Assessment of the usability of four molecular markers to ıdentify potato genotypes suitable for processing

Year 2024, Volume: 33 Issue: 2, 74 - 81

Caner Yavuz Ufuk Demirel , Mehmet Emin Çalışkan

https://doi.org/10.38042/biotechstudies.1483793

Abstract

The development of processing potato cultivars through a conventional breeding program requires a detailed analysis of post-harvest traits, which is a process that demands high labor and is often time-consuming. Visual selection by breeders is biased and difficult in the field, particularly for quality traits, which shows the importance of marker-assisted selection over conventional techniques. In this study, four allele-specific markers, AGPsS-9a, Stp23-8b, StpL-3e, and Pain1-8c, developed from tuber quality-related genes, were used to screen a breeding population of the NOHU for processing traits to check the efficiency of these markers in processing trait selection. Marker association with tuber quality trait results showed that AGPsS-9a (0, absent) and StpL-3e (0) individually were associated with increased chips quality, yet their individual presence improved the reducing sugar content. Further, Pain1-8c presence was associated with high levels of reducing sugar accumulation and lower dry matter content, specific gravity, and starch content. The marker combination Stp23-8b (0) and StpL-3e (0) reached statistical significance (P≤0.05) for better chips quality in the NOHU population. However, the markers (individual and combination) showed poor selection efficiency as a diagnostic marker, possibly reasoning from the multigenic inheritance of tuber quality traits, population structure, and environment.

Keywords

Marker, Potato, Processing, Selection, Allele

Thanks

This work was produced from the MSc thesis study of Caner Yavuz. We would like to particularly thank Dr. Christina Gebhardt for providing positive/negative controls from their studies. We greatly appreciate Prof. Dr. Sevgi Caliskan for her valuable contributions and we also thank Dr. Ayten Kubra Yagiz, Cehibe Tarim and İlknur Tindas for their help during the work.

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