Evaluation of Energy Digestibility and Prediction of Digestible and Metabolisable Energy in Sunflower Seed Meal Fed to Growing Pigs

Abstract

The experiment was conducted to determine the chemical composition, digestible energy (DE), metabolisable energy (ME) and the apparent total tract digestibility (ATTD) in sunflower seed meal (SFSM) and to develop reasonable prediction equations for estimating energy digestibility based on chemical composition of these meals for growing pigs. Ten SFSMs were collected and 66 crossbred barrows (initial body weight=36.43±5.25 kg) were randomly allocated to one of eleven diets. The basal diet was based on corn and soybean meal which contained 82.2% corn, 14.8% de-hulled soybean meal and 3% premix. The test diets contained 30% SFSM at the expense of corn and soybean meals. The experiment comprised a 7-d adaptation period followed by a 5-d collection period of faecal matter and urine. On a dry matter (DM) basis, the content of crude protein, neutral and acid detergent fibre, and gross energy (GE) ranged from 29.33 to 39.09%, 38.15 to 55.40%, 24.59 to 37.34% and 18.65 to 21.50 MJ/kg, respectively. The concentration of DE and ME ranged from 10.51 to 12.47 MJ/kg and 10.26 to 12.16 MJ/kg of DM, respectively. The DE values and ATTD of GE among the ten SFSMs significantly differed (P<0.05). The ATTD of GE ranged from 52.86 to 63.90%. The best models for predicting DE and ME were also established. In conclusion, the chemical composition of SFSM was variable (coeffiecient of variance>10%) among the ten SFSMs (DM). The results of DE, ME and prediction equations could be applied to evaluate the energy digestibility of SFSM in growing pigs.

Effects of dietary fibre level and body weight of pigs on nutrient digestibility and available energy in high‐fibre diet based on wheat bran or sunflower meal

“…Noblet and van Milgen () reported that energetic efficiency ofDF (60%) is lower than that of lipids (90%) and starch (82%). Concentrations of DE and ME in SFM were within the range of values previously reported by Liu et al (). The lower DE concentration in HPB diet compared with LPB diet may be due to its higher fibre concentration and lower digestibility of fibre which contributed to the lower ATTD of GE in HPB diet.…”

“…The decreased AID and SID of Met as dietary NDF level increasing from 12% to 16% may be due to the ‘net synthesis’ for Met in the large intestine of pigs when diets are supplemented with DF (Wang et al, ). The increased ileal digestibility of some AA in diet with or without SFM as dietary NDF increased from 12% to 16% was mainly depended on chemical composition and AA composition of WB and SFM (Liu et al, ; Rojas, Vinyeta, & Stein, ). The primary reason for the decreased SID of AA as dietary NDF increasing from 12% to 16% may be due to the specific endogenous losses induced by high fibre and so for the calculation values of SID.…”

“…Sunflower meal (SFM) containing approximately 30%–33% crude protein (CP) and 40%–55% neutral detergent fibre (NDF; Liu et al, ; Rodriguez et al, ) can replace soybean meal (SBM) in pig feed as the primary source of protein (Stein, Lagos, & Casas, ). Wheat bran (WB) is a common type of fibre‐rich ingredient widely formulated in swine diets.…”

Net energy content of rice bran, corn germ meal, corn gluten feed, peanut meal, and sunflower meal in growing pigs

“…Diets included a corn-soybean meal based basal diet and 5 test diets containing 29.25% FFRB, 29.25% CGM, 24.38% CGF, 19.50% PNM, or 29.25% SFM added at the expense of corn and soybean meal ( Table 2 ). The inclusion levels of the five ingredients used in this experiment were based on inclusion levels used in previous experiments [ 1 , 2 , 4 , 5 ].…”

“…Several research projects have been conducted to evaluate the nutrient content and the digestibility of energy of FFRB [ 1 ], CGM and CGF [ 2 , 3 ], PNM [ 4 ], and SFM [ 5 , 6 ]. However, there is a lack of information about the measured net energy (NE) content of these ingredients and the NE values of these ingredients that are available are based on prediction equations using digestible energy (DE), metabolizable energy (ME) or digestible nutrients contents [ 7 ].…”