Apricot Cultivar Evolution and Breeding Program in China

Liu, W.; Liu, N.; Zhang, Y.; Lei, Yu; Sun, Miao; Xu, Ma; Zhang, Q.; Liu, S.

doi:10.17660/actahortic.2012.966.35

Cited by 9 publications

(7 citation statements)

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“…Quality traits, such as fruit size, fruit hardness, and solid content, are crucial to apricot consumers and are therefore a priority breeding objective ( Liu et al, 2012 ). Previous studies have considered these traits as quantitative traits.…”

Section: Introductionmentioning

confidence: 99%

Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci Linked to Fruit Quality Traits in Apricots Using Specific-Locus Amplified Fragment Sequencing

Zhang

Liu

et al. 2022

Front. Plant Sci.

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Improving fruit quality is one of the main tasks in modern commercial apricot breeding. Because of the lack of high-density linkage maps and fine mapping, it is difficult to obtain molecular markers that can assist in breeding for quantitative inheritance of fruit quality traits. In this study, specific-locus amplified fragment sequencing was used to genotype 169 seedlings of F1 apricot (Prunus armeniaca L.) progenies derived from crossing “Chuanzhihong” (H) with “Saimaiti” (S). After aligning to the Prunus armeniaca reference genome and filtering out low-quality variants, 6,012 high-quality single nucleotide polymorphisms were obtained and employed to construct a genetic map for each parent. The genetic linkage maps showed eight linkage groups of apricot, covering a distance of 809.6 cM in “H” and 1076.4 cM in “S”. The average distance between markers in “H” and “S” was 0.62 and 0.95 cM, respectively. To map quantitative trait loci (QTLs) for fruit quality, we investigated fruit quality traits, including fruit weight (FW), fruit height (FH), fruit lateral width (FL), fruit ventral width (FV), soluble solids content (SSC), and fruit firmness (FF) for all seedlings genotyped in 2018 and 2019. Eleven and nine QTLs linked to fruit quality traits were anchored on the “H” and “S” maps, respectively, and 1,138 putative candidate genes for 16 most significant regions on the corresponding chromosome were identified based on gene annotation. Among them, fruit size contained 648 genes in 11 intervals on the reference genome, SSC contained 372 genes in 3 intervals, and FF contained 117 genes in 2 intervals. Our findings uncovered the genetic basis of apricot fruit quality, and provided candidate genes for further molecular genetic studies on fruit quality and QTL targets for future marker-assisted selection of apricot quality improvement breeding.

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Section: Introductionmentioning

confidence: 99%

Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci Linked to Fruit Quality Traits in Apricots Using Specific-Locus Amplified Fragment Sequencing

Zhang

Liu

et al. 2022

Front. Plant Sci.

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“…For example, the first move of China's economic reform was started at the beginning of the 1980s and the land of the People's Communes was divided into private lands. This action accelerated the development of rural industries and increased the agricultural production, including fruit production (Liu, Liu, et al, 2012). The Three‐North (Northeast, North Central, and Northwest China) Forest Shelterbelt Program in 1978 (Wang et al, 2011) and the “Grain for Green” project in 1999 were implemented, with the aim of returning about 32 million ha of cultivated hillside lands across China to forestlands by the year 2010 (Chen et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

An explanatory spatio‐temporal pattern analysis of the fruit industry in Xinjiang, China, between 1988 and 2017

Ilniyaz

Kurban

et al. 2022

Transactions in GIS

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Awareness of spatio‐temporal patterns in the fruit industry is important for planning planting structures and improving yield. Xinjiang is famous for its fruit because of their unique natural features. However, overall quality and yields lag behind international and national levels owing to technological and economic limitations. Using seven perennial fruits, this study investigated the spatio‐temporal features and trends in the Xinjiang fruit industry during the period 1988–2017. The best‐fitting regression models of fruit production, determined by Akaike's information criterion, revealed improvements over these years. Spatial autocorrelation and comparative advantage analyses revealed an expanding fruit industry in the south and east of Xinjiang and the fruit concentration in some areas revealed higher suitability than that in others. Natural conditions were the dominant factors affecting the suitability for fruit planting, whereas anthropological activities were the driving factors. Economic growth can promote yield efficiency when combined with better management, product composition, sort selection, and planting technologies.

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“…LE and JG, with the accession number XC0347 and XC0015 based on the Chinese National Key Project “Exploration, Collection, Conservation of Plum and Apricot Germplasm Resources” funded by the Agricultural Ministry of China. The identification of LE and JG cultivar was done by the Liaoning Institute of Pomology [ 43 , 44 ]. During the 2015 season, the fruits of LE and JG were picked in National Germplasm Repository for Plums and Apricots from 6 DAFB (50% of flowers had opened) including all the developmental stages of fruit, with the permission of the curator, Dr. Weisheng LIU, of National Germplasm Repository for Plums and Apricots and used in this study.…”

Section: Methodsmentioning

confidence: 99%

Comparative transcriptome profiling and morphology provide insights into endocarp cleaving of apricot cultivar (Prunus armeniaca L.)

Xiao¹,

Zhang²,

Zhang³

et al. 2017

BMC Plant Biol

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BackgroundA complete and hardened endocarp is a typical trait of drupe fruits. However, the ‘Liehe’ (LE) apricot cultivar has a thin, soft, cleavable endocarp that represents 60.39% and 63.76% of the thickness and lignin content, respectively, of the ‘Jinxihong’ (JG) apricot (with normal hardened-endocarp). To understand the molecular mechanisms behind the LE apricot phenotype, comparative transcriptomes of Prunus armeniaca L. were sequenced using Illumina HiSeq™ 2500.ResultsIn this study, we identified 63,170 unigenes including 15,469 genes >1000 bp and 25,356 genes with Gene Function annotation. Pathway enrichment and expression patterns were used to characterize differentially expression genes. The DEGs encoding key enzymes involved in phenylpropanoid biosynthesis were significantly down-regulated in LE apricot. For example, CAD gene expression levels, encoding cinnamyl alcohol dehydrogenase, were only 1.3%, 0.7%, 0.2% and 2.7% in LE apricot compared with JG cultivar at 15, 21, 30, 49 days after full bloom (DAFB). Furthermore, transcription factors regulating secondary wall and lignin biosynthesis were identified. Especially for SECONDARY WALL THICKENING PROMOTING FACTOR 1 (NST 1), its expression levels in LE apricot were merely 2.8% and 9.3% compared with JG cultivar at 15 and 21 DAFB, respectively.ConclusionsOur comparative transcriptome analysis was used to understand the molecular mechanisms underlie the endocarp-cleaving phenotype in LE apricot. This new apricot genomic resource and the candidate genes provide a useful reference for further investigating the lignification during development of apricot endocarp. Transcription factors such as NST1 may regulate genes involved in phenylpropanoid pathway and affect development and lignification of the endocarp.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-017-1023-5) contains supplementary material, which is available to authorized users.

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Apricot Cultivar Evolution and Breeding Program in China

Cited by 9 publications

References 0 publications

Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci Linked to Fruit Quality Traits in Apricots Using Specific-Locus Amplified Fragment Sequencing

Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci Linked to Fruit Quality Traits in Apricots Using Specific-Locus Amplified Fragment Sequencing

An explanatory spatio‐temporal pattern analysis of the fruit industry in Xinjiang, China, between 1988 and 2017

Comparative transcriptome profiling and morphology provide insights into endocarp cleaving of apricot cultivar (Prunus armeniaca L.)

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