The secondary growth model for Salmonella was developed based on the artificial neural network (ANN) with data collected from ComBase and FoodData Central. In addition to the existing secondary model variables (temperature, pH, Na+, and water contents), more input variables (sugar, carbohydrate, lipid, and protein contents) were considered. The output variables were microbial growth parameters (lag phase duration [l] and maximum growth rate [mmax]). A commercial ANN program (NeuralWorks Predict) was utilized with training at 80%, validation at 10%, and test data at 10%. ANN models were created using all data and cleansed data. Using the cleansed data, the training/testing root mean square error (RMSE) for mmax improved from 0.14/0.16 to 0.11/0.14, whereas the RMSE for l was still not acceptable, from 11.94/33.03 to 7.09/4.18. The l data were divided into two ranges with high and low goodness of fit, whereas the ANN model for each field was built, resulting in an optimally low RMSE.

In order to establish optimal double cropping system for getting the maximum annual productivity, we investigated annual fresh and dry yields of winter forage crops (WFC), Italian ryegrass (IRG) ‘Kowinearly’, triticale ‘Joseong’ and summer forage crop (SFC), ‘Jonong’ and ‘Jowoo’ as whole crop silage rice in the paddy field of Yeongseo of Gangwon Province. The double cropping of each crops was applied with 2 standard cultivation method of WFC and SFC from 2018 to 2020. For the WFC, the average percentage of dry matter (29.6%) of IRG ‘Kowinearly’ was lower than that (35.5%) of triticale ‘Joseong’. The average fresh matter yield of IRG ‘Kowinearly’ was 2,662kg/10a that there was no significant difference from the 2,836kg/10a of triticale ‘Joseong’. The average dry matter yield (996kg/10a) of triticale ‘Joseong’ was more than that (696kg/10a) of IRG ‘Kowinearly’. For the summer forage crops, the average percentage of dry matter of whole crop silage rice, ‘Jonong’ was 34.5% that there was no significant difference from the 35.0% of ‘Jowoo’. The average fresh matter yield (5,367kg/10a) of ‘Jowoo’ was more than that (3,966kg/10a) of ‘Jonong’. And the average dry matter yield (1,936kg/10a) of ‘Jowoo’ was more than that (1,433kg/10a) of ‘Jonong’. The total maximum dry matter yield was 2,982kg/10a with the combination of the WFC triticale, ‘Joseong’ and the SFC whole crop silage rice, ‘Jowoo’. In conclusion, the combination of crops that can obtain the maximum yield of high quality forage for double cropping is sowing the WFC triticale, ‘Joseong’ in mid-October, harvesting ‘Joseong’ around the end of May and then SFC whole crop silage rice, ‘Jowoo’, to be transplanted in early June.

This study was carried out in Suwon-central plain, and Cheorwon, mid-northern plain of Korea to evaluate agricultural characteristics including heading date and yield component for North Korean rice germplasm. The difference between two regions of the heading dates of germplasm was recognized the significance and early matured group growing in Cheorwon tended to flower earlier than that of Suwon while mid-early matured group showed an opposite result. The other agricultural characteristics such as culm length, panicle length, number of panicles per hill, number of grains per panicle, and ripened grain ratio, of the two regions of all traits were highly significant, especially culm length and panicle length in Suwon were longer than those were growing in Cheorwon. Number of panicles per hill and number of grains per panicle in Suwon were more than that were growing in Cheorwon, and ripened grain ratio in Suwon was higher than that of Cheorwon. The another difference between both the regions, of 1000-grain weight was not significant while the effect of interaction between the regions and variety was highly significant. Whereas brown/rough rice ratio and milled rice yield were highly significant; higher in Cheorwon for brown/rough rice ratio and in Suwon of milled rice yield. Additionally, the results concluded that, the North Korean rice germplasm showed susceptible response to bacterial leaf blight(BLB) races such as K2. K3, and K3a but more than mid-range resistant response to rice blast.

Palatability and texture analysis of nine Korean rice cultivars were investigated to select the most appropriate rice variety for the cooked-rice processing. The rice cultivars studied consisted of Samkwang, Seonpum, Wolbaek, Andabyeo, Dasan-1, Ilpum, Haiami, Jungsanggold and Chindle. They revealed the moisture, protein, amylose and starch contents of 10~12, 5~6, 12~19, and approximately 90%, respectively. Among the evaluated rice varieties, WB exhibited the lowest amylose content (12.7%) and Jungsanggold the next (17.2%). In the rapid-visco analyzer test, Jungsanggold, Chindle, Wolbaek and Seonpum revealed a low value of final and setback viscosities than other varieties. Using a toyo meter analyzer, Chindle, Haiami, Samkwang were selected as having high toyo palatability values, while Dasan-1, Wolbaek and Andabyeo revealed low values. Toughness and adhesiveness of all nine cooked rice varieties were highest in Jungsanggold, Chindle and Ilpum. Also, palatability of cooked rice was highest in the following order: Chindle (80.03) > Samkwang (76.21) > Jungsanggold (74.08). The results of this study suggest that Chindle may be effectively used to produce processed cooked rice.

쌀 소비 확대를 위하여 가공용 원료곡으로 사용되는 초다수 품종은 재배연도 및 재배지역 기상의 영향으로 수량 변이가 크게 나타나 안정적인 재료 공급에 어려움을 겪고 있다. 따라서 초다수 품종들에 대한 지역별 수량성 변이에 대한 검토가 필요하여, ‘안다’ 등 5품종을 대상으로 수행한 실험 결과를 요약하면 다음과 같다. 1. 생육관련 형질의 변이는 ‘큰섬’이 가장 작아 지역별로 안정된 생육을 보였고, 다른 품종들은 중간 정도의 안정성을 보였다. 2. 수량관련 형질별 변이의 크기는 이삭당 입수>등숙율>정현비율>현미천립중 순으로 크게 나타났고, 수량과 수량구성요소의 변이를 기준으로는 ‘큰섬’과 ‘한아름2호’가 지역별 안정성이 높은 것으로 나타났다. 3. 공주와 충주에서 공시 품종들의 수량성이 육성 당시보다 낮았으나, 보성에서는 유사한 수량성을 보였고, 특히 ‘큰섬’이 8.40MT/ha 으로 가장 높은 수량성을 보여 다른 지역에서도 검토가 더 필요하였다. 4. 초다수 품종의 수량에는 이삭당 입수가 1차 영향 요인이지만, 등숙율이 높아야 증수가 가능할 것으로 판단되었다.

NGS costs are decreasing rapidly, and beneficial application of the technology to plant genomics seems inevitable. Trying to interpret the agriculturally important traits like yield is actively in progress all across the globe. However, the current stage of bio-informatic technology as applied to the interpretation of agricultural trait appears not yet at a level of maturity to justify widespread plant genome sequencing for user-friendly molecular breeding. It is necessary to construct dense mutation block (DMB) based molecular breeding system for selecting plants with optimal agricultural performance; as well as for identifying useful quantitative trait loci (QTLs). Firstly, we screened and selected DMBs-specific INDEL markers obtained from SNV density profiles using 42 genome sequences of Korean cultivar and public sequences of 24 japonica rice cultivars. Secondly, we analyzed the genetic similarity between 288 Korean cultivars using 113 DMB-specific INDEL markers, which could differentiate on agarose gel by PCR. And we are going to integrate 360 INDEL markers up to 30 per each chromosome. Finally, we selected 40 founder lines considering the importance of the breeding, the purpose of use, and plant ecotype. To construct rice nested association mapping population we crossed each founder lines with the pollen of Hwayoungbyeo which was most commonly used in korean rice breeding program. F2 seed multiplication and generation iteration are ongoing.

중모1001'은 중북부중간지 및 중산간지 고품질 벼를 육성할 목적으로 1994년 하계에 초형이 좋은 SR14694-57-4-2-1-3-2-2 계통을 부본으로 하고 단간이며 쌀알이 깨끗한 철원52호를 모본으로 인공교배하여 2007년 육성된 조생 내도복 고품질 중간모본으로 주요 특성과 수량성을 요약하면 다음과 같다. 1. 보통기 보비재배에서 출수기는 평균 8월 5일로 '오대벼' 보다 4일 늦은 조생종이다. 2. 간장은 73 cm이며, 주당수수는 13개, 수

‘한설’은 1997년 고품질 극조숙 안전 다수성 품종을 육성할 목적으로 양질 극조숙인 ‘진부24호’를 모본으로 초형이 좋고 극조숙 내냉 다수성 계통인 ‘진부25호(운두벼)’를 부본으로 인공교배하여 2009년 육성한 극조숙 고품질 내냉성 벼 품종으로 주요 특성과 수량성을 요약하면 다음과 같다. 1. 출수기는 7월 25일로 ‘진부벼’보다 4일 정도 빠른 극조생종이며, 간장은 65 cm로 ‘진부벼’보다 약간 작고, 주당 이삭수는 12개, 이삭당 벼알수는 99

평원은 농촌진흥청 국립식량과학원에서 북한 지역에 적응성이 높은 다수성 양질 신품종을 육성할 목적으로 1995년 잠재적 수량성이 있는 북한 벼 품종 삼지연4호와 조숙 단간 내도복 특성의 진부19호를 교배하여 2007년 육성한 조생 단간 내도열병 고품질 품종으로 주요 특성과 수량성을 요약하면 다음과 같다. 1. 보통기 보비재배에서 출수기는 8월5일로 오대벼보다 1일 늦은 조생종이다. 2. 간장은 67 cm이며, 주당수수는 13개, 수당립수는 82개이고, 현