刘小玲 王维 郑曙峰 徐道青 屈磊
摘 要:为了预测和分析2013年安徽省棉花的逐月生长发育和总体生产情况,通过多点多户连续监测数据,采用CCGI评价体系来监测预警全省棉花的产前、产中和产后的生产和发展。结果表明:2013年安徽省气候灾害频发,对棉花生长发育极为不利,全省CCGI平均为92,整体生长态势明显差于2012年;全省棉花种植面积为255.6×103 hm2,较2012年下降10.1%,总产为237×103 t,降18.8%,单产为927 kg/hm2,减6.5%。由于棉花市场的持续萎靡,监测预计2014年全省植棉面积将继续减少,减幅或达13.2%,或减至226.667×103 hm2以下。
关键词:安徽省;棉花;CCGI;长势;监测
中图分类号:S562 文献标志码:A 论文编号:2014-0170
Application of CCGI in Monitoring Cotton in Anhui Province in 2013
Liu Xiaoling, Wang Wei, Zheng Shufeng, Xu Daoqing, Qu Lei
(Cotton Research Institute, Anhui Academy of Agricultural Sciences/
Anqing Branch of National Cotton Improvement Center, Anqing 246003, Anhui, China)
Abstract: In order to predict and analyze monthly growth and overall production of cotton in Anhui Province in 2013, the author evaluated and early warned the cotton prenatal, delivery and postnatal production and development with CCGI which was counted through continuous survey from multi-point and multi-family. The results showed that: several climate disasters were extremely detrimental to the growth of cotton in Anhui Province in 2013, so the province average CCGI was only 92, and the general trend of cotton growth was significantly worse than in 2012. The cotton acreage of Anhui Province in 2013 was 255600 hm2, and decreased 10.1% comparing to the last year, while the total production was 237000 t, down 18.8%, and the lint yield was 927 kg/hm2, minus 6.5%. As the cotton market continued to slump, the cotton area was expected in 2014 in Anhui Province which would continue to decline, or down 13.2%, or reduced to 226667 hm2 or less.
Key words: Anhui Province; Cotton; China Cotton Growth Index; Growth; Monitoring
0 引言
棉花是中国重要的纺织工业原料,影响农业生产和国民经济健康、可持续发展,为了科学提供棉花产前信息化、产中科学化和产后市场服务等信息,中国农业科学院棉花研究所毛树春研究员带领研究团队在农业部与国家发展和改革委员会优质棉基地建设项目的资助下不断探索信息化服务的理论、方法和途径,针对“种或不种,种多种少,如何去种以及种后卖给谁”等问题,提出中国棉花生长指数(CCGI)、中国棉花生产景气指数(CCPPI)等模型[1-2]。中国棉花生长指数(CCGI)是揭示棉花过程产量变化的前瞻性指标;是记录和评价棉花生长发育及品质变化的数量指标;能够对气象灾害、生物灾害和栽培管理做出积极的响应[3-4]。CCGI通过分析棉花长势变化和价格波动,为准确预测棉花的生产形势和增加棉农抵御市场风险的能力提供重要保证,应用在苏、新、豫、皖、湘、赣等17个省的棉花生产上[5],潘宗瑾等[6]等研究认为每月形成的CCGI具有预测产量和品质的功能,2003—2005年监测均取得了良好效果;……