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This study was conducted to determine whether quantitative trait loci (QTL) controlling traits of agronomic importance detected in recombinant inbred lines (RILs) are also expressed in testcross (TC) hybrids of rice. A genetic map was constructed using an RIL population derived from a cross between B5 and Minghui 63, a parent of the most widely grown hybrid(More)
Brown planthopper (BPH) is the most damaging rice pest globally. Resistant varieties are the most effective and environmental strategy for protecting the rice crop from BPH. Functional markers (FMs) designed from polymorphic sites within gene sequences affecting phenotypic variation are highly efficient when used for marker assisted selection (MAS). Bph14(More)
MicroRNAs (miRNAs) are a group of small RNAs involved in various biological processes through negative regulation of mRNAs at the post-transcriptional level. The brown planthopper (BPH), Nilaparvata lugens (Stål), is one of the most serious and destructive insect pests of rice. In the present study, two small RNA libraries of virulent N. lugens populations(More)
BACKGROUND To analyze the characteristic performance of magnetic resonance spectroscopy (MRS) and susceptibility weighted imaging (SWI) in cerebral alveolar echinococcosis (CAE). METHODS We retrospectively analyzed 10 clinical-identified CAE cases MR performance, and summarized the MRS and SWI performance of CAE. RESULTS The 10 cases of CAE all had the(More)
Chongqing mountain citrus orchard is one of the main origins of Chinese citrus. Its planting terrain is complex and soil parent material is diverse. Currently, the citrus fertilization, irrigation and other management processes still have great blindness. They usually use the same pattern and the same formula rather than considering the orchard terrain(More)
Association rules mining has been under great attention and considered as one of momentous area in data mining. Classical association rules mining approaches make implicit assumption that items' importance is the same and set a single support for all items. This paper presents an efficient approach for mining users' interest weighted frequent patterns from(More)
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