P.E. Teodoro
Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models
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. Therefore, the goal of this study was t.. Read More»
Genet. Mol. Res. 16(3): gmr16039726
DOI: 10.4238/gmr16039726
Genetic diversity between and within half-sib families of Brazil nut tree (Bertholletia excelsa Bonpl.) originating from native forest of the Brazilian Amazon
Brazil nut tree is a species of economic importance for the Amazon region, known for the commercialization of its almonds. The objective of this work was to study the genetic diversity among half-sib progenies from different Brazil nut trees present in native forest in the municipality of Itaúba, MT, belonging to the Brazilian Amazon. In a native forest area .. Read More»
Genet. Mol. Res. 16(4): gmr16039839
DOI: 10.4238/gmr16039839
Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso
Seed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genoty.. Read More»
Genet. Mol. Res. 15(2): gmr.15028009
DOI: 10.4238/gmr.15028009
Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypes
The aim of this study was to evaluate the suitability of statistics as experimental precision degree measures for trials with cowpea (Vigna unguiculata L. Walp.) genotypes. Cowpea genotype yields were evaluated in 29 trials conducted in Brazil between 2005 and 2012. The genotypes were evaluated with a randomized block design with four replications. Ten statistics th.. Read More»
Genet. Mol. Res. 15(2): gmr.15027991
DOI: 10.4238/gmr.15027991
Assessment of genetic divergence among coffee genotypes by Ward-MLM procedure in association with mixed models
Mixed linear models have been used for the analysis of the genetic diversity and provided further accurate results in crops such as eucalyptus, castor, and sugarcane. However, to date, research that combined this analysis with Ward-MLM procedure has not been reported. Therefore, the aim of the present study was to identify divergent coffee genotypes by Ward-MLM proc.. Read More»
Genet. Mol. Res. 15(2): gmr.15027889
DOI: 10.4238/gmr.15027889
Genetic divergence in the common bean (Phaseolus vulgaris L.) in the Cerrado-Pantanal ecotone
Evaluating genetic diversity among genotypes is important for providing parameters for the identification of superior genotypes, because the choice of parents that form segregating populations is crucial. Our objectives were to i) evaluate agronomic performance; ii) compare clustering methods; iii) ascertain the relative contributions of the variables evaluated; and.. Read More»
Genet. Mol. Res. 16(1): gmr16019570
DOI: 10.4238/gmr16019570
Artificial intelligence in the selection of common bean genotypes with high phenotypic stability
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 consistency with the Eberhart and Russel.. Read More»
Genet. Mol. Res. 15(2): gmr.15028230
DOI: 10.4238/gmr.15028230
Adaptability and phenotypic stability of common bean genotypes through Bayesian inference
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 bean genotypes was assessed. To represen.. Read More»
Genet. Mol. Res. 15(2): gmr.15028260
DOI: 10.4238/gmr.15028260
Biplot analysis of strawberry genotypes recommended for the State of EspÃ?Ârito Santo
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
Number of repetitions for evaluating technological traits in cotton genotypes
With the changes in spinning technology, technological cotton traits, such as fiber length, fiber uniformity, fiber strength, fineness, fiber maturity, percentage of fibers, and short fiber index, are of great importance for selecting cotton genotypes. However, for accurate discrimination of genotypes, it is important that these traits are evaluated with the best possible accuracy. The aim of t.. Read More»
Genet. Mol. Res. 15(3): gmr.15038557
DOI: 10.4238/gmr.15038557
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