• Title/Summary/Keyword: Breeding information

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Multiomics analyses of Jining Grey goat and Boer goat reveal genomic regions associated with fatty acid and amino acid metabolism and muscle development

  • Zhaohua Liu;Xiuwen Tan;Qing Jin;Wangtao Zhan;Gang Liu;Xukui Cui;Jianying Wang;Xianfeng Meng;Rongsheng Zhu;Ke Wang
    • Animal Bioscience
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    • 제37권6호
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    • pp.982-992
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    • 2024
  • Objective: Jining Grey goat is a local Chinese goat breed that is well known for its high fertility and excellent meat quality but shows low meat production performance. Numerous studies have focused on revealing the genetic mechanism of its high fertility, but its highlighting meat quality and muscle growth mechanism still need to be studied. Methods: In this research, an integrative analysis of the genomics and transcriptomics of Jining Grey goats compared with Boer goats was performed to identify candidate genes and pathways related to the mechanisms of meat quality and muscle development. Results: Our results overlap among five genes (ABHD2, FN1, PGM2L1, PRKAG3, RAVER2) and detected a set of candidate genes associated with fatty acid metabolism (PRKAG3, HADHB, FASN, ACADM), amino acid metabolism (KMT2C, PLOD3, NSD2, SETDB1, STT3B, MAN1A2, BCKDHB, NAT8L, P4HA3) and muscle development (MSTN, PPARGC1A, ANKRD2). Several pathways have also been detected, such as the FoxO signaling pathway and Apelin signaling pathway that play roles in lipid metabolism, lysine degradation, N-glycan biosynthesis, valine, leucine and isoleucine degradation that involving with amino acid metabolism. Conclusion: The comparative genomic and transcriptomic analysis of Jining Grey goat and Boer goat revealed the mechanisms underlying the meat quality and meat productive performance of goats. These results provide valuable information for future breeding of goats.

Program Development of Genetic Analysis for Diallel Cross Experiment

  • Kim, Seo Young;Bae, Jong Sung
    • Communications for Statistical Applications and Methods
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    • 제9권3호
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    • pp.675-682
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    • 2002
  • In this study, we develop the statistical analysis program for genetic analysis of diallel crosses data by SAS/MACRO, SAS/IML. Genetic analysis is to estimate of genetics parameters and heredity with reciprocal cross and without reciprocal cross. Statistical analysis program solve the problem of the difficulties on the data analysis in field denetics and breeding Therefore the user whoever want to analysis of data on genetics and breeding easily conduct the work saving time and suffering.

Effects of Duroc Breeding Lines on Carcass Composition and Meat Quality

  • Choi, Jung-Seok;Jin, Sang-Keun;Choi, Yang-Il;Lee, Jae-Joon
    • 한국축산식품학회지
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    • 제35권1호
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    • pp.80-85
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    • 2015
  • This study was performed to investigate the carcass composition and pork quality of Duroc breeding lines in Korea. A total of 200 Duroc pigs were used, and those were originated from four different great-grandparent (GGP) breeding stock farms (L1: N farm, L2: W farm, L3: S farm, L4: R farm). The carcasses of pigs from these farms were collected, and meat quality traits were evaluated. L1 and L2 had smaller carcass weights and thin backfat, whereas L3 and L4 had heavy carcass weights and thick backfat. L3 and L4 had higher contents of fat and protein than L1 and L2. For the meat quality characteristics, L1, L2, and L4 had higher pH values than L3. In addition, L4 had higher water holding capacity than the other lines. L4 had the highest sensory evaluation scores with regard to both juiciness and flavor. Consequently, the study results indicate that pork quality information from domestic Duroc breeding stock lines could be used to effectively improve pork quality in Korea.

Evaluation of Genetic Relationship and Fingerprinting of Rice Varieties using Microsatellite and RAPD Markers

  • Soo- Jin, Kwon;Sang-Nag, Ahn;Hae-Chune, Choi;Huhn-Pal, Moon
    • 한국작물학회지
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    • 제44권2호
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    • pp.112-116
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    • 1999
  • Genetic diversity of 31 rice varieties including 25 japonica and 6 indica varieties was evaluated using a combination of 19 microsatellite or simple sequence repeats (SSRs) and 28 random decamer oligonucle-otide primers. All 19 microsatellite primer sets representing 19 loci in the rice genome showed polymorphisms among the 31 varieties and revealed 91 alleles with an average of 4.80 bands per primer. Also all 28 random decamer primers used were informative and generated 114 non-redundant bands with a mean of 4.07 bands. Microsatellite markers detected higher number of alleles than random primers .although the mean difference was not statistically significant. A cluster analysis based on Nei's genetic distances calculated from the 205 bands resolved the 31 varieties into two major groups that correspond to indica and japonica subspecies, which is consistent with the genealogical information. As few as six random decamer primers or a combination of one microsatellite and four random decamer primers were sufficient to uniquely differentiate all 31 varieties. These combinations would be potentially useful in rice variety protection and identification considering that 25 out of 31 varieties used in this study are japonica rices with high grain quality and have close make up.

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흰점박이꽃무지(Protaetia brevitarsis)의 유충사육 시 적정밀도 규명 (Investigation of the Proper Density for Rearing Protaetia brevitarsis Larvae)

  • 최성업;최인학;손진성;정태호
    • 한국환경과학회지
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    • 제30권2호
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    • pp.191-194
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    • 2021
  • This study aimed to provide information and data for the management of insect breeding farms by identifying the appropriate density when rearing Protaetia brevitarsis larvae. The breeding box of the insects was filled with 2 L of fermented sawdust on a 50 × 35 × 15 cm sheet of plastic, and the density of the treatments was 200, 300 and 400 P. brevitarsis in the first, second, and third larval stages. Each treatment was repeated five times, and the sawdust medium was replaced three times (10 intervals). The experiments were conducted for a total of 30 days from March 1, 2020. Overall, 200 P.brevitarsis in the first, second, and third larval stages reared in the breeding box had a higher average survival rate and lower average mortality rate, thereby contributing to efficient production. In conclusion, this result suggests a way to increase production efficiency through the environmental management of insect breeding farms.

Molecular Markers and Their Application in Mulberry Breeding

  • Vijayan, Kunjupillai
    • International Journal of Industrial Entomology and Biomaterials
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    • 제15권2호
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    • pp.145-155
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    • 2007
  • Mulberry (Morus spp.) is an economically important tree crop being cultivated in India, China and other sericulturally important countries for its foliage to feed the silk producing insect Bombyx mori L. Genetic improvements of mulberry lag behind to the same in many other economically less important crops due to the complexity of its genetics, the breeding behavior, and the lack of basic information on factors governing important agronomic traits. In this review, the general usage and advantages of different molecular markers including isoenzymes, RFLPs, RAPDs, ISSRs, SSRs, AFLPs and SNPs are described to enlighten their applicability in mulberry genetic improvement programs. Application of DNA markers in germplasm characterization, construction of genetic linkage maps, QTL identification and in marker-assisted selection was also described along with its present status and future prospects.

Application of Disease Resistance Markers for Developing Elite Tomato Varieties and Lines

  • Kim, Hyoun-Joung;Lee, Heung-Ryul;Hyun, Ji-Young;Won, Dong-Chan;Hong, Dong-Oh;Cho, Hwa-Jin;Lee, Kyung-Ah;Her, Nam-Han;Lee, Jang-Ha;Harn, Chee-Hark
    • 원예과학기술지
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    • 제29권4호
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    • pp.336-344
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    • 2011
  • Using the abundant available information about the tomato genome, we developed DNA markers that are linked to disease resistant loci and performed marker-assisted selection (MAS) to construct multi-disease resistant lines and varieties. Resistance markers of Ty-1, T2, and I2, which are linked to disease resistance to Tomato yellow leaf curl virus (TYLCV), Tomato mosaic virus (ToMV), and Fusarium wilt, respectively, were developed in a co-dominant fashion. DNA sequences near the resistance loci of TYLCV, ToMV, and Fusarium wilt were used for primer design. Reported candidate markers for powdery mildew-resistance were screened and the 32.5Cla marker was selected. All four markers (Ty-1, T2, I2, and 32.5Cla) were converted to cleavage amplification polymorphisms (CAPS) markers. Then, the CAPS markers were applied to 96 tomato lines to determine the phenetic relationships among the lines. This information yielded clusters of breeding lines illustrating the distribution of resistant and susceptible characters among lines. These data were utilized further in a MAS program for several generations, and a total of ten varieties and ten inbred lines were constructed. Among four traits, three were introduced to develop varieties and breeding lines through the MAS program; several cultivars possessed up to seven disease resistant traits. These resistant trait-related markers that were developed for the tomato MAS program could be used to select early stage seedlings, saving time and cost, and to construct multi-disease resistant lines and varieties.

Identification of Glycine max Genes Expressed in Response to Soybean mosaic virus Infection

  • Jeong, Rae-Dong;Lim, Won-Seok;Kwon, Sang-Wook;Kim, Kook-Hyung
    • The Plant Pathology Journal
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    • 제21권1호
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    • pp.47-54
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    • 2005
  • Identification of host genes involved in disease progresses and/or defense responses is one of the most critical steps leading to the elucidation of disease resistance mechanisms in plants. Soybean mosaic virus (SMV) is one of the most prevalent pathogen of soybean (Glycine max). Although the soybeans are placed one of many important crops, relatively little is known about defense mechanism. In order to obtain host genes involved in SMV disease progress and host defense especially for virus resistance, two different cloning strategies (DD RT-PCR and Subtractive hybridization) were employed to identify pathogenesis- and defenserelated genes (PRs and DRs) from susceptible (Geumjeong 1) and resistant (Geumjeong 2) cultivars against SMV strain G7H. Using these approaches, we obtained 570 genes that expressed differentially during SMV infection processes. Based upon sequence analyses, differentially expressed host genes were classified into five groups, i.e. metabolism, genetic information processing, environmental information processing, cellular processes and unclassified group. A total of 11 differentially expressed genes including protein kinase, transcription factor, other potential signaling components and resistant-like gene involved in host defense response were selected to further characterize and determine expression profiles of each selected gene. Functional characterization of these genes will likely facilitate the elucidation of defense signal transduction and biological function in SMV-infected soybean plants.

Genetic evaluation and accuracy analysis of commercial Hanwoo population using genomic data

  • Gwang Hyeon Lee;Yeon Hwa Lee;Hong Sik Kong
    • 한국동물생명공학회지
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    • 제38권1호
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    • pp.32-37
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    • 2023
  • This study has evaluated the genomic estimated breeding value (GEBV) of the commercial Hanwoo population using the genomic best linear unbiased prediction (GBLUP) method and genomic information. Furthermore, it analyzed the accuracy and realized accuracy of the GEBV. 1,740 heads of the Hanwoo population which were analyzed using a single nucleotide polymorphism (SNP) Chip has selected as the test population. For carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS), the mean GEBVs estimated using the GBLUP method were 3.819, 0.740, -0.248, and 0.041, respectively and the accuracy of each trait was 0.743, 0.728, 0.737, and 0.765, respectively. The accuracy of the breeding value was affected by heritability. The accuracy was estimated to be low in EMA with low heritability and high in MS with high heritability. Realized accuracy values of 0.522, 0.404, 0.444, and 0.539 for CWT, EMA, BFT, and MS, respectively, showing the same pattern as the accuracy value. The results of this study suggest that the breeding value of each individual can be estimated with higher accuracy by estimating the GEBV using the genomic information of 18,499 reference populations. If this method is used and applied to individual selection in a commercial Hanwoo population, more precise and economical individual selection is possible. In addition, continuous verification of the GBLUP model and establishment of a reference population suitable for commercial Hanwoo populations in Korea will enable a more accurate evaluation of individuals.

인삼 품종과 육성계통의 작물학적 특성 변이 (Variations of Agronomic Characteristics of Cultivars and Breeding Lines in Korean Ginseng (Panax ginseng C. A. Mey.))

  • 방경환;서아연;김영창;조익현;김장욱;김동휘;차선우;조용구;김홍식
    • 한국약용작물학회지
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    • 제20권4호
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    • pp.231-237
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    • 2012
  • These studies were conducted to provide basic information on Korean ginseng cultivars and breeding lines (Panax ginseng C. A. Mey.) and to identify the variations that can be utilized in ginseng breeding programs. The agronomic characteristics was used to clarify the genetic relationships among Korean ginseng cultivars and breeding lines and to classify them into distinct genetic groups. Angle of petiole and number of fibrous root showed a wide variation from $15.0{\sim}67.8^{\circ}$ and 0~5, respectively. The average plant length was 54.2cm with a range of 37.9~64.8cm and the average stem diameter was 5.6mm with a range of 4.0~7.5mm. The average stem length was 31.9cm with a range of 21.8~37.9cm and the average root weight was 38.1 g with a range of 23.0~52.0 g. The 24 Korean ginseng cultivars and breeding lines were classified into 4 groups based on agronomic characteristics using the complete linkage cluster analysis. The I, II, III and IV groups included the 60.8%, 7.4%, 13.1% and 8.7% of the cultivars and breeding lines, respectively. The breeding lines in group I could be characterized as the group with the highest growth characters and yield components, such as plant length, stem diameter and root weight. The root weight, the yield component, had highly significant positive correlations with stem diameter, plant length and stem length.