• Title/Summary/Keyword: Phenotypic trait

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Phenotypic and Marker Assisted Evaluation of Korean Wheat Cultivars

  • Jung, Yeonju;Park, Chul Soo;Jeung, Ji-Ung;Kang, Chon-Sik;Lee, Gi-An;Choi, Yu-Mi;Lee, Jung-Ro;Lee, Myung-Chul;Kim, Chung-Kon;Seo, Yong Weon
    • Korean Journal of Breeding Science
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    • v.43 no.4
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    • pp.273-281
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    • 2011
  • Fusarium head blight (FHB), also known as scab, caused mainly by Fusarium graminearum is a devastating disease of wheat in regions that are warm and humid during flowering. In addition to significant yield and quality losses, the mycotoxin deoxynivalenol produced by the pathogen in infected wheat kernels is a serious problem for food and feed safety. Twenty- three Korean cultivars and "Sumai 3", which is a FHB-resistant Chinese cultivar were tested for Type I, Type II resistances of FHB. Three cultivars were identified as resistant in Type I assessment, and two cultivars were resistant in Type II assessment. Genetic variation and relationship among the cultivars were evaluated on the basis of 11 Simple Sequence Repeat (SSR) and 29 Sequence Tagged Site (STS) markers that were linked to FHB resistance Quantitative Trait Loci (QTL) on chromosome 3BS. One SSR and 7 STS markers detected polymorphisms. Especially, using a STS marker (XSTS3B-57), 32.4% of the variation for Type II FHB resistance could be explained. Genetic relationship among Korean wheat cultivars was generally consistent with their released year. These markers on chromosome 3BS have the potential for accelerating the development of Korean wheat cultivars with improved Fusarium head blight resistance through the use of marker-assisted selection.

Mapping of Quantitative Trait Loci for Yield and Grade Related Traits in Peanut (Arachis hypogaea L.) Using High-Resolution SNP Markers

  • Liang, Yuya;Baring, Michael R.;Septiningsih, Endang M.
    • Plant Breeding and Biotechnology
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    • v.6 no.4
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    • pp.454-462
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    • 2018
  • Yield and grade are the key factors that affect production value of peanut. The objective of this study was to identify QTLs for pod yield, hundred-seed weight, and total sound mature kernel (TSMK). A total of 90 recombinant inbred lines, derived from Tamrun OL07 and a breeding line Tx964117, were used as a mapping population and planted in Brownfield and Stephenville, Texas. A genetic map was developed using 1,211 SNP markers based on double digest restriction-site associated DNA sequencing (ddRAD-seq). A total of 10 QTLs were identified above the permutation threshold, three for yield, three for hundred-seed weight and four for TSMK, with LOD score values of 3.7 - 6.9 and phenotypic variance explained of 12.2% - 35.9%. Among those, there were several QTLs that were detected in more than one field experiment. The commonly detected QTLs in this study may be used as potential targets for future breeding program to incorporate yield and grade related traits through molecular breeding.

National genomic evaluation of Korean thoroughbreds through indirect racing phenotype

  • Lee, Jinwoo;Shin, Donghyun;Kim, Heebal
    • Animal Bioscience
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    • v.35 no.5
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    • pp.659-669
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    • 2022
  • Objective: Thoroughbred horses have been bred exclusively for racing in England for a long time. Additionally, because horse racing is a global sport, a healthy leisure activity for ordinary citizens, and a high-value business, systematic racehorse breeding at the population level is a requirement for continuous industrial development. Therefore, we established genomic evaluation system (using prize money as horse racing traits) to produce spirited, agile, and strong racing horse population Methods: We used phenotypic data from 25,061 Thoroughbred horses (all registered individuals in Korea) that competed in races between 1994 and 2019 at the Korea Racing Authority and constructed pedigree structures. We quantified the improvement in racehorse breeding output by year in Korea, and this aided in the establishment of a high-level horse-fill industry. Results: We found that pedigree-based best linear unbiased prediction method improved the racing performance of the Thoroughbred population with high accuracy, making it possible to construct an excellent Thoroughbred racehorse population in Korea. Conclusion: This study could be used to develop an efficient breeding program at the population level for Korean Thoroughbred racehorse populations as well as others.

A Whole Genome Association Study on Meat Quality Traits Using High Density SNP Chips in a Cross between Korean Native Pig and Landrace

  • Lee, K.T.;Lee, Y.M.;Alam, M.;Choi, B.H.;Park, M.R.;Kim, K.S.;Kim, T.H.;Kim, Jong-Joo
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.11
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    • pp.1529-1539
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    • 2012
  • A whole genome association (WGA) study was performed to detect significant polymorphisms for meat quality traits in an $F_2$ cross population (N = 478) that were generated with Korean native pig sires and Landrace dams in National Livestock Research Institute, Songwhan, Korea. The animals were genotyped using Illumina porcine 60k SNP beadchips, in which a set of 46,865 SNPs were available for the WGA analyses on ten carcass quality traits; live weight, crude protein, crude lipids, crude ash, water holding capacity, drip loss, shear force, CIE L, CIE a and CIE b. Phenotypes were regressed on additive and dominance effects for each SNP using a simple linear regression model, after adjusting for sex, sire and slaughter stage as fixed effects. With the significant SNPs for each trait (p<0.001), a stepwise regression procedure was applied to determine the best set of SNPs with the additive and/or dominance effects. A total of 106 SNPs, or quantitative trait loci (QTL) were detected, and about 32 to 66% of the total phenotypic variation was explained by the significant SNPs for each trait. The QTL were identified in most porcine chromosomes (SSCs), in which majority of the QTL were detected in SSCs 1, 2, 12, 13, 14 and 16. Several QTL clusters were identified on SSCs 12, 16 and 17, and a cluster of QTL influencing crude protein, crude lipid, drip loss, shear force, CIE a and CIE b were located between 20 and 29 Mb of SSC12. A pleiotropic QTL for drip loss, CIE L and CIE b was also detected on SSC16. These QTL need to be validated in commercial pig populations for genetic improvement in meat quality via marker-assisted selection.

qVDT11, a major QTL related to stable tiller formation of rice under drought stress conditions

  • Kim, Tae-Heon;Cho, Soo-Min;Han, Sang-Ik;Cho, Jun-Hyun;Kim, Kyung-Min;Lee, Jong-Hee;Song, You-Chun;Park, Dong-Soo;Oh, Myung-Gyu;Shin, Dongjin
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.91-91
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    • 2017
  • Drought is the most serious abiotic stress limiting rice production. However, little progress has been made in the genetic analysis of drought tolerance, because it is a complex trait controlled by a number of genes and affected by various environmental factors. In here, we screened 218 rice genetic resources for drought tolerance at vegetative stage and selected 32 highly drought tolerant varieties in greenhouse. Under rain-fed conditions, Grain yield of Nagdong was decreased by 53.3% from 517 kg/10a to 241 kg/10a when compare to irrigation condition. By comparison, grain yield of Samgang was decreased by 23.6% from 550 kg/10a to 420 kg/10a. The variety Samgang exhibited strong drought tolerance and stable yield in rain-fed conditions and was selected for further study. To identify QTLs for drought tolerance, we examined visual drought tolerance (VDT) and relative water content (RWC) using a doubled haploid (DH) population consisted of 101 lines derived from a cross between Samgang (a drought tolerance variety) and Nagdong (a drought sensitive variety). Three QTLs for VDT were located on chromosomes 2, 6, and 11, respectively, and explained 41.8% of the total phenotypic variance. qVDT2, flanked by markers RM324 and S2016, explained 8.8% of the phenotypic variance with LOD score of 3.3 and an additive effect of -0.6. qVDT6 was flanked by S6022 and S6023 and explained 12.7% of the phenotypic variance with LOD score of 5.0 and an additive effect of -0.7. qVDT11, flanked by markers RM26765 and RM287, explained 19.9% of the phenotypic variance with LOD score of 7.1 and an additive effect of -1.0. qRWC11 was the only QTL for RWC to be identified; it was in the same locus as qVDT11. qRWC11 explained 19.6% of the phenotypic variance, with a LOD score of 4.0 and an additive effect of 9.7. To determine QTL effects on drought tolerance in rain-fed paddy conditions, seven DH lines were selected according to the number of QTLs they contained. Of the drought tolerance associated QTLs, qVDT2 and qVDT6 did not affect tiller formation, but qVDT11increased tiller number. Tiller formation was most stable when qVDT2 and qVDT11 were combined. DH lines with both of these drought tolerance associated QTLs exhibited the most stable tiller formation. These results suggest that qVDT11 is important for drought tolerance and stable tiller formation under drought stress condition in field.

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Identification of Quantitative Trait Loci Associated with Anthracnose Resistance in Chili Pepper (Capsicum spp.) (고추 탄저병 저항성 관련 양적형질 유전자좌 분석)

  • Kim, Su;Kim, Ki-Taek;Kim, Dong-Hwi;Yang, Eun-Young;Cho, Myeong-Cheoul;Jamal, Arshad;Chae, Young;Pae, Do-Ham;Oh, Dae-Geun;Hwang, Ju-Kwang
    • Horticultural Science & Technology
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    • v.28 no.6
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    • pp.1014-1024
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    • 2010
  • Pepper ($Capsicum$ spp.) anthracnose caused by $Colletotrichum$ $acutatum$ is a destructive disease susceptible to areas where chili peppers are grown. $Capsicum$ $baccatum$ var. $pendulum$ (Cbp) is resistant to anthracnose and has actively been used for interspecific hybridization for the introgression of resistance gene(s) into cultivated chili peppers. The goals of this study were to determine the inheritance of resistance to anthracnose within $Capsicum$ $baccatum$ and to map quantitative trait loci (QTLs) for the anthracnose resistance. A genetic mapping population consisting of 126 $F_2$ plants derived from a cross between $Capsicum$ $baccatum$ var. $pendulum$ (resistant) and $Capsicum$ $baccatum$ 'Golden-aji' (susceptible) was used for linkage mapping. The linkage map was constructed with 52 SSRs, 175 AFLPs, and 100 SRAPs covering 1,896cM, with an average interval marker distance of 4.0cM. Based on this map, the number, location, and effect of QTLs for anthracnose resistance were studied using plants inoculated in the laboratory and field. A total of 19 quantitative trait loci (2 major QTLs and 16 minor QTLs) were detected. Two QTLs ($An8.1$, $An9.1$) showed 16.4% phenotypic variations for anthracnose resistance after wounding inoculation. In addition, five minor QTL loci ($An7.3$, $An7.4$, $An4.1$, $An3.1$, $An3.2$) showed a total of 60.73% phenotypic variations of anthracnose resistance in the field test. Several significant QTLs were also detected and their reproducibility was confirmed under different inoculation conditions. These QTLs are now being confirmed with different breeding populations. Markers tightly linked to the QTLs that are reliable under different environmental conditions will help to determine the success of marker-assisted selection for anthracnose -resistant breeding programs in chili pepper.

Potential Allelic Association of Microsatellite Markers on Chromosome 1 with Economic Traits in Korean Native Chicken (한국재래닭 1번 염색체내 초위성체 유전표지를 이용한 경제형질 연관 지역 탐색)

  • Kim, H.K.;Oh, J.D.;Kang, B.S.;Park, M.N.;Chae, E.J.;Jung, H.M.;Seo, O.S.;Choe, H.S.;Jeon, G.J.;Lee, H.K.;Kong, H.S.
    • Korean Journal of Poultry Science
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    • v.35 no.2
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    • pp.163-169
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    • 2008
  • A total of 17 polymorphic microsatellite markers on chromosome 1 were used for allelic association tests with phenotypic traits in Korean native chicken. Chi-square tests were performed to compare the frequencies of individual alleles between the high and the low trait groups. The frequency of allele 123 of MCW0160 showed a significant difference between the high and the low groups in the trait of egg weight (EW). Three markers, namely ADL0234, UMA1.125 and ADL0101, were found to show significant differences in allelic distribution for the trait of the first lay day (FLD). UMA1.117, ADL0020, UMA 1.019, LMA1 and ADL0238 were found to show significant differences in allelic distribution for the trait of body weight (BW). ADL0101 and ADL0238 were found to show significant differences in allelic distribution for the trait of number of egg production(EP). In this study, we identified the QTL for economic traits at around 94 (MCW0160), 151 (ADL0234), 170 (UMA1.125), 225 (UMA1.117), 285 (ADL0020), 387 (UMA1.019), 418 (LMA1), 500 (ADL0101) and 520 (ADL0238) cM on chromosome 1 in Korean native chicken. The results provided a useful guideline for identification of positional candidate gene and marker-assisted selection for economic traits in Korean native chicken.

Estimation of Genetic Parameters for Economic Traits in Swine (종돈의 경제 형질의 유전모수 추정에 관한 연구)

  • Choi, C.S.;Lee, I.J.;Cho, K.H.;Seo, K.S.;Lee, J.G.
    • Journal of Animal Science and Technology
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    • v.46 no.2
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    • pp.145-154
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    • 2004
  • This study was conducted to estimate genetic parameter of Duroc, Landrace and Yorkshire breeds based on the on-farm performance tested records of 57,316 pigs under the supervision of Korean Animal Improvement Association from 1992 to 1999. Genetic parameters were estimated with a multiple trait animal model by using DF - REML. The result obtained in this study was summarized as follow ; The estimated heritabilities of Duroc, Landrace and Yorkshire were 0.46${\sim}$0.65 for the average backfat thickness, 0.28${\sim}$0.31 for loin depth, 0.50~0.60 for percent lean, 0.45${\sim}$0.55 for the average daily gain, 0.38${\sim}$0.50 for age at 90kg, respectively. Phenotypic correlation of average backfat thickness with loin depth, percent lean, average daily gain and age at 90㎏ for the three breeds were -0.12${\sim}$-0.01, -0.81${\sim}$-0.76, 0.34${\sim}$0.46, and -0.41${\sim}$-0.33, respectively. Phenotypic correlation of loin depth with percent lean, average daily gain and age at 90kg were 0.12${\sim}$0.23, 0.03${\sim}$0.21, and -0.17${\sim}$-0.03, respectively. Phenotypic correlation of percent lean with average daily gain and age at 90kg were -0.37${\sim}$-0.26 and 0.26~0.35, respectively. Phenotypic correlation of average daily gain with age at 90kg was -0.97${\sim}$-0.95. The estimated genetic correlation coefficients of average backfat thickness with loin depth, percent lean, average daily gain and age at 90kg estimated for the three breeds were -0.17${\sim}$0.03, -0.79${\sim}$-0.69, 0.24${\sim}$0.45 and -0.41${\sim}$-0.19, respectively. The estimated genetic correlation coefficients of loin depth with percent lean, average daily gain and age at 90kg were 0.11~0.19, 0.23 and -0.30~-0.20, respectively. The estimated correlation coefficients of percent lean with average daily gain and age at 90kg were -0.36${\sim}$-0.13 and 0.10~0.34, respectively. The estimated genetic correlation coefficients of average daily gain with age at 90㎏ was -0.96${\sim}$-0.95.

QTL Mapping of Resistance to Gray Leaf Spot in Ryegrass: Consistency of QTL between Two Mapping Populations

  • Curley, J.;Chakraborty, N.;Chang, S.;Jung, G.
    • Asian Journal of Turfgrass Science
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    • v.22 no.1
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    • pp.85-100
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    • 2008
  • Gray leaf spot (GLS) is a serious fungal disease caused by Pyricularia oryzae Cavara, recently reported on the important turf and forage species, perennial ryegrass (Lolium perenneL.). This fungus also causes rice blast, which is usually controlled by host resistance, but durability of resistance is a problem. Few instances of GLS resistance have been reported in perennial ryegrass. However, two major QTL for GLS resistance have been detected on linkage groups 3 and 6 in an Italian x perennial ryegrass mapping population. To confirm that those QTL are still detectable in the next generation and can function in a different genetic background, a resistant segregant from this population has been crossed with an unrelated susceptible perennial clone, to form a new mapping population segregating for GLS resistance. QTL analysis has been performed in the new population, using two different ryegrass field isolates and RAPD, RFLP, and SSR marker-based linkage maps for each parent. Results indicate the previously identified QTL on linkage group 3 is still significant in the new population, with LOD and percent of phenotypic variance explained ranging from 2.0 to 3.5 and 5% to 10%, respectively. Also two QTL were detected in the susceptible parent, with similar LOD and phenotypic variance explained. Although the linkage group 6 QTL was not detected, the major QTL on linkage group 3 appears to beconfirmed. These results will add to our understanding of the genetic architecture of GLS resistance in ryegrass, which will facilitate its use in perennial ryegrass breeding programs.

Evaluations on agronomic traits of rice transgenic lines (벼 형질전환계통의 주요 작물학적 특성에 대한 고찰)

  • Jeong, Jong-Min;Jeung, Ji-Ung;Kang, Kyung-Ho;Lee, Sang-Bok;Park, Hyang-Mi;Kim, Chung-Kon;Kim, Kyung-Min;Sohn, Jae-Keun
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.58 no.2
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    • pp.196-202
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    • 2013
  • This study was conducted to evaluate the performances of rice transgenic lines along with their wild types in terms of agronomic traits. A total of 32 rice transgenic lines, through previously conducted collaborative researches between molecular biologists and conventional rice breeders, were selected as promising lines. As the introduced functional genes, 17 genes, which were putatively related with high yield, disease and herbicide resistance, abiotic stress tolerance, and diversifying endosperm starch components, were transformed into three Japonica cultivars, Nipponbare, Nagdongbyeo, and Dongjinbyeo. The transgenic lines exhibited significantly deviated performances from their wild types on agronomic traits such as days to heading, culm length and yield potential. Multivariate analyses on transgenic lines to the evaluated agronomic traits also indicated random manner of phenotypic deviations from their wild type in terms of deviation directions and degrees. Our results suggested that, therefore, breeding strategies to control unexpected deleterious phenotypic performances among transgenic lines would be critical as much as the functions and proper expressions of the transformed genes.