1. 수원지역에서 알팔파 수량예측모델링을 통해 향상된 기상변수 탐색 및 토양변수 선별

김지융,김문주,Peng JingLun,이배훈,김시철,Befekadu Chemere,조무환,김병완,성경일 한국초지조사료학회 2019 한국초지조사료학회 학술대회논문집 Vol.2019 No.06

10. 수원지역에서 알팔파 수량의 유효범위 내 기후 및 토양요인을 고려한 건물수량 예측모델

김지융,김문주,Peng JingLun,이배훈,김시철,Befekadu Chemere,조무환,김병완,성경일 한국초지조사료학회 2018 한국초지조사료학회 학술대회논문집 Vol.2018 No.09

20. 객토 간척지에서 석고처리가 알팔파 수량에 미치는 영향

김지융,이배훈,김시철,Befekadu Chemere,Peng JingLun,김문주,조무환,김병완,성경일 한국초지조사료학회 2019 한국초지조사료학회 학술대회논문집 Vol.2019 No.06

면양에서 사료전용 벼와 식용 벼의 실제 TDN함량과 추정 TDN함량 간 비교

김지융,이배훈,Jalil Ghassemi Nejad,김병완,성경일 강원대학교 동물자원공동연구소 2018 동물자원연구 Vol.29 No.1

The objective of this study was to evaluate the accuracy of equation being used to estimate the total digestible nutrients (TDN) of whole crop rice silage (WCRS) in sheep. To compare the observed and estimated TDN contents [estimated TDN content=87.57-(0.737×ADF)], two varieties of WCRS from Nokyang (NS) and Samgwang (SS) as forage and food source, respectively, were used as a treatment. Nine female Corriedale sheep (average body weight: 49.2±6.3 kg) were used as the experimental animals. The ewes were fed according to their nutrient requirements at the maintenance level. To check the difference between the observed and estimated TDN contents, one sample non-parametric t-test was applied. The CP, NFE and CF contents of the NS were 43.6, 74.2 and 64.2%, respectively, and that of the SS were 46.2, 58.1 and 44.9%, respectively. The observed and estimated TDN contents of the NS were 63.5 and 61.5%, where there was no significant difference. The observed and estimated TDN contents of the SS were 48.9 and 59.0%, where there was significant difference (p<0.05) This research confirmed the validity of TDN estimation equation being used for estimation of TDN of WCRS as forage source, but further research is recommended on the equation for estimating TDN contents of WCRS as food source.

수량예측모델을 통한 Alfalfa 수량에 영향을 미치는 기후요인 및 토양요인의 기여도 평가

김지융,김문주,조현욱,이배훈,조무환,김병완,성경일 한국초지조사료학회 2021 한국초지조사료학회지 Vol.41 No.1

The objective of this study was to access the effect of climate and soil factors on alfalfa dry matter yield (DMY) by the contribution through constructing the yield prediction model in a general linear model considering climate and soil physical variables. The processes of constructing the yield prediction model for alfalfa was performed in sequence of data collection of alfalfa yield, meteorological and soil, preparation, statistical analysis, and model construction. The alfalfa yield prediction model used a multiple regression analysis to select the climate variables which are quantitative data and a general linear model considering the selected climate variables and soil physical variables which are qualitative data. As a result, the growth degree days(GDD) and growing days(GD), and the clay content(CC) were selected as the climate and soil physical variables that affect alfalfa DMY, respectively. The contributions of climate and soil factors affecting alfalfa DMY were 32% (GDD, 21%, GD 11%) and 63%, respectively. Therefore, this study indicates that the soil factor more contributes to alfalfa DMY than climate factor. However, for examming the correct contribution, the factors such as other climate and soil factors, and the cultivation technology factors which were not treated in this study should be considered as a factor in the model for future study.

총체벼사일리지 급여가 Holstein 착유우의 산유성적과 수익성에 미치는 영향

김지융,윤병구,김병완,성경일 한국초지조사료학회 2022 한국초지조사료학회지 Vol.42 No.4

This study was conducted to evaluate the effect of feeding the whole crop rice silage (WCRS) which partially replaces the imported grass hay crop on the milking performance of Holstein and profitability. Two experimental diets were used according to the traditional practice of dairy farms. The control diet (C) was composed of 13kg/day of mixed hay, 6.8kg/day concentrate, and orchardgrass/bermudagrass hay (1.8kg/day). The treatment diet (T) was composed of 9.6kg/day of mixed hay, 6.8kg/day of concentrate and 2.2kg/day of WCRS. The CP content of the WCRS (4.6%) was lower than orchardgrass (11.3%) and bermudagrass hay (8.4%) due to the harvest being 30days later than the optimum harvest date of rice. The lower intake was observed in T during the entire experiment period which seems to be related to the higher proportion of fiber in rice (p<0.05). No significant difference was found in milk production between C (26.9kg) and T (26.3kg) during the entire experiment period (p>0.05). Also, no difference in milk fat, milk protein, total solids, and milk composition was observed between the two diets. Higher income per head was resulted in T (21,141won) compared to C (21,915 won). These results indicate that the partial replacement of the grass hay by the WCRS can bring the profit to the dairy farm due to the no difference between the control diet and the treatment diet.

이상기상 시 사일리지용 옥수수의 기계학습을 이용한 피해량 산출

김지융 한국초지조사료학회 2022 한국초지조사료학회지 Vol.42 No.2

This study was conducted to estimate the damage of Whole Crop Maize (WCM) according to abnormal climate using machine learning and present the damage through mapping. The collected WCM data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. Deep Crossing is used for the machine learning model. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The damage was calculated by difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCM data (1978~2017). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization(WMO) standard. The DMYnormal was ranged from 13,845~19,347 kg/ha. The damage of WCM was differed according to region and level of abnormal climate and ranged from -305 to 310, -54 to 89, and -610 to 813 kg/ha bnormal temperature, precipitation, and wind speed, respectively. The maximum damage was 310 kg/ha when the abnormal temperature was +2 level (+1.42 ℃), 89 kg/ha when the abnormal precipitation was -2 level (-0.12 mm) and 813 kg/ha when the abnormal wind speed was -2 level (-1.60 ㎧). The damage calculated through the WMO method was presented as an mapping using QGIS. When calculating the damage of WCM due to abnormal climate, there was some blank area because there was no data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

말에서 국내산 이탈리안 라이그라스 사일리지의 수입산 티모시 건초 대체 효과

김지융,손진,이배훈,김병완,성경일,Kim, Ji Yung,Son, Jin,Lee, Bae Hun,Kim, Byong Wan,Sung, Kyung Il 한국초지조사료학회 2020 한국초지조사료학회지 Vol.40 No.1

본 연구는 수입산 티모시 건초(TH)를 국내산 이탈리안 라이그라스 사일리지(IRGS)로 대체할 목적으로, 말에서 급여사료 중 TH 대신 IRGS의 대체급여 가능성을 사료품질, 영양소소화율 및 사료가격 측면에서 검토하였다. 실험 처리는 공시동물에게 급여 사료 중 TH를 급여한 대조구와 TH대신 IRGS를 대체 급여한 처리구로 하였다. 소화실험은 한국마사회 원당종마목장의 더러브렛 6두(평균체중 475.7±33.3kg)로 대조구와 처리구에 각 3두를 배치하여 전분채취법으로 수행하였다. 사료성분과 상대적사료가치(RFV)는 IRGS가 TH보다 높았으며 IRGS의 발효품질도 양호하여 말의 풀사료로 충분히 이용할 수 있는 것으로 생각된다. 영양소소화율, 가소화에너지총량(TDN) 및 가소화에너지(DE)은 대조구와 처리구 간의 차이가 없어(p>0.05) TH를 IRGS로 대체 가능한 것으로 나타났다. 총급여사료 중 TH와 IRGS의 사료비는 IRGS가 TH 보다 53.7~62.4%로 현저히 절감되는 것으로 나타나 사료비 절감 측면에서도 IRGS가 유리하였다. 이상에서 IRGS는TH와 영양소소화율, TDN함량 및 DE에서 차이가 없고 사료성분, RFV 및 사료비 측면에서 유리하여 수입산 TH를 충분히 대체할 수 있을 것으로 판단된다. This study was conducted to investigate the possibility of replacing imported Timothy hay (TH) with domestic Italian ryegrass silage (IRGS) as a horse feed considering feed quality, nutrient digestibility and feed price. Two experimental diets (TH and IRGS) were fed to six-headed Thoroughbred (body weight, 475.7±33.3kg) of the Korea Racing Authority of Wondang Stud Farm. The 3 head animals were assigned to Control group (TH) and Treatment group (IRGS), respectively. The nutrient digestibility was determined by the total collection method. IRGS is enough for using as a horse feed because its Relative feed value(RFV) was higher than TH and its fermentation quality is suitable for horses. Although no difference was observed in nutrient digestibility, Total digestible nutrients(TDN), and Digestible energy(DE) between Control and Treatment group (p>0.05), the fact that price of IRGS was much lower (53.7~62.4%) than that of TH indicates IRGS has competitive advantage over TH as a horse forage feed. The present study indicates that IRGS can be fully replaced with TH due to its superior economic value even though the similarity of its nutrient digestibility, TDN, and DE to TH.

기계학습모델을 이용한 이상기상에 따른 사일리지용 옥수수 생산량에 미치는 피해 산정

김지융,최재성,조현욱,김문주,김병완,성경일 한국초지조사료학회 2023 한국초지조사료학회지 Vol.43 No.1

This study was conducted to estimate the damage of Whole Crop Corn (WCC; Zea Mays L.) according to abnormal climate using machine learning as the Representative Concentration Pathway (RCP) 4.5 and present the damage through mapping. The collected WCC data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. The machine learning model used DeepCrossing. The damage was calculated using climate data from the automated synoptic observing system (ASOS, 95 sites) by machine learning. The calculation of damage was the difference between the dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCC data (1978-2017). The level of abnormal climate by temperature and precipitation was set as RCP 4.5 standard. The DMYnormal ranged from 13,845-19,347 kg/ha. The damage of WCC which was differed depending on the region and level of abnormal climate where abnormal temperature and precipitation occurred. The damage of abnormal temperature in 2050 and 2100 ranged from -263 to 360 and -1,023 to 92 kg/ha, respectively. The damage of abnormal precipitation in 2050 and 2100 was ranged from -17 to 2 and -12 to 2 kg/ha, respectively. The maximum damage was 360 kg/ha that the abnormal temperature in 2050. As the average monthly temperature increases, the DMY of WCC tends to increase. The damage calculated through the RCP 4.5 standard was presented as a mapping using QGIS. Although this study applied the scenario in which greenhouse gas reduction was carried out, additional research needs to be conducted applying an RCP scenario in which greenhouse gas reduction is not performed.

우리나라에서 Alfalfa 재배기술 향상을 위한 재배연구 Data 분석

김지융 한국초지조사료학회 2023 한국초지조사료학회지 Vol.43 No.2

This study was to investigate the cultivation technique previously conducted cultivation research for the stable production of alfalfa and to present further research. The data used in the study were 270 alfalfa cultivation experimental data from 1983 to 2008, indicating the cultivation region, field type, variety, sowing, cutting frequency, fertilization, and dry matter yield (DMY). The average DMY of alfalfa in the Republic of Korea was 12,536 kg/ha, which differed greatly depending on the cultivated region. Most of the field type was cultivated in upland. In order to increase alfalfa production, it is necessary to use reclaimed and unused land, and research on the soil amendment matter to improve the soil condition is needed. Alfalfa varieties cultivated an amount of 53, but collected data no studies considered fall dormancy, the criteria for selecting alfalfa varieties, so further research is required. The fertilizer did not consider each component at various levels, and research is needed as the demand for fertilizer. In particular, research on potassium is needed considering the increase in alfalfa production. The alfalfa cutting frequency differed in the estimated pasture production period depending on the region, and the DMY tended to increase with increasing cutting frequency. This suggests that the alfalfa DMY can be increased according to the cutting frequency in the Republic of Korea, so research is needed to present the appropriate cutting frequency.