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Genetic diversity analysis of hulless barley from Shangri-la region revealed by SSR and AFLP markers 期刊论文
GENETIC RESOURCES AND CROP EVOLUTION, 2012, 卷号: 59, 期号: 7, 页码: 1543-1552
作者:  Guo, Yu;  Li, Yali;  Huang, Yuan;  Jarvis, Devra;  Sato, Kazuhiro;  Kato, Kenji;  Tsuyuzaki, Hiroshi;  Chen, Lijuan;  Long, Chunlin
Adobe PDF(372Kb)  |  收藏  |  浏览/下载：443/112  |  提交时间：2012/11/30
Genetic Diversity  Hordeum Vulgare  Hulless Barley  Shangri-la Region  
Anti-HIV activities of extracts from Pu-erh tea 期刊论文
CHINESE JOURNAL OF NATURAL MEDICINES, 2012, 卷号: 10, 期号: 5, 页码: 347-352
作者:  Huang Ning;  Yang Liu-Meng;  Li Xiao-Li;  Zheng Chang-Bo;  Wang Rui-Rui;  Yang Yong-Ping;  Zheng Yong-Tang
Adobe PDF(631Kb)  |  收藏  |  浏览/下载：358/131  |  提交时间：2012/11/30
Tea  Camellia Sinensis  Pu-erh Tea  Anti-hiv Agents  
DNA barcoding of Nyssaceae (Cornales) and taxonomic issues 期刊论文
BOTANICAL STUDIES, 2012, 卷号: 53, 期号: 2, 页码: 265-274
作者:  Wang, Nian;  Jacques, Frederic M. B.;  Milne, Richard I.;  Zhang, Chang-Qin;  Yang, Jun-Bo
浏览  |  Adobe PDF(587Kb)  |  收藏  |  浏览/下载：212/76  |  提交时间：2015/06/17
Dna Barcoding  Its  Matk  Nyssaceae  Rbcl  Trnh-psba  
The forgotten D: challenges of addressing forest degradation in complex mosaic landscapes under REDD 期刊论文
GEOGRAFISK TIDSSKRIFT-DANISH JOURNAL OF GEOGRAPHY, 2012, 卷号: 112, 期号: 1, 页码: 63-76
作者:  Mertz, Ole;  Mueller, Daniel;  Sikor, Thomas;  Hett, Cornelia;  Heinimann, Andreas;  Castella, Jean-Christophe;  Lestrelin, Guillaume;  Ryan, Casey M.;  Reay, David S.;  Schmidt-Vogt, Dietrich;  Danielsen, Finn;  Theilade, Ida;  van Noordwijk, Meine;  Verchot, Louis V.;  Burgess, Neil D.;  Berry, Nicholas J.;  Pham, Thu Thuy;  Messerli, Peter;  Xu, Jianchu;  Fensholt, Rasmus;  Hostert, Patrick;  Pflugmacher, Dirk;  Bruun, Thilde Bech;  de Neergaard, Andreas;  Dons, Klaus;  Dewi, Sonya;  Rutishauser, Ervan;  Sun, Zhanli
浏览  |  Adobe PDF(203Kb)  |  收藏  |  浏览/下载：241/66  |  提交时间：2015/06/17
Redd  Forest Degradation  Deforestation  Mosaic Landscapes  Forest Carbon  Greenhouse Gases  Livelihoods  Biodiversity  Governance  Monitoring  Remote Sensing