國(guó)內(nèi)外主要農(nóng)業(yè)科研機(jī)構(gòu)作物科學(xué)重點(diǎn)研究領(lǐng)域?qū)Ρ确治?/H1>
發(fā)布時(shí)間：2018-11-21 06:56
【摘要】：中國(guó)是世界農(nóng)業(yè)大國(guó),農(nóng)業(yè)是支柱性產(chǎn)業(yè)。作物科學(xué)是農(nóng)業(yè)科學(xué)體系中的核心學(xué)科,作物科學(xué)的發(fā)展直接關(guān)乎農(nóng)業(yè)科技水平的發(fā)展。作物科學(xué)的主要任務(wù)是研究作物的遺傳規(guī)律以及作物育種的相關(guān)技術(shù),幫助培育優(yōu)良的作物品種;同時(shí)研究外界因素對(duì)作物生長(zhǎng)發(fā)育、作物產(chǎn)量、作物品質(zhì)的影響,揭示其內(nèi)在規(guī)律,幫助實(shí)現(xiàn)安全、高產(chǎn)、優(yōu)質(zhì)的生成目標(biāo),從而為農(nóng)產(chǎn)品供給、糧食安全以及農(nóng)業(yè)可持續(xù)發(fā)展提供保障。農(nóng)業(yè)科研機(jī)構(gòu)是農(nóng)業(yè)科技創(chuàng)新的主體,其發(fā)展關(guān)乎國(guó)家在農(nóng)業(yè)科技方面的競(jìng)爭(zhēng)優(yōu)勢(shì)以及自主創(chuàng)新能力,特別是一些主要的農(nóng)業(yè)科研機(jī)構(gòu)更是發(fā)揮著骨干與引領(lǐng)的作用,對(duì)其研究軌跡進(jìn)行追蹤,不僅可以預(yù)測(cè)農(nóng)業(yè)科技發(fā)展趨勢(shì),促進(jìn)機(jī)構(gòu)間的學(xué)習(xí)與交流,實(shí)現(xiàn)優(yōu)勢(shì)互補(bǔ),而且有助于輔助國(guó)家制定農(nóng)業(yè)科技的發(fā)展戰(zhàn)略,提升農(nóng)業(yè)科技的發(fā)展水平,保障社會(huì)穩(wěn)定,推動(dòng)經(jīng)濟(jì)發(fā)展。本文以作物科學(xué)為例,結(jié)合課題組前期項(xiàng)目成果,選定中國(guó)農(nóng)業(yè)科學(xué)院(CAAS)、中國(guó)農(nóng)業(yè)大學(xué)(CAU)、中國(guó)科學(xué)院涉農(nóng)科研機(jī)構(gòu)(CAS)、美國(guó)農(nóng)業(yè)研究局(ARS)、法國(guó)農(nóng)業(yè)科學(xué)院(INRA)以及日本國(guó)立農(nóng)業(yè)食品研究機(jī)構(gòu)(NARO),這6所國(guó)內(nèi)外知名農(nóng)業(yè)科研機(jī)構(gòu)為本研究的目標(biāo)機(jī)構(gòu),對(duì)其進(jìn)行相關(guān)對(duì)比分析�？紤]到作物科學(xué)數(shù)據(jù)范圍難以界定,本文數(shù)據(jù)主要采集于web of science SCI引文數(shù)據(jù)庫(kù)與CABI Abstract數(shù)據(jù)庫(kù)兩個(gè)數(shù)據(jù)庫(kù),結(jié)合二者特點(diǎn),利用當(dāng)今較為流行的大數(shù)據(jù)技術(shù),融合兩數(shù)據(jù)庫(kù)數(shù)據(jù),最終確定研究數(shù)據(jù)范圍。本文主要基于文獻(xiàn)計(jì)量學(xué)的理論,采用引文分析、內(nèi)容詞分析等方法,利用Bibexcel、CiteSpace等軟件,客觀、科學(xué)地對(duì)比目標(biāo)機(jī)構(gòu)作物科學(xué)論文產(chǎn)出、學(xué)科交叉分布等情況,識(shí)別作物科學(xué)重點(diǎn)研究領(lǐng)域,并著重分析對(duì)比了6所目標(biāo)機(jī)構(gòu)在作物科學(xué)重點(diǎn)研究領(lǐng)域——作物遺傳與育種領(lǐng)域的科技產(chǎn)出及影響力、領(lǐng)域交叉、國(guó)際合作以及研究主題等方的情況。結(jié)果顯示中國(guó)農(nóng)業(yè)科學(xué)院作物科學(xué)基礎(chǔ)研究實(shí)力持續(xù)快速增長(zhǎng),但與發(fā)達(dá)國(guó)家農(nóng)業(yè)機(jī)構(gòu)相比,仍然存在較大差距,需不斷創(chuàng)新,提升發(fā)文質(zhì)量和國(guó)際影響力;6所目標(biāo)機(jī)構(gòu)在作物科學(xué)領(lǐng)域分布格局相似,中國(guó)農(nóng)業(yè)科學(xué)院在作物科學(xué)方面,研究領(lǐng)域不斷拓展和深入,逐步向國(guó)外知名機(jī)構(gòu)靠攏;國(guó)際交流合作國(guó)外機(jī)構(gòu)優(yōu)勢(shì)明顯,國(guó)內(nèi)機(jī)構(gòu)有待提高;研究主題上6所目標(biāo)機(jī)構(gòu)既有共性又有各自不同的側(cè)重點(diǎn),表現(xiàn)各有千秋,值得互相學(xué)習(xí)和借鑒。
[Abstract]:China is a big agricultural country in the world, and agriculture is a pillar industry. Crop science is the core subject in agricultural science system. The development of crop science is directly related to the development of agricultural science and technology. The main task of crop science is to study the genetic laws of crops and the related techniques of crop breeding to help cultivate good crop varieties. At the same time, we study the influence of external factors on crop growth and development, crop yield, crop quality, reveal its inherent law, help to achieve the goal of safe, high yield and good quality, thus providing agricultural products. Food security and sustainable agricultural development provide security. Agricultural scientific research institutions are the main body of agricultural scientific and technological innovation, its development relates to the national competitive advantage in agricultural science and technology and the ability of independent innovation, especially some major agricultural scientific research institutions play a key and leading role. Tracking the track of its research can not only predict the development trend of agricultural science and technology, promote the learning and exchange among institutions, realize the complementary advantages, but also help the country to formulate the development strategy of agricultural science and technology. We will raise the level of development of agricultural science and technology, ensure social stability and promote economic development. In this paper, taking crop science as an example and combining the results of the previous project of the research group, we select (CAAS), Chinese Agricultural University, (CAU), the Agricultural Research Institute of the Chinese Academy of Sciences, (ARS), of the Bureau of Agricultural Research of the United States of America. (INRA) of French Academy of Agricultural Sciences and (NARO), of the National Agricultural Food Research Institute of Japan, six well-known agricultural research institutions at home and abroad, are the target institutions of this study. Considering that the range of crop scientific data is difficult to define, the data in this paper are mainly collected from two databases, web of science SCI citation database and CABI Abstract database. Combined with the characteristics of the two databases, using big data technology, which is popular nowadays, the data of the two databases are fused. Finally determine the range of research data. Based on the theory of bibliometrics, this paper uses the methods of citation analysis, content word analysis and Bibexcel,CiteSpace software to objectively and scientifically compare the output and interdisciplinary distribution of crop science papers in target institutions. Identifying the key research areas of crop science, and analyzing and comparing the scientific and technological output and influence of the six target institutions in the key research fields of crop science, namely, crop genetics and breeding. International cooperation and research topics. The results show that the basic research strength of crop science of the Chinese Academy of Agricultural Sciences continues to grow rapidly, but compared with the agricultural institutions of developed countries, there is still a big gap. The distribution pattern of the six target institutions in the field of crop science is similar, and the research field of the Chinese Academy of Agricultural Sciences has been continuously expanded and deepened, and gradually close to the well-known institutions abroad. The foreign institutions of international exchange and cooperation have obvious advantages, while the domestic institutions need to be improved. The six target institutions on the research subject have both common features and different emphases, which are worthy of learning and learning from each other.
【學(xué)位授予單位】：中國(guó)農(nóng)業(yè)科學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：S-0;G353.1
【參考文獻(xiàn)】
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1 姜婷婷;范水香;陸偉;王淼;;基于NEViewer的國(guó)內(nèi)外圖書情報(bào)領(lǐng)域研究熱點(diǎn)對(duì)比分析[J];情報(bào)科學(xué);2016年02期
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6 張洋;謝齊;;基于社會(huì)網(wǎng)絡(luò)分析的機(jī)構(gòu)科研合作關(guān)系研究[J];圖書情報(bào)知識(shí);2014年02期
7 沈同平;楊松濤;儲(chǔ)節(jié)旺;;基于共詞分析方法的國(guó)內(nèi)知識(shí)鏈研究熱點(diǎn)分析[J];新世紀(jì)圖書館;2014年01期
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9 滕蔓;;中英兩國(guó)在地球與空間科學(xué)領(lǐng)域的合作與對(duì)比研究[J];圖書與情報(bào);2013年03期
10 朱云霞;;中英兩國(guó)在數(shù)學(xué)領(lǐng)域的合作與對(duì)比研究[J];圖書與情報(bào);2013年03期
相關(guān)博士學(xué)位論文 前2條
1 焦宏官;基于SCIE的國(guó)際針灸熱點(diǎn)及合作團(tuán)隊(duì)研究[D];中國(guó)中醫(yī)科學(xué)院;2013年
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相關(guān)碩士學(xué)位論文 前9條
1 史紀(jì)元;基于CiteSpaceⅢ輸血醫(yī)學(xué)研究領(lǐng)域知識(shí)圖譜分析[D];第四軍醫(yī)大學(xué);2015年
2 劉進(jìn);基于關(guān)鍵詞共詞分析的我國(guó)新課改熱點(diǎn)研究[D];陜西師范大學(xué);2014年
3 許友權(quán);核聚類算法研究及其在文本聚類中的應(yīng)用[D];江蘇科技大學(xué);2014年
4 劉健;國(guó)外元數(shù)據(jù)研究前沿與熱點(diǎn)可視化探討[D];南京大學(xué);2013年
5 孫曉寧;國(guó)內(nèi)知識(shí)管理學(xué)科體系結(jié)構(gòu)可視化研究[D];安徽大學(xué);2013年
6 張建東;基于知識(shí)圖譜的國(guó)內(nèi)外知識(shí)管理研究領(lǐng)域?qū)Ρ确治鯷D];東北大學(xué);2011年
7 許麗利;聚類分析的算法及應(yīng)用[D];吉林大學(xué);2010年
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9 李淑麗;信息可視化工具的比較研究[D];黑龍江大學(xué);2006年
，
本文編號(hào)：2346231
本文鏈接：http://sikaile.net/tushudanganlunwen/2346231.html
[Abstract]:China is a big agricultural country in the world, and agriculture is a pillar industry. Crop science is the core subject in agricultural science system. The development of crop science is directly related to the development of agricultural science and technology. The main task of crop science is to study the genetic laws of crops and the related techniques of crop breeding to help cultivate good crop varieties. At the same time, we study the influence of external factors on crop growth and development, crop yield, crop quality, reveal its inherent law, help to achieve the goal of safe, high yield and good quality, thus providing agricultural products. Food security and sustainable agricultural development provide security. Agricultural scientific research institutions are the main body of agricultural scientific and technological innovation, its development relates to the national competitive advantage in agricultural science and technology and the ability of independent innovation, especially some major agricultural scientific research institutions play a key and leading role. Tracking the track of its research can not only predict the development trend of agricultural science and technology, promote the learning and exchange among institutions, realize the complementary advantages, but also help the country to formulate the development strategy of agricultural science and technology. We will raise the level of development of agricultural science and technology, ensure social stability and promote economic development. In this paper, taking crop science as an example and combining the results of the previous project of the research group, we select (CAAS), Chinese Agricultural University, (CAU), the Agricultural Research Institute of the Chinese Academy of Sciences, (ARS), of the Bureau of Agricultural Research of the United States of America. (INRA) of French Academy of Agricultural Sciences and (NARO), of the National Agricultural Food Research Institute of Japan, six well-known agricultural research institutions at home and abroad, are the target institutions of this study. Considering that the range of crop scientific data is difficult to define, the data in this paper are mainly collected from two databases, web of science SCI citation database and CABI Abstract database. Combined with the characteristics of the two databases, using big data technology, which is popular nowadays, the data of the two databases are fused. Finally determine the range of research data. Based on the theory of bibliometrics, this paper uses the methods of citation analysis, content word analysis and Bibexcel,CiteSpace software to objectively and scientifically compare the output and interdisciplinary distribution of crop science papers in target institutions. Identifying the key research areas of crop science, and analyzing and comparing the scientific and technological output and influence of the six target institutions in the key research fields of crop science, namely, crop genetics and breeding. International cooperation and research topics. The results show that the basic research strength of crop science of the Chinese Academy of Agricultural Sciences continues to grow rapidly, but compared with the agricultural institutions of developed countries, there is still a big gap. The distribution pattern of the six target institutions in the field of crop science is similar, and the research field of the Chinese Academy of Agricultural Sciences has been continuously expanded and deepened, and gradually close to the well-known institutions abroad. The foreign institutions of international exchange and cooperation have obvious advantages, while the domestic institutions need to be improved. The six target institutions on the research subject have both common features and different emphases, which are worthy of learning and learning from each other.
【學(xué)位授予單位】：中國(guó)農(nóng)業(yè)科學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：S-0;G353.1
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 姜婷婷;范水香;陸偉;王淼;;基于NEViewer的國(guó)內(nèi)外圖書情報(bào)領(lǐng)域研究熱點(diǎn)對(duì)比分析[J];情報(bào)科學(xué);2016年02期
2 張璐;長(zhǎng)青;齊二石;;文獻(xiàn)計(jì)量視角下我國(guó)技術(shù)創(chuàng)新與管理創(chuàng)新領(lǐng)域?qū)Ρ妊芯縖J];科技進(jìn)步與對(duì)策;2015年06期
3 胡畔畔;薛曉芳;;基于TDA專利分析的可視化學(xué)科服務(wù)實(shí)例[J];醫(yī)學(xué)信息學(xué)雜志;2014年12期
4 王俏;王偉;潘瑋;張世玉;;基于文獻(xiàn)共被引分析的醫(yī)學(xué)信息學(xué)學(xué)科特征研究[J];醫(yī)學(xué)信息學(xué)雜志;2014年04期
5 郭全珍;呂建國(guó);;納米功能材料領(lǐng)域研究前沿和發(fā)展趨勢(shì)的可視化分析[J];情報(bào)雜志;2014年03期
6 張洋;謝齊;;基于社會(huì)網(wǎng)絡(luò)分析的機(jī)構(gòu)科研合作關(guān)系研究[J];圖書情報(bào)知識(shí);2014年02期
7 沈同平;楊松濤;儲(chǔ)節(jié)旺;;基于共詞分析方法的國(guó)內(nèi)知識(shí)鏈研究熱點(diǎn)分析[J];新世紀(jì)圖書館;2014年01期
8 沈思;;中英兩國(guó)在環(huán)境學(xué)科領(lǐng)域的合作與對(duì)比研究[J];圖書與情報(bào);2013年04期
9 滕蔓;;中英兩國(guó)在地球與空間科學(xué)領(lǐng)域的合作與對(duì)比研究[J];圖書與情報(bào);2013年03期
10 朱云霞;;中英兩國(guó)在數(shù)學(xué)領(lǐng)域的合作與對(duì)比研究[J];圖書與情報(bào);2013年03期
相關(guān)博士學(xué)位論文 前2條
1 焦宏官;基于SCIE的國(guó)際針灸熱點(diǎn)及合作團(tuán)隊(duì)研究[D];中國(guó)中醫(yī)科學(xué)院;2013年
2 魏建香;學(xué)科交叉知識(shí)發(fā)現(xiàn)及其可視化研究[D];南京大學(xué);2010年
相關(guān)碩士學(xué)位論文 前9條
1 史紀(jì)元;基于CiteSpaceⅢ輸血醫(yī)學(xué)研究領(lǐng)域知識(shí)圖譜分析[D];第四軍醫(yī)大學(xué);2015年
2 劉進(jìn);基于關(guān)鍵詞共詞分析的我國(guó)新課改熱點(diǎn)研究[D];陜西師范大學(xué);2014年
3 許友權(quán);核聚類算法研究及其在文本聚類中的應(yīng)用[D];江蘇科技大學(xué);2014年
4 劉健;國(guó)外元數(shù)據(jù)研究前沿與熱點(diǎn)可視化探討[D];南京大學(xué);2013年
5 孫曉寧;國(guó)內(nèi)知識(shí)管理學(xué)科體系結(jié)構(gòu)可視化研究[D];安徽大學(xué);2013年
6 張建東;基于知識(shí)圖譜的國(guó)內(nèi)外知識(shí)管理研究領(lǐng)域?qū)Ρ确治鯷D];東北大學(xué);2011年
7 許麗利;聚類分析的算法及應(yīng)用[D];吉林大學(xué);2010年
8 楊穎;基于共詞分析的學(xué)科結(jié)構(gòu)可視化研究[D];中國(guó)醫(yī)科大學(xué);2010年
9 李淑麗;信息可視化工具的比較研究[D];黑龍江大學(xué);2006年
，本文編號(hào)：2346231
本文鏈接：http://sikaile.net/tushudanganlunwen/2346231.html
