45 research outputs found
Estabilidade e adaptabilidade do algodoeiro herbáceo no Cerrado do Mato Grosso e Mato Grosso do Sul
Condições de armazenamento e tempo de embebição na germinação de sementes de erva-doce (Pimpinella anisum L.)
Effects of tillage systems on physical properties of a cohesive yellow argisol in the northern state of Espírito Santo, Brazil
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 + genotype x environment interaction).
The AMMI method combines the analysis of variance and principal
components, to adjust the main effects (genotypes and environments)
and the effects of GE interaction, respectively. The GGE biplot groups
the genotype additive effect together with the multiplicative effect of the
GE interaction, and submits both of these to the principal components
analysis. The aim of this study was to investigate the association between
the AMMI and GGE biplot methods and select cotton genotypes that
simultaneously showed high productivity of seed cotton and stability in
Mato Grosso environments. Trials were conducted with cotton cultivars in
eight environments across Mato Grosso State in the 2008/2009 crop season.
The experiment used a randomized block design with 16 genotypes and
four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods.
Both methods were concordant in the discrimination of environments
and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and
LD 05 CV had high seed cotton productivity and phenotypic stability,
and could be grown in all environments across Mato Grosso State
Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability
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 these traits. Eight trials with 16 cotton genotypes were conducted in the 2008/2009 harvest in Mato Grosso State. The experimental design was randomized complete blocks with four replicates of each of the 16 genotypes. In each trial, we evaluated fiber yield and fiber length. The genetic parameters were estimated using the restricted maximum likelihood/best linear unbiased predictor method. Joint selection considering, simultaneously, fiber length, fiber yield, stability, and adaptability is possible with the HMRPGV method. Our results suggested that genotypes CNPA MT 04 2080 and BRS CEDRO may be grown in environments similar to those tested here and may be predicted to result in greater fiber length, fiber yield, adaptability, and phenotypic stability. These genotypes may constitute a promising population base in breeding programs aimed at increasing these trait values