Functional enrichment analysis of marker effects from genomic prediction models in soybean
Аутори
Ćeran, MarinaĐorđević, Vuk
Balešević-Tubić, Svetlana
Petrović, Kristina
Miladinović, Jegor
Ranđelović, Predrag
Miladinov, Zlatica
Đukić, Vojin
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Genomic selection is a promising tool that can increase the efficiency of crop breeding, being particularly useful for improvement of quantitative traits. Th is approach is based on prediction of plant performances by estimation of breeding values using simultaneously effects of molecular markers across the genome. Even though all available genome-wide markers are used for selection, it could be expected that markers located near genes responsible for particular biological function will have higher effects on final breeding value. This work aimed to estimate marker effects for soybean yield by developing prediction model and to perform functional annotation and enrichment in order to reveal the differences in marker effects related to different biological functions on yield prediction. Training population of 230 lines from the existing breeding program of Institute of Field and Vegetable Crops, was analysed using genotyping-by-sequencing and evaluated for yield in field trails over thr...ee growing seasons.
Кључне речи:
soybean / genomic prediction / functional enrichment / gene ontologyИзвор:
Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018., 2018, 42, 67-67Издавач:
- Belgrade : University of Belgrade, Institute for Biological Research "Siniša Stanković"
Напомена:
- Published in the journal Botanica Serbica.
Колекције
Институција/група
FiVeRTY - CONF AU - Ćeran, Marina AU - Đorđević, Vuk AU - Balešević-Tubić, Svetlana AU - Petrović, Kristina AU - Miladinović, Jegor AU - Ranđelović, Predrag AU - Miladinov, Zlatica AU - Đukić, Vojin PY - 2018 UR - http://fiver.ifvcns.rs/handle/123456789/3964 AB - Genomic selection is a promising tool that can increase the efficiency of crop breeding, being particularly useful for improvement of quantitative traits. Th is approach is based on prediction of plant performances by estimation of breeding values using simultaneously effects of molecular markers across the genome. Even though all available genome-wide markers are used for selection, it could be expected that markers located near genes responsible for particular biological function will have higher effects on final breeding value. This work aimed to estimate marker effects for soybean yield by developing prediction model and to perform functional annotation and enrichment in order to reveal the differences in marker effects related to different biological functions on yield prediction. Training population of 230 lines from the existing breeding program of Institute of Field and Vegetable Crops, was analysed using genotyping-by-sequencing and evaluated for yield in field trails over three growing seasons. PB - Belgrade : University of Belgrade, Institute for Biological Research "Siniša Stanković" C3 - Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018. T1 - Functional enrichment analysis of marker effects from genomic prediction models in soybean EP - 67 SP - 67 VL - 42 UR - https://hdl.handle.net/21.15107/rcub_fiver_3964 ER -
@conference{ author = "Ćeran, Marina and Đorđević, Vuk and Balešević-Tubić, Svetlana and Petrović, Kristina and Miladinović, Jegor and Ranđelović, Predrag and Miladinov, Zlatica and Đukić, Vojin", year = "2018", abstract = "Genomic selection is a promising tool that can increase the efficiency of crop breeding, being particularly useful for improvement of quantitative traits. Th is approach is based on prediction of plant performances by estimation of breeding values using simultaneously effects of molecular markers across the genome. Even though all available genome-wide markers are used for selection, it could be expected that markers located near genes responsible for particular biological function will have higher effects on final breeding value. This work aimed to estimate marker effects for soybean yield by developing prediction model and to perform functional annotation and enrichment in order to reveal the differences in marker effects related to different biological functions on yield prediction. Training population of 230 lines from the existing breeding program of Institute of Field and Vegetable Crops, was analysed using genotyping-by-sequencing and evaluated for yield in field trails over three growing seasons.", publisher = "Belgrade : University of Belgrade, Institute for Biological Research "Siniša Stanković"", journal = "Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018.", title = "Functional enrichment analysis of marker effects from genomic prediction models in soybean", pages = "67-67", volume = "42", url = "https://hdl.handle.net/21.15107/rcub_fiver_3964" }
Ćeran, M., Đorđević, V., Balešević-Tubić, S., Petrović, K., Miladinović, J., Ranđelović, P., Miladinov, Z.,& Đukić, V.. (2018). Functional enrichment analysis of marker effects from genomic prediction models in soybean. in Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018. Belgrade : University of Belgrade, Institute for Biological Research "Siniša Stanković"., 42, 67-67. https://hdl.handle.net/21.15107/rcub_fiver_3964
Ćeran M, Đorđević V, Balešević-Tubić S, Petrović K, Miladinović J, Ranđelović P, Miladinov Z, Đukić V. Functional enrichment analysis of marker effects from genomic prediction models in soybean. in Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018.. 2018;42:67-67. https://hdl.handle.net/21.15107/rcub_fiver_3964 .
Ćeran, Marina, Đorđević, Vuk, Balešević-Tubić, Svetlana, Petrović, Kristina, Miladinović, Jegor, Ranđelović, Predrag, Miladinov, Zlatica, Đukić, Vojin, "Functional enrichment analysis of marker effects from genomic prediction models in soybean" in Book of Abstracts, 7th Balkan Botanical Congress, Novi Sad, Serbia, 10-14.9.2018., 42 (2018):67-67, https://hdl.handle.net/21.15107/rcub_fiver_3964 .