EU-FP7 Marie Curie Intra-European Fellowship award - 254064

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EU-FP7 Marie Curie Intra-European Fellowship award - 254064

Authors

Publications

Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments

Zorić, Miroslav; Kobiljski, Borislav; Dodig, Dejan; Quarrie, Steve; Barnes, Jeremy

(Springer, Dordrecht, 2012)

TY  - JOUR
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Dodig, Dejan
AU  - Quarrie, Steve
AU  - Barnes, Jeremy
PY  - 2012
UR  - http://rik.mrizp.rs/handle/123456789/411
AB  - A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.
PB  - Springer, Dordrecht
T2  - Genetica
T1  - Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments
VL  - 140
IS  - 4-6
SP  - 259
EP  - 275
DO  - 10.1007/s10709-012-9677-2
UR  - conv_821
ER  - 
@article{
author = "Zorić, Miroslav and Kobiljski, Borislav and Dodig, Dejan and Quarrie, Steve and Barnes, Jeremy",
year = "2012",
abstract = "A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.",
publisher = "Springer, Dordrecht",
journal = "Genetica",
title = "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments",
volume = "140",
number = "4-6",
pages = "259-275",
doi = "10.1007/s10709-012-9677-2",
url = "conv_821"
}
Zorić, M., Kobiljski, B., Dodig, D., Quarrie, S.,& Barnes, J.. (2012). Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica
Springer, Dordrecht., 140(4-6), 259-275.
https://doi.org/10.1007/s10709-012-9677-2
conv_821
Zorić M, Kobiljski B, Dodig D, Quarrie S, Barnes J. Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica. 2012;140(4-6):259-275.
doi:10.1007/s10709-012-9677-2
conv_821 .
Zorić, Miroslav, Kobiljski, Borislav, Dodig, Dejan, Quarrie, Steve, Barnes, Jeremy, "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments" in Genetica, 140, no. 4-6 (2012):259-275,
https://doi.org/10.1007/s10709-012-9677-2 .,
conv_821 .
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Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes

Dodig, Dejan; Kandić, Vesna; Quarrie, Steve; Barnes, Jeremy; Zorić, Miroslav; Kobiljski, Borislav; Savić, Jasna

(Mdpi Ag, Basel, 2012)

TY  - JOUR
AU  - Dodig, Dejan
AU  - Kandić, Vesna
AU  - Quarrie, Steve
AU  - Barnes, Jeremy
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Savić, Jasna
PY  - 2012
UR  - http://rik.mrizp.rs/handle/123456789/417
AB  - Genetic analyses and association mapping were performed on a winter wheat core collection of 96 accessions sampled from a variety of geographic origins. Twenty-four agronomic traits were evaluated over 3 years under fully irrigated, rainfed and drought treatments. Grain yield was the most sensitive trait to water deficit and was highly correlated with above-ground biomass per plant and number of kernels per m(2). The germplasm was structured into four subpopulations. The association of 46 SSR loci distributed throughout the wheat genome with yield and agronomic traits was analyzed using a general linear model, where subpopulation information was used to control false-positive or spurious marker-trait associations (MTAs). A total of 26, 21 and 29 significant (P  lt  0.001) MTAs were identified in irrigated, rainfed and drought treatments, respectively. The marker effects ranged from 14.0 to 50.8%. Combined across all treatments, 34 significant (P  lt  0.001) MTAs were identified with nine markers, and R-2 ranged from 14.5 to 50.2%. Marker psp3200 (6DS) and particularly gwm484 (2DS) were associated with many significant MTAs in each treatment and explained the greatest proportion of phenotypic variation. Although we were not able to recognize any marker related to grain yield under drought stress, a number of MTAs associated with developmental and agronomic traits highly correlated with grain yield under drought were identified.
PB  - Mdpi Ag, Basel
T2  - International Journal of Molecular Sciences
T1  - Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes
VL  - 13
IS  - 5
SP  - 6167
EP  - 6188
DO  - 10.3390/ijms13056167
UR  - conv_819
ER  - 
@article{
author = "Dodig, Dejan and Kandić, Vesna and Quarrie, Steve and Barnes, Jeremy and Zorić, Miroslav and Kobiljski, Borislav and Savić, Jasna",
year = "2012",
abstract = "Genetic analyses and association mapping were performed on a winter wheat core collection of 96 accessions sampled from a variety of geographic origins. Twenty-four agronomic traits were evaluated over 3 years under fully irrigated, rainfed and drought treatments. Grain yield was the most sensitive trait to water deficit and was highly correlated with above-ground biomass per plant and number of kernels per m(2). The germplasm was structured into four subpopulations. The association of 46 SSR loci distributed throughout the wheat genome with yield and agronomic traits was analyzed using a general linear model, where subpopulation information was used to control false-positive or spurious marker-trait associations (MTAs). A total of 26, 21 and 29 significant (P  lt  0.001) MTAs were identified in irrigated, rainfed and drought treatments, respectively. The marker effects ranged from 14.0 to 50.8%. Combined across all treatments, 34 significant (P  lt  0.001) MTAs were identified with nine markers, and R-2 ranged from 14.5 to 50.2%. Marker psp3200 (6DS) and particularly gwm484 (2DS) were associated with many significant MTAs in each treatment and explained the greatest proportion of phenotypic variation. Although we were not able to recognize any marker related to grain yield under drought stress, a number of MTAs associated with developmental and agronomic traits highly correlated with grain yield under drought were identified.",
publisher = "Mdpi Ag, Basel",
journal = "International Journal of Molecular Sciences",
title = "Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes",
volume = "13",
number = "5",
pages = "6167-6188",
doi = "10.3390/ijms13056167",
url = "conv_819"
}
Dodig, D., Kandić, V., Quarrie, S., Barnes, J., Zorić, M., Kobiljski, B.,& Savić, J.. (2012). Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. in International Journal of Molecular Sciences
Mdpi Ag, Basel., 13(5), 6167-6188.
https://doi.org/10.3390/ijms13056167
conv_819
Dodig D, Kandić V, Quarrie S, Barnes J, Zorić M, Kobiljski B, Savić J. Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. in International Journal of Molecular Sciences. 2012;13(5):6167-6188.
doi:10.3390/ijms13056167
conv_819 .
Dodig, Dejan, Kandić, Vesna, Quarrie, Steve, Barnes, Jeremy, Zorić, Miroslav, Kobiljski, Borislav, Savić, Jasna, "Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes" in International Journal of Molecular Sciences, 13, no. 5 (2012):6167-6188,
https://doi.org/10.3390/ijms13056167 .,
conv_819 .
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