A segregation population of 184 genotypes derived from a pseudo-testcross of table grapes (Vitis vinifera), together with 203 AFLP and 110 SSR markers was used to detect quantitative trait loci (QTLs) for fruit yield components. Diffferent QTLs, a low percentage of phenotypic variance explained by the QTLs detected and QTL instability over years were detected for each fruit yield component. These results confirm the complex genetic architecture of the yield components in grapevine due to the perennial nature of this species, which has to adapt to yearly variations in climate. Phenotypic correlation analyses between fruit yield components were also performed. The negative correlation between berry weight and the number of berries per cluster seems to have an indirect negative effect on cluster weight, as revealed by the path coefficient analysis; however, this negative correlation was not supported at the molecular level because no coincident QTLs were observed between these traits. Nonetheless, the possibility to select seedless genotypes with large berries without affecting cluster weight needs to be substantiated in future experiments because factors such as sample size and heritability might influence QTL identification in table grapes.

QTL analysis for fruit yield components in table grapes (Vitis vinifera) / Fanizza, G.; Lamaj, F.; Costantini, L.; Chaabane, R.; Grando, Maria Stella. - In: THEORETICAL AND APPLIED GENETICS. - ISSN 0040-5752. - 111:(2005), pp. 658-664. [10.1007/s00122-005-2016-6]

QTL analysis for fruit yield components in table grapes (Vitis vinifera)

Grando, Maria Stella
2005-01-01

Abstract

A segregation population of 184 genotypes derived from a pseudo-testcross of table grapes (Vitis vinifera), together with 203 AFLP and 110 SSR markers was used to detect quantitative trait loci (QTLs) for fruit yield components. Diffferent QTLs, a low percentage of phenotypic variance explained by the QTLs detected and QTL instability over years were detected for each fruit yield component. These results confirm the complex genetic architecture of the yield components in grapevine due to the perennial nature of this species, which has to adapt to yearly variations in climate. Phenotypic correlation analyses between fruit yield components were also performed. The negative correlation between berry weight and the number of berries per cluster seems to have an indirect negative effect on cluster weight, as revealed by the path coefficient analysis; however, this negative correlation was not supported at the molecular level because no coincident QTLs were observed between these traits. Nonetheless, the possibility to select seedless genotypes with large berries without affecting cluster weight needs to be substantiated in future experiments because factors such as sample size and heritability might influence QTL identification in table grapes.
2005
Fanizza, G.; Lamaj, F.; Costantini, L.; Chaabane, R.; Grando, Maria Stella
QTL analysis for fruit yield components in table grapes (Vitis vinifera) / Fanizza, G.; Lamaj, F.; Costantini, L.; Chaabane, R.; Grando, Maria Stella. - In: THEORETICAL AND APPLIED GENETICS. - ISSN 0040-5752. - 111:(2005), pp. 658-664. [10.1007/s00122-005-2016-6]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/195945
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