Literature DB >> 24162227

Marker-based estimates of identity by descent and alikeness in state among maize inbreds.

R Bernardo1, A Murigneux, Z Karaman.   

Abstract

Molecular markers are useful for determining relationships and similarity among inbreds, especially if the proportion of marker loci with alleles common to inbreds i and j is partitioned into: (1) the probability that marker alleles are identical by descent (Mfij); and (2) the conditional probability that marker alleles are alike in state, given that they are not identical by descent (θ ij). Our objectives were to: develop a method, based on tabular analysis of restriction fragment length polymorphism marker data, for estimating Mfij, θ ij, and the parental contribution to inbred progeny; validate the accuracy of the method with a simulated data set; and compare the pedigree-based coefficient of coancestry (fij) and Mfij among a set of maize (Zea mays L.) inbreds. Banding patterns for 73 probeenzyme combinations were determined among 13 inbreds. Iterative estimation of Mfij, θ ij, and the parental contribution to progeny was performed with procedures similar to a tabular analysis of pedigree data. Deviations of Mfij from pedigree-based fij ranged from 0.002 to 0.288, indicating large effects of selection and/or drift during inbreeding for some inbreds. Differences between marker-based estimates and expected values of parental contribution to inbred progeny were as large as 0.205. Results for a simulated set of inbreds indicated that tabular analysis of marker data provides more accurate estimates of Mfij and θ ij than other methods described in the literature. Tabular analysis requires the availability of marker data for all the progenitors of each inbred. When marker data are not available for the parents of a given inbred, Mfij and θ ij may still be calculated if parental contributions to the inbred are assumed equal to their expectations.

Entities:  

Year:  1996        PMID: 24162227     DOI: 10.1007/BF00225755

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  4 in total

1.  Systematic procedures for calculating inbreeding coefficients.

Authors:  L O EMIK; C E TERRILL
Journal:  J Hered       Date:  1949-02       Impact factor: 2.645

2.  Molecular and morphological evaluation of doubled haploid lines in maize. 1. Homogeneity within DH lines.

Authors:  A Murigneux; D Barloy; P Leroy; M Beckert
Journal:  Theor Appl Genet       Date:  1993-08       Impact factor: 5.699

3.  Estimation of relatedness by DNA fingerprinting.

Authors:  M Lynch
Journal:  Mol Biol Evol       Date:  1988-09       Impact factor: 16.240

4.  Estimation of coefficient of coancestry using molecular markers in maize.

Authors:  R Bernardo
Journal:  Theor Appl Genet       Date:  1993-02       Impact factor: 5.699

  4 in total
  12 in total

1.  Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses.

Authors:  Tobias A Schrag; Jens Möhring; Hans Peter Maurer; Baldev S Dhillon; Albrecht E Melchinger; Hans-Peter Piepho; Anker P Sørensen; Matthias Frisch
Journal:  Theor Appl Genet       Date:  2008-12-02       Impact factor: 5.699

Review 2.  Association mapping: critical considerations shift from genotyping to experimental design.

Authors:  Sean Myles; Jason Peiffer; Patrick J Brown; Elhan S Ersoz; Zhiwu Zhang; Denise E Costich; Edward S Buckler
Journal:  Plant Cell       Date:  2009-08-04       Impact factor: 11.277

3.  Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.).

Authors:  Dongling Zhang; Chenyang Hao; Lanfen Wang; Xueyong Zhang
Journal:  Planta       Date:  2012-07-21       Impact factor: 4.116

4.  Comparison of mixed-model approaches for association mapping.

Authors:  Benjamin Stich; Jens Möhring; Hans-Peter Piepho; Martin Heckenberger; Edward S Buckler; Albrecht E Melchinger
Journal:  Genetics       Date:  2008-02-03       Impact factor: 4.562

5.  Support vector machine regression for the prediction of maize hybrid performance.

Authors:  S Maenhout; B De Baets; G Haesaert; E Van Bockstaele
Journal:  Theor Appl Genet       Date:  2007-09-06       Impact factor: 5.574

6.  Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.

Authors:  Lanfen Wang; Hongmei Ge; Chenyang Hao; Yushen Dong; Xueyong Zhang
Journal:  PLoS One       Date:  2012-02-06       Impact factor: 3.240

7.  Association and Validation of Yield-Favored Alleles in Chinese Cultivars of Common Wheat (Triticumaestivum L.).

Authors:  Jie Guo; Chenyang Hao; Yong Zhang; Boqiao Zhang; Xiaoming Cheng; Lin Qin; Tian Li; Weiping Shi; Xiaoping Chang; Ruilian Jing; Wuyun Yang; Wenjing Hu; Xueyong Zhang; Shunhe Cheng
Journal:  PLoS One       Date:  2015-06-11       Impact factor: 3.240

8.  The iSelect 9 K SNP analysis revealed polyploidization induced revolutionary changes and intense human selection causing strong haplotype blocks in wheat.

Authors:  Chenyang Hao; Yuquan Wang; Shiaoman Chao; Tian Li; Hongxia Liu; Lanfen Wang; Xueyong Zhang
Journal:  Sci Rep       Date:  2017-01-30       Impact factor: 4.379

9.  Comparison of mixed-model approaches for association mapping in rapeseed, potato, sugar beet, maize, and Arabidopsis.

Authors:  Benjamin Stich; Albrecht E Melchinger
Journal:  BMC Genomics       Date:  2009-02-27       Impact factor: 3.969

10.  TEF-7A, a transcript elongation factor gene, influences yield-related traits in bread wheat (Triticum aestivum L.).

Authors:  Jun Zheng; Hong Liu; Yuquan Wang; Lanfen Wang; Xiaoping Chang; Ruilian Jing; Chenyang Hao; Xueyong Zhang
Journal:  J Exp Bot       Date:  2014-07-23       Impact factor: 6.992

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