Source-dependent blooming variability of Eucalyptus cladocalyx in the Region of Coquimbo, Chile.

Mora, Freddy; Perret, Sandra; Scapim, Carlos Alberto

doi:10.7764/rcia.v34i2.391

Cited by 10 publications

(17 citation statements)

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“…Wirrabara and Flinders Chase had the best height growth, and Wirrabara the best diameter growth as well. This variability is consistent with that reported by Mora et al (2007) ) (McDonald et al 2003, Brooker andKleinig 1999). In addition, high inbreeding levels have a strong effect on the population genetic structure, since inbreeding can reduce genetic variation and gene flow, increasing the interpopulational differentiation (Hartl 2000, McDonald et al 2003.…”

Section: Resultssupporting

confidence: 82%

Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile

Vargas-Reeve¹,

Mora²,

Perret³

et al. 2013

Crop Breed. Appl. Biotechnol.

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Section: Resultssupporting

confidence: 82%

Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile

Vargas-Reeve¹,

Mora²,

Perret³

et al. 2013

Crop Breed. Appl. Biotechnol.

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“…For example, binary data are often found when the aim is to improve traits such as disease status (Setiawan et al, 2000;Park et al, 2001), mortality or survival (Mora et al, 2008d), flowering (Missiaggia et al, 2005;Mora et al, 2007;Mora et al, 2009), among other traits. Yang et al (2009) stated that deviations from this assumption may affect the accuracy of QTL detection and lead to detection of spurious QTLs.…”

Section: Resultsmentioning

confidence: 99%

“…The methods of simple regression, maximum likelihood and those based on Monte Carlo Markov Chains have been frequently used to detect QTLs, which are focused mainly on a continuous distribution (Normal or Gaussian) of the trait of interest (Thomson, 2003). However, several studies related to plant breeding have shown that several traits of economic and scientific interest have non-Gaussian distribution (Spyrides-Cunha et al, 2000;Ribeiro et al, 2005;Mora et al, 2007;Mora et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…The current study has been motivated by the existence of traits of interest with other than Gaussian distributions (Mora et al, 2007;Mora et al, 2008b;Rodovalho et al, 2008;Mora et al, 2008d). Therefore, this study aimed to map a quantitative trait locus by using a generalized linear regression modeling approach where the agronomical trait is non-normally distributed.…”

Section: Introductionmentioning

confidence: 99%

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Generalized composite interval mapping offers improved efficiency in the analysis of loci influencing non-normal continuous traits

Mora¹,

Scapim

Baharum

et al. 2010

Cienc. Inv. Agr.

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In genetic studies, most Quantitative Trait Loci (QTL) mapping methods presuppose that the continuous trait of interest follows a normal (Gaussian) distribution. However, many economically important traits of agricultural crops have a non-normal distribution. Composite interval mapping (CIM) has been successfully applied to the detection of QTL in animal and plant breeding. In this study we report a generalized CIM (GCIM) method that permits QTL analysis of non-normally distributed variables. GCIM was based on the classic Generalized Linear Model method. We applied the GCIM method to a F 2 population with co-dominant molecular markers and the existence of a QTL controlling a trait with Gamma distribution. Computer simulations indicated that the GCIM method has superior performance in its ability to map QTL, compared with CIM. QTL position differed by 5 cM and was located at different marker intervals. The Likelihood Ratio Test values ranged from 52 (GCIM) to 76 (CIM). Thus, wrongly assuming CIM may overestimate the effect of the QTL by about 47%. The usage of GCIM methodology can offer improved efficiency in the analysis of QTLs controlling continuous traits of non-Gaussian distribution.

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“…In arid environments, this species has shown adequate growth (Gleadow et al, 1998;Mora, 2006) and a relative resistance to Phoracantha semipunctata, an insect introduced to Chile that affects Eucalyptus plantations (Hanks et al, 1994;Jorquera, 1998;Mora et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Combining genetic gain and diversity under an individual selection method in a selected provenance of Eucalyptus cladocalyx

Mora

Saavedra

2012

Cienc. Inv. Agr.

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A Bayesian threshold tree model via Gibbs sampling was used in the data analyses. The model included the genotype-environment interaction (two sites) using a bi-character threshold model. The posterior mean of the genetic correlation between the sites was positive and high (r=0.8) and, according to the 95% credible interval (0.44-0.96), it was significantly different from zero, indicating a non-significant interaction. The intensity of selection should be close to 11% to balance the gain and diversity after the individual tree selection in this breeding population.

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Source-dependent blooming variability of Eucalyptus cladocalyx in the Region of Coquimbo, Chile.

Cited by 10 publications

References 0 publications

Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile

Heritability of stem straightness and genetic correlations in Eucalyptus cladocalyx in the semi-arid region of Chile

Generalized composite interval mapping offers improved efficiency in the analysis of loci influencing non-normal continuous traits

Combining genetic gain and diversity under an individual selection method in a selected provenance of Eucalyptus cladocalyx

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