欢迎访问作物学报,今天是

作物学报 ›› 2014, Vol. 40 ›› Issue (05): 891-898.doi: 10.3724/SP.J.1006.2014.00891

• 耕作栽培·生理生化 • 上一篇    下一篇

利用GGE双标图划分长江流域棉花纤维品质生态区

许乃银,李健   

  1. 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
  • 收稿日期:2013-12-02 修回日期:2014-02-18 出版日期:2014-05-12 网络出版日期:2014-03-24
  • 基金资助:

    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。

Ecological Regionalization of Cotton Fiber Quality Based on GGE Biplot in Yangtze River Valley

XU Nai-Yin,LI Jian   

  1. Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences / Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Nanjing 210014, China
  • Received:2013-12-02 Revised:2014-02-18 Published:2014-05-12 Published online:2014-03-24

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

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.

Key words: Cotton (Gossypium hirsutum L.), GGE biplot, Cotton fiber quality, Ecological regionalization, Yangtze River Valley (YaRV)

[1]唐淑荣, 肖荧南, 杨伟华. 中国棉花纤维品质地域和年份间分析. 中国农学通报, 2006, 22(10): 177–183



Tang S R, Xiao Y N, Yang W H. Analysis of raw cotton fiber quality between region and year in China. Chin Agric Sci Bull, 2006, 22(10): 177–183 (in Chinese with English abstract)



[2]Robert L L, Michael P B, Stuart G G, Marinus H J, Geoffrey R S N, Greg A C. Fiber quality and textile performance of some Australian cotton genotypes. Crop Sci, 2010, 50: 1509–1518



[3]Foulk J, Meredith W, Mcalister D, Luke D. Fiber and yarn properties improve with new cotton cultivar. J Cotton Sci, 2009, 13: 212–220



[4]唐淑荣, 彭振, 褚平, 侯爱玲, 孟俊婷, 冯翠萍, 魏守军. 2012年我国生产领域棉花纤维品质抽检结果分析. 中国棉花, 2013, 40(7): 9–13



Tang S R, Peng Z, Chu P, Hou A L, Meng J T, Feng C P, Wei S J. Evaluation of fiber quality of major cotton cultivars in China during 2012. China Cotton, 2013, 40(7): 9–13 (in Chinese)



[5]马富裕, 朱艳, 曹卫星, 杨建荣, 郑重, 程海涛, 慕彩芸. 棉纤维品质指标形成的动态模拟, 作物学报. 2006, 32: 442–448



Ma F Y, Zhu Y, Cao W X, Yang J R, Zheng Z, Cheng H T, Mu C Y. Modeling fiber quality for-mation in cotton. Acta Agron Sin, 2006, 32: 442–448 (in Chinese with English abstract)



[6]Read J J, Reddy K R, Jenkins J N. Yield and fiber quality of upland cotton as influenced by nitrogen and potassium nutrition. Eur J Agron, 2006, 24: 282–290



[7]Smith C W, Braden C A, Hequet E F. Genetic analysis of fiber length uniformity in upland cotton. Crop Sci, 2010, 50: 567–573



[8]王学德, 俞碧霞, 夏如冰, 朱乾浩, 邱新棉, 黄秀国. 浙江棉区棉花纤维品质生态分布特征. 浙江农业科学, 1994, (1): 3–7



Wang X D, Yu B X, Xia R B, Zhu G H, Qiu X M, Huang X G. Cotton fiber quality regional distribution characteristics in the cotton planting region in Zhejiang province. Zhejiang Agric Sci, 1994, (1): 3–7 (in Chinese)



[9]余隆新, 唐仕芳, 王少华, 霍红, 陈光琬, 别墅. 湖北省棉纤维品质生态区划及研究, 棉花学报. 1993, 5(2): 15–20



Yu L X, Tang S F, Wang S H, Huo H, Chen G W, Bie S. The study on the ecological classification of the fiber quality of upland cotton in Hubei province. Cotton Sci, 1993, 5(2): 15–20 (in Chinese with English abstract)



[10]杨伟华, 熊宗伟, 唐淑荣, 项时康. 从不同领域棉花品质差异谈实行区划种植的必要性, 中国棉花. 2002, 29(4): 2–6



Yang W H, Xiong Z W, Tang S R, Xiang S K. Discuss on the necessity of regionalized cotton planting based on the cotton fiber quality discrepancy in different fields. China Cotton, 2002, 29(4): 2–6 (in Chinese)



[11]Yan W, Hunt L A, Sheng Q, Szlavnics Z. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci, 2000, 40: 597–605



[12]严威凯. 双标图分析在农作物品种多点试验中的应用. 作物学报, 2010, 36: 1805–1819



Yan W K. Optimal use of biplots in analysis of multi-location variety test data. Acta Agron Sin, 2010, 36: 1805–1819( in Chinese with English abstract)



[13]Yan W K, Kang M S, Ma B L, Woods S, Cornelius P L. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci, 2007, 47: 643–655



[14]Yan W K, Cornelius P L, Crossa J, Hunt L A. Two types of GGE biplots for analyzing multi-environment trial data. Crop Sci, 2001, 41: 656–663



[15]Yan W K. GGE biplot—a windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agron J, 2001, 93: 1111–1118



[16]陈四龙, 李玉荣, 程增书, 刘吉生. 用GGE双标图分析种植密度对高油花生生长和产量的影响, 作物学报, 2009, 35: 1328–1335



Chen S L, Li Y R, Cheng Z S, Liu J S. GGE biplot analysis of effects of planting density on growth and yield components of high oil peanut. Acta Agron Sin, 2009, 35: 1328–1335 (in Chinese with English abstract)



[17]罗俊, 张华, 邓祖湖, 许莉萍, 徐良年, 袁照年, 阙友雄. 应用GGE双标图分析甘蔗品种(系)的产量和品质性状. 作物学报, 2013, 39: 142–152



Luo J, Zhang H, Deng Z H, Xu L P, Xu L N, Yuan Z N, Que Y X. Analysis of yield and quality traits in sugarcane varieties (lines) with GGE-biplot. Acta Agron Sin, 2013, 39: 142–152 (in Chinese with English abstract)



[18]Reddy P S, Rathore A, Reddy B V S, Panwar S. Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype?environment interaction and seasonal adaptation. Indian J Agric Sci, 2011, 81: 438–444



[19]Sharma D, Sharma R C, Dhakal R, Dhami N B, Gurung D B, Katuwal R B, Koirala K B, Prasad R C, Sah S N, Upadhyay S R, Tiwari T P, Ortiz-Ferrara G. Performance stability of maize genotypes across diverse hill environments in Nepal. Euphytica, 2008, 164: 689–698



[20]许乃银, 张国伟, 李健, 周治国. 基于GGE双标图和比强度选择的棉花品种生态区划分. 中国生态农业学报, 2012, 20: 1500–1507



Xu N Y, Zhang G W, Li J, Zhou Z G. Investigation of cotton mega-environment based on fiber strength selection and GGE biplot. Chin J Eco-Agric, 2012, 20: 1500–1507 (in Chinese with English abstract)



[21]许乃银, 张国伟, 李健, 周治国. 基于HA-GGE双标图的长江流域棉花区域试验环境评价. 作物学报, 2012, 38: 2229–2236



Xu N Y, Zhang G W, Li J, Zhou Z G. Evaluation of cotton regional trial environments based on HA-GGE biplot in the Yangtze River valley. Acta Agron Sin, 2012, 38: 2229–2236 (in Chinese with English abstract)



[22]Baxevanos D, Goulas C, Rossi J, Braojos E. Separation of cotton cultivar testing sites based on representativeness and discriminating ability using GGE biplots. Agron J, 2008, 100: 1230–1236



[23]Yan W K. GGE biplot vs. AMMI graphs for genotpe-by-environment data analysis. J Ind Sco Agric Statist, 2011, 65(2): 1–10



[24]Adugna W, Labuschagne M T. Cluster and canonical variate analyses in multilocation trials of linseed. J Agric Sci, 2003, 140: 297–304



[25] 陈荣江, 孙长法, 朱明哲. 河南棉花纤维品质的生态分布及聚类分析. 吉林农业大学学报, 2007, 29: 478–482



Chen R J, Sun C F, Zhu M Z. Ecological distribution and clustering analysis of cotton fiber quality in Henan province. J Jilin Agric Univ, 2007, 29: 478–482 (in Chinese with English abstract)



[26]许乃银, 陈旭升, 狄佳春, 肖松华, 刘剑光. 长江流域棉花纤维品质的区域特征研究. 棉花学报, 2003, 15: 221–226



Xu N Y, Chen X S, Di J C, Xiao S H, Liu J G. Studies on the regional characteristics of cotton fiber quality in Yangtze Valley. Cotton Sci, 2003, 15: 221–226 (in Chinese with English abstract)



[27]唐淑荣, 杨付新, 周关印. 黄河流域棉纤维品质区域分布特征. 中国棉花, 1997, 24(6): 11–12



Tang S R, Yang F X, Zhou G Y. Regional distribution characteristics of cotton fiber quality in the Yellow River Valley. China Cotton, 1997, 24(6): 11–12 (in Chinese)



[28]许乃银, 李健, 张国伟, 周治国. 基于GGE双标图和马克隆值选择的棉花区域试验环境评价. 中国生态农业学报, 2013, 21: 1241–1248



Xu N Y, Li J, Zhang G W, Zhou Z G. Evaluation of regional cotton trial environments based on cotton fiber micron-aire selection by using GGE biplot analysis. Chin J Eco-Agric, 2013, 21: 1241–1248 (in Chinese with English abstract)



[29]Robert L L, Michael P B. Consequences of immature fiber on the processing performance of upland cotton. Field Crop Res, 2011, 121: 401–407



[30]Zeng L H, Meredith J W R. Associations among lint yield, yield components, and fiber properties in an introgressed population of cotton. Crop Sci, 2009, 49: 1647–1654



[31]张丽娟, 熊宗伟, 陈兵林, 薛晓萍, 周治国. 气候条件变化对棉纤维品质的影响. 自然灾害学报, 2006, 15(2): 79–84



Zhang H J, Xiong Z W, Chen B L, Xue X P, Zhou Z G. Sensitivity analysis of cotton fiber quality to climate condition. J Natl Disasters, 2006, 15(2): 79–84 (in Chinese with English abstract)

[1] 叶夕苗,程鑫,安聪聪,袁剑龙,余斌,文国宏,李高峰,程李香,王玉萍,张峰. 马铃薯产量组分的基因型与环境互作及稳定性[J]. 作物学报, 2020, 46(3): 354-364.
[2] 胡海燕,刘迪秋,李允静,李阳,涂礼莉*. 一个棉花纤维伸长期优势表达启动子pGhFLA1的克隆与鉴定[J]. 作物学报, 2017, 43(06): 849-854.
[3] 罗俊,许莉萍,邱军,张华,袁照年,邓祖湖,陈如凯,阙友雄. 基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分[J]. 作物学报, 2015, 41(02): 214-227.
[4] 许乃银,李健. 棉花区试中品种多性状选择的理想试验环境鉴别[J]. 作物学报, 2014, 40(11): 1936-1945.
[5] 杨长琴,刘瑞显,张国伟,徐立华,周治国. 花铃期渍水对棉铃对位叶蔗糖代谢及铃重的影响[J]. 作物学报, 2014, 40(05): 908-914.
[6] 刘敬然,刘佳杰,孟亚利,王友华,陈兵林,张国伟,周治国. 外源6-BA和ABA对不同播种期棉花产量和品质及其棉铃对位叶光合产物的影响[J]. 作物学报, 2013, 39(06): 1078-1088.
[7] 罗俊,张华,邓祖湖,许莉萍,徐良年,袁照年,阙友雄. 应用GGE双标图分析甘蔗品种(系)的产量和品质性状[J]. 作物学报, 2013, 39(01): 142-152.
[8] 许乃银,张国伟,李健,周治国. 基于HA-GGE双标图的长江流域棉花区域试验环境评价[J]. 作物学报, 2012, 38(12): 2229-2236.
[9] 严威凯. 双标图分析在农作物品种多点试验中的应用[J]. 作物学报, 2010, 36(11): 1805-1819.
[10] 张志芬,付晓峰*,刘俊青,杨海顺. 用GGE双标图分析燕麦区域试验品系产量稳定性及试点代表性[J]. 作物学报, 2010, 36(08): 1377-1385.
[11] 陈四龙,李玉荣,程增书,刘吉生. 用GGE双标图分析种植密度对高油花生生长和产量的影响[J]. 作物学报, 2009, 35(7): 1328-1335.
[12] 马溶慧;许乃银;张传喜;李文峰;冯营;屈磊;王友华;周治国. 氮素调控棉花纤维蔗糖代谢及纤维比强度的生理机制[J]. 作物学报, 2008, 34(12): 2143-2151.
[13] 尚毅;李少钦;李殿荣;田建华. 用双标图分析油菜双列杂交试验[J]. 作物学报, 2006, 32(02): 243-248.
[14] 张德贵;孔繁玲;张群远;刘文欣;杨付新;许乃银;廖琴;邹奎. 建国以来我国长江流域棉区棉花品种的遗传改良Ⅰ.产量及产量组分性状的改良[J]. 作物学报, 2003, 29(02): 208-215.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!