Ripening Date and Fruit Traits in Apricot Progenies

Bassi, D.; Negri, P.

doi:10.17660/actahortic.1991.293.12

Cited by 8 publications

(6 citation statements)

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“…In addition to the importance of these results from the point of view of breeding, this is one of the few characters inherited in a discrete form that has been described in apricot. Byrne (1989) established the inheritance of five isozyme loci in a simple MendeUan manner, Kostina (1977) and Bassi and Negri (1991) gave two different discrete models for the inheritance of sweet kernels and Burgos and Ledbetter (1994) proposed a model for the inheritance of male sterility.…”

Section: Discussionmentioning

confidence: 99%

Inheritance of sexual incompatibility in apricot

et al. 1997

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The study was carried out with 3-to 6-year-old apricot progenies from the breeding programmes of ARS in Fresno, California, USA and of CEBAS in Murcia, Spain. Progenies from 19 different crosses were studied to determine the inheritance of the genetic incompatibility trait. The 19 crosses included those where both parents were self-compatible or both self-incompatible, and also those where a self-compatible parent and another self-incompatible were crossed. Segregating progenies were studied either by bagging a sufficiently high number of flowers in balloon stage and determining the percentage of fruit set several weeks later or by following pollen tube growth with fluorescence microscopy. Results indicated that a monofactorial system with a multiallelic series appears to control the trait. Alleles for self-compatibility would allow the pollen tubes to grow in any style and reach the ovules. Alleles for self-incompatibility would stop the pollen tube growth if the same allele is present in the pollen grain and in the pistil.

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Section: Discussionmentioning

confidence: 99%

Inheritance of sexual incompatibility in apricot

et al. 1997

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“…However, all of these studies were focused on mature kernels in the harvesting stage. In addition, different hypotheses regarding the inheritance of the bitter/sweet trait of apricot kernels have been proposed [ 38 , 39 ], but no definitive model has been demonstrated. In particular, the processes involved in the metabolism and accumulation of cyanogenic glycosides in apricot kernels have not been well defined [ 40 , 41 , 42 , 43 ].…”

Section: Introductionmentioning

confidence: 99%

Accumulation Pattern of Amygdalin and Prunasin and Its Correlation with Fruit and Kernel Agronomic Characteristics during Apricot (Prunus armeniaca L.) Kernel Development

Deng

Cui

Zhu

et al. 2021

Foods

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To reveal the accumulation pattern of cyanogenic glycosides (amygdalin and prunasin) in bitter apricot kernels to further understand the metabolic mechanisms underlying differential accumulation during kernel development and ripening and explore the association between cyanogenic glycoside accumulation and the physical, chemical and biochemical indexes of fruits and kernels during fruit and kernel development, dynamic changes in physical characteristics (weight, moisture content, linear dimensions, derived parameters) and chemical and biochemical parameters (oil, amygdalin and prunasin contents, β-glucosidase activity) of fruits and kernels from ten apricot (Prunus armeniaca L.) cultivars were systematically studied at 10 day intervals, from 20 days after flowering (DAF) until maturity. High variability in most of physical, chemical and biochemical parameters was found among the evaluated apricot cultivars and at different ripening stages. Kernel oil accumulation showed similar sigmoid patterns. Amygdalin and prunasin levels were undetectable in the sweet kernel cultivars throughout kernel development. During the early stages of apricot fruit development (before 50 DAF), the prunasin level in bitter kernels first increased, then decreased markedly; while the amygdalin level was present in quite small amounts and significantly lower than the prunasin level. From 50 to 70 DAF, prunasin further declined to zero; while amygdalin increased linearly and was significantly higher than the prunasin level, then decreased or increased slowly until full maturity. The cyanogenic glycoside accumulation pattern indicated a shift from a prunasin-dominated to an amygdalin-dominated state during bitter apricot kernel development and ripening. β-glucosidase catabolic enzyme activity was high during kernel development and ripening in all tested apricot cultivars, indicating that β-glucosidase was not important for amygdalin accumulation. Correlation analysis showed a positive correlation of kernel amygdalin content with fruit dimension parameters, kernel oil content and β-glucosidase activity, but no or a weak positive correlation with kernel dimension parameters. Principal component analysis (PCA) showed that the variance accumulation contribution rate of the first three principal components totaled 84.56%, and not only revealed differences in amygdalin and prunasin contents and β-glucosidase activity among cultivars, but also distinguished different developmental stages. The results can help us understand the metabolic mechanisms underlying differential cyanogenic glycoside accumulation in apricot kernels and provide a useful reference for breeding high- or low-amygdalin-content apricot cultivars and the agronomic management, intensive processing and exploitation of bitter apricot kernels.

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“…Maturity date (MD) was dissected as a proof-of-concept of the utility of SPET approach for QTL mapping studies. MD is a relevant trait for fruit marketability, as early ripening cultivars usually command the highest prices while late-maturing cultivars allow the extension of the harvesting season [ 53 ]. Understanding the genetic architecture of MD is an important target to assist selection, considering the broad and only partially exploited variability within apricot gene pools.…”

Section: Discussionmentioning

confidence: 99%

Genetic dissection of fruit maturity date in apricot (P. armeniaca L.) through a Single Primer Enrichment Technology (SPET) approach

et al. 2022

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Background Single primer enrichment technology (SPET) is an emerging and increasingly popular solution for high-throughput targeted genotyping in plants. Although SPET requires a priori identification of polymorphisms for probe design, this technology has potentially higher reproducibility and transferability compared to other reduced representation sequencing (RRS) approaches, also enabling the discovery of closely linked polymorphisms surrounding the target one. Results The potential for SPET application in fruit trees was evaluated by developing a 25K target SNPs assay to genotype a panel of apricot accessions and progenies. A total of 32,492 polymorphic sites were genotyped in 128 accessions (including 8,188 accessory non-target SNPs) with extremely low levels of missing data and a significant correlation of allelic frequencies compared to whole-genome sequencing data used for array design. Assay performance was further validated by estimating genotyping errors in two biparental progenies, resulting in an overall 1.8% rate. SPET genotyping data were used to infer population structure and to dissect the architecture of fruit maturity date (MD), a quantitative reproductive phenological trait of great agronomical interest in apricot species. Depending on the year, GWAS revealed loci associated to MD on several chromosomes. The QTLs on chromosomes 1 and 4 (the latter explaining most of the phenotypic variability in the panel) were the most consistent over years and were further confirmed by linkage mapping in two segregating progenies. Conclusions Besides the utility for marker assisted selection and for paving the way to in-depth studies to clarify the molecular bases of MD trait variation in apricot, the results provide an overview of the performance and reliability of SPET for fruit tree genetics.

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Ripening Date and Fruit Traits in Apricot Progenies

Cited by 8 publications

References 0 publications

Inheritance of sexual incompatibility in apricot

Inheritance of sexual incompatibility in apricot

Accumulation Pattern of Amygdalin and Prunasin and Its Correlation with Fruit and Kernel Agronomic Characteristics during Apricot (Prunus armeniaca L.) Kernel Development

Genetic dissection of fruit maturity date in apricot (P. armeniaca L.) through a Single Primer Enrichment Technology (SPET) approach

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