[Index screening and comprehensive evaluation of phenotypic traits of low nitrogen tolerance using BILs population derived from Dongxiang wild rice (Oryza rufipogon Griff)].

To identify the low nitrogen tolerance of Dongxiang wild rice (DXWR) and its progenies, ten phenotypic traits including plant height (PH), heading day (HD), panicle length (PL), number of effective tillers per plant (NETP), number of filled grains per panicle (NFGP), number of grains per panicle (NGP), grain density (GD), spikelet fertility (SF), 1000-grain mass (TGM) and grain yield per plant (GYP) were studied under normal and low nitrogen treatments, using backcross inbred lines (BILs) of Xieqingzao B//DXWR/Xieqingzao B in BC1 F12. Comprehensive evaluation on the low nitrogen tolerance of the BILs population was conducted using principal component analysis and the subordinate function. The evaluation results indicated that the low nitrogen tolerance of the line 116, 143 and 157 was the strongest, which could be served as the intermediate materials for genetic studies on the low nitrogen tolerance of DXWR and breeding for the low nitrogen tolerance in rice. The optimal regression equation of the low nitrogen tolerance in rice was established using stepwise regression analysis. The relative values of five traits including PH, NGP, SF, TGM and GYP were screened out and could be used as comprehensive evaluation indices for the low nitrogen tolerance in the whole growth stage. Therefore, more attention should be paid to the relative values of these five traits, especially for NGP and GYP, in the genetic improvement of the low nitrogen tolerance in rice.

Screening of candidate genes and fine mapping of drought tolerance quantitative trait loci on chromosome 4 in rice (Oryza sativa L.) under drought stress.

Due to severe water resource shortage, genetics of and breeding for DT (drought tolerance) in rice (Oryza sativa L.) have become one of the hot research topics. Identification of grain yield QTLs (quantitative trait loci) directly related to the DT trait of rice can provide useful information for breeding new drought-resistant and water-saving rice varieties via marker-assisted selection. A population of 105 advanced BILs (backcross introgression lines) derived from a cross between Zhenshan97B and IRAT109 in Zhenshan97B background were grown under drought stress in a field experiment and phenotypic traits were investigated. The results showed that in the target interval of RM273-RM255 on chromosome 4, three main-effect QTLs related to panicle length, panicle number, and spikelet number per panicle were identified (LOD [logarithm of the odds] > 2.0). The panicle length-related QTL had two loci located in the neighboring intervals of RM17308-RM17305 and RM17349-RM17190, which explained 18.80% and 20.42%, respectively, of the phenotypic variation, while the panicle number-related QTL was identified in the interval of RM1354-RM17308, explaining 11.47% of the phenotypic variation. As far as the spikelet number per panicle-related QTL was concerned, it was found to be located in the interval of RM17308-RM17305, which explained 28.08% of the phenotypic variation. Using the online Plant-GE query system, a total of 13 matched ESTs (expressed sequence tags) were found in the target region, and of the 13 ESTs, 12 had corresponding predicted genes. For instance, the two ESTs CB096766 and CA765747 were corresponded to the same predicted gene LOC_Os04g46370, while the other four ESTs, CA754286, CB000011, CX056247, and CX056240, were corresponded to the same predicted gene LOC_Os04g46390.