This study was conducted to find out the effects of seed mixture using new domestic grass varieties orchardgrass ‘Onnuri’ and tall fescue ‘Greenmaster’ on botanical composition and dry matter productivity from 2015 to 2018 in oversown hilly pasture, the central northern area of Korea. This experiment was consisted of 4 mixed grasses (Treatment 1 : tall fescue oriented mixture with imported varieties; Treatment 2 : orchardgrass oriented mixture with imported varieties; Treatment 3 : orchardgrass oriented mixture with domestic varieties, Treatment 4 : tall fescue oriented mixture with domestic varieties). Evaluation of seasonal changes in botanical composition of pasture showed that orchardgrass was the highest in all treatments, ranging from 46 to 89% and Kentucky bluegrass was the second highest in all treatments. Treatment 3 (7,633 kg ha-1) and Treatment 4 (7,570 kg ha-1), mixed grasses using domestic varieties, were showed the highest dry matter yield than Treatment 1(6,950 kg ha-1) and Treatment 2 (6,934 kg ha-1), which were mixed grasses using introduced varieties. Therefore, these results showed that the orchard grass oriented grasses mixture with domestic varieties was good for grassland vegetation and productivity in oversown hilly pasture, the central northern area of Korea.

This study was conducted to evaluate feed value of imported hays and examine current situation of species and hay grade. To evaluate the quality of the imported hay, 133 pieces including 9 species of roughage types were collected at the national hay importers, the TMR companies and livestock farms from 2016 to 2018. The quality grades of imported hay were 3~4 and most imported hay were considered to had low. The ADF, Ash, TDN and DDM in feed composition of alfalfa by quality grades presented significant differences(p<0.05). The quality grade on alfalfa was not similar to the actual quality grades calculated through feed composition. The feed composition of grasses by quality degrees presented significant differences in all contents except DM and CP (p<0.05). As the distributed grasses of the unmarked quality grade was low quality and accounted for 49%, it is urgent to present quality standards based on feed composition. As these results, the grades of imported hays were lower than the marked quality grades. Therefore, the imported roughage’s(hay) price that considered to only quality grades on the marked imported roughages(hay) package can cause a loss to the livestock farms as economic damage. An institutional arrangement should be established to review the quality grades of imported hay.

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid and accurate method of evaluating some chemical compositions in forages. The objective of this study was to evaluate the potential of NIRS, applied to imported forage, to estimate the moisture and chemical parameters for imported hays. A population of 392 imported hay representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1 nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS predicted the chemical parameters with very high degree of accuracy. The R2 and SECV for imported hay calibration were 0.92(SECV 0.61%) for moisture, 0.98(SECV 0.65%) for acid detergent fiber, 0.97(SECV 0.40%) for neutral detergent fiber, 0.99(SECV 0.06%) for crude protein and 0.97(SECV 3.04%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of imported hay in Korea for routine analysis method to evaluate the feed value.

This experiment was carried out to study the effects of different environmental conditions and cultivation techniques on productivity of forage corn in central and southern area of Korea on 2017 and 2018. Average dry matter yield of forage corn at 34 cultivation regions was 13,510kg/ha. Forage productivity of forage corn cultivated at actual production sites have positive correlation with cultivation techniques(p<0.01) but not correlated with cultivation environments. Forage productivity of forage corn have positive correlation with seeding techniques(p<0.01) but not correlated with fertilization techniques. These results suggest that practices of cultivation techniques are more important than cultivation environments for increasing the forage productivity of forage corn. Therefore, yield prediction techniques of forage corn in Korea have to be considered the practices of cultivation techniques along with soil and climate conditions.

The purpose of this study was to analyze the effectiveness of different storage periods of lactic acid bacteria (LAB)-fermented low moisture fresh rice straw silage. The low moisture fresh rice straw sample was inculcated with LAB and stored for different storage periods such as 45, 90, and 365 days, respectively. The low moisture fresh rice straw (LMFRS) silage inoculated with LAB exhibited reduction in pH throughout the fermentation as compared with the control (P<0.05). The lactic acid content was increased at the late fermentation period (90 and 365 days, respectively) in LAB inoculated LMFRS silage as compared with the control (P<0.05). In contrast, the acetic acid and butyric acid concentrations were slightly reduced in the LAB inoculated LMFRS silage sample at 90 and 365 days fermentation, respectively. Meanwhile, the non-inoculated LMFRS silage showed higher amounts of acetic acid and butyric acid at an extended fermentation with low bacterial population as compared with the LAB inoculated LMFRS silage. However, lactic acid concentration was slightly high in the non-inoculated LMFRS silage at early 45 days fermentation. Additionally, the nutrient profile such as crude protein (CP), acid detergent fibre (ADF), neutral detergent fibre (NDF), and total digestibility nutrients (TDN) were not significantly different in control and LAB inculcated samples during all fermentation. Though, the microbial population was greater in the LAB inoculated LMFRS silage as compared with the control. However, the massive population was noted in the LAB inoculated LMFRS silage during all fermentation. It indicates that the inoculated LAB is the main reason for increasing fermentation quality in the sample through pH reduction by organic acids production. Overall results suggest that the LAB inoculums are the effective strain that could be a suitable for LMFRS silage fermentation at prolonged days.

The effects of lactic acid bacteria (LAB) mixtures on low moisture Italian ryegrass (IRG) silage fermentation was evaluated in field conditions. The experiment was categorized into two groups: Un-inoculated (Control) and Inoculated with LAB mixture for four storage periods (45, 90, 180, and 365 days, respectively). Silage inoculated with the LAB mixture had the lowest pH with highest lactic acid production than the control from beginning at 45-365 days at all moistures. Higher LAB counts were observed in inoculated silages than the control silages at whole experimental periods. It is a key reason for the rapid acidification and higher lactic acid production in silages during the storage periods. Overall results suggest that an adding of LAB mixture had positive effects on the increasing aerobic stability of silage and preserved its quality for an extended duration.

This study was carried out to explore the accuracy of near infrared spectroscopy(NIRS) for the prediction of moisture content and chemical parameters on winter annual forage crops. A population of 2454 winter annual forages representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS calibration model to predict the moisture contents and chemical parameters had very high degree of accuracy except for barely. The R2 and SECV for integrated winter annual forages calibration were 0.99(SECV 1.59%) for moisture, 0.89(SECV 1.15%) for acid detergent fiber, 0.86(SECV 1.43%) for neutral detergent fiber, 0.93(SECV 0.61%) for crude protein, 0.90(SECV 0.45%) for crude ash, and 0.82(SECV 3.76%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of winter annual forage for routine analysis method to evaluate the feed value.

Lactic acid bacteria (LAB) were isolated and analysed its fermentation ability in triticale powder at different moisture levels. Furthermore, the antibacterial activity of fermented silage extract against cattle pathogens was also studied. The isolated strains were P. pentosaceus (TC48) and L. brevis (TC50) that confirmed based on biochemical and 16srRNA sequences methods. Extract from LAB fermented silage showed higher antibacterial activity (inhibition zone diameters: 18~24.2 mm) against E. coli P. aeruoginosa, S. aureus and E. Fecalis than the non-inoculated silage extract. TC48 and TC52 strains exhibited high tolerance to artificial gastric, duodenal and intestinal fluids. In summary, lactic acid bacteria mediated fermentation of triticale silage extract showed great antibacterial activity with significant probiotic characteristics might be an effective and safe way to provide new strategies for reducing the incidence of pathogenic bacteria associated diseases in animals.

In this study, we aim to evaluate the phenoilcs profile of fresh freeze dried whole crop rice (FWCR) sample by HPLC–DAD analysis. Firstly, the fresh whole crop rice (before heading stage) was dried using liquid nitrogen and then powdered sample was extracted using methanol-water. The extract was quantified phenolics and flavonoids content by HPLC-DAD. HPLC-DAD analysis showed that the FWCR contained six phenolic acids including; caffeic, p-coumaric, ferulic, and chlorogenic acid, prophyl gallate in addition to five flavonoids; rutin, vitexin, luteolin, qurecetin and kaempferol. Results indicated that ferulic and p-coumaric acids were the major soluble phenolic acids in FWCR, and their concentrations were 3.1 and 2.65 mg/g DW. It can be summarized that the presence of phenolic and flavonoids in FWCR enhance the palatability and feed intake of ruminants.

Different types of lactic acid bacteriaw were isolated (LAB) from legume plants. A total of fifty LAB strains were isolated from legume plants and analysed its growth profiles in Alfalfa and crimson clove soups. Results suggested that all strains were able to grow in alfalfa and crimson clove soups. However, only seven strains were growing well and reduced the pH of the soups than the other strains. The selected strains were characterized and identified by biochemical and molecular tools. Results demonstrated that all strains belonged to the Pediococcus pentosaceus. Also, strains can produce industrially important enzymes and ferment the different carbohydrates substrates in-vitro. Overall results suggested that isolated LAB could be considered as potential strains to improve the fermentation process

This study was conducted to investigate the effect of seeding dates on grassland productivity and botanical composition in oversown pasture located in Cheonan of South Korea. Four treatment groups were established based on the seeding dates: 18th August, 1st September, 15th September and 29th September. Evaluation of seasonal changes in botanical composition of pasture showed that the highest ratios of grass in 18th August and 1st September (pasture species 93% and weeds 7%) and the lowest in 15th September (pasture species 75% and weeds 25%). In the plant length, there is no significantly different in 5% probability level. In the total dry matter yield of grass, 18th August (13,362 kg ha–1) and 1st September (13,988 kg ha–1) were higher than 15th September (11,883 kg ha-1) and 29th September (11,459 kg ha-1). The findings of the this study suggest that seeding by early September the most desirable results for botanical composition and grassland productivity in oversown pasture, Cheonan of South Korea.

This experiment was carried out to evaluate the characteristic and productivity of forage corn varieties sown at the last ten days of May at Cheonan of Korea on 2017 and 2018. Forage corn varieties sown on 24th May 2017 and 25th May 2018 were emerged in 5th and 1st June, respectively. Silking date of forage corns was different among varieties(p<0.05). Stem length of forage corns was not different among the varieties, except Kwangpyeongok(KPA) and Nero IT. Stem diameter of forage corns was not different amaong the varieties. Outbreak rate of black streaked dwarf virus was lower than 3% in all varieties. Total digestible nutrient(TDN) yield was different among corn varieties(p<0.05), which was higher in P32P75, followed by P2088, P31N27, and KPA. The TDN yield of varieties had direct correlation with stem length, stem diameter and ear yield, respectively(p<0.01). Average of TDN in all varieties was 69.8%. These results suggested that forage corn variety with late-seeding adaptability is more important for increasing the productivity of forage corn If harvesting of winter forage crops have to be finished in the middle ten days of May in middle region of Korea.

본 연구는 이탈리안 라이그라스 재배현장에서 재배환경과 재배기술의 차이에 따른 조사료 생산성의 변화 요인을 분석 하기 위하여 2016부터 2017년까지 수행되었다. 우리나라 중부 및 남부지역에서 27개 이탈리안 라이그라스 재배지의 평균 건물수량은 6,940kg/ha이였다. 이탈리안 라이그라스 재배현장의 생산성은 재배환경보다 재배기술과 높은 상관(p<0.01)이 있는 것으로 나타났다. 재배기술 중에서 파종기술 및 포장관리기술과 생산성 간에는 고도의 상관이 있었으나, 시비기술과 생산성 간에는 상관이 없었다. 이상의 결과는 이탈리안 라이그라스의 생산성 향상에는 재배환경보다 재배기술의 현장실천이 더 중요함을 제시하고 있다. 따라서 우리나라 지역별 이탈리안 라이그라스의 생산성 예측기술의 정밀도를 높이기 위해서는 그 지역의 기상 및 토양환경은 물론 재배기술의 적용을 충분히 고려하여야 할 것으로 사료된다.

본 연구는 평창지역의 산지에서 목초 파종시기가 초지의 연차별 식생 및 생산성에 미치는 영향을 구명하고 평창지역의 산지초지 조성에 적합한 피종시기를 설정하고자 2015년 8월부터 2017년 10월까지 평창군에 위치한 서울대학교 국제농업기술대학원의 산지에서 수행되었다. 처리는 총 4처리로 T1: 8월 13일 파종 T2: 8월 27일 파종, T3: 9월 10일 파종, T4: 9월 24일 파종이었다. 월동 후 초지 식생구성을 보면 T1과 T2까지는 목초 식생비율이 98%이상으로 높은 식생밀도를 보였지만 T3이후부터는 급격하게 감소하였다. 분얼의 경우 T1과 T2에서 4.4개 이상으로 양호하였지만 T3이후에는 급격하게 감소하였다. 이러한 초기 월동률의 차이는 이후 목초의 식생 및 생산성에 큰 영향을 주었다. 연차별 식생변화를 보면 T1과 T2의 경우 목초 비율이 81%이상으로 우수하였지만 T4의 경우 상대적으로 불량하였다. 전체 건물 수량의 경우 T2와 T1이 각각 9,042 kg ha-1 와 8,845 kg-1 로 우수하게 나타났지만 T4의 경우 5,086 kg ha-1 로 건물 생산성이 상대적으로 낮게 나타났다. 결과를 종합해보면 평창지역에서 8월 말까지 파종을 완료 한 경우 목초 월동이 향상되었으며 이는 식생이나 생산성 측면에서 유리하게 나타났다.

본 연구는 이탈리안 라이그라스 품종별 내한성 및 생육특성의 변화와 그에 따른 생산성 변화요인을 분석하기 위하여 2017년부터 2018년까지 우리나라 중부지역인 충남 천안에서 수행되었다. 이탈리안 라이그라스의 월동율은 품종 간에 차이가 있었으며(p<0.01), 외국품종보다 국내품종이 대부분 월동이 잘되었다. 조생종에서는 코윈어리의 월동율이 68%로 가장 높았고, Florida 80의 월동율이 35%로 가장 낮았으며, 중생종에서는 코윈마스터의 월동율이 70%로 가장 높았고, 외국품종인 Tam 90이 42%로 가장 낮았다(p<0.05). 외국품종 중에서는 Winter-hawk가 57% 월동하여 다른 외국 품종보다 월동율이 높았다. 건물수량은 품종 간 차이가 많았다(p<0.05). 조생종 중에서는 내한성이 강한 국내품종인 그린팜 2호와 코윈어리가 외국품종인 Florida 80보다 건물수량이 약 3~3.5톤/ha 많았다. 중생종 중에서는 내한성이 강한 국내품종인 코윈마스터가 외국품종인 Winter-hawk나 Tam 90보다 건물수량이 약 2톤/ha 많았다(p<0.05). 이탈리안 라이그라스의 내한성은 건물생산성과 고도의 정의상관이 있었다(p<0.01). 우리나라 중부지역에서 이탈리안 라이그라스를 5월 중순에 수확을 완료해야 한다면, 내한성이 강한 국내 육성 조생 또는 중생품종을 선택하여 재배하는 것이 양질 조사료 생산성 향상에 유리할 것으로 사료된다.

This study was conducted to explore the effects of seeding rate of a seed mixture on grassland productivity and botanical composition. Seeding rates were composed of four different treatments varying by the amount of seed: T1, 50% decrease in seeding rate from standard; T2, standard seeding rate; T3, 50% increase in seeding rate from standard; and T4, 100% increase in seeding rate from standard. In 2016, seasonal changes in grass botanical composition revealed T2, T3, and T4 in portion of grass ratio were the highest with a range of 87–100%, whereas T1 was the lowest of all treatments. In 2017, the botanical composition in T1 showed that the grass ratio in of the first cutting was 91%, but in the fourth cutting its ratio decreased by 75%. The results from both years were combined for each treatment, T4 (11,435 kg ha-1) and T3 (11,162 kg ha-1) demonstrated the highest dry matter yield of the treatments (T1: 8,196 kg ha-1; T2: 9,521 kg ha-1) (p＜0.05). As a result, a 50–100% increase in the seeding rate from the standard demonstrated the best grassland yield and botanical composition.

Near infrared spectroscopy (NIRS) is a rapid and accurate method for analyzing the quality of cereals, and dried animal forage. However, one limitation of this method is its inability to measure fermentation parameters in dried and ground samples because they are volatile, and therefore, respectively lost during the drying process. In order to overcome this limitation, in this study, fresh coarse haylage was used to test the potential of NIRS to accurately determine chemical composition and fermentation parameters. Fresh coarse Italian ryegrass haylage samples were scanned at 1 nm intervals over a wavelength range of 680 to 2500 nm, and optical data were recorded as log 1/reflectance. Spectral data, together with first- and second-order derivatives, were analyzed using partial least squares (PLS) multivariate regressions; scatter correction procedures (standard normal variate and detrend) were used in order to reduce the effect of extraneous noise. Optimum calibrations were selected based on their low standard error of cross validation (SECV) values. Further, ratio of performance deviation, obtained by dividing the standard deviation of reference values by SECV values, was used to evaluate the reliability of predictive models. Our results showed that the NIRS method can predict chemical constituents accurately (correlation coefficient of cross validation, R2 cv, ranged from 0.76 to 0.97); the exception to this result was crude ash (R2 cv = 0.49 and RPD = 2.09). Comparison of mathematical treatments for raw spectra showed that second-order derivatives yielded better predictions than first-order derivatives. The best mathematical treatment for DM, ADF, and NDF, respectively was 2, 16, 16, whereas the best mathematical treatment for CP and crude ash, respectively was 2, 8, 8. The calibration models for fermentation parameters had low predictive accuracy for acetic, propionic, and butyric acids (RPD < 2.5). However, pH, and lactic and total acids were predicted with considerable accuracy (R2 cv 0.73 to 0.78; RPD values exceeded 2.5), and the best mathematical treatment for them was 1, 8, 8. Our findings show that, when fresh haylage is used, NIRS-based calibrations are reliable for the prediction of haylage characteristics, and therefore useful for the assessment of the forage quality.