Search

A major and stable QTL cQSGR.sau.3D, which can explain 33.25% of the phenotypic variation in SGR, was mapped and validated, and cQSGR.sau.3D was found to be independent of GI. In this study, a recombinant inbred line (RIL) population containing 304 lines derived from the cross of Chuan-nong17 (CN17) and Chuan-nong11 (CN11) was genotyped using the Wheat55K single-nucleotide polymorphism array. A high-density genetic map consisting of 8329 markers spanning 4131.54 cM and distributed across 21 wheat chromosomes was constructed. QTLs for whole spike germination rate (SGR) were identified in multiple years. Six and fourteen QTLs were identified using the Inclusive Composite Interval Mapping-Biparental Populations and Multi-Environment Trial methods, respectively. A total of 106 digenic epistatic QTLs were also detected in this study. One of the additive QTLs, cQSGR.sau.3D, which was mapped in the region from 3.5 to 4.5 cM from linkage group 3D-2 on chromosome 3D, can explain 33.25% of the phenotypic variation in SGR and be considered a major and stable QTL for SGR. This QTL was independent of the seeds' germination traits, such as germination index. One Kompetitive Allele-Specific PCR (KASP) marker, KASP-AX-110772653, which is tightly linked to cQSGR.sau.3D, was developed. The genetic effect of cQSGR.sau.3D on SGR in the RIL and natural populations was successfully confirmed. Furthermore, within the interval in which cQSGR.sau.3D is located in Chinese Spring reference genomes, thirty-seven genes were found. cQSGR.sau.3D may provide new resources for pre-harvest sprouting resistance breeding of wheat in the future.

Stripe rust (caused by Puccinia striiformis f. sp. tritici) is one of the most severe diseases for wheat production. An important method to improve the stripe rust resistance of wheat is to introduce resistance genes from related species into the wheat genome. The 1RS.1BL wheat–rye translocation from Petkus rye has contributed substantially to wheat resistance breeding worldwide. However, given the breakdown of the stripe rust resistance gene Yr9 in 1RS, its importance for wheat improvement has decreased. In this study, we developed 166 new primary 1RS.1BL translocation lines by crossing rye varieties Weining, Baili, and Aigan with several wheat cultivars. Cytogenetic and molecular analyses indicated that all of these lines contained a pair of intact 1RS.1BL translocation chromosomes. The stripe rust resistance of these translocation lines and their wheat parents was evaluated in southwestern China during the severe stripe rust epidemics in 2015 and 2021. The results showed diverse effects of the 1RS.1BL translocations from different rye cultivars on resistance to stripe rust. The highest genetic diversity was observed in 1RS.1BL translocations derived from diverse rye varieties but in the same wheat background. The development of diverse 1RS.1BL translocation lines offers ample opportunities to introduce new variations into wheat for improving stripe rust resistance. Finally, 71 new translocation lines, including nine developed from the cross of MY11 × Aigan, four from MY11 × Baili, 40 from MY11 × Weining, 14 from A42912 × Baili, and four from A42912 × Weining. These lines showed consistent resistance to stripe rust in fields under frequent changes of the pathogen races and could be useful genetic stocks for breeding wheat cultivars with resistance to stripe rust.

This study identified QTLs associated with the functional stay green trait by a high-density genetic map. Two large effect QTLs, QSg.sau-2B.1 and QSg.sau-6A.2, were identified in multiple years and one of them was successfully validated. The functional stay green phenotype enables wheat to acclimate to stressful environments and prolongs the effectiveness of photosynthesis during the end-of-crop season. Despite the fact that stay green mutants in wheat have been reported, our knowledge of loci for the functional stay green trait remains limited. In this study, an RIL population containing 371 lines genotyped using the Wheat55K SNP array was used to map QTLs controlling the functional stay green trait in multiple years. In total, 21 and 19 QTLs were mapped using the BIP or MET modules of the ICIM method, respectively. Among them, two QTLs, QSg.sau-2B.1 and QSg.sau-6A.2, were considered large effect QTLs for the stay green trait and explained 11.43% and 15.27% of phenotypic variation on average, respectively. Two KASP markers were developed and tightly linked to QSg.sau-2B.1 and QSg.sau-6A.2, respectively, and the genetic effects of different genotypes in the RIL population were successfully confirmed. QSg.sau-2B.1 was also validated by linked KASP marker in different genetic backgrounds. QSg.sau-2B.1 and QSg.sau-6A.2 may influence heredity of the stay green trait and also exhibited a positive effect on the grain filling content. In the interval where QSg.sau-2B.1 and QSg.sau-6A.2 were located on the Chinese Spring and T. turgidum ssp. dicoccoides reference genomes, several genes associated with the leaf senescence process were identified. Altogether, our results identified two QTLs associated with the functional stay green trait and will be useful for the fine mapping and cloning of genes for stay green in the future.

This paper presents a rare study on ethnic identity and perception of psychological differences among different ethnic groups in China. The objective is to offer an empirical test on the long standing stereotypes of cultural differences between Han Chinese, the majority ethnic group in China, and Uyghur Chinese, the Muslim minority in Xinjiang region of China. A total of 1600 students from four Chinese universities have been selected and examined in aspects ranging from self-esteems to desires for cross-cultural communication, and the result shows that the psychological differences between Han Chinese and Uyghur Chinese are considered by the majority of the students from these two groups to be great, which, however, are actually even smaller than the differences among different Han Chinese majority groups. What¡¯s more, contrary to the popular belief that economic discrepancy between Han and Uyghur Chinese is the main cause of ethnic misconceptions, our study demonstrates that self-perception of economic status has no effect on psychological measurements over this subject. Finally, a question can be raised whether assumptions about cultural differences are still in line with the constant social economic changes in China, and implications for improving ethnical relations in China have also been provided.