Evaluation of genetic characteristics and physicochemical property of Korean wheat landraces (Triticum aestivum L.)open access
- Authors
- Lee, Yumi; Oh, Sejin; Kang, Seong-Wook; Ock, Jaeyoung; Ryu, Gitak; Lee, Seul; Park, Jinhee; Moon, Jin-Young; Kim, Jin-Young; Lee, Jongtae; Cho, Seong-Woo
- Issue Date
- Sep-2025
- Publisher
- Ceska Akademie Zemedelskych Ved
- Keywords
- genetic resources; marker-assisted selection; Mixolab; solvent retention capacity; flour quality
- Citation
- Czech Journal of Genetics and Plant Breeding
- Indexed
- SCIE
SCOPUS
- Journal Title
- Czech Journal of Genetics and Plant Breeding
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/80418
- DOI
- 10.17221/48/2025-CJGPB
- ISSN
- 1212-1975
1805-9325
- Abstract
- This study has evaluated the genetic characteristics and wheat processing-related properties of four Korean wheat landraces (KWLs). The KWLs were found to possess the vernalization alleles vrn-A1, vrn-B1, and Vrn-D1 and the photoperiod alleles Ppd-A1b, Ppd-B1b, and Ppd-D1a. The Korean cultivated variety Keumgang also shared these alleles with the exception of vrn-D1. With regard to grain hardness, KWL 2 was shown to possess Pina-D1a and Pinb-D1b like Keumgang, while other KWLs were classified as carrying Pina-D1a and Pinb-D1a. All KWLs were found to be non-waxy, carrying the alleles Wx-A1a, Wx-B1a, and Wx-D1a. With regard to the polyphenol oxidase (PPO) genes, all four KWLs carried low-activity alleles, in contrast to the Keumgang sample. The assessment of physicochemical properties revealed that KWL 1, 3, and 4 had a higher amylose content but a lower protein content than KWL 2 and Keumgang. In tests of solvent retention capacity KWL 1 and KWL 2 exhibited the lowest and highest values, respectively, for all four solvents used in the tests. With regard to the dough properties, the results of Mixolab analysis indicated a faster starch gelatinisation in KWL1, while in KWL 2 a high water absorption and the longest dough development and stability times were found. KWL 3 and 4 exhibited similar dough behaviours. Principal component analysis of the four KWL lines revealed distinct clustering based on their physicochemical and dough-related traits.
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Collections - 학과간협동과정 > 생명자원과학과 > Journal Articles
- 학과간협동과정 > 식물자원학과 > Journal Articles
- 농업생명과학대학 > 스마트농산업학과 > Journal Articles

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