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[Objective] The present paper aimed to clarify the distribution of rice blast resistance genes Pib, Pi9, Pi2, Pi54 and Pish in Japonica rice varieties (lines) and the resistance levels of different genotype to rice blast. [Method] A total of 93 rice materials were assessed by artificial inoculation and screening of molecular markers tightly linked to 5 major resistance genes. [Result] Three, two and one resistance genes were found in 19 (20. 4%), 25 (26. 9%) and 28 (30. 1%) materials, respectively, and five resistance genes corresponding to markers were found in all varieties (lines). There were 49 (52. 7%), 16 (17. 2%), 8 (8. 6%), 31 (33. 3%) and 31 varieties (lines) (33. 3%) containing rice blast resistance gene Pib, Pi9, Pi2, Pi54 and Pish in 93 varieties (lines), and the genetic frequency of Pib was the highest within this collection. A total of six genotypes and gene combinations (Pi9, Pi54, Pib + Pi9, Pib + Pi2, Pib + Pish and Pi9 + Pi54) are applicable in the rice-breeding, due to the resistance to rice blast but with low distribution in the tested varieties (lines). [Conclution] The study provided a scientific basis for breeding rice cultivars with rice blast-resistance. [ABSTRACT FROM AUTHOR]

As a new type of aerospace structure，flexible inflatable space structure has attracted more and more attention in the aerospace field such as air lock cabin and space residence cabin. Intelligent damage identification for such structures is of great significance for deep space and interstellar detection. Therefore，a real-time damage monitoring technology for space inflatable structures based on distributed optical fiber sensors is proposed in the paper. With the help of ANSYS finite element analysis method，the strain response and distribution law of the structure with cracks under internal pressure are obtained by numerical simulation. On the basis，a distributed fiber Bragg grating sensing system is arranged on the surface of the flexible inflatable structure braided by aramid fibers to collect real-time information of the surface strain distribution and change of the inflatable structure corresponding to different locations and degrees of damage. The identification parameters which characterize the crack characteristics of structures are extracted，and the corresponding relationship model between the strain response difference of sensors and the crack damage length is established to locate the crack damage area and identify the damage length. Results show that the proposed method has the advantages of non - visual measurement，good real - time performance and multi - function reuse，and can provide technical support for service state identification and on -orbit maintenance of space flexible inflatable structures in the future. [ABSTRACT FROM AUTHOR]