|Table of Contents|

Application of KASP Molecular Markers in Fingerprint Construction and Seed Purity Detection of Watermelon

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2026年11
Page:
10-17
Research Field:
Publishing date:

Info

Title:
Application of KASP Molecular Markers in Fingerprint Construction and Seed Purity Detection of Watermelon
Author(s):
ZHOU Fuxuan123HU Zongwei12XI Junfeng1DAI Lei4DAI Zuyun123YANG Zhongzhou123
(1.Anhui Jianghuai Horticulture Seed Co.Ltd.,Hefei,Anhui 230000;2.Key Laboratory of Jianghuai Fruit and Vegetable Germplasm Innovation,Ministry of Agriculture and Rural Affairs,Hefei,Anhui 230000;3.China-costa Rica Joint Laboratory of Fruit and Vegetable Biological Breeding and Intelligence,Hefei,Anhui 230000;4.Anhui Nongyan Research Testing Center Co.Ltd.,Hefei,Anhui 230000)
Keywords:
watermelonDNA fingerprintcultivar purityKASPSNP
PACS:
S651
DOI:
10.11937/bfyy.20254085
Abstract:
Taking the ‘Zhuoyue No.11’ of watermelon and its parents as the test materials,genotyping was conducted using core KASP markers developed based on the entire genome of watermelon.The information of the variety and its parents was converted into barcodes using a QR code generator.The feasibility of using polymorphic KASP primers for variety purity identification was studied,and the identification results were compared with field identification and SSR molecular marker identification results,in order to establish a high-throughput detection system applicable to the ‘Zhuoyue No.11’ variety,providing a reference for domestic watermelon variety registration,protection,rights protection,and purity detection work.The results showed that among the 48 KASP markers,47 were successfully genotyped,accounting for 97.9%.DNA fingerprints were constructed based on the genotyping data of this variety and its parental lines.The purity of ‘Zhuoyue No.11’ detected by the 19 polymorphic markers was 99.2%,which was consistent with the results from SSR markers and field identification.This research successfully established the ‘Zhuoyue No.11’ high-throughput detection system,providing strong support for the precise identification and efficient management of watermelon varieties.

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Last Update: 2026-06-23