000 | 02785nab a22004457a 4500 | ||
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999 |
_c59419 _d59411 |
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001 | 59419 | ||
003 | MX-TxCIM | ||
005 | 20240410214820.0 | ||
008 | 180416s2017 xxu|||p| p||| 00| 0 eng d | ||
024 | 8 | _ahttps://doi.org/10.1111/jipb.12597 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aChangbin Yin _91377 |
|
245 | 1 | 0 | _aGenetic dissection of top three leaf traits in rice using progenies from a japonica × indica cross |
260 |
_aOxford : _bWiley-Blackwell, _c2017. |
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500 | _aPeer review | ||
520 | _aThe size of the top three leaves of rice plants is strongly associated with yield; thus, it is important to consider quantitative traits representing leaf size (e.g., length and width) when breeding novel rice varieties. It is challenging to measure such traits on a large scale in the field, and little is known about the genetic factors that determine the size of the top three leaves. In the present study, a population of recombinant inbred lines (RILs) and reciprocal single chromosomal segment substitution lines (SSSLs) derived from the progeny of a japonica Asominori × indica IR24 cross were grown under four diverse environmental conditions. Six morphological traits associated with leaf size were measured, namely length and flag leaf, length and flag, second and third leaves. In the RIL population, 49 QTLs were identified that clustered in 30 genomic region. Twenty‐three of these QTLs were confirmed in the SSSL population. A comparison with previously reported genes/QTLs revealed eight novel genomic regions that contained uncharacterized ORFs associated with leaf size. The QTLs identified in this study can be used for marker‐assisted breeding and for fine mapping of novel genetic elements controlling leaf size in rice. | ||
546 | _aText in English | ||
591 |
_aHuihui Li : No CIMMYT Affiliation _aJiankang Wang : No CIMMYT Affiliation |
||
650 | 7 |
_91130 _aGenetics _2AGROVOC |
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650 | 7 |
_aRice _gAGROVOC _2 _91243 |
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650 | 7 |
_96973 _aCrossbreds _2AGROVOC |
|
700 | 0 |
_9764 _aHuihui Li _gGenetic Resources Program _8CLIH01 |
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700 | 0 |
_96974 _a Zhigang Zhao |
|
700 | 0 |
_96975 _a Zhiquan Wang |
|
700 | 0 |
_96976 _aShijia Liu |
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700 | 0 |
_96977 _a Liangming Chen |
|
700 | 0 |
_96978 _aXi Liu |
|
700 | 0 |
_96979 _a Yunlu Tian |
|
700 | 1 |
_91369 _aMa, J. |
|
700 | 1 |
_91379 _aXu, L. |
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700 | 0 |
_96980 _aDashuang Zhang |
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700 | 0 |
_96981 _aSusong Zhu |
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700 | 0 |
_96982 _aDanting Li |
|
700 | 0 |
_94655 _aJianmin Wan |
|
700 | 0 |
_8INT2542 _9842 _aJiankang Wang _gGenetic Resources Program |
|
773 | 0 |
_gv. 59, no. 12, p. 866-880 _tJournal of integrative plant biology _wu56920 _x1744-7909 (Online) |
|
856 | 4 |
_yAccess only for CIMMYT Staff _uhttp://libcatalog.cimmyt.org/Download/reprints/59419.pdf |
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942 |
_2ddc _cJA |