PSVII-8 - Effects of Processed Saccharina Latissima and Ascophyllum Nodosum on Ruminal Fermentation and Methane Production in Continuous Culture

Abstract: The aim of this study was to evaluate the effects of processed dietary supplements derived from two seaweeds, Saccharina latissima (SL) and Ascophyllum nodosum (AN), on microbial methane production and fermentation profile using in vitro methods. Four dual-flow continuous culture fermenters were utilized in a 4x4 Latin Square design to assess these 4 supplements: unwashed, coarsely milled SL (UNW), 3-min rinsed SL (3MR), 20-sec blanched SL (20SB), and a crude phlorotannin extract from AN (PHLT). Treatments were randomly assigned to fermenters and were top dressed on the total mixed ration (TMR) at 5% of total dry matter (DM). Four, 10-d experimental periods were conducted, consisting of a 7-d equilibration period followed by a 3-d sampling period. Vessel pH was continually measured, and effluent samples were collected for volatile fatty acid (VFA) analysis and calculation of DM, organic matter (OM), neutral detergent fiber (NDF) and acid detergent fiber (ADF) digestibilities. Methane was measured prior to the first AM and PM feedings during the 3-d sampling period. Data were analyzed using the PROC MIXED procedure of SAS (9.4) with fermenter as the random effect and period and treatment as fixed effects. Processed treatments (3MR= 7.86, 20SB= 5.75, PHLT= 10.46 mg/dL) yielded less methane (P < 0.02) than unprocessed (UNW= 24.06 mg/dL). Apparent digestibilities of DM, OM, NDF and ADF were not affected by treatment. Total VFA (mM) was greater (P = 0.02) in 3MR than PHLT. The acetate to propionate ratio (A:P) was greater (P < 0.01) in PHLT compared with 20SB, 3MR and UNW (5.62 vs 1.47, 1.27 and 1.54, respectively). Time spent below pH 5.8 during fermentation was not affected by treatment. These results indicate that seaweed processing method can affect methane production in vitro without negatively impacting rumen fermentation and should be further investigated using in vivo models.