B.G. Laviola
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
Mixed models identify physic nut genotypes adapted to environments with different phosphorus availability
The aim of this study was to screen physic nut (Jatropha curcas) genotypes that differ in their phosphorous (P) use, using mixed models. The experiment was conducted in a greenhouse located in the experimental area of the Centro de Ciências Agrárias of the Universidade Federal do Espírito Santo, in Alegre, ES, Brazil. The experiment was arranged in a randomized block design,.. Read More»
Genet. Mol. Res. 15(3): gmr.15038429
DOI: 10.4238/gmr.15038429
Mixed models for selection of Jatropha progenies with high adaptability and yield stability in Brazilian regions
The aim of this study was to estimate genetic parameters via mixed models and simultaneously to select Jatropha progenies grown in three regions of Brazil that meet high adaptability and stability. From a previous phenotypic selection, three progeny tests were installed in 2008 in the municipalities of Planaltina-DF (Midwest), Nova Porteirinha-MG (Southeast), and Pelotas-RS (South). We evaluate.. Read More»
Genet. Mol. Res. 15(3): gmr.15038824
DOI: 10.4238/gmr.15038824
Development of novel simple sequence repeat markers from a genomic sequence survey database and their application for diversity assessment in Jatropha curcas germplasm from Guatemala
The last few years have seen a significant increase in the number of large-scale sequencing projects generating whole genome databases. These sequence databases can be surveyed (genome sequence survey) for tandem repeats as an alternative means to develop microsatellites for monitoring and selecting natural populations and cultivars of Jatropha curcas. A to.. Read More»
Genet. Mol. Res. 13(3): 2014.August.7.25
DOI: 10.4238/2014.August.7.25
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
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