基于主成分和灰色关联度对全株玉米青贮综合品质的分析

doi:10.16431/j.cnki.1671-7236.2021.04.008

Abstract

Abstract: The purpose of the experiment was to comprehensively analyze the quality of whole-plant corn silage by principal component analysis and grey correlation,and to provide a theoretical basis for the rational use of whole-plant corn silage.The samples were collected from different large-scale pastures located in Huang-Huai-Hai plain of China (Shandong,Henan,Hebei),the middle and lower reaches of Yangtze River (Anhui),the Northwest area (Shaanxi,Shanxi,Qinghai,Ningxia,Gansu,Xinjiang,Inner Mongolia),the Northeast area (Heilongjiang,Jilin,Liaoning),the South China (Guangxi) and Southwest (Yunnan,Guizhou).Relevant indicators of whole-plant corn silage quality in different regions were detected by near-infrared spectroscopy and further comprehensively analyzed by principal component analysis and grey correlation analysis methods.The results showed that:①The nutrient composition and fermentation quality of whole-plant corn silage in different regions were significantly different (P<0.05).②Principal component analysis extracted 4 principal components,and the cumulative contribution rate reached 82.882%.The 4 principal components respectively reflect the content of crude fiber,organic acid,and neutral detergent fiber degradation rate of whole-plant corn silage,and could be used to measure the comprehensive quality of whole-plant corn silage in different regions.The comprehensive quality of whole-plant corn silage in different regions from high to low was Huang-Huai-Hai plain,Northwest,Northeast,middle and lower reaches of Yangtze River,Southwest and South China.③By analyzing the quality of whole-plant corn silage in different regions and comparing with the ideal quality index by grey correlation analysis,the equal weight correlation degree of corn silage quality in different regions was 0.71308-0.71264.The quality of corn silage in Huang-Huai-Hai plain was better than that in Northwest,followed by the Middle and Lower reaches of Yangtze River,Northeast,South China and Southwest.In summary,the results of principal component analysis and grey correlation analysis were basically consistent.The quality of whole-plant corn silage in Huang-Huai-Hai plain and Northwest regions of China was high,while it was low in South China and Southwest regions.The comprehensive evaluation model of whole-plant corn silage quality established based on the two methods could support each other,and had certain feasibility and scientificity.

Key words: whole-plant corn silage; principal component analysis; grey correlation; silage quality; comprehensive evaluation

CLC Number:

S816.6

REN Lijuan, CHEN Yakun, SHAN Liyan, ZHANG Xiaofeng, XU Fenglian, WANG Youyue, WANG Siwei, WANG Kun, BU Dengpan, WANG Jianping, ZHAO Heping, ZHAO Liansheng. Analysis of Comprehensive Quality of Whole Plant Corn Silage Based on Principal Component and Grey Correlation Degree[J]. China Animal Husbandry and Veterinary Medicine, 2021, 48(4): 1211-1221.

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Analysis of Comprehensive Quality of Whole Plant Corn Silage Based on Principal Component and Grey Correlation Degree

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