Comprehensive evaluation of production characteristics of annual forage crops based on principal component analysis:A case study of Zhuanglang in Gansu

Yan-zhong Yang; Wen-qi Zhou; Xiao-rong Lian; Si-rong Kou

doi:10.11829/j.issn.1001-0629.2017-0284

Pratacultural Science > 2018 > 12(6): 1503-1509. > DOI: 10.11829/j.issn.1001-0629.2017-0284

Yan-zhong Yang, Wen-qi Zhou, Xiao-rong Lian, Si-rong Kou. Comprehensive evaluation of production characteristics of annual forage crops based on principal component analysis:A case study of Zhuanglang in Gansu[J]. Pratacultural Science, 2018, 12(6): 1503-1509. DOI: 10.11829/j.issn.1001-0629.2017-0284

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Comprehensive evaluation of production characteristics of annual forage crops based on principal component analysis:A case study of Zhuanglang in Gansu

Crops Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, Gansu, China

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Received Date: May 26, 2017
Revised Date: January 17, 2018
Published Date: June 19, 2018

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Abstract

Annual forage crop is an important source of forage supply during spring and winter in the Loess Plateau of Gansu Province. However the optimal choice of annual forage crops has become a bottle-neck in the establishment and development of annual pastures in this area. Accordingly, dry matter, crude protein, acid detergent fiber, neutral detergent fiber, digestible dry matter, digestible dry matter intake, relative feed value, and water use efficiency were used as indicators in a model, which was then subjected to principal component analysis to comprehensively evaluate the production characteristics of annual forage crops in the Loess Plateau in Gansu Province. These results showed that the dry matter yield of Sudan grass was the highest, followed by that of oats, while that of millet was the lowest. This study demonstated that Sudan grass(Sorghum sudanense)could be planted in large scale on the Loess Plateau of Zhuanglang in Gansu Province.
- principal component analysis,
- annual forage crops,
- cultivated grassland,
- forage crops nutrition,
- dry matter,
- water use efficiency

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References

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