Mixed Model
Adaptability and stability of cotton cultivars (Gossypium hirsutum L. race latifolium H.) using factor analytic model
Authors: J. J. Nuvunga, L. A. Oliveira, C. P. Silva, A. K. A. Pamplona, A. Q. Silva, E. G. Moura, M. P. Maleia, M. Balestre
To build up efficient strategies in plant breeding programs, it is requested a certain level of knowledge about the genotype–by-environments interaction (GEI) effects over the crop to be improved. One efficient way to gather this information is using linear mixed models using a parsimonious structure of GEI pattern such .. Read More»
- Genet. Mol. Res. 17(1):
- gmr16039890
- DOI:
- 10.4238/gmr16039890
Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes
Authors: V.B. Silva, R F. Daher, M.S.B. Ara�ºjo, Y.P. Souza, S. Cassaro, B.R.S. Menezes, L.M. Gravina, A.A.C. Novo, F.D. Tardin and A.T. Amaral J�ºnior
Genetically improved cultivars of elephant grass need to be adapted to different ecosystems with a faster growth speed and lower seasonality of biomass production over the year. This study aimed to use selection indices using mixed models (REML/BLUP) for selecting families and progenies within full-sib families of elephant gra.. Read More»
- Genet. Mol. Res. 16(3):
- gmr16039781
- DOI:
- 10.4238/gmr16039781
Indices estimated using REML/BLUP and introduction of a super-trait for the selection of progenies in popcorn
Authors: C. Vittorazzi, A.T. Amaral Junior, A.G. Guimar�£es, A.P. Viana, F.H.L. Silva, G.F. Pena, R.F. Daher, I.F.S Gerhardt, G.H.F. Oliveira and M.G. Pereira
Selection indices commonly utilize economic weights, which become arbitrary genetic gains. In popcorn, this is even more evident due to the negative correlation between the main characteristics of economic importance - grain yield and popping expansion. As an option in the use of classical biometrics as a selection index, the .. Read More»
- Genet. Mol. Res. 16(3):
- gmr16039769
- DOI:
- 10.4238/gmr16039769
Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L.
Authors: C.F.B. Sanch�©z, R.S. Alves, A.d.P. Garcia, P.E. Teodoro, L.A. Peixoto, L.A. Silva, L.L. Bhering and M.D.V. Resende
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 compon.. Read More»
- Genet. Mol. Res. 16(3):
- gmr16039753
- DOI:
- 10.4238/gmr16039753
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models
Authors: R.S. Alves, P.E. Teodoro, F.C. Farias, F.J.C. Farias, L.P. Carvalho, J.I.S. Rodrigues, L.L. Bhering and M.D.V. Resende
Cotton produces one of the most important textile fibers of the world and has great relevance in the world economy. It is an economically important crop in Brazil, which is the world’s fifth largest producer. However, studies evaluating the genotype x environment (G x E) interactions in cotton are scarce in this country... Read More»
- Genet. Mol. Res. 16(3):
- gmr16039726
- DOI:
- 10.4238/gmr16039726
Relationships between methods of variety adaptability and stability in sugarcane
Authors: T.O. Mendes de Paula, C.D. Marinho, V. Souza, M.H.P. Barbosa, L.A. Peternelli, C.A. Kimbeng and M.M. Zhou
The identification and recommendation of superior genotypes is crucial for the growth of industrial crops, and sugarcane breeding performs a vital role by developing more productive cultivars. The study of genotype x environment interaction has been an essential tool in this process. Thereby, the purpose of this study was to i.. Read More»
- Genet. Mol. Res. 13(2):
- http://dx.doi.org/2014.June.9.7
- DOI:
- http://dx.doi.org/10.4238/2014.June.9.7
Genomic selection for slaughter age in pigs using the Cox frailty model
Authors: V.S. Santos, S. Martins Filho, M.D.V. Resende, C.F. Azevedo, P.S. Lopes, S.E.F. Guimar�£es, L.S. Gl�³ria and F.F. Silva
The aim of this study was to compare genomic selection methodologies using a linear mixed model and the Cox survival model. We used data from an F2 population of pigs, in which the response variable was the time in days from birth to the culling of the animal and the covariates were 238 markers [237 single nucleotide polymorph.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.October.19.5
- DOI:
- 10.4238/2015.October.19.5
REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits
Authors: T. Olivoto, M. Nardino, I.R. Carvalho3, D.N. Follmann4, M. Ferrari3, V.J. Szareski5, A.J. de Pelegrin3 and V.Q. de Souza6
Methodologies using restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) in combination with sequential path analysis in maize are still limited in the literature. Therefore, the aims of this study were: i) to use REML/BLUP-based procedures in order to estimate variance components, genetic parameters, and .. Read More»
- Genet. Mol. Res. 16(1):
- gmr16019525
- DOI:
- 10.4238/gmr16019525
Multi-trait BLUP model indicates sorghum hybrids with genetic potential for agronomic and nutritional traits
Authors: J.E. Almeida Filho, F.D. Tardin, J.F.R. Guimar�£es, M.D.V. Resende, F.F. Silva, M.L. Simeone, C.B. Menezes and V.A.V. Queiroz
The breeding of sorghum, Sorghum bicolor (L.) Moench, aimed at improving its nutritional quality, is of great interest, since it can be used as a highly nutritive alternative food source and can possibly be cultivated in regions with low rainfall. The objective of the present study was to evaluate the potential and genetic diversity of grain-sorghum hybri.. Read More»
- Genet. Mol. Res. 15(1):
- gmr.15017071
- DOI:
- 10.4238/gmr.15017071
Selection index using the graphical area applied to sugarcane breeding
Authors: 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 cons.. Read More»
- Genet. Mol. Res. 15(3):
- gmr.15038711
- DOI:
- 10.4238/gmr.15038711