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Proceedings Paper

Increasing the cotton yield and improving the ecology in cotton fields by utilizing the properties of natural resources in Xinjiang, China
Author(s): Changyan Tian; Zhaozhi Lu; Yudong Song; Henian Zhang
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Paper Abstract

The area of aeolian sand soil in Xinjiang is 3.7189×107 hm2 and occupies 25% of the total land area. Traditionally, it is considered that aeolian sand soil has low yield of crops due to its poor retention power of soil moisture and soil fertility. However, the stems of cotton growing on aeolian sand soil are small and their fictile shape is easy to be controlled. Thus, a culture mode of "increasing stems and bolls, double-layer and double-stem" of cotton is developed by scientific irrigation and fertilizer spread as well as artificial control of fictile shape based on the growth laws of cotton and the properties of aeolian sand soil, and a lint yield of over 3,750 kg/hm2 has been reaped in successive 3 years. Currently, the cotton culture in Xinjiang is rapidly developed, the proportion of cotton-culture areas occupies 40~60%, the cultivating areas of other crops are reduced, the ecosystems are simplified, and the natural enemies in cotton fields are reduced. Alfalfa belts of 8~10 m in width are planted in the zones affected by shelter forests, the occurrence of Therioaphis maculata (Buckton) in alfalfa belts is 10~15 days earlier than that of cotton aphids (Aphis gossypii Glover), and in the alfalfa belts the quantity of herioaphis maculata (Buckton), the natural enemies, is 13.65 times of that in cotton fields when the cotton aphids occur. To resect the alfalfa this moment makes the natural enemies in the alfalfa belts enter the cotton fields and eat cotton aphids, which has good effects for preventing and controlling cotton aphids.

Paper Details

Date Published: 14 July 2003
PDF: 11 pages
Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); doi: 10.1117/12.466210
Show Author Affiliations
Changyan Tian, Xinjiang Institute of Ecology and Geography, CAS (China)
Zhaozhi Lu, Xinjiang Institute of Ecology and Geography, CAS (China)
Yudong Song, Xinjiang Institute of Ecology and Geography, CAS (China)
Henian Zhang, Xinjiang Institute of Ecology and Geography, CAS (China)


Published in SPIE Proceedings Vol. 4890:
Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land
Xiaoling Pan; Wei Gao; Michael H. Glantz; Yoshiaki Honda, Editor(s)

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