Mapping QTLs controlling fruit quality in peach (Prunus persica (L.) Batsch)

Dirlewanger, Elisabeth; Moing, Annick; Rothan, Christophe; Svanella, Laurence; Pronier, V.; Guye, A.; Plomion, Christophe; Monet, R.

doi:10.1007/s001220051035

Cited by 224 publications

(217 citation statements)

References 32 publications

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“…Previous studies on apricot also reported a high variability among cultivars regarding this parameter (Badenes et al 1998;Ruiz & Egea 2008b;Hernandez et al 2010;Milošević et al 2010). In addition, FW is a major quantitative inherited factor determining the yield, fruit quality, and consumers' acceptability (Dirlewanger et al 1999). Therefore, the genotypes may be expected to produce larger fruits under better cultural practices (Balta et al 2002).…”

Section: Evaluation Of Physical Attributesmentioning

confidence: 94%

Evaluation of apricot fruit quality and correlations between physical and chemical attributes

Mratinić¹,

Popovski²,

Milošević³

et al. 2011

Czech J. Food Sci.

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Mratinić E., Popovski B., Milošević T., Popovska M. (2011): Evaluation of apricot fruit quality and correlations between physical and chemical attributes. Czech. J. Food Sci., 29: 161-170.The fruit of apricot (Prunus armeniaca L., Rosaceae) has been used as food in FYR Macedonia since a long time ago. The chemical organic matters from the fruit is a kind material for food processing and has potential nutritional, medical and commercial values. The results based on fruit physical and chemical analyses clearly showed that different apricot genotypes have very important contents of soluble solids, individual sugars, and titratable acidity in limited soil and climatic conditions. In addition, the contents of these chemical compounds in some genotypes were higher than those in the control cultivar Hungarian Best. Using the PC analysis (PC1 = 32.13%, PC2 = 22.86%, and PC3 = 18.32%), apricot genotypes were separated into groups with similar physical and chemical attributes. These relationships may help to select a set of genotypes with better fruit quality performances which, in our study, might be indicated in DL-1/1/04, DL-1/2/03, D-1/04 and K-5/04.

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Section: Evaluation Of Physical Attributesmentioning

confidence: 94%

Evaluation of apricot fruit quality and correlations between physical and chemical attributes

Mratinić¹,

Popovski²,

Milošević³

et al. 2011

Czech J. Food Sci.

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“…Earlygold map), QTLs were detected in the T Â E F 2 population on four linkage groups (LG), LG1, LG4, LG6 and LG7 (Joobeur, 1998). In peach, QTLs have been detected over four different populations on all LGs except LG8 (Dirlewanger et al, 1999;Verde et al, 2002;Quilot et al, 2004;Fan et al, 2010). In almond, the major gene Lb was first mapped on LG4 using the progeny from a cross between 'D-3-5' , a Lb/lb heterozygous genotype, and 'Bertina' (Ballester et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Comparison of the genetic determinism of two key phenological traits, flowering and maturity dates, in three Prunus species: peach, apricot and sweet cherry

et al. 2012

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The present study investigates the genetic determinism of flowering and maturity dates, two traits highly affected by global climate change. Flowering and maturity dates were evaluated on five progenies from three Prunus species, peach, apricot and sweet cherry, during 3-8 years. Quantitative trait locus (QTL) detection was performed separately for each year and also by integrating data from all years together. High heritability estimates were obtained for flowering and maturity dates. Several QTLs for flowering and maturity dates were highly stable, detected each year of evaluation, suggesting that they were not affected by climatic variations. For flowering date, major QTLs were detected on linkage groups (LG) 4 for apricot and sweet cherry and on LG6 for peach. QTLs were identified on LG2, LG3, LG4 and LG7 for the three species. For maturity date, a major QTL was detected on LG4 in the three species. Using the peach genome sequence data, candidate genes underlying the major QTLs on LG4 and LG6 were investigated and key genes were identified. Our results provide a basis for the identification of genes involved in flowering and maturity dates that could be used to develop cultivar ideotypes adapted to future climatic conditions. Heredity (2012) 109, 280-292; doi:10.1038/hdy.2012.38; published online 25 July 2012Keywords: Prunus; phenology; flowering date; maturity date; QTL analyses; candidate gene INTRODUCTIONIn the context of global climate change, flowering phenology of deciduous tree species is crucial as it may affect their productivity. In fruit tree orchards, flowering phenology has an indirect influence on spring frost damage, pollination, dormancy and maturity. Even though in a warming scenario, the current risk of frost damage might remain a preoccupation for growers subsequently to advanced flowering time and more irregularities of temperature conditions. Moreover, new risks are emerging as disruptions in floral phenology synchronization, which may disturb pollination for varieties that necessitate cross pollination. In addition, marked changes in the order of flowering time within a varietal range or between adjacent cropping areas may modify the orders of fruit maturity time and consequently disturb commercial specificities.The Prunus genus, within the Rosaceae family, is characterized by species that produce drupes as fruit, and can be divided into three major subgenera: Amygdalus (peach (Prunus persica (L.) Batsch) and almond (Prunus dulcis Mill.)), Prunophora (apricot (Prunus armeniaca L.)), Cerasus (sweet cherry (Prunus avium L.) and sour cherry (Prunus cerasus L.)). All these species are grown in climates with well-differentiated seasons where they have adapted to survive to low winter temperatures and summer drought. In Prunus, as in most woody perennials, the physiology and biochemistry of the flowering

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“…Using information from available maps, a number of groups have investigated QTLs and genes that are responsible for fruit characteristics and stress resistance, but there is still no available information to identify QTLs in Prunus rootstocks. Dirlewanger et al (2006) compiled the information already published for all SSR markers as well as EST-SSRs and AFLPs; they constructed a new version of the map that this group had published in 1998 ('Ferjalou Jalousia' × 'Fantasia', or J×F map) (Dirlewanger et al, 1998) in which they had identified QTLs associated with fruit quality in peach (Dirlewanger et al, 1999). The number of F 2 progeny was increased to 207 individuals, which were segregated for five traits reported as Mendelian; they also found a new character which they called aborting fruit (Af).…”

Section: Identification Of Qtls and Genesmentioning

confidence: 99%

Breeding rootstocks for Prunus species: Advances in genetic and genomics of peach and cherry as a model

Guajardo¹,

Hinrichsen

Muñoz

2015

Chilean J. Agric. Res.

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Prunus rootstock is an important choice in optimizing productivity of grafted cultivars. Nevertheless, many Prunus rootstocks are notoriously intolerant to hypoxia which is caused by waterlogging and/or heavy soils. There is no available information to help select Prunus rootstocks that are tolerant to stress conditions such as root hypoxia caused by excess moisture. Information from genetic maps has demonstrated a high level of synteny among Prunus species, and this suggests that they all share a similar genomic structure. It should be possible to identify the genetic determinants involved in tolerance to hypoxia and other traits in Prunus rootstocks by applying methods to identify regions of the genome involved in the expression of important traits; these have been developed mainly in peach which is the model species for the genus. Molecular markers that are tightly linked to major genes would be useful in marker-assisted selection (MAS) to optimize new rootstock selection. This article provides insight on the advances in the development of molecular markers, genetic maps, and gene identification in Prunus, mainly in peach; the aim is to provide a general approach for identifying the genetic determinants of hypoxia stress in rootstocks.

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Mapping QTLs controlling fruit quality in peach (Prunus persica (L.) Batsch)

Cited by 224 publications

References 32 publications

Evaluation of apricot fruit quality and correlations between physical and chemical attributes

Evaluation of apricot fruit quality and correlations between physical and chemical attributes

Comparison of the genetic determinism of two key phenological traits, flowering and maturity dates, in three Prunus species: peach, apricot and sweet cherry

Breeding rootstocks for Prunus species: Advances in genetic and genomics of peach and cherry as a model

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