| 000 | 02892nab a22004337a 4500 | ||
|---|---|---|---|
| 001 | G90417 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919020946.0 | ||
| 008 | 210927s2008 xxk|||p|op||| 00| 0 eng d | ||
| 022 | _a1439-0523 (Online) | ||
| 022 | _a0179-9541 | ||
| 024 | 8 | _ahttps://doi.org/10.1111/j.1439-0523.2007.01484.x | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-5273 | ||
| 100 | 1 |
_aOrtiz, R. _9244 |
|
| 245 | 1 | 0 | _aCombining ability and heterosis under pest epidemics in a broad-based global wheat-breeding population |
| 260 |
_aUnited Kingdom : _bWiley, _c2008. |
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| 340 | _aComputer File|Printed | ||
| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0179-9541 | ||
| 520 | _aWheat breeders rarely apply population improvement schemes or select parental sources according to combining ability and heterotic patterns. They rely on pedigree selection methods for breeding new cultivars. This experiment was undertaken to assess the advantages of using diallel crosses to define combining ability and understand heterosis in a broad-based wheat-breeding population across different environments affected by yellow rust. Sixty-four genotypes derived from a full diallel mating scheme were assessed for grain yield in two contrasting growing seasons at two locations for two consecutive years. Parental genotypes showed significant combining ability for grain yield that was affected by yellow rust and genotype-by-environment (GE) interactions, both of which affected heterosis for grain yield. Significant GE interactions suggested that decentralized selection for specific environments could maximize the use of this wheat germplasm. Cultivar effects and specific heterosis were the most important factors influencing grain yield. Some crosses capitalized on additive genetic variation for grain yield. This research shows the power of available quantitative breeding tools to help breeders choose parental sources in a population improvement programme. | ||
| 536 | _aGenetic Resources Program | ||
| 546 | _aText in English | ||
| 591 | _aJohn Wiley | ||
| 594 | _aCCJL01 | ||
| 650 | 7 |
_91296 _aTriticum aestivum _2AGROVOC |
|
| 650 | 7 |
_94687 _aDiallel analysis _2AGROVOC |
|
| 650 | 7 |
_91133 _aGenotype environment interaction _2AGROVOC |
|
| 650 | 7 |
_91233 _aQuantitative genetics _2AGROVOC |
|
| 650 | 7 |
_91251 _aRusts _2AGROVOC |
|
| 700 | 1 |
_aWagoire, W.W. _923349 |
|
| 700 | 1 |
_aStolen, O. _9324 |
|
| 700 | 1 |
_aAlvarado Beltrán, G. _8N1202289 _91935 _gGenetic Resources Program |
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| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
| 773 | 0 |
_tPlant Breeding _n635171 _gv. 127, no. 3, p. 222-227 _dUnited Kingdom : Wiley, 2008. _wG445212 _x1439-0523 |
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| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1477 |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c26982 _d26982 |
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