λ¨νμ§ κ°μ²΄λͺ¨νμ μ΄μ©ν μ‘μ’ κ° μΆμ νλ‘κ·Έλ¨μ ν΄λ₯Ό ꡬνλ μ»΄ν¨ν° νλ‘κ·Έλ¨μ ν¬νΈλ μΈμ΄λ₯Ό μ΄μ©νμ¬ μ체κ°λ°νμκ³ , νλ‘κ·Έλ¨μ μλ£κΈ°λ°μΌλ‘ λ°λ³΅μ μΌλ‘ κ³μ°μ ν΄ λκ°λ κ°μ λ²μ μ΄μ©ν κ²μΌλ‘ μΌλ°μ μΈ μκ³ λ¦¬μ¦μΌλ‘ νλ‘κ·Έλ¨μ κ°λ°νκ³ μ΄μ ν¨μ¨μ κ°μ ν κ°μ μκ³ λ¦¬μ¦μΌλ‘ νλ‘κ·Έλ¨μ κ°λ°νμ¬, λ νλ‘κ·Έλ¨ κ° ν¨μ¨μ λΉκ΅νμλ€. κΈ°μ‘΄μ μ ν΅μ μΈ μκ³ λ¦¬μ¦μ μμ°¨μ μΈ λ°λ³΅λ¬Έμ μ΄μ©νμ¬ μλ£λ₯Ό μ½κ³ κΈ°λ‘νλ λ°©λ²μ΄λ©°, μλ‘μ΄ μκ³ λ¦¬μ¦μ ν¨κ³Όλ³λ‘ LHSλ₯Ό μ§μ μμ±νμ¬ μΆμ νλ λ°©λ²μ μ¬μ©νμλ€. κ°λ°λ λ κ°μ§ νλ‘κ·Έλ¨μΌλ‘ μ‘μ’ κ°λ₯Ό μΆμ νκ³ , κ·Έ μΆμ κ°μ΄ μ ννκ² νκ°λμλμ§ μμ보기 μνμ¬ κΈ°μ‘΄μ κ°λ°λμ΄ μ¬μ©λκ³ μλ BLUPF90 (Misztal, 2007)κ³Ό MTDFREML (Boldman λ±, 1999)κ³Ό λΉκ΅νμ¬ λ³΄μλ€. μλ‘ λ€λ₯Έ νλ‘κ·Έλ¨μΌλ‘ μΆμ λ μ‘μ’ κ°κ°μ μκ΄μ μ 체 νλͺ©μμ 99% μ΄μ κ³ λμ μκ΄μ΄ λνλ¬μΌλ©°, νλ‘κ·Έλ¨ μΆμ μΉ κ°μ λμ μκ΄μΌλ‘ λ³Ό λ Model I, Model IIλ μ ννκ² κ°λ°λμκ³ νκ°λ κ²μ νμΈν μ μμλ€. Solutionμ΄ μλ ΄ λ λκΉμ§μ λ°λ³΅νμλ Model Iμ 2,568 round, Model IIλ 1,038 roundλ‘ μλ ΄λμ΄ Model IIκ° Model Iλ³΄λ€ μμ λ°λ³΅νμμμ μλ ΄μ΄ λ κ²μ νμΈν μ μμμΌλ©°, μλ ΄μλλ Model Iμ 256.008μ΄, Model IIλ 235.729μ΄λ‘ Model IIκ° Model I λ³΄λ€ μ½ 10% μ λ κ°μ λ κ²μ νμΈν μ μμλ€. κ°λ°λ νλ‘κ·Έλ¨μ κΈ°μ‘΄ D/Bμ μ°κ³νλ€λ©΄ λκ° λ° μ§μ체 λ±μ μ§μμ μΈ κ°λ μ 보λ₯Ό μ 곡ν μ μμΌλ©°, λκ° λ¨μ μμ μ μ λ₯λ ₯νκ°λ‘ μμκ°λμ λλͺ¨ν μ μμ κ²μ΄λΌ μ¬λ£λλ€. Estimate breeding value can be used as single trait animal model was developed directly using the Fortran language program. The program is based on data computed by using the indirect method repeatedly. The program develops a common algorithm and imprves efficiency. Algorithm efficiency was compared between the two programs. Estimated using the solution is easy to farm and brand the service, pedigree data base was associated with the development of an improved system. The existing program that uses the single trait animal model and the comparative analysis of efficiency is weak because the estimation of the solution and the conventional algorithm programmed through regular formulation involve many repetition; therefore, the newly developed algorithm was conducted to improve speed by reducing the repetition. Single trait animal model was used to analyze Gauss-Seidel iteration method, and the aforesaid two algorithms were compared thorough the mixed model equation which is used the most commonly in estimating the current breeding value by applying the procedures such as the preparation of information necessary for modelling, removal of duplicative data, verifying the parent information of based population in the pedigree data, and assigning sequential numbers, etc. The existing conventional algorithm is the method for reading and recording the data by utilizing the successive repetitive sentences, while new algorithm is the method for directly generating the left hand side for estimation based on effect. Two programs were developed to ensure the accurate evaluation. BLUPF90 and MTDFREML were compared using the estimated solution. In relation to the pearson and spearman correlation, the estimated breeding value correlation coefficients were highest among all traits over 99.5%. Depending on the breeding value of the high correlation in Model I and Model II, accurate evaluation can be found. The number of iteration to convergence was 2,568 in Model I and 1,038 in Model II. The speed of solving was 256.008 seconds in Model I and 235.729 seconds in Model II. Model II had a speed of approximately 10% more than Model I. Therefore, it is considered to be much more effective to analyze large data through the improved algorithm than the existing method. If the corresponding program is systemized and utilized for the consulting of farm and industrial services, it would make contribution to the early selection of individual, shorten the generation, and cultivation of superior groups, and help develop the Hanwoo industry further through the improvement of breeding value based enhancement, ultimately paving the way for the country to evolve into an advanced livestock country.