L.A. Peixoto
Minimum number of measurements for evaluating soursop (Annona muricata L.) yield
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 mu.. Read More»
Genet. Mol. Res. 16(2): gmr16029594
DOI: 10.4238/gmr16029594
Artificial neural networks reveal efficiency in genetic value prediction
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
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
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
Comparison of methods used to identify superior individuals in genomic selection in plant breeding
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
Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yield
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
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha.
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
Selecting sugarcane genotypes by the selection index reveals high gain for technological quality traits
Sugarcane (Saccharum sp) is one of the most promising crops and researchers have sought for renewable alternative energy sources to reduce CO2 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 un.. Read More»
Genet. Mol. Res. 16(2): gmr16029678
DOI: 10.4238/gmr16029678
Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
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.. Read More»
Genet. Mol. Res. 16(3): gmr16039753
DOI: 10.4238/gmr16039753
Selection of Jatropha full-sib families based on genotypic adaptability and stability via mixed models
The objectives of this study were to estimate the genetic parameters for Jatropha full-sib families and to select superior genotypes based on grain yield, adaptability, and stability simultaneously to be used for cloning and crossings. Grain yield was evaluated in thirteen full-sib families in a randomized block design for 5 years. The harmonic mean of the relative .. Read More»
Genet. Mol. Res. 16(3): gmr16039722
DOI: 10.4238/gmr16039722
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