[Objective] In order to study the effects of brassinosteroid on salinity toler- ance of cotton. [Method] Three application modes （leaf application, root application and leaf/root application） of brassinosteroid for ...[Objective] In order to study the effects of brassinosteroid on salinity toler- ance of cotton. [Method] Three application modes （leaf application, root application and leaf/root application） of brassinosteroid for cotton under NaCI stress were de- signed to understand the effects of brassinosteroid on Na＋ and CI- accumulation, osmotic adjustment substance （proline） and biomass accumulation of cotton under NaCI stress. [Result] NaCI inhibited the growth of cotton seedlings. Compared with the control group, the biomass of cotton seedlings was decreased, Na＋ and CI- contents, MDA content and proline content were increased in cotton under NaCI stress. Under the NaCI stress, three application modes of brassinosteroid significant- ly improved the biomass, chlorophyll content in leaves, root activity and proline content; while Na~ and CI- content, MDA content were decreased. The enhancement of root activity and root physiological functions were more marked in root application and leaf/root application treatments than in leaf/root application treatment. [Conclu- sion] Three application modes of brassinosteroid all could alleviate the NaCI injuries on cotton, but root application and root/leaf application modes of brassinosteroid for cotton under NaCI stress are superior to the leaf application.展开更多
Motivation: It was found that high accuracy splicing-site recognitio n of rice (Oryza sativa L.) DNA sequence is especially difficult. We describe d a new method for the splicing-site recognition of rice DNA sequences...Motivation: It was found that high accuracy splicing-site recognitio n of rice (Oryza sativa L.) DNA sequence is especially difficult. We describe d a new method for the splicing-site recognition of rice DNA sequences. Method: Bas e d on the intron in eukaryotic organisms conforming to the principle of GT-AG,w e used support vector machines (SVM) to predict the splicing sites. By machine l earning,we built a model and used it to test the effect of the test data set of true and pseudo splicing sites. Results: The prediction accuracy we obtained wa s 87.53% at the true 5' end splicing site and 87.37% at the true 3' end splicing sites. The results suggested that the SVM approach could achieve higher accuracy than the previous approaches.展开更多
基金Supported by National Science Foundation of China(31201139)National R&D Project of Transgenic Crops of Ministry of Science and Technology of China(2011ZX08005001)Fund for Independent Innovation of Agricultural Sciences in Jiangsu Province(CX(14)2065)~~
文摘[Objective] In order to study the effects of brassinosteroid on salinity toler- ance of cotton. [Method] Three application modes （leaf application, root application and leaf/root application） of brassinosteroid for cotton under NaCI stress were de- signed to understand the effects of brassinosteroid on Na＋ and CI- accumulation, osmotic adjustment substance （proline） and biomass accumulation of cotton under NaCI stress. [Result] NaCI inhibited the growth of cotton seedlings. Compared with the control group, the biomass of cotton seedlings was decreased, Na＋ and CI- contents, MDA content and proline content were increased in cotton under NaCI stress. Under the NaCI stress, three application modes of brassinosteroid significant- ly improved the biomass, chlorophyll content in leaves, root activity and proline content; while Na~ and CI- content, MDA content were decreased. The enhancement of root activity and root physiological functions were more marked in root application and leaf/root application treatments than in leaf/root application treatment. [Conclu- sion] Three application modes of brassinosteroid all could alleviate the NaCI injuries on cotton, but root application and root/leaf application modes of brassinosteroid for cotton under NaCI stress are superior to the leaf application.
文摘Motivation: It was found that high accuracy splicing-site recognitio n of rice (Oryza sativa L.) DNA sequence is especially difficult. We describe d a new method for the splicing-site recognition of rice DNA sequences. Method: Bas e d on the intron in eukaryotic organisms conforming to the principle of GT-AG,w e used support vector machines (SVM) to predict the splicing sites. By machine l earning,we built a model and used it to test the effect of the test data set of true and pseudo splicing sites. Results: The prediction accuracy we obtained wa s 87.53% at the true 5' end splicing site and 87.37% at the true 3' end splicing sites. The results suggested that the SVM approach could achieve higher accuracy than the previous approaches.
