• 한국유기농업학회지
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• 제19권4호
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• pp.513-528
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• 2011

This study was conducted to evaluate the nutritional value of locally produced organic agricultural by-products to substitute imported organic feeds for organic ruminant farming. Imported organic feeds (corn grain, soybean meal, soybean seed, oat grain, barley grain, wheat grain, buckwheat, sunflower seed meal) and byproducts (rice bran, grape seed meal, rice straw, soybean hull, soybean curd, rice hull, green kernel rice, and crushed rice grain) were analyzed for chemical composition and NDF, ADF, mineral, and amino acid contents and anti-nutritional factors. Dry matter, NDF and ADF contents in organic feeds were higher than those in conventional feeds. Especially, the 9.65% fat content of organic soybean meal was 6 times higher than the 1.95% fat content of conventional soybean meal. Fat contents of rice bran, grape seed meal, green kernel rice, and crushed rice grain were 25.66, 6.09, 3.57 and 1.59%, respectively. Protein contents of soybean hull and soybean curd were 14.68 and 19.87%, respectively, which are highest among organic by-products. Levels of aflatoxin in all feeds were below the safety level. Therefore, organic rice bran, green kernel rice and crushed rice as energy source, and soybean hull and soybean curd as protein source could partial replace imported feeds for organic ruminant farming.

• 현장농수산연구지
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• 제25권4호
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• pp.60-66
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• 2024

본 실험은 자돈 사료 내 섬유소 공급원 및 첨가 수준의 차이가 이유자돈의 성장 능력에 미치는 영향을 평가하고자 수행되었다. 섬유소 공급원으로 sugar beet pulp와 oat hull을 각 2%, 8% 첨가 수준을 달리하여 자돈에 급이하였으며, 처리구는 사료 내 항생제를 0.1% 첨가한 PC 처리구의 성장 성적에 비해 낮았으나, 항생제를 첨가하지 않은 NC 처리구에 비해 높게 나타났다. 또한 sugar beet pulp 8%를 급이 한 처리구는 PC 처리구와 유사한 성장 성적을 보였으며, 이는 섬유소 공급이 이유 후 자돈의 장내 환경에 긍정적 영향을 미친 것으로 사료된다.

• Asian-Australasian Journal of Animal Sciences
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• 제15권7호
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• pp.968-973
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• 2002

To evaluate the chewing activity of ruminant feeds, four Holstein steers (average body weight $742{\pm}15kg$) were employed. Experimental feeds were four roughages ($NH_3$-treated rice straw, alfalfa hay, corn silage, orchard grass hay) and four concentrate ingredients (cotton seed hull, beet pulp pellet, barley grain, oat grain). Regarding palatability for each experimental feeds which was overviewed during the adjustment period, animals were fed roughages alone, but with 50% $NH_3$-treated rice straw ($NH_3$-RS) for concentrate ingredients. Therefore, all the data for concentrate ingredients was derived by extracting the result per unit obtained from steers fed $NH_3$-RS alone. The experiment was conducted using a 4${\times}$4 Latin square designs for roughages and concentrate ingredients. Experimental feeds were fed during a 10 d adaptation and 2 d chewing data collection during each experimental period. Animals were gradually adjusted to the experimental diet. Dry matter intake (DMI) was restricted at a 1.4% of mean body weight (10.4 kg DM/d). Time spent eating and eating chews per kilogram of DMI were greatest for beet pulp pellet, and lowest for barley grain (p<0.05). Time spent rumination per kilogram of DMI was greatest for $NH_3$-RS, cotton seed hull and orchard grass, but rumination chews were greatest for cotton seed hull and orchard grass except $NH_3$-RS (p<0.05). Roughage index value (chewing time, minute/kg DMI) was 58.0 for cotton seed hull, 56.1 for beet pulp pellet, 55.5 for $NH_3$-RS, 53.1 for orchard grass hay, 45.9 for corn silage, 43.0 for alfalfa hay, 30.0 for oat grain, and 10.9 for barley grain. The ratio of rumination time to total chewing time (eating plus ruminating) was about 72% for the roughages except corn silage (66.9%), and followed by cotton seed hull (69.5%), and ranged from 49.5% to 52.9% for other feeds. Higher percentages of rumination in total chewing time may be evidently indicate the characteristics of roughage. Therefore, this indicate that the chewing activity of concentrate ingredients can be more fully reflects by the ruminating time than total chewing time (RVI), although it is reasonable to define the RVI for roughages.

• Plant Resources
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• 제4권3호
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• pp.140-146
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• 2001

This study was conducted to investigate the $\beta$-glucan contents and their characteristics of winter cereals according to particle sizes and milling recoveries. Sieved fractions differed in their average contents of $\beta$-glucans, and the coarse fraction had higher contents of $\beta$-glucan than finely milled fractions. In all winter cereals, the $\beta$-glucan contents of raw flours were higher than those of their brans, and the highest $\beta$-glucan contents of every cereals were observed at 100 mesh > or 100-140 mesh fractions except the Chalssalbori fractions which showed the higest $\beta$-glucan contents (12.9%) at 140-200 mesh fraction. As compared with the $\beta$-glucan content of Chalbori among the various milling recoveries, the $\beta$-glucan was distributed more evenly throughout the endosperm but $\beta$-glucan content in bran of Chalbori was only 1.5%. However, $\beta$-glucan content of Chalssalbori (hull-less waxy barley) was the highest in the subaleurone region (8.2%) and declined slightly toward inner layers of grain. This results suggest that $\beta$-glucan distribution between high (Chalbori) and low $\beta$-glucan barley (Chalssalbori) may explain the difference in milling performance of barley. On the other hand, $\beta$-glucan contents of two rye varieties (Chilbohomil, Chunchoohomil) were lower than those of two waxy barley varieties, and the higest $\beta$-glucan contents were observed at the 60% milling recoveries. In all winter cereals, the L-values (lightness) of raw flours were higher than those of brans. And the L-values of barley varieties were higher than those of oat and rye varieties. As the particle sizes and milling recovery ratios were decreased, the L-value were increased. The a-values (redness) in brans of every winter cereals were higher than those of every particle size flours and every milling ratio fractions, and this tendency was observed in the b-values (yellowness) of every particle size of cereal flours. The L and b-value of barley, the b-value of oat, and L, a, b-value of rye have the significant relationship with the $\beta$-glucan contents, respectively. This results represent the fact that $\beta$-glucans affected the color of the flours and pounded grains of winter cereals.

• Asian-Australasian Journal of Animal Sciences
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• 제16권8호
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• pp.1143-1150
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• 2003

This study was conducted to investigate in vitro methane production of feed ingredients and relationship between the content of crude nutrients and methane production. Feed ingredients (total 26) were grouped as grains (5 ingredients), brans and hulls (8), oil seed meals (9) roughages (3), and animal by-product (1) from their nutrient composition and their methane production protential were measured by in vitro gas test. Among the groups, the in vitro methane productions for both 6 and 24 h incubation were highest in grains, followed by brans and hulls, oil meals and roughages, animal byproducts. Within the group of grains, methane production from wheat flour was the highest, followed by wheat, corn, tapioca, and then oat. Within the brans and hulls, soybean hull showed the highest methane production and cotton seed hull, the lowest. Methane production from oil meals was lower compared with grains and brans and hulls, and in decreasing order production from canola meal was followed by soybean meal, coconut meal, and corn germ meal (p<0.01). Three ingredients were selected and the interactions among feed ingredients were evaluated for methane production. Correlation coefficient between measured and estimated values of the combinations were 0.91. Methane production from each feed ingredient was decreased with increasing amount of crude fiber (CF), protein (CP) and ether extract (EE), whereas positive relationship was noted with the concentrations of N-free extract (NFE). The multiple regression equation (n=134) for methane production and nutrient concentrations was as follows. Methane production (ml/0.2 g DM)=(0.032${\times}$CP)-(0.057${\times}$EE)-(0.012${\times}$CF)+(0.124${\times}$NFE) (p<0.01; $R^2$=0.929). Positive relationship was noted for CP and NFE and negative relationship for CF and EE. It seems possible to predict methane production potential from nutritional composition of the ingredients for their effective application on formulating less methane emitting rations.