Drought is one of the most important factors contributing to crop yield loss. Developing maize varieties with drought tolerance requires exploring the genetic basis of yield and associated agronomic traits. In order to identify QTLs for yield and drought related traits and to determine their relationships, 116 F-3 families of the DTP79xB73 cross were evaluated in field trials. Phenotypic correlations between the traits were calculated using Pearson's coefficient. QTL detection was performed using ANOVA and composite interval mapping (CIM). Out of 64 QTLs identified using CIM for all analyzed traits 26 QTLs were also identified with ANOVA. For all the traits (except for EL, DS2 and RWC1) only a small proportion of phenotypic variation was accounted for by the identified QTL. The significant positive/negative phenotypic correlations between different traits and coincidence of markers with allelic differences in the expected direction show that they may be causally correlated. The above c...riteria were fullfilled for a subset of QTLs within all the traits. The overlap found between the QTLs for yield and those for the other traits suggests the presence of genes with pleiotropic effects on the investigated traits. Results will be used for further investigation and detection of possible candidate genes for drought tolerance in maize.
TY - JOUR
AU - Nikolić, Ana
AU - Ignjatović-Micić, Dragana
AU - Dodig, Dejan
AU - Anđelković, Violeta
AU - Lazić-Jančić, Vesna
PY - 2012
UR - http://rik.mrizp.rs/handle/123456789/427
AB - Drought is one of the most important factors contributing to crop yield loss. Developing maize varieties with drought tolerance requires exploring the genetic basis of yield and associated agronomic traits. In order to identify QTLs for yield and drought related traits and to determine their relationships, 116 F-3 families of the DTP79xB73 cross were evaluated in field trials. Phenotypic correlations between the traits were calculated using Pearson's coefficient. QTL detection was performed using ANOVA and composite interval mapping (CIM). Out of 64 QTLs identified using CIM for all analyzed traits 26 QTLs were also identified with ANOVA. For all the traits (except for EL, DS2 and RWC1) only a small proportion of phenotypic variation was accounted for by the identified QTL. The significant positive/negative phenotypic correlations between different traits and coincidence of markers with allelic differences in the expected direction show that they may be causally correlated. The above criteria were fullfilled for a subset of QTLs within all the traits. The overlap found between the QTLs for yield and those for the other traits suggests the presence of genes with pleiotropic effects on the investigated traits. Results will be used for further investigation and detection of possible candidate genes for drought tolerance in maize.
PB - Diagnosis Press Ltd, Sofia
T2 - Biotechnology & Biotechnological Equipment
T1 - Identification of QTLS for yield and drought-related traits in maize: assessment of their causal relationships
VL - 26
IS - 3
SP - 2952
EP - 2960
DO - 10.5504/BBEQ.2012.0016
UR - conv_815
ER -
@article{
author = "Nikolić, Ana and Ignjatović-Micić, Dragana and Dodig, Dejan and Anđelković, Violeta and Lazić-Jančić, Vesna",
year = "2012",
abstract = "Drought is one of the most important factors contributing to crop yield loss. Developing maize varieties with drought tolerance requires exploring the genetic basis of yield and associated agronomic traits. In order to identify QTLs for yield and drought related traits and to determine their relationships, 116 F-3 families of the DTP79xB73 cross were evaluated in field trials. Phenotypic correlations between the traits were calculated using Pearson's coefficient. QTL detection was performed using ANOVA and composite interval mapping (CIM). Out of 64 QTLs identified using CIM for all analyzed traits 26 QTLs were also identified with ANOVA. For all the traits (except for EL, DS2 and RWC1) only a small proportion of phenotypic variation was accounted for by the identified QTL. The significant positive/negative phenotypic correlations between different traits and coincidence of markers with allelic differences in the expected direction show that they may be causally correlated. The above criteria were fullfilled for a subset of QTLs within all the traits. The overlap found between the QTLs for yield and those for the other traits suggests the presence of genes with pleiotropic effects on the investigated traits. Results will be used for further investigation and detection of possible candidate genes for drought tolerance in maize.",
publisher = "Diagnosis Press Ltd, Sofia",
journal = "Biotechnology & Biotechnological Equipment",
title = "Identification of QTLS for yield and drought-related traits in maize: assessment of their causal relationships",
volume = "26",
number = "3",
pages = "2952-2960",
doi = "10.5504/BBEQ.2012.0016",
url = "conv_815"
}
Nikolić, A., Ignjatović-Micić, D., Dodig, D., Anđelković, V.,& Lazić-Jančić, V.. (2012). Identification of QTLS for yield and drought-related traits in maize: assessment of their causal relationships. in Biotechnology & Biotechnological Equipment
Diagnosis Press Ltd, Sofia., 26(3), 2952-2960.
https://doi.org/10.5504/BBEQ.2012.0016
conv_815
Nikolić A, Ignjatović-Micić D, Dodig D, Anđelković V, Lazić-Jančić V. Identification of QTLS for yield and drought-related traits in maize: assessment of their causal relationships. in Biotechnology & Biotechnological Equipment. 2012;26(3):2952-2960.
doi:10.5504/BBEQ.2012.0016
conv_815 .
Nikolić, Ana, Ignjatović-Micić, Dragana, Dodig, Dejan, Anđelković, Violeta, Lazić-Jančić, Vesna, "Identification of QTLS for yield and drought-related traits in maize: assessment of their causal relationships" in Biotechnology & Biotechnological Equipment, 26, no. 3 (2012):2952-2960,
https://doi.org/10.5504/BBEQ.2012.0016 .,
conv_815 .
