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您的检索式：作者名="Scott Duguid"
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| 1 | Genomic regions underlying agronomic traits in linseed(Linum usitatissimum L.) as revealed by association mapping显示文摘The extremeclimate of the Canadian Prairies poses a major challenge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture.The Canadian flax core collection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bolls per area, 1,000 seed weight, seeds per boll, start of flowering,end of flowering, plant height, plant branching, and lodging collected from up to eight environments was used for association mapping. Based on a mixed model (principal component analysis (PCA)tkinship matrix (K)), 12 significant marker-trait associations for six agronomic traits were identified.Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable alleles have additive effects. None of the modern cultivars carried the five favorable alleles and the maximum number of four observed in any accessions was mostly in breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while illustrating the potential for improvement through marker-assisted selection. | Braulio J.Soto-Cerda Scott Duguid Helen Booker Gordon Rowland Axel Diederichsen Sylvie Cloutier | 2014 | Journal of Integrative Plant Biology2014，56，1： | 8 |
| 2 | Cadmium-binding protein components of flaxseed: Influence of cultivar and location显示文摘 | B. Dave Oomah Brian Berekoff Eunice C.Y. Li-Chan Giuseppe Mazza Edward O. Kenaschuk Scott D. Duguid | 2005 | Food Chemistry2005，，1： | 1 |
| 3 | Gene expression of stearoyl-ACP desaturase and Δ12 fatty acid desaturase 2 is modulated during seed development of flax (Linum usitatissimum)显示文摘 | Bourlaye Fofana Sylvie Cloutier Scott Duguid Jacqueline Ching Chris Rampitsch | 2006 | Lipids2006，，7： | 1 |
| 4 | Development and analysis of EST-SSRs for flax (Linum usitatissimum L.)显示文摘 | Sylvie Cloutier Zhixia Niu Raju Datla Scott Duguid | 2009 | Theoretical and Applied Genetics2009，，1： | 1 |
| 5 | Estimation of genetic parameters and their sampling variances for quantitative traits in the type 2 modified augmented design显示文摘The type 2 modified augmented design(MAD2) is an efficient unreplicated experimental design used for evaluating large numbers of lines in plant breeding and for assessing genetic variation in a population. Statistical methods and data adjustment for soil heterogeneity have been previously described for this design. In the absence of replicated test genotypes in MAD2, their total variance cannot be partitioned into genetic and error components as required to estimate heritability and genetic correlation of quantitative traits, the two conventional genetic parameters used for breeding selection. We propose a method of estimating the error variance of unreplicated genotypes that uses replicated controls, and then of estimating the genetic parameters. Using the Delta method, we also derived formulas for estimating the sampling variances of the genetic parameters.Computer simulations indicated that the proposed method for estimating genetic parameters and their sampling variances was feasible and the reliability of the estimates was positively associated with the level of heritability of the trait. A case study of estimating the genetic parameters of three quantitative traits, iodine value, oil content, and linolenic acid content, in a biparental recombinant inbred line population of flax with 243 individuals, was conducted using our statistical models. A joint analysis of data over multiple years and sites was suggested for genetic parameter estimation. A pipeline module using SAS and Perl was developed to facilitate data analysis and appended to the previously developed MAD data analysis pipeline(http://gffzzebd7c0d4fd3c45a1howbnv6fcpov66p9b.ffgz.tsg.suse.edu.cn/bioinformatics_ tools/MADPipeline/index.html). | Frank M.You Qijian Song Gaofeng Jia Yanzhao Cheng Scott Duguid Helen Booker Sylvie Cloutier | 2016 | The Crop Journal2016，4，2： | 1 |
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