21- BEYNHESK LL, BERTRAND JK. National genetic improvement programmes in the United States beefindustry. South African Journal of Animal Science, 20, 103109, 1990.
22- KENNEDY BW. Use of mixed model methodology in analysis of designed experiments. In: Ginola D. Hammond K. (Eds), Advances in statistical methods for genetic improvement oflivestock. Springer-Verlag, Berlin, pp.77-97, 1990.
23- BELONSKY GM, KENNEDY BW. Selection on individual phenotype and best and best linear unbiased predictor of breeding value in a closed swine herd. Journal of Animal Science, 66, 1124-1131, 1988.
24- KEELE JW, JOHNSON RK, YOUNG LD, SOCHA TE. Comparison of methods of predicting breeding values of swine. Journal of Animal Science, 66, 3040-3048, 1988.
25- MABRY JW, SEE MT. Selection with the animal model versus selection within contemporary groups for swine. Journal of Dairy Science, 73, 2657-2665, 1990.
26- FALCONER DS, MACKAY TRC. Quantitative Genetics, 4th edition, Longman, Essex, UK, pp. 65-69, 1996.
27- BLAIR HT, POLLACK El Estimation of genetic trend in a selected population with and without the use of a control population. Journal of Animal Science, 58, 877-886, 1984.
28- SORENSON DA, KENNEDY BW. Estimation of response to selection using least squares and mixed model methodology. Journal of Animal Science, 58, 1097-1106, 1984.
29- SIMM G. Genetic Improvement of Cattle and Sheep. CABI Publishing, Wallingford, Oxon OXIO 8DE, UK, 148-195, 2000.
30- EBUBAKAR BY. Evaluation of the performance of Holsteins in Mexico and Colombia. Ph.D. Thesis, Cornell University, 1985.
31- ZHANG Q, ZHANG Y, HAUSSMANN H, LIU ZT. Genetic statistical analysis of first lactation milk yield ofBeijing Holstein cattle. Acta Agriculturae Universitatis Pekinensis, 21: 4, 435-440, 1995.
32- ULUTA~ Z., EFiL H., BAKIR B. Siyah-Alaca s1gtrlanna ait silt veriminin varyans bile~nleri, genetik parametreleri ve danuzbk degerinin tahmin edilmesi. Ulusal Hayvanctbk Kongresi, sayfa 175, 1999.
33- EL BARBARY ASA, BADRAN AE, EL GILIL MF, BADAWY LE. Estimates of genetic parameters for lactation traits in German Friesian cattle raised in Egypt. Alexandria Journal of Agricultural Research, 44: 3, 1-13, 1999.
34- DEGROOT BJ, KEOWN JF, VAN VLECK LD, MAROTZ EL. Genetic parameters and responses oflinear type, yield traits, and somatic cell scores to divergent selection for predicted transmitting ability for type in Holsteins. Journal ofDairy Science, 85: 6, 1578-1585, 2002.
35- KIM JS, PARK KD, JEONG HY, AHN BS, LEE KJ. Estimation of regional genetic trends for milk and fat yields in the Korean Holstein population. Korean Journal of Animal Science, 41: 1, 11-14, 1999.
36- BADINGA L, COLLIER RJ, THATCHER WW. Interrelationships ofmilk yield, body weight and reproductive performance. Journal ofDairy Science, 68: 7, 18281831, 1985.
37- SAATCI M, ULUTAS Z, DEWI IA, AKKUS i. Environmental effects, variance
components and estimated breeding values of milk yield for Holstein cows in Dalaman state farm. Atatiirk Universitesi Ziraat fakiiltesi Dergisi, 31 : 2, 97-101, 2000.
62



68. SAYFAYA BENZER SAYFALAR

Tarım işletmeleri genel müdürlüğüne bağlı işletmelerde yetiştirilen farklı sığır ırklarının süt ve döl verim özelliklerine ait genotipik ve fenotipik parametre tahmini - Sayfa 245
202 Mangurkar, B.R., phadnis, Y.P., Pande, A.b., 1987. First lactation performance of imported Canadian Holstein Friesian and Jersey heifers in India. World Review of Animal Production, 23, (2,3,5), 27-32. Mansour, H., 1992. Some Reproductive Performance Parameters of Friesian and Holstein Friesian Cattle in The Kingdom of Saudi Arabia. Annals of Agricultural Science, 37, 85-94. Mantysaarı, E.,...

68. SAYFADAKI ANAHTAR KELIMELER

yield
milk
genetic
estimation
cattle
dairy


68. SAYFA ICERIGI

21- BEYNHESK LL, BERTRAND JK. National genetic improvement programmes in the United States beefindustry. South African Journal of Animal Science, 20, 103109, 1990.
22- KENNEDY BW. Use of mixed model methodology in analysis of designed experiments. In: Ginola D. Hammond K. (Eds), Advances in statistical methods for genetic improvement oflivestock. Springer-Verlag, Berlin, pp.77-97, 1990.
23- BELONSKY GM, KENNEDY BW. Selection on individual phenotype and best and best linear unbiased predictor of breeding value in a closed swine herd. Journal of Animal Science, 66, 1124-1131, 1988.
24- KEELE JW, JOHNSON RK, YOUNG LD, SOCHA TE. Comparison of methods of predicting breeding values of swine. Journal of Animal Science, 66, 3040-3048, 1988.
25- MABRY JW, SEE MT. Selection with the animal model versus selection within contemporary groups for swine. Journal of Dairy Science, 73, 2657-2665, 1990.
26- FALCONER DS, MACKAY TRC. Quantitative Genetics, 4th edition, Longman, Essex, UK, pp. 65-69, 1996.
27- BLAIR HT, POLLACK El Estimation of genetic trend in a selected population with and without the use of a control population. Journal of Animal Science, 58, 877-886, 1984.
28- SORENSON DA, KENNEDY BW. Estimation of response to selection using least squares and mixed model methodology. Journal of Animal Science, 58, 1097-1106, 1984.
29- SIMM G. Genetic Improvement of Cattle and Sheep. CABI Publishing, Wallingford, Oxon OXIO 8DE, UK, 148-195, 2000.
30- EBUBAKAR BY. Evaluation of the performance of Holsteins in Mexico and Colombia. Ph.D. Thesis, Cornell University, 1985.
31- ZHANG Q, ZHANG Y, HAUSSMANN H, LIU ZT. Genetic statistical analysis of first lactation milk yield ofBeijing Holstein cattle. Acta Agriculturae Universitatis Pekinensis, 21: 4, 435-440, 1995.
32- ULUTA~ Z., EFiL H., BAKIR B. Siyah-Alaca s1gtrlanna ait silt veriminin varyans bile~nleri, genetik parametreleri ve danuzbk degerinin tahmin edilmesi. Ulusal Hayvanctbk Kongresi, sayfa 175, 1999.
33- EL BARBARY ASA, BADRAN AE, EL GILIL MF, BADAWY LE. Estimates of genetic parameters for lactation traits in German Friesian cattle raised in Egypt. Alexandria Journal of Agricultural Research, 44: 3, 1-13, 1999.
34- DEGROOT BJ, KEOWN JF, VAN VLECK LD, MAROTZ EL. Genetic parameters and responses oflinear type, yield traits, and somatic cell scores to divergent selection for predicted transmitting ability for type in Holsteins. Journal ofDairy Science, 85: 6, 1578-1585, 2002.
35- KIM JS, PARK KD, JEONG HY, AHN BS, LEE KJ. Estimation of regional genetic trends for milk and fat yields in the Korean Holstein population. Korean Journal of Animal Science, 41: 1, 11-14, 1999.
36- BADINGA L, COLLIER RJ, THATCHER WW. Interrelationships ofmilk yield, body weight and reproductive performance. Journal ofDairy Science, 68: 7, 18281831, 1985.
37- SAATCI M, ULUTAS Z, DEWI IA, AKKUS i. Environmental effects, variance
components and estimated breeding values of milk yield for Holstein cows in Dalaman state farm. Atatiirk Universitesi Ziraat fakiiltesi Dergisi, 31 : 2, 97-101, 2000.
62

İlgili Kaynaklar




single.php