L.P. Carvalho
Diallel analysis for agronomic traits in upland cotton in semi-arid zones in Brazil
This study aimed to estimate the general- (GCA) and specific-combining ability (SCA) and obtain information on the genetic control of agronomic traits among six upland cotton genotypes and their hybrid combinations. In 2015, six cotton genotypes (FM 993, CNPA 04-2080, PSC 355, TAM B 139-17, IAC 26, and TAMCOT-CAMD-E), and fifteen hybrid combinations were evaluated a.. Read More»
Genet. Mol. Res. 16(3): gmr16039677
DOI: 10.4238/gmr16039677
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
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
Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability
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, and phenotypic stability in both of the.. Read More»
Genet. Mol. Res. 15(3): gmr.15038439
DOI: 10.4238/gmr.15038439
Correlations and path analysis among agronomic and technological traits of upland cotton
To date, path analysis has been used with the aim of breeding different cultures. However, for cotton, there have been few studies using this analysis, and all of these have used fiber productivity as the primary dependent variable. Therefore, the aim of the present study was to identify agronomic and technological properties that can be used as criteria for direct and indirect phenotypes in se.. Read More»
Genet. Mol. Res. 15(3): gmr.15038239
DOI: 10.4238/gmr.15038239
Diallel analysis for technological traits in upland cotton
Final cotton quality is of great importance, and it depends on intrinsic and extrinsic fiber characteristics. The objective of this study was to estimate general (GCA) and specific (SCA) combining abilities for technological fiber traits among six upland cotton genotypes and their fifteen hybrid combinations, as well as to determine the effective genetic effects in .. Read More»
Genet. Mol. Res. 16(3): gmr16039727
DOI: 10.4238/gmr16039727
Genetic diversity among cotton cultivars in two environments in the State of Mato Grosso
Using commercial cultivars to compose crossing blocks in cotton is a promising strategy, because these materials have desirable agronomic and technological characteristics. The objective of this study was to evaluate the genetic diversity among 16 cotton cultivars cultivated in two environments in the State of Mato Grosso, the largest national producer, using agrono.. Read More»
Genet. Mol. Res. 16(2): gmr16029628
DOI: 10.4238/gmr16029628
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
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