TURKISH JOURNAL OF AGRICULTURE: FOOD SCIENCE AND TECHNOLOGY, cilt.12, sa.12, ss.2624-2630, 2024 (Hakemli Dergi)
n this study, it was aimed to establish the correlations between actual dry matter intake (DMI) andsome animal (body weight, (BW)) and pasture (crude protein (CP); neutral detergent fiber (NDF);in vitro dry matter digestibility (IVDMD); dry matter yield (DMY); herbage allowance (HA);herbage mass (HM); metabolizable energy (ME); relative forage quality (RFQ); total digestiblenutrients (TDN)) based factors to formulate precise regression equations for DMI prediction. Forthis purpose, data (n = 36, 2 years × 3 blocks × 6 data collection) were utilized for two grazingseasons (2020–2021) on cocksfoot (Dactylis glomerata), meadow fescue (Festuca pratensis) andtall fescue (Festuca arundinacea) mixed pastures with Karayaka male lambs at an average age of 2months for 60 days in each season. Positive correlations were determined between DMI and BW(0.777), HA (0.814), DMY (0.844), and NDF (0.609), while DMI had negative correlations withIVDMD (-0.738), RFQ (-0.357), CP (-0.209), TDN (-0.177) and ME (-0.039). In addition, animaland pasture–based factors were evaluated by principal component analysis to determine the in–cooperating variables in variance. As a result, equations were developed by using parameters withhigh correlation coefficient and the best–fit 3 equations for predicting DMI of lambs grazingcocksfoot, meadow fescue and tall fescue pastures: (I) -1224.09 + 39.90BW (kg) + 33.69HA (kgDM/ kg BW) + 8.22NDF (% of DM), r2=0.815, II) -701.47 + 18.96BW (kg) + 673.61DMY (kg/per square meters) + 8.19NDF (% of DM), r2=0.807, III) -325.32 + 43.49HA (kg DM/kg BW)-2.21IVDMD (%) + 8.57NDF (%), r2=0.786)
In this study, it was aimed to establish
the correlations between actual dry matter intake (DMI) and some animal (body
weight, (BW)) and pasture (crude protein (CP); neutral detergent fiber (NDF); in vitro dry matter digestibility
(IVDMD); dry matter yield (DMY); herbage allowance (HA); herbage mass (HM);
metabolizable energy (ME); relative forage quality (RFQ); total digestible
nutrients (TDN)) based factors to formulate precise regression equations for
DMI prediction. For this purpose, data (n = 36, 2 years × 3 blocks × 6 data
collection) were utilized for two grazing seasons (2020–2021) on cocksfoot (Dactylis glomerata), meadow fescue (Festuca pratensis) and tall fescue (Festuca
arundinacea) mixed pastures with
Karayaka male lambs at an average age of 2 months for 60 days in each season.
Positive correlations were determined between DMI and BW (0.777), HA (0.814),
DMY (0.844), and NDF (0.609), while DMI had negative correlations with IVDMD
(-0.738), RFQ (-0.357), CP (-0.209), TDN (-0.177) and ME (-0.039). In addition,
animal and pasture–based factors were evaluated by principal component analysis to
determine the in–cooperating variables in variance. As a result, equations were
developed by using parameters with high correlation coefficient and the best–fit 3 equations
for predicting DMI of lambs grazing cocksfoot, meadow fescue and tall fescue
pastures: (I) -1224.09 + 39.90BW (kg) + 33.69HA (kg DM/ kg BW) + 8.22NDF (% of
DM), r2=0.815, II) -701.47
+ 18.96BW (kg) + 673.61DMY (kg/ per square meters) + 8.19NDF (% of DM), r2=0.807, III) -325.32 + 43.49HA
(kg DM/kg BW)-2.21IVDMD (%) + 8.57NDF (%), r2=0.786).