• 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보

Association of Marker Loci and QTL from Crosses of Inbred Parental Lines


The objectives of this study were to examine problems with using F$_1$ data by simulation, association of marker loci and QTL from crosses of inbred parental lines and to enumerate the preliminary characterization of genetic superiority within inbred parental lines. In this study, the association between markers for QTL used as covariates and estimates of variance components due to effects of lines was investigated through computer simulation. The effects of size of population to develop inbred lines and initial frequencies and magnitudes of effects of QTL were also considered. Results show that estimates of variance components due to line effects are influenced by including marker information as covariates in the model for analysis. Estimates of line variance were increased by adding marker information into the analysis, because negative covariances between effects associated with the markers and the remaining effects associated with other loci existed. However, the fit of the model as indicated by the log likelihood improved by adding more markers as covariates into the analysis. Marker assisted selection will be beneficial when markers explain unexplained genetic difference during selection procedure. Markers can be used to identify QTLs affecting traits, and to select for favorable QTL alleles. To efficiently use genetic markers, location of markers at the genome must be identified. The estimates of variance due to effects of with and without marker information used as covariates in the analysis were investigated. The estimates of line variances were always increased when markers were included as covariates for the model because a negative covariance were existed.

참고문헌 (12)

  1. Beckmann, J. S. and M. Soller. 1983. Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs. Theor. Appl. Genet. 67:35-43. 
  2. Soller, M. and J. S. Beckmann. 1983. Genetic polymorphism in varietal identification and genetic improvement. Theor. Appl. Genet. 67:25-33. 
  3. Weller, J. I., M. Soller and T. Brody. 1988. Linkage analysis of quantitative traits in an interspecific cross of tomato (Lycopersicon esculentum${\times}$Lycopersicon pimpinellifolium) by means of genetic markers. Genetics 118:329-339. 
  4. Zhuchenko, A. A., A. P. Samovol, A. B. Korol and V. K. Andryushchenko. 1979. Linkage between loci of quantitative characters and marker loci. II Influence of three tomoto chromosomes on variability of five quantitative characters in backcross progenies. Genetika 15:672-683. 
  5. Edwards, M. D., C. W. Stuber and J. F. Wendel. 1987. Molecularmarker-facilitated investigations of quantitative trait loci in maize. I. Numbers, genomic distribution and types of gene action. Genetics 116:113-125. 
  6. Spelman, R. and D. Garrick. 1997. Utilisation of marker assisted selection in a commercial dairy cow population. Lives. Prod. Sci. 47:139-147. 
  7. Kashi, Y., F. Iraqi, Y. Tikochisky, B. Ruzitsky, A. Nave, J. S. Beckmann, A. Friedmann, M. Soller and Y. Gruenbaum. 1990. (TG)n uncovers a sex-specific hybridization pattern in cattle. Genomics 7:31-36. 
  8. Stuber, C. W., M. D. Edwards and J. F. Wendel. 1987. Molecular marker-facilitated investigations of quantitative trait loci. II. Factors influencing yield and its component traits. Crop. Sci. 27:639-648. 
  9. Van Zyl, C. M. 1998. Estimation of genetic parameters for production traits of corn and dual purpose sheep. Ph. D. thesis. Department of Animal Science. University of Nebraska-Lincoln, Lincoln, Nebraska. 
  10. Boldman, K. G., L. A. Kriese, L. D. Van Vleck, C. P. Van Tassell and S. D. Kachman. 1995. A manual for use of MTDFREML. A set of programs to obtain estimates of variances and covariances. U.S. Department of Agriculture, Agricultural Research Service. Clay Center, NE. 
  11. Weller, J. I. 1987. Mapping and analysis of quantitative trait loci in Lycopersicon. Heredity 59:413-421. 
  12. Jansen, R. C. 1994. Controlling the type I and type II errors in mapping quantitative trait loci. Genetics 138:871-881. 

이 논문을 인용한 문헌 (0)

  1. 이 논문을 인용한 문헌 없음


원문 PDF 다운로드

  • ScienceON :
  • KCI :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. (원문복사서비스 안내 바로 가기)

상세조회 0건 원문조회 0건

DOI 인용 스타일