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1.
亚种间杂交稻颖花受精率与温度的相关性及模型分析 总被引:8,自引:1,他引:8
分析了籼粳杂种、中间型杂种、籼稻和粳稻4种类型水稻15个品种2年分期播种的观测结果,结合对应的逐日气象资料,探讨了温湿度等气象因子对亚种间杂交稻受精率的影响规律,证实了亚种间杂交稻的受精率及其稳定性一般低于籼稻和粳稻.在温度、湿度、日照的11项气象因子中,探明温度是影响受精率的主要气象因子,且以盛花前后5~7 d的日均温影响最大.建立了4种水稻受精率-温度拟合模型,计算出亚种间杂交稻的受精最适温度和安全温度分别为28.2~29.3和23.4~24.3 ℃,比籼稻和粳稻的平均值分别高2.2和1.5 ℃.用旬平均气温24~25 ℃作为亚种间杂交稻的安全齐穗期温度指标分析表明,亚种间杂交稻的安全齐穗期在华南双季稻区为9月下旬~10月上旬,长江中下游稻区提前至9月上旬,江淮一季稻区则在8月下旬~9月上旬. 相似文献
2.
The combination of the KitW or KitW-n mutant alleles and KitS from Mus spretus results in male hybrid sterility with small testes. In the present study, reproduction of the combination between KitW-v and KitS alleles was examined. The KitW-v/KitS male was fertile and the histologic structure was normal; the seminiferous tubules showed all of the normal stages of spermatogenesis. The postnatal development of the testis at 8, 12, 16 and 20 days was also studied in the fertile +Kit/+Kit and KitW-v/KitS males and the sterile KitW/KitS. The results showed that at 8 days there was no noticeable difference among the three genotype combinations, while from 12 to 20 days spermatogenesis in the KitW/KitS male nearly stopped before the meiosis stage. The expression of Kit receptor protein from the KitS allele in the sterile testis of the KitW/KitS male was confirmed using western blot analysis. The Kit ligand derived from M. spretus showed two amino acid changes in the extracellular domain compared with that from C57BL and it appears that the ligand-receptor interaction between C57BL and SPR may influence the male hybrid sterility of KitW/KitS. 相似文献
3.
Ragavendran Abbai Vikas Kumar Singh Vishnu Varthini Nachimuthu Pallavi Sinha Ramchander Selvaraj Abhilash Kumar Vipparla Arun Kumar Singh Uma Maheshwar Singh Rajeev K. Varshney Arvind Kumar 《Plant biotechnology journal》2019,17(8):1612-1622
Though several genes governing various major traits have been reported in rice, their superior haplotype combinations for developing ideal variety remains elusive. In this study, haplotype analysis of 120 previously functionally characterized genes, influencing grain yield (87 genes) and grain quality (33 genes) revealed significant variations in the 3K rice genome (RG) panel. For selected genes, meta‐expression analysis using already available datasets along with co‐expression network provided insights at systems level. Also, we conducted candidate gene based association study for the 120 genes and identified 21 strongly associated genes governing 10‐grain yield and quality traits. We report superior haplotypes upon phenotyping the subset of 3K RG panel, SD1‐H8 with haplotype frequency (HF) of 30.13% in 3K RG panel, MOC1‐H9 (HF: 23.08%), IPA1‐H14 (HF: 6.64%), DEP3‐H2 (HF: 5.59%), DEP1‐H2 (HF: 37.53%), SP1‐H3 (HF: 5.05%), LAX1‐H5 (HF: 1.56%), LP‐H13 (3.64%), OSH1‐H4 (5.52%), PHD1‐H14 (HF: 15.21%), AGO7‐H15 (HF: 3.33%), ROC5‐H2 (31.42%), RSR1‐H8 (HF: 4.20%) and OsNAS3‐H2 (HF: 1.00%). For heading date, Ghd7‐H8 (HF: 3.08%), TOB1‐H10 (HF: 4.60%) flowered early, Ghd7‐H14 (HF: 42.60%), TRX1‐H9 (HF: 27.97%), OsVIL3‐H14 (HF: 1.72%) for medium duration flowering, while Ghd7‐H6 (HF: 1.65%), SNB‐H9 (HF: 9.35%) were late flowering. GS5‐H4 (HF: 65.84%) attributed slender, GS5‐H5 (HF: 29.00%), GW2‐H2 (HF: 4.13%) were medium slender and GS5‐H9 (HF: 2.15%) for bold grains. Furthermore, haplotype analysis explained possible genetic basis for superiority of selected mega‐varieties. Overall, this study suggests the possibility for developing next‐generation tailor‐made rice with superior haplotype combinations of target genes suiting future food and nutritional demands via haplotype‐based breeding. 相似文献