Publications of : L.L. Bhering
Microbial Genetics   Research Article

High concentrations of sacharose lead to metabolic changes that favor the formation of co-products in ethanolic fermentation by Zymomonas mobilis

Z. mobilis has attracted great biotechnology interest in recent decades due to its unique metabolism and the ability to produce bioethanol from simple sugars in an effectively and quickly way. Z. mobilis also produce other bioactive products as fructose, gluconic acid, sorbitol, levan, fructo-oligosaccharides. This study aimed to identify proteins differentially expressed by Z. mobilis ZAG-12 u.. Read More»

Genet. Mol. Res. 17(4): http://dx.doi.org/gmr16039929

DOI: http://dx.doi.org/10.4238/gmr16039929

Human Genetics   Research Article

Artificial neural networks reveal efficiency in genetic value prediction

    L.A. Peixoto, L.L. Bhering and C.D. Cruz

The objective of this study was to evaluate the efficiency of artificial neural networks (ANNs) for predicting genetic value in experiments carried out in randomized blocks. Sixteen scenarios were simulated with different values of heritability (10, 20, 30, and 40%), coefficient of variation (5 and 10%), and the number of genotypes per block (150 and 200 for validation, and 5000 for neural netw.. Read More»

Genet. Mol. Res. 14(2): 2015.June.18.22

DOI: 10.4238/2015.June.18.22

Plant Genetics   Research Article

Biplot analysis of strawberry genotypes recommended for the State of Espírito Santo

    A.F. Costa, P.E. Teodoro, L.L. Bhering, N.R. Leal, F.D. Tardin and R.F. Daher

Most strawberry genotypes grown commercially in Brazil originate from breeding programs in the United States, and are therefore not adapted to the various soil and climatic conditions found in Brazil. Thus, quantifying the magnitude of genotype x environment (GE) interactions serves as a primary means for increasing average Brazilian strawberry yields, and helps provide specific recommendations.. Read More»

Genet. Mol. Res. 15(3): gmr.15038919

DOI: 10.4238/gmr.15038919

Human Genetics   Research Article

Determination of the optimal number of markers and individuals in a training population necessary for maximum prediction accuracy in F2 populations by using genomic selection models

    L.A. Peixoto, L.L. Bhering and C.D. Cruz

Genomic selection is a useful technique to assist breeders in selecting the best genotypes accurately. Phenotypic selection in the F2 generation presents with low accuracy as each genotype is represented by one individual; thus, genomic selection can increase selection accuracy at this stage of the breeding program. This study aimed to establish the optimal number o.. Read More»

Genet. Mol. Res. 15(4): gmr15048874

DOI: 10.4238/gmr15048874

Plant Genetics   Research Article

Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yield

    L.A. Silva, L.A. Peixoto, P.E. Teodoro, E.V. Rodrigues, B.G. Laviola, L.L. Bhering

Jatropha is a species with great potential for biodiesel production, and the knowledge on how the main agronomic traits are correlated will contribute to its improvement. Therefore, the objectives of this study were to estimate the genetic parameters of the traits: plant height at 12 and 40 months, canopy projection on the row at 12 and 40 months, canopy projection .. Read More»

Genet. Mol. Res. 16(1): gmr16019562

DOI: 10.4238/gmr16019562

Plant Genetics   Research Article

Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha.

    P.E. Teodoro, E.V. Rodrigues, L.A. Peixoto, L.A. Silva, B.G. Laviola, L.L. Bhering

Jatropha is research target worldwide aimed at large-scale oil production for biodiesel and bio-kerosene. Its production potential is among 1200 and 1500 kg/ha of oil after the 4th year. This study aimed to estimate combining ability of Jatropha genotypes by multivariate diallel analysis to select parents and crosses that allow gains in important agronomic traits. W.. Read More»

Genet. Mol. Res. 16(1): gmr16019545

DOI: 10.4238/gmr16019545

Medical Genetics   Research Article

Superiority of artificial neural networks for a genetic classification procedure

    I.C. Sant’Anna, R.S. Tomaz, G.N. Silva, M. Nascimento, L.L. Bhering and C.D. Cruz

The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant functions are commonly used multivariate statistical techniques for these situations, which allow for the allocation of an initially unknown individual to .. Read More»

Genet. Mol. Res. 14(3): 2015.August.19.24

DOI: 10.4238/2015.August.19.24

Plant Genetics   Research Article

Comparison of methods used to identify superior individuals in genomic selection in plant breeding

    L.L. Bhering, V.S. Junqueira, L.A. Peixoto, C.D. Cruz and B.G. Laviola

The aim of this study was to evaluate different methods used in genomic selection, and to verify those that select a higher proportion of individuals with superior genotypes. Thus, F2 populations of different sizes were simulated (100, 200, 500, and 1000 individuals) with 10 replications each. These consisted of 10 linkage groups (LG) of 100 cM each, containing 100 equally spaced markers per li.. Read More»

Genet. Mol. Res. 14(3): http://dx.doi.org/2015.September.9.26

DOI: http://dx.doi.org/10.4238/2015.September.9.26

Plant Genetics   Research Article

Selection index using the graphical area applied to sugarcane breeding

    L.A. Silva, R.T. Resende, R.A.D.C. Ferreira, G.N. Silv, V. Kist, M.H.P. Barbosa, M. Nascimento and L.L. Bhering

This study aimed to develop a multivariate selection index based on the graphical area of a polygon formed by standardized values, also known as radar chart. This methodology may be used to assist selection of superior genotypes in sugarcane breeding programs. Seven technological traits in 37 sugarcane genotypes were evaluated. An area index (AI) was constructed and the resulting polygon areas .. Read More»

Genet. Mol. Res. 15(3): gmr.15038711

DOI: 10.4238/gmr.15038711

Plant Genetics   Research Article

Selection in sugarcane based on inbreeding depression

    A.A.C. de Azeredo, L.L. Bhering, B.P. Brasileiro, C.D. Cruz and M.H.P. Barbosa

This study aimed to evaluate the gene action associated with yield-related traits, including mean stalk weight (MSW), tons of sugarcane per hectare (TCH), and fiber content (FIB) in sugarcane. Moreover, the viability of individual reciprocal recurrent selection (RRSI-S1) was verified, and the effect of inbreeding depression on progenies was checked. The results were.. Read More»

Genet. Mol. Res. 15(2): gmr.15027965

DOI: 10.4238/gmr.15027965

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