2013
DOI: 10.1007/s00122-013-2170-1
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Candidate loci for phenology and fruitfulness contributing to the phenotypic variability observed in grapevine

Abstract: Key messageIn this study, we identified several genes, which potentially contribute to phenological variation in the grapevine. This may help to maintain consistent yield and suitability of particular varieties in future climatic conditions.AbstractThe timing of major developmental events in fruit crops differs with cultivar, weather conditions and ecological site. This plasticity results also in diverse levels of fruitfulness. Identifying the genetic factors responsible for phenology and fertility variation m… Show more

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Cited by 35 publications
(38 citation statements)
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“…This work can identify genes that strongly influence phenology (Grzeskowiak et al . ) and reveal how phenology has evolved during the history of domestication (Fig. ).…”
Section: Disentangling Genetic Vs Climatic Factors To Inform Phenolomentioning
confidence: 99%
“…This work can identify genes that strongly influence phenology (Grzeskowiak et al . ) and reveal how phenology has evolved during the history of domestication (Fig. ).…”
Section: Disentangling Genetic Vs Climatic Factors To Inform Phenolomentioning
confidence: 99%
“…The availability of the grapevine genome sequence combined with the advent of cheaper and high throughput single nucleotide polymorphism (SNP) genotyping strategies (Gupta et al 2008;Davey et al 2011) were expected to shift the tools of genetic studies in grapevine. However, microsatellites are still the predominant markers contributing to the current knowledge of genetic determinism of the major grapevine traits (Mejía et al 2011;Huang et al 2012;Duchêne et al 2012;Karaagac et al 2012;Doligez et al 2013;Battilana et al 2013;Grzeskowiak et al 2013;Ban et al 2014;Correa et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Several lines of evidence support the notion that the expression level impacts the plasticity of the phenotype (Dal Santo et al, 2013;Grzeskowiak et al, 2013). Pickrell et al (2010) argued that these low-expression transcripts are just by-products of splicing errors.…”
Section: Discussionmentioning
confidence: 91%