This study divided the area capable of producing domestic forage into grazing pasture, hay production area, and silage crop area, calculated the required area according to the forage production volume, and examined whether self-sufficiency in forage leads to cost savings. When the self-sufficiency rate of forage for dairy cows and Hanwoo is 80%, the improvement in profitability per heaf ranges from 3% to 9%, typically around 5%, which is considered a significant benefit for both corporate and individual businesses. The average profit per ranch is expected to increase about KRW 50 million per year, and the country as a whole is expected to reduce forage costs by KRW 0.9 trillion per year. Recently, efforts are being made by the government and local authorities to cultivate summer forage at the rice fields for improving self-sufficiency in forage feed to stabilize rice supply and demand. Furthermore, it is also necessary to conduct research on reducing the cost of concentrated feed and TMR (Total mixed ration).

As a means to activate eco pastoral system in alpine grassland, the government can consider public pastures, which are currently unused, to scale them up into public ranches. Depending on ownership and operation, four management models proposed as follows: 1) Government-Owned and Operated with Balanced Profit and Loss 2) Government-Owned and Operated with Revenue Generation 3) Government-Owned but Privately Operated by Outsourced to Professional Manager 4) Full Privatization (Ownership and Operation by Private Individuals). The study outlined above proposes four management models for the activation of eco pastoral system in alpine grassland. It also suggests methods for the selection and performance evaluation of manager to establish a profitable structure. Additionally, the research provides management methods for the conservation of grazing ecology in pastoral ecosystems. Particularly, the adaptation of tools commonly used in South Korean business sector for the selection and performance evaluation of manager within the system of the proposed management models. This aspect is deemed valuable as it aligns these tools with the specific characteristics of eco pastoral system in alpine grassland, contributing not only to the effective implementation of the models but also to the enhancement of the revenue structure.

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (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 IRG data (1986~2020). 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 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate 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).

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.

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).

Sirtuin proteins are evolutionary conserved Sir2-related NAD+-dependent deacetylases and regulate many of cellular processes such as metabolism, inflammation, transcription, and aging. Sirtuin contains activity of either ADP-ribosyl-transferase or deacetyltranfease and their activity is dependent on the localization in cells. However, the expression pattern of Sirtuins has not been well studied. To examine the expression levels of Sirtuins, RT-PCR was performed using total RNAs from various tissues including liver, small intestine, heart, brain, kidney, lung, spleen, stomach, uterus, ovary, and testis. Sirtuins were highly expressed in most of tissues including the testis. Immunostaining assay showed that Sirt1 and Sirt6 were mainly located in the nucleus of germ cells, spermatocytes, and spermatids in the seminiferous tubules, whereas Sirt2 and Sirt5 were exclusively present in the cytoplasm of germ cells and sperma-tocytes. Our results indicate that Sirtuins may function as regulators of spermatogenesis and their activities might be dependent on their location in the seminiferous tubules.

Background : The purpose of this study was to big strong and root in the disease, many high quality seed of Lithospermum erythrorhizon selection by fostering, expanding the spread on a farm and Hongju subsistence production base and raw materials medicines of sources deployment for process is to contribute to increasing farm income. Methods and Results : Collected variety into the chemical mutation breeding method, Jecheon of Chungbuk, was conducted in 2001. In 2002 and 2003, two～ three individual selection in 2005 as it produces the 24 individual in 2004. From 2006 to 2010, pure line isolation as it cultivated and one foundation group. Promising in 2011, select one system. Replicated yield trial for two years beginning in 2012 a result of the stem length, providing high -quality “No. 1, Jeollanam-do” majority by assigning system name. Naju, Jangheung-gun, local excellence by implementing a local adaptability test recognized in two years. To breed a new variety named as a dwelling “ Daehong” of Lithospermum erythrorhizon the review by fostering december 2014 to be registered. Conclusions : Leaf type is the broad lancet, flowering time is new variety six days than Jecheon native variety fasted. New variety of stem length and stem thickness are check variety (87cm, 8.25mm) of 9cm tall and 0.6mm thick. Seed yields has native variety as much as 81 % compared to the many into 45.6 kg/10a. The shikonin contents of roots was 1.3 times higher compared to check variety (447 ㎍ / g). The dried root yields of the new variety are 221kg/10a a many native variety than 50%.

청보리 신품종 '유호'는 까락이 없어 가축 기호성이 높지만 수확 시 곡실의 탈립이 많아 수량 및 영양적 손실이 큰 기존 삼차망 품종 '유연'의 단점을 개선하기 위하여 1999년에 내탈립 삼차망인 수원339호를 모본으로 하고, 보리호위축병에 강하고 총체적성에 좋은 수원355호를 부본으로 교잡하여 계통육종법에 의하여 제반 특성이 우수한 'SB992047-B-B-B-6-2' 계통을 선발, 생산력검정시험과 지역적응시험을 거쳐 2008년에 육성되었다. 그 특성을

신품종 '영한'은 병해 및 도복, 한해 등 재해에 강해 수량이 많고 품질이 우수한 청보리 품종을 육성하기 위하여 1997년에 조숙, 내도복, 내병, 다수성 계통인 'YB3433-3B-5'와 조사료 품질이 좋고 수량이 많은 'YB3135-3B-2-3' 사이의 F1에 'YB3135-3B-2-3'를 여교잡하고 계통육종법에 의하여 제반특성이 우수한 'SB971305-B-B-B-B-4-4' 계통을 선발, 생산력검정시험과 지역적응시험을 거쳐 2008년에 육성되었다

국립식량과학원에서 조사료용 조숙호밀을 개발하고자 1995 년에 ‘조춘호밀’등 10개 품종을 방임수분으로 혼합교배하여 그중에서 형질이 우수한 계통(SR95POP-S1-119-2-11)을 선발하여 생산력을 검정한 결과 그 특성이 우수하여 ‘호밀30호’로 계통명을 부여하고 5개 지역에서 4개년간 지역적응성을 검정하여 조숙이면서 조사료 수량이 많을 뿐만 아니라 지역간, 연차간 재배안정성이 높은 것으로 나타나 2006년 직무육성신품종 선정위원회에서 ‘다그린’으로

1995년에 내재해 다수성 특성을 지닌 "수원300호"를 모본으로, 조숙 호위축병저항성인 "하가네무기//CI08397/하가네무기"를 부본으로 인공교배하여 수량성이 높고 도복이 강한 우수 겉보리 계통 "익산407호"를 선발하였다. 2005년부터 3개년간 지역적응시험을 실시한 결과 답리작 적응성이 높으며, 광지역성으로서 수량성이 높고, 도복 등 재해에 강한 특성과 효소력가가 높은 계통으로 2007년 국립종자원에 "혜당"으로 출원하였다. 신 육성품종의 특성은

총체사료용 청보리 신품종 "다미"는 가축의 기호성을 개선하고 잎 비율이 높은 다수성 품종을 육성하기 위하여 1996년에 잎귀가 없는 돌연변이체 'BGS60'을 모본으로, 내재해성이고 총체적성이 우수한 '강보리'를 부본으로 여교잡하고 계통육종법에 의하여 제반특성이 우수한 'SB962002-B-B-B-10-1'계통을 선발, 생산력검정시험과 지역적응시험을 거쳐 2007년에 육성되었다. 1. "다미"는 직립 초형으로 파성이 III 정도이고, 잎은 녹색이면서 넓

신품종 "진주찰" 쌀보리는 취반 후 백도가 좋고, 베타글루칸 함량이 높은 소립, 내재해, 양질, 다수성 쌀보리 신품종이다. 1996년에 호남농업연구소에서 도복과 내한성이 강하고 찰성으로 립백도와 정맥율이 높으며 취반특성이 우수한 특성을 지닌 "진미찹쌀보리"와 "수원333호"를 인공교배한 후 계통육종법으로 육성하였다. 2003년부터 2년간 생산력검정시험을 실시한 결과, 수량성이 높고 도복이 강한 우수 계통으로 판명되어 "익산79호"로 계통명을 부여, 20