To detect the leaf rust resistance genes in the 7 Chinese spring wheat clultivars Shenmian 99025, Shenmia 99042, Shenmian 85, Shenmian 91, Shenmian 96, Shenmian 1167 and Shenmian 962, Thatcher, Thatcher backgrounded n...To detect the leaf rust resistance genes in the 7 Chinese spring wheat clultivars Shenmian 99025, Shenmia 99042, Shenmian 85, Shenmian 91, Shenmian 96, Shenmian 1167 and Shenmian 962, Thatcher, Thatcher backgrounded near-isogenic lines and 15 pathotypes of P. triticina were used for gene postulate at the seedling stage, and 9 of the 15 pathotypes were used in the field tests. Molecular markers closely linked to, or co-segregated with resistance genes Lrl, Lr9, LrlO, Lrl9, Lr20, Lr21, Lr24, Lr26, Lr28, Lr29, Lr32, Lr34, Lr35, Lr37, Lr38, and Lr47 were screened to assist detection of the resistance genes. As results, 4 known resistance genes, including Lrl, Lr9, Lr26, and Lr34, and other unknown resistance genes were postulated singly or in combination in the tested cultivars. Shenmian 85, Shenmian 91, Shenmian 96, Shenmian 962, Shenmian 1167, and Shenmian 99042 are potentially useful for wheat production and breeding programs. The result suggested that combining gene postulation, molecular markers and pedigrees is effective and more accuracy method to know the resistance genes in cultivars.展开更多
In this paper the application of spatialization technology on metadata quality check and updating was dis-cussed. A new method based on spatialization was proposed for checking and updating metadata to overcome the de...In this paper the application of spatialization technology on metadata quality check and updating was dis-cussed. A new method based on spatialization was proposed for checking and updating metadata to overcome the defi-ciency of text based methods with the powerful functions of spatial query and analysis provided by GIS software. Thismethod employs the technology of spatialization to transform metadata into a coordinate space and the functions ofspatial analysis in GIS to check and update spatial metadata in a visual environment. The basic principle and technicalflow of this method were explained in detail, and an example of implementation using ArcMap of GIS software wasillustrated with a metadata set of digital raster maps. The result shows the new method with the support of interactionof graph and text is much more intuitive and convenient than the ordinary text based method, and can fully utilize thefunctions of GIS spatial query and analysis with more accuracy and efficiency.展开更多
Potassium loss due to runoff and leaching, crop uptake, and K-fertilizer input, irrigation and wet deposition was studied, subsequently potassium balance characteristics was analyzed using lysimeter modeled two typica...Potassium loss due to runoff and leaching, crop uptake, and K-fertilizer input, irrigation and wet deposition was studied, subsequently potassium balance characteristics was analyzed using lysimeter modeled two typical paddy soils from double rice field in Dongting Lake area. K losses due to runoff and leaching in Alluvial Sandy Loamy Paddy Soil （ASL） with lower cation exchange content （CEC） and clayey granule content were increased significantly compared with those in Reddish Yellow Loamy Paddy Soil （RYL） with higher CEC and clayey granule content. Compared with RYL, lower economic and biological yield due to lower capacity of nutrient and water keeping in ASL resulted in lower K uptake. So potassium deficit in double rice field of RYL was more serious than that of ASL because main K proportion was accounted by crop uptake. Available K in soil of surface layer （0-15 cm） was decreased significantly due to long term nutrient management of K deficit in double rice field. The straw return paddy field was suggested as an effective way to increase soil K and balance K deficit in double rice field because large amount of potassium was enriched in rice straw at harvest.展开更多
基金support by the Special Fund for Agro-Scientific Research in the Public Interest, China (200903035)the National Key Basic Research Program of China (2013CB127700)
文摘To detect the leaf rust resistance genes in the 7 Chinese spring wheat clultivars Shenmian 99025, Shenmia 99042, Shenmian 85, Shenmian 91, Shenmian 96, Shenmian 1167 and Shenmian 962, Thatcher, Thatcher backgrounded near-isogenic lines and 15 pathotypes of P. triticina were used for gene postulate at the seedling stage, and 9 of the 15 pathotypes were used in the field tests. Molecular markers closely linked to, or co-segregated with resistance genes Lrl, Lr9, LrlO, Lrl9, Lr20, Lr21, Lr24, Lr26, Lr28, Lr29, Lr32, Lr34, Lr35, Lr37, Lr38, and Lr47 were screened to assist detection of the resistance genes. As results, 4 known resistance genes, including Lrl, Lr9, Lr26, and Lr34, and other unknown resistance genes were postulated singly or in combination in the tested cultivars. Shenmian 85, Shenmian 91, Shenmian 96, Shenmian 962, Shenmian 1167, and Shenmian 99042 are potentially useful for wheat production and breeding programs. The result suggested that combining gene postulation, molecular markers and pedigrees is effective and more accuracy method to know the resistance genes in cultivars.
基金Project 40301042 supported by Natural Science Foundation of China
文摘In this paper the application of spatialization technology on metadata quality check and updating was dis-cussed. A new method based on spatialization was proposed for checking and updating metadata to overcome the defi-ciency of text based methods with the powerful functions of spatial query and analysis provided by GIS software. Thismethod employs the technology of spatialization to transform metadata into a coordinate space and the functions ofspatial analysis in GIS to check and update spatial metadata in a visual environment. The basic principle and technicalflow of this method were explained in detail, and an example of implementation using ArcMap of GIS software wasillustrated with a metadata set of digital raster maps. The result shows the new method with the support of interactionof graph and text is much more intuitive and convenient than the ordinary text based method, and can fully utilize thefunctions of GIS spatial query and analysis with more accuracy and efficiency.
基金Acknowledgements： The work was supported by National Natural Science Foundation （No. 40771200） and by Intemational Plant Nutrition Institute with China Scheme （Canada-Sino Cooperation Project： HN-13）.
文摘Potassium loss due to runoff and leaching, crop uptake, and K-fertilizer input, irrigation and wet deposition was studied, subsequently potassium balance characteristics was analyzed using lysimeter modeled two typical paddy soils from double rice field in Dongting Lake area. K losses due to runoff and leaching in Alluvial Sandy Loamy Paddy Soil （ASL） with lower cation exchange content （CEC） and clayey granule content were increased significantly compared with those in Reddish Yellow Loamy Paddy Soil （RYL） with higher CEC and clayey granule content. Compared with RYL, lower economic and biological yield due to lower capacity of nutrient and water keeping in ASL resulted in lower K uptake. So potassium deficit in double rice field of RYL was more serious than that of ASL because main K proportion was accounted by crop uptake. Available K in soil of surface layer （0-15 cm） was decreased significantly due to long term nutrient management of K deficit in double rice field. The straw return paddy field was suggested as an effective way to increase soil K and balance K deficit in double rice field because large amount of potassium was enriched in rice straw at harvest.
