000 | 03180nab a22004937a 4500 | ||
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001 | G81400 | ||
003 | MX-TxCIM | ||
005 | 20240919020945.0 | ||
008 | 220530s2004 xxk|||p|op||| 00| 0 eng d | ||
022 | _a1601-5223 | ||
024 | 8 | _ahttps://doi.org/10.1111/j.1601-5223.2004.01817.x | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
072 | 0 | _aA50 | |
072 | 0 | _aF30 | |
090 | _aCIS-4388 | ||
100 | 1 |
_aBjornstad, A. _93914 |
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245 | 1 | 0 | _aResistance to barley scald (Rhynchosporium secalis)in the ethiopian donor lines 'Steudelli' and 'Jet', analyzed by partial least squares regression and interval mapping |
260 |
_aUnited Kingdom : _bWiley, _c2004. |
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340 | _aPrinted | ||
500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0018-0661 | ||
500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aThe resistance of barley (Hordeum vulgare L.) to Rhynchosporium secalis (scald) has been investigated in two crosses between the susceptible cv. ‘Ingrid’ and two resistant Ethiopian landraces, ‘Steudelli’ and ‘Jet’. Doubled haploids were inoculated in replicated tests using two isolates of R. secalis, ‘4004’ and ‘WRS1872’. Expression of resistance differed widely between replicated tests. AFLP, SSR and RFLP markers were used to develop chromosome maps. Results have been analysed using partial least squares regression (PLSR) and interval mapping. In PLSR the major covariance structures or ‘latent variables’ between X (markers) and Y (isolates, tests) are modelled as principal components and their optimal number determined by cross‐validation. In ‘Steudelli’ two QTL were detected, one on each of chromosomes 3H and 7H, in 4 out of 5 tests, while in ‘Jet’ only one (different) allele at the 3H locus was found. The validated R2 varied between 11.0% and 64.9% in the replicated tests with ‘4004’.With isolate ‘WRS1872’ the 7H locus and another 3H locus were detected. By interval mapping the QTL detected were less stable and generally gave lower R2 values than PLSR. PLSR does not depend on maps, but interval mapping based on values predicted by PLSR had R2 around 90%. It is suggested that PLSR may be a useful tool in QTL analysis. | ||
536 | _aGenetic Resources Program | ||
546 | _aText in English | ||
591 | _a0503|AL-ABC Program | ||
594 | _aCCJL01 | ||
595 | _aCSC | ||
650 | 7 |
_aBarley _2AGROVOC _91018 |
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650 | 7 |
_aRhynchosporium secalis _2AGROVOC _927636 |
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650 | 7 |
_aStatistical methods _2AGROVOC _92624 |
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650 | 7 |
_aAmplified fragment length polymorphism _2AGROVOC _913624 |
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650 | 7 |
_aRestriction fragment length polymorphism _2AGROVOC _96122 |
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650 | 7 |
_aMicrosatellites _2AGROVOC _92261 |
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700 | 1 |
_aGronnerod, S. _927637 |
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700 | 1 |
_aMac Key, J. _927638 |
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700 | 1 |
_aTekauz, A. _927639 |
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700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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700 | 1 |
_aMartens, H. _927640 |
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773 | 0 |
_tHereditas _n630759 _gv. 141, no. 2, p. 166-179 _dUnited Kingdom : Wiley, 2004. _wG444334 _x1601-5223 |
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856 | 4 |
_uhttps://hdl.handle.net/10883/21384 _yOpen Access through DSpace |
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942 |
_cJA _2ddc _n0 |
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999 |
_c25333 _d25333 |