• 한국축산식품학회지
• /
• 제43권4호
• /
• pp.674-684
• /
• 2023

Xinjiang province is the main camel feeding area in China with a large square, and camel milk from different areas have different qualities. By now, there are few reports about the quality of camel milk from different areas of Xinjiang province in China. In this study, seven batches of camel milk and one batch of cow milk were collected, and the contents of fat, protein, lactose, total solid, and nonfat milk solid of these milk samples were determined, as well as the contents of lysozyme and vitamin C. All samples were scored and compared by principal component analysis score and comprehensive weighted multi-index score. As the results, camel milk from different areas showed different contents of fat (4.62%-7.02%), protein (3.34%-3.95%), lactose (3.85%-4.79%), total solid (13.59%-17.00%), nonfat milk solid (8.55%-9.73%), vitamin C (12.10-41.25 ㎍/mL), and lysozyme (8.70-22.80 ㎍/mL), as well as different qualities. This variation would help people to know more about quanlity of camel milk in Xinjiang province. Camel milk from Jeminay showed the best quality, and then followed by camel milk from Fukang, Changji, and Fuhai, while cow milk showed the lowest score. Therefore, Jeminay is the most suitable place for grazing camels. Our findings show the different qualities of camel milk in different distribution areas of Xinjiang province, and provide an insight for the evaluation of camel milk. In the present study, only seven components in camel milk were determined, many other factors, such as cfu, mineral, and other vitamins, have not been considered.

• Plant Breeding and Biotechnology
• /
• 제7권3호
• /
• pp.272-286
• /
• 2019

Developing elite hybrid rice varieties is one important objective of rice breeding programs. Several genes related to male sterilities, restores, and pollinators have been identified through map-based gene cloning within natural variations of rice. These identified genes are good targets for introducing genetic traits in molecular breeding. This study was conducted to breed elite hybrid lines with major genes related to hybrid traits and disease/insect resistance in 240 genetic resources and F₁ hybrid combinations of rice. Molecular markers were reset for three major hybrid genes (S5, Rf3, Rf4) and thirteen disease/insect resistant genes (rice bacterial blight resistance genes Xa3, Xa4, xa5, Xa7, xa13, Xa21; blast resistance genes Pita, Pib, Pi5, Pii; brown planthopper resistant genes Bph18(t) and tungro virus resistance gene tsv1). Genotypes were then analyzed using molecular marker-assisted selection (MAS). Biological assay was then performed at the Red River Delta region in Vietnam using eleven F₁ hybrid combinations and two control vatieties. Results showed that nine F₁ hybrid combinations were highly resistant to rice bacterial blight and blast. Finally, eight F₁ hybrid rice varieties with resistance to disease/insect were selected from eleven F₁ hybrid combinations. Their characteristics such as agricultural traits and yields were then investigated. These F₁ hybrid rice varieties developed with major genes related to hybrid traits and disease/insect resistant genes could be useful for hybrid breeding programs to achieve high yield with biotic and abiotic resistance.

• 한국작물학회:학술대회논문집
• /
• 한국작물학회 2022년도 추계학술대회
• /
• pp.272-272
• /
• 2022

Water and phosphorus (P) fertilizer are two of the most critical inputs in rice cultivation. Under climate change scenarios and urbanization, irrigation and fertilizer are becoming limiting factors often leading to significant decrease in yield whenever supplied scarcely. It has been shown that the Pup1 QTL confers tolerance to P starvation and improved early-stage root vigor in indica rice grown in the tropics. However, whether the QTL works in japonica rice genetic background grown in temperate regions remains to be elucidated. Here, we have introgressed the Pup1 QTL into three temperate rice varieties MS11, TR22183, and Dasan using marker-assisted backcrossing and next generation sequencing. The selected lines all harbored the full Pup1 QTL with recurrent parent genome recovery rates ranging from 66.5% to 99.8%. Evaluation of the introgression rice lines grown in South Korea under low inputs of P and water revealed early vegetative growth advantage relative to that of the recurrent parents. Under rainfed condition, Pup1 introgression lines had yield advantage ranging from 7.2 to 19.9% and 24 to 26% in P non-supplied soil and P-supplied soil, respectively compared to that of the recurrent parents suggesting that Pup1 confers enhanced yield under low P and water inputs in temperate rice genetic background grown in temperate climate. In terms of early vegetative growth, temperate Pup1 introgression lines showed a similar trend on the extent to which Pup1 promotes yield advantage in temperate rice in comparison with indica control Pup1 introgression line IR64-Pup1.

• 한국작물학회:학술대회논문집
• /
• 한국작물학회 2022년도 추계학술대회
• /
• pp.79-79
• /
• 2022

Common Buckwheat is a crop with high nutritional value due to its high protein, magnesium, iron, and vitamin content, as well as excellent rutin and quercetin content. This study was conducted to investigate the main agricultural characteristics of common buckwheat genetic sources and use them as basic data for establishing cultivation technology and fostering new varieties. The seeds were planted in the research field of Chungbuk National University on 24th April, 2022 maintained at 15 × 20 cm planting spaces. To evaluate the genetic diversity and morphological traits of buckwheat, different kinds of qualitative and quantitative traits were investigated of the 50 varieties. The germination percentage of common buckwheat showed more than 85% that also showed the uniform germination. During the flowering period, all varieties bloomed within six days from June 18 to 23. The leaves color of common buckwheat were all dark green, and most of the stem colors were mixed with light green, light red, red, and crimson. The leaves of common buckwheat were mainly heart-shaped, and most of the flowers were white. The leaf length was 65.78 to 40.53 mm, and the width was 74.42 mm to 39.74 mm. The stem thickness was between 3.5 and 3.76 mm and the length was between 97.3 cm and 40.24 cm.

• Smart Structures and Systems
• /
• 제33권2호
• /
• pp.119-131
• /
• 2024

Drift angle is a significant index for diagnosing post-event structures. A common way to estimate this drift response is by using modal parameters identified under natural excitations. Although the modal parameters of shear structures cannot be identified accurately in the real environment, the identification error has little impact on the estimation when measurements from several floors are used. However, the estimation accuracy falls dramatically when there is only one accelerometer. This paper describes the susceptibility of single sensor identification to modelling error and simulations that preliminarily verified this characteristic. To make a robust evaluation from measurements of one floor of shear structures based on imprecisely identified parameters, a novel scheme is devised to approximately correct the mode shapes with respect to fictitious frequencies generated with a genetic algorithm; in particular, the scheme uses constrained minimization to take both the mathematical aspect and the realistic aspect of the mode shapes into account. The algorithm was validated by using a full-scale shear building. The differences between single-sensor and multiple-sensor estimations were analyzed. It was found that, as the number of accelerometers decreases, the error rises due to insufficient data and becomes very high when there is only one sensor. Moreover, when measurements for only one floor are available, the proposed method yields more precise and appropriate mode shapes, leading to a better estimation on the drift angle of the lower floors compared with a method designed for multiple sensors. As well, it is shown that the reduction in space complexity is offset by increasing the computation complexity.

• Animal Bioscience
• /
• 제37권5호
• /
• pp.832-838
• /
• 2024

Objective: The use of molecular genetic methods in pig breeding can significantly increase the efficiency of breeding and breeding work. We applied the F_st (fixsacion index) method, the main focus of the work was on the search for common options related to the number of born piglets and the weight of born piglets, since today the urgent task is to prevent a decrease in the weight of piglets at birth while maintaining high fertility of sows. Methods: One approach is to scan the genome, followed by an assessment of Fst and identification of selectively selected regions. We chose Large White sows (n = 237) with the same conditions of keeping and feeding. The data were collected from the sows across three farrowing. For genotyping, we used GeneSeek GGP Porcine HD Genomic Profiler v1, which included 68,516 single nucleotide polymorphisms evenly distributed with an average spacing of 25 kb (Illumina Inc, San Diego, CA, USA). Results: Based on the results of the Fst analysis, 724 variants representing selection signals for the signs BALWT, BALWT1, NBA, and TNB (weight of piglets born alive, average weight of the 1st piglets born alive, total number born alive, total number born). At the same time, 18 common variants have been identified that are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive characteristics in sows. Conclusion: Our work resulted in identification of variants associated with the reproductive characteristics of pigs. Moreover, we identified, variants which are potential markers for both the number of piglets at birth and the weight of piglets at birth, which is extremely important for breeding work to improve reproductive performance in sows.

• Fisheries and Aquatic Sciences
• /
• 제27권2호
• /
• pp.87-99
• /
• 2024

Global climate change, followed by an increase in anthropogenic activities in aquatic ecosystems, and species invasions, has resulted in a decline in aquatic organism biodiversity. The Batanghari River, Sumatra's longest river, is polluted by mercury-containing illegal gold mining waste (PETI), industrial pollution, and domestic waste. Several studies have provided evidence suggesting a decline in fish biodiversity within the Batanghari River. However, a comprehensive evaluation of the present status of biodiversity in this river is currently lacking. The species under investigation were identified through various molecular-based identification methods, as well as morphological identification, which involved the use of neighbor-joining (NJ) trees. All collected specimens were initially identified using morphological techniques and subsequently confirmed with molecular barcoding analysis. Morphological and DNA barcoding identification categorized all specimens (1,692) into 36 species, 30 genera and 16 families, representing five orders. A total of 36 DNA barcodes were generated from 30 genera using a 650-bp-long fragment of the mitochondrial cytochrome oxidase subunit I (COI) gene. Based on the Kimura two-parameter model (K2P), The minimum and maximum genetic divergences based on K2P distance were 0.003 and 0.331, respectively, and the average genetic divergence within genera, families, and orders was 0.05, 0.12, 0.16 respectively. In addition, the average interspecific distance was approximately 2.17 times higher than the mean intraspecific distance. Our results showed that the COI barcode enabled accurate fish species identification in the Batanghari River. Furthermore, the present work will establish a comprehensive DNA barcode library for freshwater fishes along Batanghari River and be significantly useful in future efforts to monitor, conserve, and manage fisheries in Indonesia.

• Journal of Animal Science and Technology
• /
• 제55권1호
• /
• pp.13-18
• /
• 2013

본 연구는 농협 한우개량사업소 후대검정우 552두의 도체중, 배최장근단면적, 등지방두께 및 근내지방도를 측정한 후 고밀도 SNP 패널(777K)을 사용하여 유전체 혈연 행렬(Genetic Relationship Matrix, GRM)을 추정하고 GBLUP (Genomic Best Linear Unbiased Prediction) 방법으로 GEBV (Genomic Estimated Breeding Value)를 구하여 교차 검증(Cross-validation) 방법으로 그 정확도를 추정함으로써 유전체 선발 기법을 한우 유전평가 체계에 적용하기 위한 기초자료로 이용하고자 수행하였다. 교차 검증 방법으로 각 형질별로 추정된 유전체 육종가의 정확도는 0.915~0.957로 상당히 높게 추정되었다. 대립유전자의 빈도로 계산된 유전체 혈연 행렬을 이용하여 GBLUP 방법으로 추정된 육종가 정확도의 최대 차이는 후대검정우 534두에 대하여 도체중, 배최장근단면적, 등지방 두께 및 근내지방도 순으로 각각 9.56%, 5.78%, 5.78% 및 4.18% 정도의 수준으로 상승했고, 혈통 기록상의 모든 개체 3,674두에 대해서는 형질 별로 최대 13.54%, 6.50%, 6.50% 및 4.31% 정도의 수준으로 증가한 결과가 추정되었다. 이는 한우 보증씨수소의 선발 시스템에서 아직 표현형 자료를 생산할 수 없는 당대검정 후보축 대한 집단을 조성할 때 유전체 정보를 이용한 사전 선발을 활용하면 기존의 상대적으로 낮았던 육종가의 정확도의 상승 효과와 세대 간격의 단축으로 인하여 유전적 개량량을 증대시킬 수 있을 것으로 기대된다. 본 연구에서 genomic breeding value 추정을 위하여 조성된 집단의 경우는 후대 검정우 집단으로서 개체들 간의 혈연관계가 높으며, 이미 전통적인 BLUP 방법으로도 상당히 높은 정확도를 가진 집단을 이용하였다. 그러나, 현재 한우 집단에 대한 유전체 자료 구축 시 이용할 수 있는 정확한 자료는 후대검정우 집단 외에는 참조 집단을 조성할 수 있는 대안이 없으므로, 지속적인 유전체 검정을 위해서는 다양한 유전적 조성이 구축된 참조 집단을 구축해야 할 것으로 사료된다. 또한 유전체 검정을 통한 정확도 상승효과를 기대하기 위해서 지속적으로 참조 집단의 크기를 늘릴 필요성이 있다.

• 한국광학회:학술대회논문집
• /
• 한국광학회 2003년도 하계학술발표회
• /
• pp.60-61
• /
• 2003

A new approach to reduce the computation time of genetic algorithm (GA) for making binary phase holograms is described. Synthesized holograms having diffraction efficiency of 75.8% and uniformity of 5.8% are proven in computer simulation and experimentally demonstrated. Recently, computer-generated holograms (CGHs) having high diffraction efficiency and flexibility of design have been widely developed in many applications such as optical information processing, optical computing, optical interconnection, etc. Among proposed optimization methods, GA has become popular due to its capability of reaching nearly global. However, there exits a drawback to consider when we use the genetic algorithm. It is the large amount of computation time to construct desired holograms. One of the major reasons that the GA' s operation may be time intensive results from the expense of computing the cost function that must Fourier transform the parameters encoded on the hologram into the fitness value. In trying to remedy this drawback, Artificial Neural Network (ANN) has been put forward, allowing CGHs to be created easily and quickly (1), but the quality of reconstructed images is not high enough to use in applications of high preciseness. For that, we are in attempt to find a new approach of combiningthe good properties and performance of both the GA and ANN to make CGHs of high diffraction efficiency in a short time. The optimization of CGH using the genetic algorithm is merely a process of iteration, including selection, crossover, and mutation operators [2]. It is worth noting that the evaluation of the cost function with the aim of selecting better holograms plays an important role in the implementation of the GA. However, this evaluation process wastes much time for Fourier transforming the encoded parameters on the hologram into the value to be solved. Depending on the speed of computer, this process can even last up to ten minutes. It will be more effective if instead of merely generating random holograms in the initial process, a set of approximately desired holograms is employed. By doing so, the initial population will contain less trial holograms equivalent to the reduction of the computation time of GA's. Accordingly, a hybrid algorithm that utilizes a trained neural network to initiate the GA's procedure is proposed. Consequently, the initial population contains less random holograms and is compensated by approximately desired holograms. Figure 1 is the flowchart of the hybrid algorithm in comparison with the classical GA. The procedure of synthesizing a hologram on computer is divided into two steps. First the simulation of holograms based on ANN method [1] to acquire approximately desired holograms is carried. With a teaching data set of 9 characters obtained from the classical GA, the number of layer is 3, the number of hidden node is 100, learning rate is 0.3, and momentum is 0.5, the artificial neural network trained enables us to attain the approximately desired holograms, which are fairly good agreement with what we suggested in the theory. The second step, effect of several parameters on the operation of the hybrid algorithm is investigated. In principle, the operation of the hybrid algorithm and GA are the same except the modification of the initial step. Hence, the verified results in Ref [2] of the parameters such as the probability of crossover and mutation, the tournament size, and the crossover block size are remained unchanged, beside of the reduced population size. The reconstructed image of 76.4% diffraction efficiency and 5.4% uniformity is achieved when the population size is 30, the iteration number is 2000, the probability of crossover is 0.75, and the probability of mutation is 0.001. A comparison between the hybrid algorithm and GA in term of diffraction efficiency and computation time is also evaluated as shown in Fig. 2. With a 66.7% reduction in computation time and a 2% increase in diffraction efficiency compared to the GA method, the hybrid algorithm demonstrates its efficient performance. In the optical experiment, the phase holograms were displayed on a programmable phase modulator (model XGA). Figures 3 are pictures of diffracted patterns of the letter "0" from the holograms generated using the hybrid algorithm. Diffraction efficiency of 75.8% and uniformity of 5.8% are measured. We see that the simulation and experiment results are fairly good agreement with each other. In this paper, Genetic Algorithm and Neural Network have been successfully combined in designing CGHs. This method gives a significant reduction in computation time compared to the GA method while still allowing holograms of high diffraction efficiency and uniformity to be achieved. This work was supported by No.mOl-2001-000-00324-0 (2002)) from the Korea Science & Engineering Foundation.

• Environmental Analysis Health and Toxicology
• /
• 제18권2호
• /
• pp.111-120
• /
• 2003

합성화학물질들이 환경중에 유입되어 인체에는 물론 환경생태계에 많은 영향을 미치고 있어 이들의 유해성 검증은 매우 중요한 일이라 할 수 있다. 실제 산업체에서 사용되는 수많은 화학물질들의 유전적 손상 유발유무는 더욱이 중요한 일이라 할 수 있다. 이에 따라 산업체 공정과정에서 널리 사용되는 17종의 화학물질에 대해 Chinese hamster lung(CHL)세포를 이용한 염색체 이상 시험을 수행하여 이들이 염색체상에 구조적 이상을 유발하는지 관찰하였다. 그 결과, 본 연구에서 사용한 17종의 합성화학물질 중 2-nitroaniline(CAS No. 88-74-4)만이 대사활성화계 부재시 86.3 $\mu\textrm{g}$/ml의 농도에서 통계적으로 유의한 염색체 이상 유발능을 보였다. 반면 가장 높은 세포독성을 보인 1-chloroanthraquinone (CAS No. 82-44-0)은 0.8 ∼ 3.0 $\mu\textrm{g}$/ml의 시험농도범위에서 대사활성 존재 유무와 무관하게 염색체 이상을 유발하지 않았으며, 다른 15종의 물질들 역시 본시험 적용 농도 범위에서 염색체 이상 유발능을 관찰할 수 없었다.