The evaluation of nutrient compositions of alfalfa hay and corn silage used in dairy farms in Marmara Region, Türkiye


KARA Ç., Urkmez E., Acar A., Abdullahoglu E., Orman A., Efil M., ...Daha Fazla

JOURNAL OF THE HELLENIC VETERINARY MEDICAL SOCIETY, cilt.76, sa.1, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 76 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.12681/jhvms.37483
  • Dergi Adı: JOURNAL OF THE HELLENIC VETERINARY MEDICAL SOCIETY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Veterinary Science Database
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

The study aimed to demonstrate the nutritional variations of alfalfa hays and corn silages used in dairy farms in Marmara Region, T & uuml;rkiye. In addition, the present study was conducted to evaluate the relative feed value (RFV) and total digestible nutrients (TDN) levels of these forages. Twenty diverse alfalfa hay and twenty-six diverse corn silage samples were taken from dairy farms (n=17) with a minimum of 50 lactating cows in Marmara Region throughout 12 months. The highest variations in nutrient composition for alfalfa hay samples were found for neutral detergent fiber (NDF) and acid detergent fiber (ADF) levels. The highest variations concerning the nutrient content of corn silage samples were observed for starch, NDF and ADF values. Correlations between RFV and TDN equations and RFV and crude protein (CP) were significant for alfalfa hay (P<0.001). Correlations between RFV and TDN equations and RFV and starch content were significant for corn silage (P<0.001). RFV calculation can be used as an indicator for evaluating the quality of alfalfa hay according to our results of the correlations between RFV and TDN equations and the RFV and CP content. In addition, RFV for corn silage can be considered with respect to the quality evaluation because of the significant correlations between RFV and TDN equations and RFV and starch content. The results obtained from our study will contribute to the database of nutrient compositions of alfalfa hay and corn silage.