Low temperature or cold stress is one of the major constraints of rice production and productivity in temperate rice-growing countries and high-altitude areas in the tropics. Even though low temperature affects the rice plant in all stages of growth, the percent seed set is damaged severely by cold and this reduces the yield potential of cultivars significantly. In this study, a new source of cold-tolerant line, IR66160-121-4-4-2, was used as a donor parent with a cold-sensitive cultivar, Geumobyeo, to produce 153 F(8) recombinant inbred lines (RILs) for quantitative trait locus (QTL) analysis. QTL analysis with 175 polymorphic simple sequence repeat (SSR) markers and composite interval mapping identified three main-effect QTLs (qPSST-3, qPSST-7, and qPSST-9) on chromosomes 3, 7, and 9. The SSR markers RM569, RM1377, and RM24545 were linked to the identified QTLs for cold tolerance with respect to percent seed set using cold-water (18-19 degrees C) irrigation in the field and controlled air temperature (17 degrees C) in the greenhouse. The total phenotypic variation for cold tolerance contributed by the three QTLs was 27.4%. RILs with high percent seed set under cold stress were validated with linked DNA markers and by haplotype analysis that revealed the contribution of progenitor genomes from the tropical japonica cultivar Jimbrug (Javanica) and temperate japonica cultivar Shen-Nung89-366. Three QTLs contributed by the cold-tolerant parent were identified which showed additive effect on percent seed set under cold treatment. This study demonstrated the utility of a new phenotyping method as well as the identification of SSR markers associated with QTLs for selection of cold-tolerant genotypes to improve temperate rice production.
A quantitative trait locus (QTL) analysis was carried out with a recombinant inbred line (RIL) population to identify the chromosomal regions responsible for cold tolerance of rice (Oryza sativa L.). The RIL population, consisting of 80 lines, was developed from a cross between the indica cultivar, Milyang 23 and the japonica weedy rice, Hapcheonaengmi 3. The population was genotyped with 2 morphological and 132 DNA markers, providing an average interval size of 11.3 cM, and was also evaluated for traits related to agricultural performance in cold water and in control plots. The RILs showed delayed heading and reduced culm length in the cold water plot and the differences in heading date and culm length between two plots were statistically significant. Cold tolerance was measured as days to heading, culm length, spikelet fertility, leaf discoloration, and panicle exsertion in the cold water plot, and difference in days to heading and the reduction ratio of culm length between two plots. A total of 14 QTLs for 7 traits were identified using single point and composite interval analysis. The number of QTLs per trait ranged from one to three. Phenotypic variation associated with each QTL ranged from 5.8 to 32.8 %. No digenic interaction was detected. Several QTLs associated with cold tolerance were clustered in a few chromosomal blocks. For 11 (78.6 %) of the QTLs identified in this study, the Hapcheonaengmi 3-derived alleles contributed desirable effects and favorable alleles were detected for difference in days to heading, spikelet fertility, panicle exsertion and leaf discoloration. From this study, it can be concluded that weedy rice is useful as a source of valuable alleles for breeding cold tolerance in rice.
We propose a model that learns both the sequential and the structural features of code for source code summarization. We adopt the abstract syntax tree (AST) and graph convolution to model the structural information and the Transformer to model the sequential information. We convert code snippets into ASTs and apply graph convolution to obtain structurally-encoded node representations. Then, the sequences of the graphconvolutioned AST nodes are processed by the Transformer layers. Since structurallyneighboring nodes will have similar representations in graph-convolutioned trees, the Transformer layers can effectively capture not only the sequential information but also the structural information such as sentences or blocks of source code. We show that our model outperforms the state-of-the-art for source code summarization by experiments and human evaluations.
As a viable technological option to address today's strong demands for high-performance monolithic low-cost passive components in RF and microwave integrated circuits (ICs), a new CMOS-compatible versatile thick-metal surface micromachining technology has been developed. This technology enables to build arbitrary three-dimensional (3-D) metal microstructures on standard silicon substrate as post-IC processes at low temperature below 120 C. Using this technology, various highly suspended 3-D microstructures have been successfully demonstrated for RF and microwave IC applications. We have demonstrated spiral inductors suspended 100 m over the substrate, coplanar waveguides suspended 50 m over the substrate, and complicated microcoaxial lines, which have 50m-suspended center signal lines surrounded by inclined ground shields of 100 m in height. The microwave performance of the microcoaxial transmission line fabricated on a glass substrate has been evaluated to achieve very low attenuation of 0.03 dB/mm at 10 GHz with an effective dielectric constant of 1.6. The process variation/manufacturability, mechanical stability, and package issues also have been discussed in detail. Index Terms-Coaxial transmission lines, coplanar microstrip lines, high-, inductors, RF and microwave microelectromechanical systems (MEMS), silicon RF integrated circuits (ICs), surface micromachining, three-dimensional (3-D) micromachined passive components.
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