Luận án Synergic effect of cassava (manihot esculenta crantz) foliage, brewer’s grains, and biochar on methane production and performance of ruminants

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The Plant cell, 24(6), 2696-706. Yiannikouris, A., Francois, J., Poughon, L., Dussap, C. G., Bertin, G., Jeminet, G., Jouany, J. P., 2004. Adsorption of zearalenone by beta-D-glucans in the Saccharomyces cerevisiae cell wall. Journal of Food Protection, 67, 1195–1200. Zlotnik, H., Fernandez, M. P., Bowers, B., Cabib, E., 1984. Saccharomyces cerevisiae mannoproteins form an external cell wall layer that determines wall porosity. Journal of Bacteriology 159, 1018–1026. CHAPTER 2. THE EFFECT OF SUPPLEMENTATION WITH “BITTER” OR “SWEET” VARIETIES OF CASSAVA LEAVES ON METHANE PRODUCTION IN AN IN VITRO INCUBATION Abstract The objective of the experiment is that comparing the effect of leaves from a sweet variety of cassava (Gon) and from bitter varieties (Japan, KM 94 and KM 140-1) on methane production, these cassava varieties were included as sources of protein in an in vitro fermentation of cassava root pulp supplemented with urea. Four treatments (Gon, Japan, KM 94 and KM 140-1) were designed in a completely randomized design (CRD) with four replications. Results showed that methane production was lower when leaves from bitter rather than sweet cassava were the protein source. There was a negative curvilinear relationship between the levels of HCN in the leaves and methane production. Condensed tannins were in the range from 2.0 to 2.6% (in DM) considered to favor escape of dietary protein from intestinal digestion and did not differ between sweet and bitter varieties. Ammonia concentration in the digesta after 24h fermentation was higher when leaves from sweet rather than bitter cassava was the protein source. Key words: condensed tannins, escape protein, HCN, ammonia, protein source 2.1 Introduction Recent industrial development of cassava root processing for extraction of starch released source of abundant cassava pulp. Cassava pulp and other by-products of cassava such as leaves, and stalk have potential feeding value for livestock. Cassava by-product needs to utilize in ruminant’s feeding system is cassava pulp, due to its negative fermentation impact lead to polluted environment. Cassa pulp represents approximately 10 to 15% of the original root weight (Khempaka et al. 2007). On a dry matter (DM) basis, cassava pulp contained 70% starch, 1.70% ash, 1.55% crude protein (CP), 27.8% crude fiber (CF) and 0.12% ether extract (EE) (Sriroth et al. 2000). The pulp is very low in protein; however, the foliage is high in CP with content of more than 20% in DM (Lukuyu et al. 2014). It was reported by Ffoulkes and Preston (1978) that fresh cassava foliage could replace soybean meal as the only protein source in a fattening diet for cattle based on ad libitum molasses-urea. Preston and Leng (2009) postulated that part of the cassava leaf protein had “rumen-escape” characteristics which helped to balance the microbial protein produced from the rumen fermentation of molasses supplemented with urea. Cassava products contain cyanogenic glucosides which liberate hydrocyanic acid (HCN) when enzymatically degraded. Cyanogenic glucosides exist as linamarin and lotaustralin in unbruised leaf (Nartey 1968). When the cellular structure is broken, the glucoside is exposed to extracellular enzymes such as linamarase which gives rise to toxic hydrocyanic acid. In studies on bio-digestion of cassava residues it was shown that the HCN liberated in the digestion process was toxic to methanogenic bacteria (Smith et al. 1985; Rojas et al. 1999). It is therefore postulated that a similar process could take place in the rumen of cattle fed cassava products, which could be an advantage as a strategy for reducing greenhouse gas emissions from ruminant animals. Sweet cassava variety are generally categorized into “sweet” varieties suitable for human consumption. The “bitter” varieties more appropriately used for industrial production of starch. It is understood that the ‘bitter” varieties are so-called because they have higher concentrations of cyanogenic glucosides making them potentially toxic to humans and animals. Establishing a feeding system from cassava by-product is limited the available information on its effectiveness and the impact of different level of HCN concentration in cassava foliage varieties on reduced methane production is not clear. Therefore, the hypothesis of this study was to test that methane production in an in vitro rumen fermentation would be reduced when urea-supplemented cassava root pulp was incubated with the leaves from bitter, rather than sweet, varieties of cassava. 2.2 Materials and methods Location and duration The in vitro experiments were conducted in the laboratory of Nong Lam University, Ho Chi Minh city, Viet Nam, in December 2014. Experimental design The four treatments in a completely randomized design (CRD) were the leaves of four cassava varieties (Gon, Japan, KM94 and KM 140-1) with four replications. The substrates were cassava pulp and urea. The leaves were added to provide an overall level of 12.8% crude protein in substrate DM. Table 2.1 Composition of the substrates Gon Japan KM94 KM 140-1 DM basis, % Cassava pulp 73.1 73.1 73.1 73.1 Cassava leaves 25 25 25 25 Urea 1.8 1.8 1.8 1.8 Fresh basis, g Cassava pulp 10.4 10.4 10.4 10.4 Cassava leaves 12.3 9.8 12.2 13.5 Urea 0.216 0.216 0.216 0.216 A simple in vitro system was used based on the procedure reported by Inthapanya et al. (2011). Material preparation The cassava leaves were from plants five months old growing in different locations in Cam My, Dong Nai province. Leaves (without petioles) were selected at a point approximately one third of the height of the plant measured from the top. They were stored in plastic bags to avoid loss of moisture. In the laboratory, the fresh leaves were chopped into small pieces and then ground (1mm sieve). Dry cassava pulp was taken from the Wuson starch factory, Binh Phuoc Province. Rumen fluid was taken from a Holstein male animal immediately after it was slaughtered at the local abattoir. Rumen fluid was filtered directly through 2 layers of cloth to contain in thermal flask to keep warm, then moving quickly to laboratory for mixing. The 12 grams of substrates (Table 2.1) were mixed with 0.24 liters of rumen fluid and followed by 0.96 liters of buffer solution (Table 2.2). This mixture was contained in the fermentable bottle, gassed with carbon dioxide, and incubated in a water bath at 38°C for 24h. Table 2.2 Ingredients in buffer solution Ingredients CaCl2 NaHPO4.12H2O NaCl KCl MgSO4.7H2O NaHCO3 Cysteine g/liter 0.04 9.3 0.47 0.57 0.12 9.8 0.25 Source: Tilley and Terry (1963) Measurements The gas volume was measured by water displacement from the receiving bottle suspended in water. The bottle was calibrated at intervals of 50ml. The methane percentage in the gas was measured with a Crowcon meter (Crowcon Instruments Ltd, UK). The DM and crude protein contents of the substrates were determined according to AOAC (1990) methods. Ammonia was analysed in the filtrate after separating the solids using a cloth filter. HCN was determined by titration with AgNO3 after boiling the sample in KOH to concentrate the HCN. Tannin was analyzed by the Lowenthal method consisting of boiling the leaves in 0.1N H2SO4, adding indigo dye and titrating with potassium permanganate. Statistical analysis The data were analysed with the general linear model (GLM) option in the ANOVA program of the Minitab software (Minitab 2000). Sources of variation were treatments, and error. The regression model: Yij = μ + Ti + eij Y is the observation random variable representing the response for cassava varieties. à is the overall mean. Ti term the treatment effect (i=1-4). eij is random error. 2.3 Results and discussion Results Chemical composition of the substrate The cassava leaves contained a high level of crude protein (27.5-31.8% CP in DM); the cassava pulp had less than 3% CP in DM (Table 2.3). The starch residue in cassava pulp is abundant, therefore, it was used as an energy source effectively in ruminant feeding system by adding non-protein source such as urea (Phanthavong et al. 2016). The concentration of HCN in Gon variety is lowest among varieties, therefore, it does not taste bitter like the rest of three cassava varieties (Japan, KM94 and KM140-1). In cassava field, Gon variety is called “sweet” cassava and is grown for human consumption. Japan, KM94 and KM140-1 varieties was called “bitter” varieties and appropriately used for industrial production of starch. Table 2.3 Chemical composition of the ingredients in the substrate Gon Japan KM 94 KM 140-1 Pulp Dry matter, % 24.4 30.6 24.6 22.2 84.4 Crude protein, % in DM 32.1 27.5 30 29.7 2.5 Starch, % in DM - - - - 53.5 (*) HCN concentration, mg/kg DM 339 419 570 826 <5 (*) Data taken from Khempaka et al. (2009) Gas production, ammonia concentration and DM mineralized According to Makkar (2004) dry matter solubility is to evaluate the solubility of both fermentable matter and non-fermentation matter, while gas production only measured fermentable products but did not contribute by soluble non-fermentation matter. Gas production after 24 hours fermentation did not differ among the treatments (Table 2.4) reflected the extent of rumen degradation is the same among cassava varieties. But the percentage of DM mineralized (or DM solubilized) was lower in Gon cassava variety than in the rest of three varieties (Japan, KM94 and KM140-1) among which there were no differences. Ammonia concentration in the fermentation medium at the end of incubation was higher for Gon cassava than for other varieties, although, the condensed tannin is no significant difference among cassava varieties (Table 2.4). Table 2.4 Mean values for gas production in 24 hours, DM mineralized and ammonia in an in vitro rumen fermentation. Gon Japan KM 94 KM 140-1 SEM p value Gas, ml/24h 425 520 515 458 39.6 0.300 DM mineralized, % 26.6a 33.6 ab 32.6 ab 38.2 b 2.5 0.044 Ammonia mg/L 197 175 177 170 12.3 0.45 ab Mean values in rows without common letter are different at p<0.05 Methane, HCN and condensed tannin
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