000 | 03333nab|a22004817a|4500 | ||
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001 | 67650 | ||
003 | MX-TxCIM | ||
005 | 20240919021005.0 | ||
008 | 20247s2024||||mx |||p|op||||00||0|eng|d | ||
022 | _a0014-2336 | ||
022 | _a1573-5060 (Online) | ||
024 | 8 | _ahttps://doi.org/10.1007/s10681-024-03355-w | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aZelba, O. _934404 |
|
245 | 1 | 4 | _aThe adult plant resistance (APR) genes Yr18, Yr29 and Yr46 in spring wheat showed significant effect against important yellow rust races under North-West European field conditions |
260 |
_bSpringer Netherlands, _c2024. _aDordrecht (Netherlands) : |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aYellow rust caused by Puccinia striiformis f. sp. tritici (Pst) is one of the most important wheat diseases. Adult plant resistance (APR) genes have gained the attention of breeders and scientists because they show higher durability compared to major race-specific genes. Here, we determined the effect of the APR genes Yr18, Yr29 and Yr46 in North-West European field conditions against three currently important Pst races. We used three pairs of sibling wheat lines developed at CIMMYT, which consisted of a line with the functional resistance gene and a sibling with its non-functional allele. All APR genes showed significant effects against the Pst races Warrior and Warrior (-), and a race of the highly aggressive strain PstS2. The effects of Yr18 and Yr46 were especially substantial in slowing down disease progress. This effect was apparent in both Denmark, where susceptible controls reached 100 percent disease severity, and in United Kingdom where disease pressure was lower. We further validated field results by quantifying fungal biomass in leaf samples and by micro-phenotyping of samples collected during early disease development. Microscopic image analyses using deep learning allowed us to quantify separately the APR effects on leaf colonization and pustule formation. Our results show that the three APR genes can be used in breeding yellow rust resistant varieties of spring wheat to be grown in North-West European conditions, and that deep learning image analysis can be an effective method to quantify effects of APR on colonisation and pustule formation. | ||
546 | _aText in English | ||
591 | _aHuerta-Espino, J. : No CIMMYT Affiliation | ||
650 | 7 |
_aSpring wheat _2AGROVOC _91806 |
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650 | 7 |
_aBreeding _2AGROVOC _91029 |
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650 | 7 |
_aPhenotyping _2AGROVOC _91437 |
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650 | 7 |
_aPuccinia striiformis _2AGROVOC _91842 |
|
650 | 7 |
_aLearning _2AGROVOC _911157 |
|
650 | 7 |
_aYields _2AGROVOC _91313 |
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650 | 7 |
_aRusts _2AGROVOC _91251 |
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651 | 7 |
_aEurope _2AGROVOC _94645 |
|
700 | 1 |
_aWilderspin, S. _934406 |
|
700 | 1 |
_aHubbard, A. _96069 |
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700 | 1 |
_aNellist, C.F. _934407 |
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700 | 1 |
_aMortensen, A.K. _934409 |
|
700 | 1 |
_aSchulz, P. _934410 |
|
700 | 1 |
_aHuerta-Espino, J. _gGlobal Wheat Program _8CHUE01 _9397 |
|
700 | 1 |
_aSingh, R.P. _gGlobal Wheat Program _8INT0610 _9825 |
|
700 | 1 |
_aSorensen, C.K. _95016 |
|
773 | 0 |
_tEuphytica _gv. 220, no. 7, art. 107 _dDordrecht (Netherlands) : Springer Netherlands, 2024. _x0014-2336 _wu444298 |
|
856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/34605 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c67650 _d67642 |