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Pregled bibliografske jedinice broj: 940838

QTL analysis for secondary traits in maize before and after the genomewide predictions


Galić, Vlatko; Franić, Mario; Jambrović, Antun; Brkić, Ivan; Ledenčan, Tatjana; Zdunić, Zvonimir; Brkić, Andrija; Volenik, Mirna; Šimić, Domagoj
QTL analysis for secondary traits in maize before and after the genomewide predictions // Proceedings of 53rd Croatian and 13th International Symposium on Agriculture / Rozman, Vlatka ; Antunović, Zvonko (ur.).
Osijek, 2018. str. 192-195 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
QTL analysis for secondary traits in maize before and after the genomewide predictions

Autori
Galić, Vlatko ; Franić, Mario ; Jambrović, Antun ; Brkić, Ivan ; Ledenčan, Tatjana ; Zdunić, Zvonimir ; Brkić, Andrija ; Volenik, Mirna ; Šimić, Domagoj

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 53rd Croatian and 13th International Symposium on Agriculture / Rozman, Vlatka ; Antunović, Zvonko - Osijek, 2018, 192-195

Skup
53rd Croatian and 13th International Symposium on Agriculture

Mjesto i datum
Vodice, Hrvatska, 18-23.02.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Maize, biparental population ; stepwise regression ; genomewide predictions ; rrBLUP

Sažetak
Breeding for secondary traits has the indirect goal of increasing the grain yield per unit of land used. Ridge regression BLUP method (rrBLUP) calculates the phenotypic effect of markers in the population. Estimates of phenotype having only a single variance component (marker effects) besides the intercept (population mean) can be calculated. Using such data for QTL analysis might provide increase in power and precision for detection of genetic factors underlying the trait. In this paper, we present the properties of QTL analysis on rrBLUP estimates compared to analysis with raw, observed data in a maize biparental population.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija), Interdisciplinarne biotehničke znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2013-11-5707 - Genetika i fiziologija tolerancije na višestruki stres kod kukuruza (Domagoj Šimić, )

Ustanove
Poljoprivredni institut Osijek