Genotype X Environment Interaction
Selection of common bean (Phaseolus vulgaris L.) genotypes using a genotype plus genotype x environment interaction biplot
Authors: A.M. CorrĂ?ÂȘa, P.E. Teodoro, M.C. GonĂ?§alves, A. Santos and F.E. Torres
Recently, the genotype plus genotype x environment interaction (GGE) biplot methodology has been used to investigate genotype x environment interactions in several crop species, but has not been applied to the common bean (Phaseolus vulgaris L.) crop in Brazil. The aim of this study was to identify common bean genotypes that exhibit high grain yield and s.. Read More»
- Genet. Mol. Res. 15(3):
- gmr.15038427
- DOI:
- 10.4238/gmr.15038427
Genetic potential of black bean genotypes with predictable behaviors in multienvironment trials
Authors: P.P. Torga, P.G.S. Melo, H.S. Pereira, L.C. Faria and L.C. Melo
The aim of this study was to evaluate the phenotypic stability and specific and broad adaptability of common black bean genotypes for the Central and Center-South regions of Brazil by using the Annicchiarico and AMMI (weighted average of absolute scores: WAAS, and weighted average of absolute scores and productivity: WAASP) me.. Read More»
- Genet. Mol. Res. 15(4):
- gmr15049029
- DOI:
- 10.4238/gmr15049029
Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability
Authors: L.M.A. Barroso, P.E. Teodoro, M. Nascimento, F.E. Torres, A.C.C. Nascimento, C.F. Azevedo and F.R.F. Teixeira
Cowpea (Vigna unguiculata) is grown in three Brazilian regions: the Midwest, North, and Northeast, and is consumed by people on low incomes. It is important to investigate the genotype x environment (GE) interaction to provide accurate recommendations for farmers. The aim of this study was to identify cowpea genotypes with hig.. Read More»
- Genet. Mol. Res. 15(4):
- gmr15049049
- DOI:
- 10.4238/gmr15049049
Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability
Authors: F.J.C. Farias, L.P. Carvalho, J.L. Silva Filho and P.E. Teodoro
The harmonic mean of the relative performance of genotypic predicted value (HMRPGV) method has been used to measure the genotypic stability and adaptability of various crops. However, its use in cotton is still restricted. This study aimed to use mixed models to select cotton genotypes that simultaneously result in longer fiber length, higher fiber yield,.. Read More»
- Genet. Mol. Res. 15(3):
- gmr.15038439
- DOI:
- 10.4238/gmr.15038439
Biplot analysis of strawberry genotypes recommended for the State of EspĂ?Ârito Santo
Authors: 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, an.. Read More»
- Genet. Mol. Res. 15(3):
- gmr.15038919
- DOI:
- 10.4238/gmr.15038919
Adaptability and stability analysis of the juice yield of yellow passion fruit varieties
Authors: E.J. Oliveira, J.P.X. Freitas and O.N. Jesus
This study analyzed the genotype x environment interaction (GE) for the juice productivity (JuProd) of 12 yellow passion fruit varieties (Passiflora edulis Sims. f. flavicarpa Deg.) using additive main effects and multiplicative interaction (AMMI) model and auxiliary parameters. The experiments were conducted.. Read More»
- Genet. Mol. Res. 13(3):
- 2014.August.26.2
- DOI:
- 10.4238/2014.August.26.2
Genetic variability for iron and zinc content in common bean lines and interaction with water availability
Authors: H.S. Pereira, M.J. Del Peloso, P.Z. Bassinello, C.M. GuimarĂ?ÂŁes, L.C. Melo and L.C. Faria
The common bean is an important source of iron and zinc in humans. Increases in the contents of these minerals can combat mineral deficiencies, but these contents are influenced by environmental conditions. Thus, the objectives of this study were to investigate the interaction between common bean lines and water availability o.. Read More»
- Genet. Mol. Res. 13(3):
- 2014.August.28.21
- DOI:
- 10.4238/2014.August.28.21
Adaptability and phenotypic stability of common bean genotypes through Bayesian inference
Authors: A.M. CorrĂ?ÂȘa, P.E. Teodoro, M.C. GonĂ?§alves, L.M.A. Barroso,M. Nascimento, A. Santos and F.E. Torres
This study used Bayesian inference to investigate the genotype x environment interaction in common bean grown in Mato Grosso do Sul State, and it also evaluated the efficiency of using informative and minimally informative a priori distributions. Six trials were conducted in randomized blocks, and the grain yield of 13 common .. Read More»
- Genet. Mol. Res. 15(2):
- gmr.15028260
- DOI:
- 10.4238/gmr.15028260
Artificial intelligence in the selection of common bean genotypes with high phenotypic stability
Authors: A.M. CorrĂ?ÂȘa, P.E. Teodoro, M.C. GonĂ?§alves, L.M.A. Barroso,M. Nascimento, A. Santos and F.E. Torres
Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean genotypes with high phenotypic adaptability and stability, and to verify their .. Read More»
- Genet. Mol. Res. 15(2):
- gmr.15028230
- DOI:
- 10.4238/gmr.15028230
Adaptability and stability of soybean genotypes in off-season cultivation
Authors: R.O. Batista, R.L. Hamawaki, L.B. Sousa, A.P.O. Nogueira and O.T. Hamawaki
The oil and protein contents of soybean grains are important quantitative traits for use in breeding. However, few breeding programs perform selection based on these traits in different environments. This study assessed the adaptability and stability of 14 elite early soybean breeding lines in off-season cultivation with respect to yield, and oil and prot.. Read More»
- Genet. Mol. Res. 14(3):
- 2015.August.14.26
- DOI:
- 10.4238/2015.August.14.26