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Large scale patterns of forage yield and quality across Chinese grasslands.

Authors :
Shi, Yue
Ma, YinLei
Ma, WenHong
Liang, CunZhu
Zhao, XinQuan
Fang, JingYun
He, JinSheng
Source :
Chinese Science Bulletin. Apr2013, Vol. 58 Issue 10, p1187-1199. 13p.
Publication Year :
2013

Abstract

Understanding the patterns of forage quantity and quality and investigating the factors influencing these patterns are essential for the development of animal husbandry. However, there is very little field evidence focused on these issues at a large spatial scale. In the current study, we analyzed forage quantity and quality at 177 sites distributed in all the major grassland types across China, and explored the relationship between forage quantity and quality based on consistent sampling protocols. We also investigated potential factors influencing forage quality patterns across China. Our study indicates the Tibetan grasslands had both higher quantity and quality forage than the Inner Mongolian grasslands, and alpine meadow had the best quantity and quality forage because of the meadow's high productivity and the crude protein and nitrogen free extract content of the meadow forage. For the main vegetation formations, Kobresia tibetica meadows and Achnatherum splendens steppes had the highest quantity, while Kobresia pygmaea meadows and Kobresia humilis meadows had the best quality. We also found that although environmental factors, such as temperature and soil fertility, could affect physiological processes and so influence forage quality, the large scale patterns of change were mainly a result of the differences in vegetation types. Finally, we reported a negative relationship between forage quantity and quality: higher forage quantity means more crude fiber but less ether extract and crude protein. These findings improve our understanding on the spatial patterns of forage quantity and quality, and provide solid evidence related to the future development of animal husbandry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10016538
Volume :
58
Issue :
10
Database :
Academic Search Index
Journal :
Chinese Science Bulletin
Publication Type :
Academic Journal
Accession number :
86366441
Full Text :
https://doi.org/10.1007/s11434-012-5493-4