Research Article

Related GMR Articles

Jatropha; Microsatellite Repeats; Plant breeding; Polymorphism, Genetic; Seed Bank

Jatropha curcas L. is a highly promising oilseed for sustainable production of biofuels and bio-kerosene due to its high oil content and excellent quality. However, it is a perennial and incipiently domesticated species with none stable cultivar created until now despite genetic breeding programs in progress in several countries. Knowledge of the genetic structure and diversity of the species ... more

B.G. Díaz; D.M. Argollo; M.C. Franco; S.M. Nucci; W.J. Siqueira; D.M. de Laat; C.A. Colombo
Hyptis; Microsatellite Repeats; Plant breeding; Polymorphism, Genetic

Hyptis pectinata, popularly known as 'sambacaitá' or 'canudinho', is a medicinal and aromatic species widely used in the Brazilian Northeast. In Sergipe, the excessive extraction of natural resources may reduce the genetic variability of native plants. Thus, molecular markers have frequently been applied to the characterization of genetic diversity as the basis for germplasm conservation and ... more

R.B. Feitosa-Alcantara; A.V.C. Silva; A.F. Blank; C.S. Almeida; S.V. Alvares-Carvalho; M.F. Arrigoni-Blank
Capsicum; Genotype; Plant breeding; Plant Immunity; Plant Viruses; Polymorphism, Genetic; Quantitative Trait, Heritable; Seed Bank

Germplasm banks are essential as sources of genetic variability for plant breeding programs. To characterize a Brazilian Capsicum frutescens collection, 21 malagueta and 5 Tabasco hot pepper accessions were evaluated under field and greenhouse conditions regarding morphological and molecular traits, as well as resistance to viruses. Morphological characterization was performed using 53 IPGRI ( ... more

M.F. Lima; S.I.C. Carvalho; C.F. Ragassi; L.B. Bianchetti; F.G. Faleiro; F.J.B. Reifschneider
Flowers; Genes, Dominant; Genetic variation; Phaseolus; Plant breeding; Quantitative trait loci; Quantitative Trait, Heritable; seeds

This article aimed to study the genetic control of some flowers and pod set of common bean and to verify if its estimate varies with environmental conditions and gene pool. A complete diallel was used among six lines, but no reciprocal ones. The treatments were evaluated in three harvests/generations - F, F, and F - in 2015/2016, in a randomized complete block design with four replications. ... more

E.S. Martins; R.A.Pinto Júnior; A.F.B. Abreu; M.A.P. Ramalho
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
Gene-Environment Interaction; Genetic variation; genomic instability; Hypocotyl; Models, Genetic; Plant breeding; Plant Leaves; Quantitative Trait, Heritable; Selective breeding; Soybeans

In order to obtain the certificate of cultivar protection, it is necessary to prove its distinctiveness, homogeneity, and stability. Currently, there are 37 descriptors for differentiating soybeans cultivars. However, they are still not enough and, as a result, it is necessary to create, identify, and evaluate new descriptors. This study was aimed at evaluating the genotypic and environment ... more

M.V.A. Chaves; N.S. Silva; R.H.O. Silva; G.L. Jorge; I.C. Silveira; L.A. Medeiros; R.L. Hamawaki; O.T. Hamawaki; A.P.O. Nogueira; C.D.L. Hamawaki
Agricultural Irrigation; Coffea; Crops, Agricultural; Genetic variation; Genotype; Quantitative Trait, Heritable

The use of supplementary irrigation to sustain the plantation during moments of severe water stress or moments of high water demand is becoming almost a norm to keep sustainable crops, especially due to the climate changes and the high frequency in which climate extremes are occurring lately. The objective of this study was to evaluate the agronomic performance and expression of genetic ... more

W.N. Rodrigues; S.V.B. Brinate; L.D. Martins; T.V. Colodetti; M.A. Tomaz
Asteraceae; Genotype; Microsatellite Repeats; Phylogeny; Polymorphism, Genetic

Yacon cultivation has been intensified and the investigations of this crop have increased at the scientific, agricultural, and social levels because the roots of yacon show beneficial properties for human health, such as reducing cholesterol and glucose blood levels. Since the investigations involving yacon are very recent, there is little information available in terms of the genetic ... more

R.M. Lorenzoni; F. Menine; M. Júnior; F.L. Oliveira; T.C.B. Soares
Arecaceae; DNA Primers; Endangered species; Genetic markers; Heterozygote; Microsatellite Repeats; Polymerase chain reaction; Polymorphism, Genetic

The licuri palm Syagrus coronata plays a key role in the ecology and economy of Brazilian semiarid region. Nonetheless, genetic data about populations of this species are absent even though the intensive and uncontrolled exploitation since colonial periods has threatened the sustainability and viability of licuri populations. Therefore, we attempted to test the efficacy of transferability of ... more

R.R. Simplicio; D.G. Pereira; A.M. Waldschmidt
Animal Shells; Animals; Bivalvia; Breeding; Evolution, Molecular; Female; Fresh Water; Genetic variation; Genetics, Population; male; Microsatellite Repeats; Phenotype; Phylogeny; Quantitative trait loci

Four Hyriopsis cumingii populations, a breeding population (BP), a cultured population (FP), two wild populations from Poyang Lake (PY) and Dongting Lake (DT), and an H. schlegelii population were collected (JX), and the first filial generations (F1) were bred synchronously. The shell nacre polymorphisms, population genetic diversity, and genetic structures of the F1 of each population were ... more

L.M. Wu; Z.Y. Bai; X.J. Liu; C. Jin; H. Yin; J.L. Li