Almond

Alonso, J.M.; Kodad, Ossama; Gradziel, Thomas M.

doi:10.1007/978-1-4419-0763-9_18

Cited by 15 publications

(4 citation statements)

References 113 publications

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“…“Marcona” is a highly reputed cultivar used mainly in the Spanish almond industry . “Francolí” and “Vairo” are both new releases from the IRTA’s almond breeding program. − DNA from other Prunus species (peach P . persica, cherry P. avium, sand-cherry P. besseyi, bird-cherry P. padus, flowering almond P. triloba ), other Rosaceae species as Malus floribunda and other common food plant species used as food ingredients (hazelnut, walnut, peanut, rice, wheat, barley, and rye) were employed in specificity analysis.…”

Section: Methodsmentioning

confidence: 99%

Detection of Almond Allergen Coding Sequences in Processed Foods by Real Time PCR

Prieto

Iniesto

Burbano³

et al. 2014

J. Agric. Food Chem.

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The aim of this work was to develop and analytically validate a quantitative RT-PCR method, using novel primer sets designed on Pru du 1, Pru du 3, Pru du 4, and Pru du 6 allergen-coding sequences, and contrast the sensitivity and specificity of these probes. The temperature and/or pressure processing influence on the ability to detect these almond allergen targets was also analyzed. All primers allowed a specific and accurate amplification of these sequences. The specificity was assessed by amplifying DNA from almond, different Prunus species and other common plant food ingredients. The detection limit was 1 ppm in unprocessed almond kernels. The method's robustness and sensitivity were confirmed using spiked samples. Thermal treatment under pressure (autoclave) reduced yield and amplificability of almond DNA; however, high-hydrostatic pressure treatments did not produced such effects. Compared with ELISA assay outcomes, this RT-PCR showed higher sensitivity to detect almond traces in commercial foodstuffs.

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Section: Methodsmentioning

confidence: 99%

Detection of Almond Allergen Coding Sequences in Processed Foods by Real Time PCR

Prieto

Iniesto

Burbano³

et al. 2014

J. Agric. Food Chem.

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“…Until recently almond breeding has focused on selecting self-compatible and late-blooming cultivars with fruits of a high physical quality [ 16 ]. Consequently, very little information on chemical evaluation of the almond kernel has been found and the studies carried out to determine the chemical components of the almond kernel and their variability are scarce [ 13 , 17 - 19 ].…”

Section: Introductionmentioning

confidence: 99%

Mapping quantitative trait loci for kernel composition in almond

2012

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BackgroundAlmond breeding is increasingly taking into account kernel quality as a breeding objective. Information on the parameters to be considered in evaluating almond quality, such as protein and oil content, as well as oleic acid and tocopherol concentration, has been recently compiled. The genetic control of these traits has not yet been studied in almond, although this information would improve the efficiency of almond breeding programs.ResultsA map with 56 simple sequence repeat or microsatellite (SSR) markers was constructed for an almond population showing a wide range of variability for the chemical components of the almond kernel. A total of 12 putative quantitative trait loci (QTL) controlling these chemical traits have been detected in this analysis, corresponding to seven genomic regions of the eight almond linkage groups (LG). Some QTL were clustered in the same region or shared the same molecular markers, according to the correlations already found between the chemical traits. The logarithm of the odds (LOD) values for any given trait ranged from 2.12 to 4.87, explaining from 11.0 to 33.1 % of the phenotypic variance of the trait.ConclusionsThe results produced in the study offer the opportunity to include the new genetic information in almond breeding programs. Increases in the positive traits of kernel quality may be looked for simultaneously whenever they are genetically independent, even if they are negatively correlated. We have provided the first genetic framework for the chemical components of the almond kernel, with twelve QTL in agreement with the large number of genes controlling their metabolism.

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“…The lowest CVs belonged to nut thickness (11.12%), sepal shape (14.43%), nut width (14.43%), current branch leaf apex shape (14.76%), and kernel width (15.57%), while suture opening of the shell showed the highest CV (685%), followed by the marking of the outer shell (171.28%), fruit stigma retention (161.07%), kernel shriveling (136.80%), shell surface pubescent (136.38%), shell ornamentation (133.33%), shell ornamentation present (130.27%), shell back line shape (117.34%), peduncle color (110.96%), and shell short furrows starting from the base (106.38%) (Table 2 ). Variation in the species and cross-pollination that lead to heterozygosity and increased genetic diversity in almonds during development and evolution can increase the CV value of different traits among accessions 18 .…”

Section: Resultsmentioning

confidence: 99%

Morphological characterization of wild Prunus scoparia Spach accessions in 11 provinces of Iran

Khadivi,

Mirheidari,

Moradi

2023

Sci Rep

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Prunus scoparia (Spach) C. K. Schneid is among the most prevalent species which has the potential of being used as a dwarf rootstock for the cultivated almond. In the present study, the phenotypic variation of 521 wild accessions of this species naturally grown in 29 areas of 11 provinces in Iran was assessed. The accessions investigated showed significant differences based on the measured traits. The majority of the characters measured (90 out of 100) exhibited a coefficient of variation of higher than 20.00%, indicating considerable variation among the accessions. The range of nut-related characters was as follows: nut length: 9.72–22.87 mm, nut width: 5.81–15.54 mm, nut thickness: 5.67–12 mm, and nut weight: 0.18–0.99 mm. The range of kernel-related characters was as follows: kernel length: 6.83–19.23 mm, kernel width: 4.28–10.32 mm, kernel thickness: 2.16–7.52 mm, and kernel weight: 0.03–0.37 g. Kernel weight exhibited positive and significant correlations with nut length (r = 0.57), nut width (r = 0.54), nut thickness (r = 0.42), nut weight (r = 0.69), kernel length (r = 0.75), kernel width (r = 0.78), and kernel thickness (r = 0.58). Cluster analysis based on Ward’s method showed two different major clusters among all the accessions. Based on the bi-plot created using principal component analysis of population analysis, the studied 29 natural habitats formed four groups. The studied accessions showed considerable variation in terms of the measured traits within and among populations. This variation is due to cross-pollination, cross-incompatibility, natural hybridization, propagation by seeds, gene flow, and exchange of plant material between the study areas. By using crosses between accessions of different regions, it is possible to increase the amount of variability in different traits of wild almonds.

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Almond

Cited by 15 publications

References 113 publications

Detection of Almond Allergen Coding Sequences in Processed Foods by Real Time PCR

Detection of Almond Allergen Coding Sequences in Processed Foods by Real Time PCR

Mapping quantitative trait loci for kernel composition in almond

Morphological characterization of wild Prunus scoparia Spach accessions in 11 provinces of Iran

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