Int. J. Mol. Sci. 2012, 13(5), 6167-6188; doi:10.3390/ijms13056167
Article

Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes

Dejan Dodig 1,2,* email, Miroslav Zoric 3 email, Borislav Kobiljski 3 email, Jasna Savic 4 email, Vesna Kandic 1 email, Steve Quarrie 2 email and Jeremy Barnes 2 email
1 Maize Research Institute, Slobodana Bajica 1, Belgrade-Zemun Polje 11185, Serbia 2 Environmental and Molecular Plant Physiology Research Group, School of Biology, Devonshire Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK 3 Institute of Field and Vegetative Crops, Maksima Gorkog 30, Novi Sad 21000, Serbia 4 Faculty of Agriculture, University of Belgrade, Nemanjina 6, Belgrade 11080, Serbia
* Author to whom correspondence should be addressed.
Received: 14 March 2012; in revised form: 2 May 2012 / Accepted: 15 May 2012 / Published: 18 May 2012
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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 m2. 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 < 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 < 0.001) MTAs were identified with nine markers, and R2 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.
Keywords: wheat; agronomic traits; drought; population structure; association mapping

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MDPI and ACS Style

Dodig, D.; Zoric, M.; Kobiljski, B.; Savic, J.; Kandic, V.; Quarrie, S.; Barnes, J. Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. Int. J. Mol. Sci. 2012, 13, 6167-6188.

AMA Style

Dodig D, Zoric M, Kobiljski B, Savic J, Kandic V, Quarrie S, Barnes J. Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. International Journal of Molecular Sciences. 2012; 13(5):6167-6188.

Chicago/Turabian Style

Dodig, Dejan; Zoric, Miroslav; Kobiljski, Borislav; Savic, Jasna; Kandic, Vesna; Quarrie, Steve; Barnes, Jeremy. 2012. "Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes." Int. J. Mol. Sci. 13, no. 5: 6167-6188.

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