were 0.346 and 0.372, ... more

S.J. Ma; K.J. Sa; T.K. Hong; J.K. Lee
09/21/2017
Annona; Genotype; Plant breeding; Polymorphism, Genetic; Selection, Genetic; Selective breeding

The aim of this study was to evaluate repeated measures over the years to estimate repeatability coefficient and the number of the optimum measure to select superior genotypes in Annona muricata L. The fruit production was evaluated over 16 years in 71 genotypes without an experimental design. The estimation of variance components and the prediction of the permanent phenotypic value were ... more

C.F.B. Sánchez; R.S. Alves; A.D.P. Garcia; P.E. Teodoro; L.A. Peixoto; L.A. Silva; L.L. Bhering; M.D.V. Resende
09/21/2017
Brazil; Chromosomes, Plant; Flowers; Hybridization, Genetic; Orchidaceae; Pigmentation; Ploidies; Polymorphism, Genetic

Studies addressing chromosome variations have elucidated many points regarding the taxonomy of the Orchidaceae. Epidendrum L. besides being one the largest orchid genera, present remarkable morphological, and inter- and intraspecific chromosome variations. Thus, based on a previous report on flower color variation in individuals of E. ibaguense (magenta, pink, white, and red), our aim was to ... more

S.R. Nóbrega; A.L.F. Coelho; C.F. Verola; I.R. Costa; R. Vilaça; F.J.F. Luz; W.F. Araújo
09/27/2017
Arecaceae; environment; Gene frequency; Genotype; Microsatellite Repeats; Phenotype; Polymorphism, Genetic; Selection, Genetic

This study uses ISSR molecular markers to characterize the demographic pattern, and spatial genetic structure (SGS) at different life stages of development (cohorts) in a natural population of Copernicia prunifera in the Rio Grande do Norte State, Brazil. All individuals were sampled and georeferenced in a 0.55-ha plot. The demographic analyses showed a clustered pattern in the first-distance ... more

L.G. Pinheiro; K.P.T. Chagas; A.S.M. Freire; M.C. Ferreira; C.G. Fajardo; F.A. Vieira
09/27/2017
Amylases; Bacillus; Bacterial Proteins; Industrial Microbiology; Polymorphism, Genetic; RNA, Ribosomal, 16S; Soil Microbiology

The microorganisms are the best source of extracellular enzymes since they allow an economical technology with low-resource consumption compared to animals and plants. The amylases are among the most important enzymes being the genus Bacillus one of the most investigated due to its ability to produce this enzyme. The objective of this study was to isolate and analyze the genetic diversity ... more

A.R.E.O. Xavier; E.R. Lima; A.M.E. Oliveira; L. Cardoso; J. Santos; C.H.C. Cangussu; L.N. Leite; M.C.L. Quirino; I.G.C. Júnior; D.A. Oliveira; M.A.S. Xavier
09/27/2017
Dietary Fiber; Hybridization, Genetic; Plant breeding; Polymorphism, Genetic; Quantitative Trait, Heritable; Saccharum; Selective breeding; Sucrose

The forecast of a growing energy demand in the coming years has aroused particular interest in biomass for energy cogeneration, to diversify the energy matrix by using clean and renewable sources. To meet the new demands of the sugarcane industry, this study evaluated the agronomic performance and estimated genetic parameters for yield traits in sugar- and energy cane families derived from ... more

A.R.Fernande Júnior; A.A.C. de Azeredo; R.A. de Oliveira; J.C.Bespalho Filho; O.T. Ido; E. Daros; B.P. Brasileiro
09/21/2017
Brazil; Coffea; Genotype; Multivariate analysis; Polymorphism, Genetic

For the selection of coffee plants that have favorable characteristics, it is necessary to evaluate variables related to production. Knowledge of the genetic divergence of arabica coffee is of extreme importance, as this knowledge can be associated with plant breeding programs in order to combine genetic divergence with good productive performance. The objective of this study was to evaluate ... more

C.M.S. Machado; N.S. Pimentel; A. Golynsk; A. Ferreira; H.D. Vieira; F.L. Partelli
09/27/2017
Ecuador; Gene frequency; Humans; Microsatellite Repeats; Polymorphism, Genetic; Population

One hundred and eighty-two samples of unrelated people who requested the paternity test at the Molecular Biology and Genetics Laboratory of the Catholic University of Cuenca-Ecuador in the province of Azuay were studied, except for the D1S1656 (180 samples) and SE33 (89 samples) markers. The STRs D22S1045, D3S1358, VWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01, FGA, D1S1656, ... more

P.P. Orellana; C.F. Andrade; C.L. Arciniegas; G.C. Iannacone
03/22/2017
Crosses, Genetic; Edible Grain; Genotyping Techniques; Likelihood Functions; Models, Genetic; Plant breeding; Probability; Quantitative trait loci; Regression Analysis; Reproducibility of Results; Selection, Genetic; Zea mays

Methodologies using restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) in combination with sequential path analysis in maize are still limited in the literature. Therefore, the aims of this study were: i) to use REML/BLUP-based procedures in order to estimate variance components, genetic parameters, and genotypic values of simple maize hybrids, and ii) to fit stepwise ... more

T. Olivoto; M. Nardino; I.R. Carvalho; D.N. Follmann; M. Ferrari; V.J. Szareski; A.J. de Pelegrin; V.Q. de Souza
03/22/2017
Animals; Bayes Theorem; Breeding; Genetic markers; Genomics; Genotype; Models, Genetic; Polymorphism, Single Nucleotide; Predictive Value of Tests; Quantitative trait loci; Regression Analysis; Selection, Genetic

Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for breeding. GS increases the accuracy of breeding values (BV) prediction. Although a variety of statistical models have been proposed to estimate BV in GS, few methodologies have examined statistical challenges based on non-normal phenotypic ... more

M. Nascimento; F.F.E. Silva; M.D.V. de Resende; C.D. Cruz; A.C.C. Nascimento; J.M.S. Viana; C.F. Azevedo; L.M.A. Barroso

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