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利用GGE双标图划分长江流域棉花纤维品质生态区
引用本文:许乃银,李,健.利用GGE双标图划分长江流域棉花纤维品质生态区[J].作物学报,2014,40(5):891-898.
作者姓名:许乃银    
作者单位:江苏省农业科学院经济作物研究所 / 农业部长江下游棉花与油菜重点实验室,江苏南京 210014
基金项目:本研究由国家转基因生物新品种培育重大专项(2012ZX08013015)和全国农业技术推广服务中心项目(2911217)资助。
摘    要:长江流域棉区棉纤维品质区域特征明显,合理划分纤维品质生态区有助于提高原棉品质和配棉效率。本研究采用GGE双标图的"环境-性状"功能图分析2000—2012年期间长江流域国家棉花品种区域试验中环境与纤维品质性状的互作模式,提出长江流域棉纤维品质生态区划分方案。结果表明,长江流域棉区可划分为"中等品质生态区"、"高长度与比强度生态区"和"低马克隆值生态区"。其中,长江流域中等纤维品质生态区涵盖湖北省江汉平原和鄂东南岗地棉区、河南省与湖北省交界的南襄盆地棉区、湖南省环洞庭湖东部和西部棉区、江西省环鄱阳湖棉区、安徽省沿江与江淮棉区、江苏省宁镇丘陵与沿江棉区和浙江省沿海棉区,纤维品质较好,代表了长江流域的总体水平;高长度与比强度生态区位于湖南省环洞庭湖北部滨湖沃土棉区,纤维长度和比强度优良,而马克隆值偏高;低马克隆值生态区涵盖长江流域最西边海拔较高的棉花熟期早长势较弱的四川丘陵棉区和最东边土壤含盐度较高且棉花长势较弱的江苏沿海棉区,纤维马克隆值达到B级水平,为长江流域马克隆值最好的区域,但纤维比强度水平一般。本研究充分展示了GGE双标图的"环境-性状"功能图在纤维品质生态区划分方面的应用效果,可为长江流域棉花区域化种植和纺织企业合理用棉提供决策支持,也为其他棉区和作物生态区划分研究提供参考。

关 键 词:棉花(Gossypium  hirsutum  L.)  GGE双标图  棉纤维品质  生态区划分  长江流域
收稿时间:2013-12-02

Ecological Regionalization of Cotton Fiber Quality Based on GGE Biplot in Yangtze River Valley
XU Nai-Yin,LI Jian.Ecological Regionalization of Cotton Fiber Quality Based on GGE Biplot in Yangtze River Valley[J].Acta Agronomica Sinica,2014,40(5):891-898.
Authors:XU Nai-Yin  LI Jian
Institution:Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences / Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Nanjing 210014, China
Abstract:Ecological regionalization based on cotton fiber quality can improve raw cotton quality and the machining efficiency. The “environment vs. trait biplot” of GGE biplot software was used to explore the interaction pattern between test environments and cotton fiber quality characters based on datasets collected from the national cotton regional trials in Yangtze River Valley from 2000 to 2012. The results showed that the cotton planting area could be divided into three special fiber quality ecological regions, namely, the “moderate fiber quality ecological region”, the “high fiber length and strength ecological region” and the “low micronaire ecological region”. The moderate fiber quality ecological region was characterized by moderate fiber quality with the best representativeness of the whole region, which covers the major area of cotton planting region in YaRV, including the Jianghan plain and the southeast downland in Hubei Province, Nan-xiang basin across Henan and Hubei Provinces, the west and east regions around Dongting Lake in Hunan Province, the area around Poyang Lake in Jiangxi Province, Jiang-huai plain and along the Yangtze River region in Anhui Province, Ningzhen hilly region and along the Yangtze River region in Jiangsu Province, and also the coastal region in Zhejiang Province. The high fiber length and strength ecological region was characterized by high fiber length, fiber strength, and also micronaire value including the north fertile region around the Dongting Lake. The low micronaire ecological region was characterized by the best micronaire value and average fiber strength performance containing of the most west hilly cotton planting area at relatively high altitude and with earlier mature season in Sichuan Province, and the most east coastal cotton field with higher salt content soil grown weaker cotton plants in Jiangsu Province. This study demonstrated the effectiveness of “environment vs. trait biplot” in the ecological regionalization of cotton fiber quality, provided references for the regionalized cotton production and raw cotton selection strategy for textile industry, and set a good example for the implementation of similar ecological regionalization for cotton in other planting regions and for other crops elsewhere as well.
Keywords:Cotton (Gossypium hirsutum L  )  GGE biplot  Cotton fiber quality  Ecological regionalization  Yangtze River Valley (YaRV)
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