2001
DOI: 10.1007/s001220100641
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A method for combining molecular markers and phenotypic attributes for classifying plant genotypes

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Cited by 111 publications
(83 citation statements)
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“…This bias can be observed from the correlation between combined and molecular distances (0.65), compared to combined and morphological distances (0.05). Other studies have reported that such techniques employed individually produce results distinct from the combined analyses (Franco et al, 2001). This can be explained by the different properties of each analysis and the way each one assessed genome variability.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…This bias can be observed from the correlation between combined and molecular distances (0.65), compared to combined and morphological distances (0.05). Other studies have reported that such techniques employed individually produce results distinct from the combined analyses (Franco et al, 2001). This can be explained by the different properties of each analysis and the way each one assessed genome variability.…”
Section: Resultsmentioning
confidence: 99%
“…Some studies on wheat have reported the association between hybrid performance and morphological (Cruz et al, 2004), molecular (Roy et al, 2004), combined morphological and molecular (Franco et al, 2001;Vieira et al, 2007), and pedigree-based distances (Almanza-Pinzón et al, 2003). Such tools are important auxiliary techniques for the selection of the best parental combinations and for a more rational use of germplasm.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, there are almost very few analyses combining data sets of different nature, i.e. qualitative and quantitative morphological data, or morphological and molecular marker data (Franco et al, 1997;Franco et al, 1998;Franco et al, 2001). Such kind of analyses could provide evidence whether a better estimate of the genetic diversity is obtainable and also whether the total evidence is within the confidence limits of evidence from the individual data sets.…”
Section: Introductionmentioning
confidence: 99%
“…Studies focussing on agronomic traits, qualitative traits, reproductive traits and genetic variability are of utmost significance for a thorough investigation of extent of phenetic diversity in germplasm and for utilizing the genetic information for crossing and breeding programmes (Franco et al, 2001;Montes and Melchinger, 2016). For successful crop enhancement and commercial exploitation of the biofuel plant, J. curcas improvement programs should aim at agronomic traits like low male to female flower ratio, high seed yield and oil content, abiotic and biotic stress resistance, and high natural ramification of branches with greater canopy spread.…”
Section: Introductionmentioning
confidence: 99%