TY - JOUR
T1 - Feed safety in dairy cattle feeding
T2 - Evaluation of silage quality based on principal component analysis
AU - Ma, Yujiao
N1 - Publisher Copyright:
© 2023 Journal of Biotech Research
PY - 2023
Y1 - 2023
N2 - The quality of silage has an important impact on the growth and health of dairy cattle. Aiming at its quality evaluation, this study investigated and constructed the quality evaluation model of silage based on principal component analysis (PCA). The evaluation index system of silage quality and safety was established by using the analytic hierarchy process, and then, the comprehensive quality evaluation model of silage based on PCA was established. The results showed that cumulative variance contribution rate of 12 retained principal component feature roots reached 87.63%. According to the pH values, the superior and inferior feed samples from Inner Mongolia, China accounted for 35% and 12.3%, respectively, while superior and inferior feed samples from Beijing, China accounted for 30.48% and 12.24%, respectively. Based on the contents of ammonia nitrogen and organic acids, 72% of samples from Inner Mongolia had an excellent quality grade, while 70% of samples from Beijing had an excellent quality grade. The comprehensive silage quality evaluation model based on PCA demonstrated certain feasibility and effectiveness and was simpler than the construction method and calculation of fuzzy comprehensive evaluation, which positively affected the quality evaluation of silage, and had a certain role in promoting the long-term development of animal husbandry and feed industry.
AB - The quality of silage has an important impact on the growth and health of dairy cattle. Aiming at its quality evaluation, this study investigated and constructed the quality evaluation model of silage based on principal component analysis (PCA). The evaluation index system of silage quality and safety was established by using the analytic hierarchy process, and then, the comprehensive quality evaluation model of silage based on PCA was established. The results showed that cumulative variance contribution rate of 12 retained principal component feature roots reached 87.63%. According to the pH values, the superior and inferior feed samples from Inner Mongolia, China accounted for 35% and 12.3%, respectively, while superior and inferior feed samples from Beijing, China accounted for 30.48% and 12.24%, respectively. Based on the contents of ammonia nitrogen and organic acids, 72% of samples from Inner Mongolia had an excellent quality grade, while 70% of samples from Beijing had an excellent quality grade. The comprehensive silage quality evaluation model based on PCA demonstrated certain feasibility and effectiveness and was simpler than the construction method and calculation of fuzzy comprehensive evaluation, which positively affected the quality evaluation of silage, and had a certain role in promoting the long-term development of animal husbandry and feed industry.
KW - feed safety
KW - hierarchical analysis
KW - principal component analysis
KW - quality evaluation
KW - silage
UR - http://www.scopus.com/inward/record.url?scp=85171579536&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85171579536
VL - 15
SP - 174
EP - 184
JO - Journal of Biotech Research
JF - Journal of Biotech Research
ER -