Developing production and operation in scales in the major grain producing areas is the direction of the paper. Seizing the opportunity of modem agriculture comprehensive reform in two plains （Songnen Plain and Sanji...Developing production and operation in scales in the major grain producing areas is the direction of the paper. Seizing the opportunity of modem agriculture comprehensive reform in two plains （Songnen Plain and Sanjiang Plain） of Heilongjiang Province and supporting to build a new type of production and management based on the big grain production householding, which plays demonstration and leading roles, have an important strategic position in improving agricultural comprehensive production capacity and ensuring national food security. In this paper, based on the survey data about the big grain production households production operations and analyses of the obstacles in expansion of production in Heilongjiang Province, specific suggestions in supporting the development of the big grain production household were put forward, such as, increasing agricultural production socialized level; perfecting the service system of land transferring; improving financial policies and farmer-friendly policy measures and perfecting the agriculture socialized service system.展开更多
Grain shape as a major determinant of rice yield and quality is widely believed to be controlled by quantitative trait loci(QTL). We have identified a novel gene 'GS2' to largely regulate grain length and widt...Grain shape as a major determinant of rice yield and quality is widely believed to be controlled by quantitative trait loci(QTL). We have identified a novel gene 'GS2' to largely regulate grain length and width in rice. The GS2 allele in the big-grain rice line ‘CDL’functioned in a dominant manner. In the present study, we employed a chromosome walking strategy in the residual heterozygous lines from recombinant inbred population between cultivar 'R1126' and CDL, and located the GS2 gene in an interval of ~33.2 kb flanked by marker GL2-35-1 and GL2-12 in the long arm of rice chromosome 2. According to genome annotations, three putative gene loci, LOC_Os02g47280, LOC_Os02g47290 and LOC_Os02g47300, exist in this candidate region. In addition, allelic analysis with previously reported genes demonstrated that GS2 was novel for regulating rice grain shape. These results will help promote the cloning and functional characterization of the GS2 gene and further develop linked markers to be used in marker-assisted breeding.展开更多
本研究在资源库中发现了一个大粒品种,暂被命名为big grain 3(bg3)。该品种的千粒重明显高于常规水稻品种。通过遗传分析表明该大粒性状为数量性状。与R28相比,bg3的籽粒长和宽分别增加了36.45%和25.81%,呈极显著增加。利用F2代群体中与...本研究在资源库中发现了一个大粒品种,暂被命名为big grain 3(bg3)。该品种的千粒重明显高于常规水稻品种。通过遗传分析表明该大粒性状为数量性状。与R28相比,bg3的籽粒长和宽分别增加了36.45%和25.81%,呈极显著增加。利用F2代群体中与R28相同粒型的植株提取DNA用于定位主效基因BG3,最终将BG3定位于第二染色体长臂的SSR引物RM1342和RM6之间,其遗传距离分别为0.027 c M和0.033 c M。通过测序比对发现,Os02g47280的第二个外显子有两个碱基的变化,使得BG3的编码提前终止。该结果为后续的研究提供了依据。展开更多
Data quality has exerted important influence over the application of grain big data, so data cleaning is a necessary and important work. In MapReduce frame, parallel technique is often used to execute data cleaning in...Data quality has exerted important influence over the application of grain big data, so data cleaning is a necessary and important work. In MapReduce frame, parallel technique is often used to execute data cleaning in high scalability mode, but due to the lack of effective design, there are amounts of computing redundancy in the process of data cleaning, which results in lower performance. In this research, we found that some tasks often are carried out multiple times on same input files, or require same operation results in the process of data cleaning. For this problem, we proposed a new optimization technique that is based on task merge. By merging simple or redundancy computations on same input files, the number of the loop computation in MapReduce can be reduced greatly. The experiment shows, by this means, the overall system runtime is significantly reduced, which proves that the process of data cleaning is optimized. In this paper, we optimized several modules of data cleaning such as entity identification, inconsistent data restoration, and missing value filling. Experimental results show that the proposed method in this paper can increase efficiency for grain big data cleaning.展开更多
基金Supported by the Stage Achievement of Social Science Fund Project of Heilongjiang Province and the Application of Technology Research(12C053)the Development Project in Heilongjiang Province(2013R0242)
文摘Developing production and operation in scales in the major grain producing areas is the direction of the paper. Seizing the opportunity of modem agriculture comprehensive reform in two plains （Songnen Plain and Sanjiang Plain） of Heilongjiang Province and supporting to build a new type of production and management based on the big grain production householding, which plays demonstration and leading roles, have an important strategic position in improving agricultural comprehensive production capacity and ensuring national food security. In this paper, based on the survey data about the big grain production households production operations and analyses of the obstacles in expansion of production in Heilongjiang Province, specific suggestions in supporting the development of the big grain production household were put forward, such as, increasing agricultural production socialized level; perfecting the service system of land transferring; improving financial policies and farmer-friendly policy measures and perfecting the agriculture socialized service system.
基金supported by the National High Technology Research and Development Program of China (2011AA10A101)the Hunan Provincial Natural Science Foundation of China (10JJ2025)
文摘Grain shape as a major determinant of rice yield and quality is widely believed to be controlled by quantitative trait loci(QTL). We have identified a novel gene 'GS2' to largely regulate grain length and width in rice. The GS2 allele in the big-grain rice line ‘CDL’functioned in a dominant manner. In the present study, we employed a chromosome walking strategy in the residual heterozygous lines from recombinant inbred population between cultivar 'R1126' and CDL, and located the GS2 gene in an interval of ~33.2 kb flanked by marker GL2-35-1 and GL2-12 in the long arm of rice chromosome 2. According to genome annotations, three putative gene loci, LOC_Os02g47280, LOC_Os02g47290 and LOC_Os02g47300, exist in this candidate region. In addition, allelic analysis with previously reported genes demonstrated that GS2 was novel for regulating rice grain shape. These results will help promote the cloning and functional characterization of the GS2 gene and further develop linked markers to be used in marker-assisted breeding.
文摘本研究在资源库中发现了一个大粒品种,暂被命名为big grain 3(bg3)。该品种的千粒重明显高于常规水稻品种。通过遗传分析表明该大粒性状为数量性状。与R28相比,bg3的籽粒长和宽分别增加了36.45%和25.81%,呈极显著增加。利用F2代群体中与R28相同粒型的植株提取DNA用于定位主效基因BG3,最终将BG3定位于第二染色体长臂的SSR引物RM1342和RM6之间,其遗传距离分别为0.027 c M和0.033 c M。通过测序比对发现,Os02g47280的第二个外显子有两个碱基的变化,使得BG3的编码提前终止。该结果为后续的研究提供了依据。
文摘Data quality has exerted important influence over the application of grain big data, so data cleaning is a necessary and important work. In MapReduce frame, parallel technique is often used to execute data cleaning in high scalability mode, but due to the lack of effective design, there are amounts of computing redundancy in the process of data cleaning, which results in lower performance. In this research, we found that some tasks often are carried out multiple times on same input files, or require same operation results in the process of data cleaning. For this problem, we proposed a new optimization technique that is based on task merge. By merging simple or redundancy computations on same input files, the number of the loop computation in MapReduce can be reduced greatly. The experiment shows, by this means, the overall system runtime is significantly reduced, which proves that the process of data cleaning is optimized. In this paper, we optimized several modules of data cleaning such as entity identification, inconsistent data restoration, and missing value filling. Experimental results show that the proposed method in this paper can increase efficiency for grain big data cleaning.
