Marker assisted estimation of breeding values when marker information is missing on many animals

被引:12
作者
Meuwissen, THE
Goddard, ME
机构
[1] Res Inst Anim Sci & Hlth, NL-8200 AB Lelystad, Netherlands
[2] Univ Melbourne, Inst Land & Food Resources, Parkville, Vic 3052, Australia
关键词
marker assisted selection; breeding value estimation; quantitative trait loci; DNA markers;
D O I
10.1051/gse:19990405
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Two methods are presented that use information from a large population of commercial animals, which have not been genotyped for genetic markers, to calculate marker assisted estimates of breeding value (MA-EBV) for nucleus animals, where the commercial animals are descendants of the marker genotyped nucleus animals. The first method reduced the number of mixed model equations per commercial animal to one, instead of one plus twice the number of marked quantitative trait loci in conventional MA-EBV equations. Without this reduction, the time taken to solve the mixed model equations including markers could be very large especially if the number of commercial animals and the number of markers is large. The solutions of the reduced set of equations were exact and did not require more iterations than the conventional set of equations. A second method was developed for the situation where the records of the commercial animals were not directly available to the nucleus breeding programme but conventional non-MA-EBVs and their accuracies were available for nucleus animals from a large scale (e.g. national) breeding value evaluation, which uses nucleus and commercial information. Using these non-MA-EBV, the MA-EBV of the nucleus animals were approximated. In an example, the approximated MA-EBV were very close to the exact MA-EBV. (C) Inra/Elsevier, Paris.
引用
收藏
页码:375 / 394
页数:20
相关论文
共 15 条
[1]   Bayesian estimation of dispersion parameters with a reduced animal model including polygenic and QTL effects [J].
Bink, MCAM ;
Quaas, RL ;
Van Arendonk, JAM .
GENETICS SELECTION EVOLUTION, 1998, 30 (02) :103-125
[2]   REDUCED ANIMAL-MODEL FOR MARKER ASSISTED SELECTION USING BEST LINEAR UNBIASED PREDICTION [J].
CANTET, RJC ;
SMITH, C .
GENETICS SELECTION EVOLUTION, 1991, 23 (03) :221-233
[3]   MARKER ASSISTED SELECTION USING BEST LINEAR UNBIASED PREDICTION [J].
FERNANDO, RL ;
GROSSMAN, M .
GENETICS SELECTION EVOLUTION, 1989, 21 (04) :467-477
[4]   A MIXED MODEL FOR ANALYSES OF DATA ON MULTIPLE GENETIC-MARKERS [J].
GODDARD, ME .
THEORETICAL AND APPLIED GENETICS, 1992, 83 (6-7) :878-886
[5]   USE OF ALL RELATIVES IN INTRAHERD PREDICTION OF BREEDING VALUES AND PRODUCING ABILITIES [J].
HENDERSON, CR .
JOURNAL OF DAIRY SCIENCE, 1975, 58 (12) :1910-1916
[6]  
HENDERSON CR, 1984, CAN CATAL PUBL DATA
[7]   ELIMINATION OF QUANTITATIVE TRAIT LOCI EQUATIONS IN AN ANIMAL-MODEL INCORPORATING GENETIC-MARKER DATA [J].
HOESCHELE, I .
JOURNAL OF DAIRY SCIENCE, 1993, 76 (06) :1693-1713
[8]   The use of marker haplotypes in animal breeding schemes [J].
Meuwissen, THE ;
Goddard, ME .
GENETICS SELECTION EVOLUTION, 1996, 28 (02) :161-176
[9]  
Misztal I, 1988, J DAIRY SCI S2, V71, P27, DOI [DOI 10.1016/S0022-0302(88)79976-2, 10.1016/S0022-0302(88)79976-2]
[10]   COMPUTING DIAGONAL ELEMENTS AND INVERSE OF A LARGE NUMERATOR RELATIONSHIP MATRIX [J].
QUAAS, RL .
BIOMETRICS, 1976, 32 (04) :949-953