Research Article

Related GMR Articles

2017 May 10
Acclimatization; Edible Grain; Glycine max; Plant breeding; Quantitative Trait, Heritable; Selection, Genetic

This study aimed at verifying the adaptability and stability of soybean cultivars, considering the grain yield and quality of seeds, adopting univariate and multivariate approaches. The experiments were conducted in two crops, three environments, in 2013/2014 and 2014/2015 crop seasons, in the county of Inconfidentes, Lavras, and Patos de Minas, in the Minas Gerais State, Brazil. We evaluated ... more

K.B. Silva; A.T. Bruzi; E.V. Zambiazzi; I.O. Soares; J.L.A.R. Pereira; M.L.M. Carvalho
2017 May 10
Adaptation, Physiological; Droughts; Genotype; Germination; Glycine max; Osmotic pressure; Plant breeding; Selection, Genetic

Water deficit is the main reason for instability in the context of soybean culture. The development of strategies for the selection of more tolerant genotypes is necessary. These strategies include the use of polyethylene glycol 6000 solutions (PEG-6000) for conducting the germination test under conditions of water restriction. Thus, the objective of this study was to determine the osmotic ... more

S.A.G. Dantas; F.C.S. Silva; L.J. Silva; F.L. Silva
05/18/2017
Biofuels; Biomass; Hybridization, Genetic; Phenotype; Plant breeding; Poaceae; Selection, Genetic

Brazil has great potential to produce bioenergy since it is located in a tropical region that receives high incidence of solar energy and presents favorable climatic conditions for such purpose. However, the use of bioenergy in the country is below its productivity potential. The aim of the current study was to select full-sib progenies and families of elephant grass (Pennisetum purpureum S.) ... more

E.V. Rodrigues; R.F. Daher; D. Santos; M. Vivas; J.C. Machado; doA. Gravina; Y.P. de Souza; A.K. Vidal; D.S. Rocha; R.S. Freitas
05/18/2017
Ecosystem; Genotype; Phenotype; Plant breeding; Polymorphism, Genetic; Quantitative Trait, Heritable; Selection, Genetic; Vigna

Estimating genetic parameters in plant breeding allows us to know the population potential for selecting and designing strategies that can maximize the achievement of superior genotypes. The objective of this study was to evaluate the genetic potential of a population of 20 cowpea genotypes by estimating genetic parameters and path analysis among the traits to guide the selection strategies. ... more

K.V. Lopes; P.E. Teodoro; F.A. Silva; M.T. Silva; R.L. Fernandes; T.C. Rodrigues; T.C. Faria; A.M. Corrêa
05/25/2017
Genetic variation; Hybridization, Genetic; Plant breeding; Quantitative Trait, Heritable; Silage; Zea mays

We assessed the impact of genetic divergence and the ability to combine corn hybrids used for the production of silage on the agronomic and bromatological traits of silage quality. We evaluated 18 corn hybrids used as genitors in a circulant diallel scheme in which each genitor hybrid participated in 9 hybrid combinations, and evaluated 100 treatments [18 genitor hybrids, 81 diallelic hybrids ... more

E. Gralak; M.V. Faria; A.S.T. Figueiredo; D.A. Rizzardi; M. Neumann; M.C. Mendes; C.A. Scapim; S. Galbeiro
05/25/2017
Acclimatization; Cold-Shock Response; Flowers; Genes, Essential; Genes, Plant; Genetic markers; Genotype; Genotyping Techniques; Plant breeding; Polymerase chain reaction; Prunus persica; Reference Standards

Selecting and validating reference genes are the first steps in studying gene expression by reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). The present study aimed to evaluate the stability of five reference genes for the purpose of normalization when studying gene expression in various cultivars of Prunus persica with different chilling requirements. Flower bud tissues ... more

N. Marini; C.B. Bevilacqua; M.V. Büttow; M.C.B. Raseira; S. Bonow
05/25/2017
Flowers; Genotype; Plant breeding; Plant Development; Polymorphism, Genetic; Quantitative Trait, Heritable; Selection, Genetic; Zea mays

The aims of this study were to assess the linear relationships between agronomic and nutritional traits and to identify promising traits for indirect selection in early and super-early maturing maize genotypes. Two trials were run in the 2009/2010 agricultural year, each consisting of a randomized block design with three replications. One trial was run on 36 early maturing maize genotypes and ... more

B.M. Alves; C. Filho
05/25/2017
Cellulose; Genotype; Plant breeding; Quantitative Trait, Heritable; Saccharum; Selection, Genetic; Sucrose

Sugarcane (Saccharum sp) is one of the most promising crops and researchers have sought for renewable alternative energy sources to reduce CO emission. The study of strategies, which allow breeders in the selection of superior genotypes for many traits simultaneously, is important. Therefore, the objectives of this study were: i) to apply path analysis to better understand the relationship ... more

L.A. Silva; P.E. Teodoro; L.A. Peixoto; C. Assis; K. Gasparini; M.H.P. Barbosa; L.L. Bhering
05/31/2017
Analysis of variance; Annona; Data Interpretation, Statistical; Fruit; Genetic variation; Phenotype; Plant breeding; Quantitative Trait, Heritable

Repeatability studies on fruit species are of great importance to identify the minimum number of measurements necessary to accurately select superior genotypes. This study aimed to identify the most efficient method to estimate the repeatability coefficient (r) and predict the minimum number of measurements needed for a more accurate evaluation of soursop (Annona muricata L.) genotypes based ... more

C.F.B. Sánchez; P.E. Teodoro; S. Londoño; L.A. Silva; L.A. Peixoto; L.L. Bhering
2017 May 31
Genetic variation; Genotype; Glycine max; Models, Genetic; Plant breeding; Quantitative Trait, Heritable

The genetic diversity study has paramount importance in breeding programs; hence, it allows selection and choice of the parental genetic divergence, which have the agronomic traits desired by the breeder. This study aimed to characterize the genetic divergence between 24 soybean genotypes through their agronomic traits, using multivariate clustering methods to select the potential genitors for ... more

M.M. Oliveira; L.B. Sousa; M.C. Reis; E.G.Silva Junior; D.B.O. Cardoso; O.T. Hamawaki; A.P.O. Nogueira

Pages