Use of the SNaPshot method in sweet cherry marker-assisted selection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25271121%3A_____%2F23%3AN0000065" target="_blank" >RIV/25271121:_____/23:N0000065 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of the SNaPshot method in sweet cherry marker-assisted selection

Popis výsledku v původním jazyce

Presentation of a poster at the XVI EUCARPIA Symposium on Fruit Breeding and Genetics, Dresden-Pillnitz (Germany), 11.9.2023 - 16.9.2023. Sweet cherry (Prunus avium L.) is one of the most important fruit crops of the temperate climate zone, with increasing worldwide production. Cherry breeding programs therefore face a significant challenge to develop varieties that display a range of traits that are currently preferred by both growers and consumers. The aim is to breed varieties that achieve high and regular fertility; have a low susceptibility to damage due to biotic and abiotic influences; have the desired fruit appearance and quality; as well as varieties that will contribute to the extension of seasonality. However, classic breeding of cherries is a challenging and highly inefficient process and there is an effort to increase its efficiency. The use of DNA markers, which can be implemented at the seedling stage, proves to be a useful tool for selecting offspring carrying the desired trait, as unpromising individuals can be eliminated already in the first year of their life. The identification of suitable molecular markers associated with desirable cherry traits is therefore very important for MAS in cherry breeding. Using the GWAS method, markers of important breeding traits were identified, namely skin color, fruit firmness, fruit size (weight), ripening time and flowering time. Here we present the optimized SNaPshot method, which can analyze all five selected traits in one reaction.

Název v anglickém jazyce

Use of the SNaPshot method in sweet cherry marker-assisted selection

Popis výsledku anglicky

Presentation of a poster at the XVI EUCARPIA Symposium on Fruit Breeding and Genetics, Dresden-Pillnitz (Germany), 11.9.2023 - 16.9.2023. Sweet cherry (Prunus avium L.) is one of the most important fruit crops of the temperate climate zone, with increasing worldwide production. Cherry breeding programs therefore face a significant challenge to develop varieties that display a range of traits that are currently preferred by both growers and consumers. The aim is to breed varieties that achieve high and regular fertility; have a low susceptibility to damage due to biotic and abiotic influences; have the desired fruit appearance and quality; as well as varieties that will contribute to the extension of seasonality. However, classic breeding of cherries is a challenging and highly inefficient process and there is an effort to increase its efficiency. The use of DNA markers, which can be implemented at the seedling stage, proves to be a useful tool for selecting offspring carrying the desired trait, as unpromising individuals can be eliminated already in the first year of their life. The identification of suitable molecular markers associated with desirable cherry traits is therefore very important for MAS in cherry breeding. Using the GWAS method, markers of important breeding traits were identified, namely skin color, fruit firmness, fruit size (weight), ripening time and flowering time. Here we present the optimized SNaPshot method, which can analyze all five selected traits in one reaction.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

40402 - GM technology (crops and livestock), livestock cloning, marker assisted selection, diagnostics (DNA chips and biosensing devices for the early/accurate detection of diseases) biomass feedstock production technologies, biopharming

Projekt

<a href="/cs/project/QK1910290" target="_blank" >QK1910290: Rozvoj a aplikace molekulárně genetických metod pro racionalizaci šlechtitelských postupů třešní (Prunus avium L.)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů