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Scientific data 122건

  1. [해외논문]   Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015   SCIE

    Ambika, Anukesh Krishnankutty (Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, 382355 Gujarat and ITRA Project: Measurement to Management (M2M): Improved Water Use Efficiency and Agricultural Productivity through Experimental Sensor Network ) , Wardlow, Brian (School of Natural Resources, University of Nebraska , Lincoln, USA ) , Mishra, Vimal (Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, 382355 Gujarat and ITRA Project: Measurement to Management (M2M): Improved Water Use Efficiency and Agricultural Productivity through Experimental Sensor Network)
    Scientific data v.3 ,pp. 160118 , 2016 ,

    초록

    India is among the countries that uses a significant fraction of available water for irrigation. Irrigated area in India has increased substantially after the Green revolution and both surface and groundwater have been extensively used. Under warming climate projections, irrigation frequency may increase leading to increased irrigation water demands. Water resources planning and management in agriculture need spatially-explicit irrigated area information for different crops and different crop growing seasons. However, annual, high-resolution irrigated area maps for India for an extended historical record that can be used for water resources planning and management are unavailable. Using 250 m normalized difference vegetation index (NDVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS) and 56 m land use/land cover data, high-resolution irrigated area maps are developed for all the agroecological zones in India for the period of 2000–2015. The irrigated area maps were evaluated using the agricultural statistics data from ground surveys and were compared with the previously developed irrigation maps. High resolution (250 m) irrigated area maps showed satisfactory accuracy (R 2 = 0.95) and can be used to understand interannual variability in irrigated area at various spatial scales.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

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  2. [해외논문]   Genome resequencing and comparative variome analysis in a Brassica rapa and Brassica oleracea collection   SCIE

    Cheng, Feng (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics , Beijing 10081, China ) , Wu, Jian (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics , Beijing 10081, China ) , Cai, Chengcheng (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture, Sino-Dutch Joint Laboratory of Horticultural Genomics , Beijing 10081, China ) , Fu, Lixia (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of H) , Liang, Jianli , Borm, Theo , Zhuang, Mu , Zhang, Yangyong , Zhang, Fenglan , Bonnema, Guusje , Wang, Xiaowu
    Scientific data v.3 ,pp. 160119 , 2016 ,

    초록

    The closely related species Brassica rapa and B. oleracea encompass a wide range of vegetable, fodder and oil crops. The release of their reference genomes has facilitated resequencing collections of B. rapa and B. oleracea aiming to build their variome datasets. These data can be used to investigate the evolutionary relationships between and within the different species and the domestication of the crops, hereafter named morphotypes. These data can also be used in genetic studies aiming at the identification of genes that influence agronomic traits. We selected and resequenced 199 B. rapa and 119 B. oleracea accessions representing 12 and nine morphotypes, respectively. Based on these resequencing data, we obtained 2,249,473 and 3,852,169 high quality SNPs (single-nucleotide polymorphisms), as well as 303,617 and 417,004 InDels for the B. rapa and B. oleracea populations, respectively. The variome datasets of B. rapa and B. oleracea represent valuable resources to researchers working on evolution, domestication or breeding of Brassica vegetable crops.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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