000 | 02855nab|a22003977a|4500 | ||
---|---|---|---|
999 |
_c61793 _d61785 |
||
001 | 61793 | ||
003 | MX-TxCIM | ||
005 | 20211006075155.0 | ||
008 | 200503s2012||||ne |||p|op||||00||0|eng|d | ||
022 | _a2095-3119 | ||
024 | 8 | _ahttps://doi.org/10.1016/S2095-3119(12)60020-3 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 0 |
_aLi-rui Cheng _912773 |
|
245 | 1 | 0 | _aGenetic analysis of cold tolerance at seedling stage and heat tolerance at anthesis in rice (Oryza sativa L.) |
260 |
_aNetherlands : _bElsevier, _c2012. |
||
500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aA set of 240 introgression lines derived from the advanced backcross population of a cross between a japonica cultivar, Xiushui 09, and an indica breeding line, IR2061, was developed to dissect QTLs affecting cold tolerance (CT) at seedling stage and heat tolerance (HT) at anthesis. Survival rate of seedlings (SRS) and spikelet fertility (SF), the index traits of CT and HT, showed significant differences between the two parents under stresses. A total of four QTLs (qSRS1, qSRS7, qSRS11a and qSRS11b) for CT were identified on chromosomes 1, 7, 11, and the Xiushui 09 alleles increased SRS at all loci except qSRS7. Four QTLs for SF were identified on chromosomes 4, 5, 6, and 11. These QTLs could be classified into two major types based on their behaviors under normal and stress conditions. The first was QTL expressed only under normal condition; and the second QTL was apparently stress induced and only expressed under stress. Among them, two QTLs (qSF4 and qSF6) which reduced the trait difference between heat stress and normal conditions must have contributed to HT because of their obvious contribution to trait stability, and the IR2061 allele at the qSF6 and the Xiushui 09 allele at the qSF4 improved HT, respectively. No similar QTL was found between CT at seedling stage and HT at anthesis. Therefore, it is possible to breed a new variety with CT and HT by pyramiding the favorable CT- and HT-improved alleles at above loci from Xiushui 09 and IR2061, respectively, through marker-assisted selection (MAS). | ||
546 | _aText in English | ||
650 | 7 |
_2AGROVOC _912774 _aCold tolerance |
|
650 | 7 |
_2AGROVOC _91972 _aHeat tolerance |
|
650 | 7 |
_2AGROVOC _91853 _aQuantitative Trait Loci |
|
650 | 7 |
_aRice _gAGROVOC _2 _91243 |
|
700 | 0 |
_912775 _aJun-min Wang |
|
700 | 1 |
_912776 _aUzokwe, V. |
|
700 | 1 |
_912777 _aLi-jun Meng |
|
700 | 0 |
_912778 _aYun Wang |
|
700 | 0 |
_912779 _aYong Sun |
|
700 | 0 |
_912780 _aLing-hua Zhu |
|
700 | 0 |
_912781 _aJian-long Xu |
|
700 | 0 |
_96999 _aZhikang Li |
|
773 | 0 |
_tJournal of Integrative Agriculture _gv. 11, no. 3, p. 359-367 _dNetherlands : Elsevier, 2012. _x2095-3119 _wu56517 |
|
856 | 4 |
_uhttps://doi.org/10.1016/S2095-3119(12)60020-3 _yClick here to access online |
|
942 |
_cJA _n0 _2ddc |