Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability

Farias, F. J. C.; Carvalho, Luiz Paulo de; Filho, João Luis Silva; Teodoro, Paulo Eduardo

doi:10.4238/gmr.15038439

Cited by 9 publications

(13 citation statements)

References 15 publications

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“…Obtaining reliable estimates of genetic parameters and simultaneous selection for stability, adaptability, and genotypic traits for recommendation of genotypes can provide innovative and useful results to a breeding program. In cotton breeding, the main objective is to select cultivars that provide high fiber yield and longer fiber length (FARIAS et al, 2016). Consequently, the focus of studies of upland cotton breeding programs is to search for cultivars with high adaptability and stability in these traits.…”

Section: Introductionmentioning

confidence: 99%

Models for optimizing selection based on adaptability and stability of cotton genotypes

et al. 2021

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In multi-environment trials (MET), large networks are assessed for results improvement. However, genotype by environment interaction plays an important role in the selection of the most adaptable and stable genotypes in MET framework. In this study, we tested different residual variances and measure the selection gain of cotton genotypes accounting for adaptability and stability, simultaneously. Twelve genotypes of cotton were bred in 10 environments, and fiber length (FL), fiber strength (FS), micronaire (MIC), and fiber yield (FY) were determined. Model selection for different residual variance structures (homogeneous and heterogeneous) was tested using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The variance components were estimated through restricted maximum likelihood and genotypic values were predicted through best linear unbiased prediction. The harmonic mean of relative performance of genetic values (HMRPGV) were applied for simultaneous selection for adaptability, stability, and yield. According to BIC heterogeneous residual variance was the best model fit for FY, whereas homogeneous residual variance was the best model fit for FL, FS, and MIC traits. The selective accuracy was high, indicating reliability of the prediction. The HMRPGV was capable to select for stability, adaptability and yield simultaneously, with remarkable selection gain for each trait.

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Section: Introductionmentioning

confidence: 99%

Models for optimizing selection based on adaptability and stability of cotton genotypes

et al. 2021

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“…Thus, adaptability and phenotypic stability analysis are necessary, by which it is possible to identify genotypes with predictable behavior on the length of fibers, and which are responsive to environmental variations, in specific or broad conditions (Farias et al 2016b). Therefore, selection methods that incorporate stability and adaptability in a single statistics can be considered superior, when compared with those which use only yield as selection criteria (Resende 2007).…”

Section: Introductionmentioning

confidence: 99%

Selection of cotton genotypes for greater length of fibers

Carvalho

Farias

Morello

et al. 2016

Crop Breed. Appl. Biotechnol.

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Abstract:In cotton breeding programs, it is necessary to identify genotypes with predictable behavior on the length of fibers, and which are responsive to environmental variations, in specific or broad conditions. The aim of this study was to employ the methodology of mixed models for simultaneous selection of cotton genotypes with greater length of fibers, adaptability and stability. It was evaluated 36 lines in three trials located in Apodi (2013and 2014) and Santa Helena (2013 CNPA 2012-55, CNPA 2012-58, CNPA 2012-62 and CNPA 2012 can be grown in all tested environments, since they gather greater length of fibers, stability and adaptability. in a randomized block design with two replications. Genetic parameters were estimated by the restricted maximum likelihood/best linear unbiased predictor method (REML/BLUP) and the selection was based on the method of harmonic mean of the relative performance of genetic values. The genotypes

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“…Figure 1 shows the reaction norm for the three superior families according to the average of GV over crop season and HMRPGV method. Reaction norm represents the genotypic performance of a specific genotype in function of the environmental gradient (Falconer and Mackay, 1996). The outcomes obtained by reaction norm for the 4, 8, and 9 full-sib families were similar than Eberhart and Russell (1966), although the regression coefficients are estimated using the predicted GV for each crop season.…”

Section: Genotypic Adaptability and Stability Of Full-sib Familiesmentioning

confidence: 96%

“…This method has been applied for several species such as eucalyptus (Silva et al, 2013), cotton (Farias et al, 2016), rubber tree , and strawberry (Costa et al, 2015). However, few types of research have reported the use of this method in Jatropha breeding (Borges et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Selection of Jatropha full-sib families based on genotypic adaptability and stability via mixed models

Rodrigues¹,

Teodoro²,

Peixoto³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. The objectives of this study were to estimate the genetic parameters for Jatropha full-sib families and to select superior genotypes based on grain yield, adaptability, and stability simultaneously to be used for cloning and crossings. Grain yield was evaluated in thirteen full-sib families in a randomized block design for 5 years. The harmonic mean of the relative performance of genotypic values and reaction norm were performed to estimate the adaptability and stability, and sequentially the 30 superior individual plants were selected based on the predicted additive genotypic value for the last crop season. Families 4, 8, and 9 may be used to several regions of Brazil since they have high genotypic adaptability and stability. Individuals belonging to families 9, 8, 2, 1, 6, and 5 should be used for cloning or crossing to obtain the next-generation individuals, and consequently to continue the Jatropha breeding.

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Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability

Cited by 9 publications

References 15 publications

Models for optimizing selection based on adaptability and stability of cotton genotypes

Models for optimizing selection based on adaptability and stability of cotton genotypes

Selection of cotton genotypes for greater length of fibers

Selection of Jatropha full-sib families based on genotypic adaptability and stability via mixed models

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