Analysis and evaluation of nutritional components of wild forage in Kelan County
ZHAO Peng
LI Jun
FANG Zhihong
GUO Hongyu
LIU Yin
ZHANG Li
Abstract：The experiment aimed to investigate the nutritional value of wild forage in Kelan County.A total of 33 species of wild plants distributed in Kelan County,Shanxi Province,were selected for the determination of conventional nutritional components.Combined with the relative feed value(RFV),the grey relational grade method was used to comprehensively evaluate their nutritional value.The results showed that the contents of crude protein(CP),acid detergent fiber(ADF),neutral detergent fiber(NDF),crude fat(EE),crude ash(Ash),calcium(Ca),and phosphorus(P)in leguminous wild forage grasses were 15.40％to 22.50％,26.00％to 42.40％,29.00％to 50.40％,1.20％to 3.90％,4.34％to 13.22％,1.03％to 2.30％,and 0.09％to 0.52％,respectively,and the RFV was 104.00 to 207.00.For wild forage grasses of the Asteraceae,the CP,ADF,NDF,EE,Ash,Ca,and P contents were 11.90％to 16.20％,33.50％to 42.60％,41.20％to 46.80％,2.20％to 5.30％,1.43％to 11.82％,1.50％to 1.89％,and 0.12％to 0.34％,respectively,and the RFV was 111.00 to 142.00.For grasses of the Poaceae,the CP,ADF,NDF,EE,Ash,Ca,and P contents were 10.50％to 19.90％,30.20％to 43.80％,37.30％to 67.40％,1.70％to 2.50％,6.23％to 15.21％,0.46％to 1.33％,and 0.20％to 0.39％,respectively,and the RFV was 76.00 to 163.00.For forage grasses of other families,the CP,ADF,NDF,EE,Ash,Ca,and P contents were 10.20％to 24.90％,25.50％to 42.80％,34.20％to 59.10％,2.20％to 4.80％,5.74％to 17.82％,0.01％to 2.35％,and 0.10％to 0.54％,respectively,and the RFV was 95.00 to 175.00.The grey relational analysis comprehensive evaluation showed that Malva verticillata and Chenopodium album exhibited high nutritional value,15 forage species showed good nutritional value,while 16 species were rated as moderate.The study indicates that Malva verticillata and Chenopodium album have excellent nutritional value,providing valuable references for the future utilization of wild forage resources in Kelan County.
Keywords：wild foragenutritional composition analysisgrey relational analysisrelative feed value
Publication Date：2025-09-16
Online Publishing Date：2025-11-11(First online date of this platform, not the publication date of the document)
Pages：6( 104-109 )