Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Archivio istituziona...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Mapping traits of agronomic interest in kiwifruit and development of markers for Markers assisted selection (MAS)

Authors: PINTO, CATALINA;

Mapping traits of agronomic interest in kiwifruit and development of markers for Markers assisted selection (MAS)

Abstract

In kiwifruit, dioecy and intraspecific polyploidy are great challenges in breeding and cultivar improvement. Marker-assisted selection (MAS) can enhance the selection efficiency and precision in kiwifruit breeding. The prerequisite to MAS is the construction of a high-density linkage map allowing linkage association between marker loci and quantitative trait loci (QTLs) of particular traits or genes of interest. Consequently, the production of dense maps in kiwifruit and mapping of traits, in particular, gender determinant and fruit quality traits was the aim of this thesis. Thus, a mapping population was generated from a cross between ‘C8’ (female) and ‘A54.19’ (male), both diploid kiwifruit (A. chinensis), genetically and geographically unrelated. The work of thesis is composed of five chapters. In the first chapter, a literature review that supports the main aspects in kiwifruit breeding is presented. In the second chapter, we report the construction of genetic maps by merging ddRAD SNPs and SSRs markers. Results showed that even in the presence of a reference genome (Huang et al. 2013), our genetic maps help to improve the genome assembly. Furthermore, the saturated maps help to restrict the chromosomal region where genes are located and to find genetic loci that control Mendelian traits like the gender. Thus, we have isolated four SSR markers by screening the contigs of sex-determining region. These markers were able to discriminate between male and female progeny, but they cannot be used to screen germplasm collection where the parentage of accessions is not known in advance. In the third chapter, quantitative trait loci (QTLs) analysis traits related to fruit quality were carried out using fruit from mapping population. Many QTLs had large effects in terms of explained variance, however, they showed poor stability probably due to the limited size of the progeny. In the fourth chapter, estimation of genetic variance and selection of superior male parents for their capability of transferring traits of interest to progeny were performed using best linear unbiased prediction (BLUP) and REML in a controlled mating design, involving 35 small cross families. This analysis include the estimation of genetic component of variance, heritability, the combining ability of cross parents and breeding value for several vegetative and fruit quality traits in kiwifruit. In the last chapter, we describe the sequencing of male parent of our mapping population and the future steps towards the exploration of the sex-determining region

Country
Italy
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green