Banos, G. and A. Sigurdsson (June 1996) Application of contemporary methods for the use of international data in national genetic evaluations. Journal of Dairy Science 79(6): 1117-1125, ISSN: 0022-0302.
NAL Call No.: 44.8 J822.
Keywords: dairy cattle, bulls, genetic material, genetic evaluations across countries, national breeding programs, economically important traits, well-defined breeding goals.

Ballard, C.S., P. Mandebvu, C.J. Sniffen, S.M. Emanuele, and M.P. Carter (2001). Effect of feeding an energy supplement to dairy cows pre and postpartum on intake, milk yield, and incidence of ketosis. Animal Feed Science and Technology 93(1‑2): 55‑69, ISSN: 0377‑8401.
NAL Call No.: SF95.A55
Keywords: cows, Holstein, breed, ketosis, metabolic disease, calcium propionate,propylene glycol, beet pulp, ground corn, sugarcane molasses, dietary supplements, lactation, milk yield, tie stall housing.

Boelling, D., P. Madsen, and J. Jensen (2001). Genetic parameters of foot and leg traits in future AI bulls: II. Correlation to body conformation traits in daughters. Acta Agriculturae Scandinavica Section A Animal Science 51 (2): 122-128, ISSN: 0906-4702.
NAL Call No.: S3 A27
Keywords: dairy AI bulls, breed, Danish Red, Danish Friesian, Jersey, genetic correlations, foot and leg traits, hoof measurements, horn characteristics, claw disease, hoof trimming, scores for rear leg side view, rear leg rear view, bone structure, quality of hocks, foot angle, future selection of AI bulls.

Boer, I.J.M., F.W.A. de Brom, and J.M.G. Vorstenbosch (1995). An ethical evaluation of animal biotechnology: the case of using clones in dairy cattle breeding. Animal Science: An International Journal of Fundamental and Applied Research 61(3): 453-463, ISSN: 1357-7298.
NAL Call No.: SF1.A56
Keywords: dairy cattle, bioethics, moral values, biotechnology, cloning, animal welfare, genetic variation, artificial insemination, personal development.

Cartmill, J.A., S.Z. El-Zarkouny, B.A. Hensley, T.G. Rozell, J.F. Smith, and J.S. Stevenson (2001). An alternative AI breeding protocol for dairy cows exposed to elevated ambient temperature before or after calving or both. Journal of Dairy Science 84 (4): 799‑806, ISSN: 0022‑0302.
NAL Call No.: 44.8 J822
Keywords: dairy cows, lactation, artificial insemination, environmental temperature, synchronized females, gnrh, prostaglandins, timing, estrus, detection, conception rate, pregnancy rate, heat stress, relative humidity, postpartum interval, anestrus, blood serum, progesterone, embryo mortality, summer, Kansas.

Christensen, L.G. (1998). Possibilities for genetic improvement of disease resistance, functional traits and animal welfare. In: Impact of Reproductive Technology on Animal Breeding and Genetic Conservation. Proceedings of the Bertebos Prize Symposium, Falkenberg, Sweden, September 18-19, 1997, No. 29, S. Einarsson and J. Rendel (ed.), Scandinavian University Press: Oslo; Boston, p. 77-89.
NAL Call No.: S3 A27 Suppl.29
Keywords: breeding programes, embryo transfer, computer simulation, mathematical models, sires, dams, fertility, selection methods, animal welfare, health, selection, disease resistance, Scandinavia.

Cranford, J.L., and R.E. Pearson (2001). Relationships of sire predicted transmitting ability for somatic cell score with measures of daughter performance. Journal of Dairy Science 84 (6): 1501-1507, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: Holstein, breed, sire predicted transmitting ability, somatic cell score, mastitis occurrence, Virginia Tech dairy herd, linear regression coefficients.

Davis, S.R., I. Vetharaniam, M. Upsdell, E.S. Kolver, and A.B. Pleasants (2001). Modelling the impact of nutrition and genotype on lactation. Proceedings of the New Zealand Society of Animal Production 61: 237‑238, ISSN: 0370‑2731.
NAL Call No.: 49.9 N483
Keywords: dairy cows, mammary gland development, reproductive system, milk, reproductive system, secretion, udder, reproductive system, grazing, feeding method, modeling method, genotype, impact, lactation, nutritional status, nutrition impact, pasture, animal feed, New Zealand.

Dekkers, J.C. and J.P. Gibson (1998). Applying breeding objectives to dairy cattle improvement. Journal of Dairy Science 81(Supplement 2): 19-35.
NAL Call No.: SF221.A4
Keywords: selection criteria, interaction between the scientists and industry, selection indexes, index expression, index formulation, focus on response to selection, construction of component indexes, individual mating decisions, review.

Dekkers, J.C., B.A. Mallard, and K. Leslie (1994). Workshop: genetic improvement of resistance to mastitis of dairy cattle with special emphasis on somatic cell count. Journal of Dairy Science 77(2): 616-618, ISSN: 0022-0302.
NAL Call No.: 44.8 J822.
Keywords: genetic improvement, resistance to mastitis, physiology, immunology.

Distl, O. (2001). Implications of health traits in breeding of dairy cattle. [Die Bedeutung Von Gesundheitsmerkmalen in Der Zucht Von Milchrindern.] Archiv Fuer Tierzucht 44 (4): 365-380.
NAL Call No.: 49 AR23
Keywords: German cattle breeds. genetic improvement, health and fertility traits, datasets from Bavaria, Israel and Sweden, heritabilities for disease resistance, genetic variance.

Dobos, R.C., K.S. Nandra, K. Riley, W.J. Fulkerson, I.J. Lean, and R C. Kellaway (2001). Effects of age and liveweight at first calving on first lactation milk, protein and fat yield of Friesian heifers. Australian Journal of Experimental Agriculture 41 (1): 13-19, ISSN: 0816‑1089.
NAL Call No.: 23 Au792
Keywords: heifers, Australian Holstein Friesian, breed, individual and combined effects of age, and liveweight at first calving, grazed pasture, growth requirements, milk, protein, fat yields, first lactation.

Duraes, M.C., A.F. de Freitas, J. Valente, N.M. Teixeira, and R.B. Tendencia (2001). Genetic trend for milk and fat productions for Holstein Cattle in Minas Gerais State. [Tendencia genetica Para a Producao De Leite e De Gordura Em Rebanhos Da Raca Holandesa No Estado De Minas Gerais.] Revista Brasileira De Zootecnia 30 (1): 66-70.
NAL Call No.: SF1 R45
Keywords: breed, Holstein, genetic trends, milk and fat yields, statistical analyses, mixed models, herd year season at calving, effect of age at calving, birth records, milk production, Brazil.

Esslemont, R.J. and M.A. Kossaibati (2000). The use of databases to manage fertility. Animal Reproduction Science 60/61: 725-741, ISSN: 0378-4320.
NAL Call No.: QP251.A5
Keywords: dairy cows, fertility, dairy farming, computer databases, computer techniques, husbandry, management, health, performance, information systems, research, animal welfare, zoonoses, environmental protection, costs, literature reviews.

Fikse, W.F., and G. Banos (2001). Weighting factors of sire daughter information in international genetic evaluations. Journal of Dairy Science 84 (7): 1759-1767, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: dairy bulls, international genetic evaluations, national genetic evaluation results, alternative weighting factors on international evaluation results, progeny test scheme, semen exchange, breeding values, weighting factors, total number of daughters, total number of lactations, group size.

Goni, M.O., A.G. Miah, M.A.S. Khan, and M.N. Islam (2001). The performance of crossbred cows available in milk pocket area of Bangladesh. Indian Journal of Animal Sciences 71 (1 ): 1166‑1168, ISSN: 0367‑8318.
NAL Call No.: 41.8 IN22
Keywords: crossbred dairy cows, Sahiwal, Holstein‑Friesian, breed, Sahiwal, productive, reproductive performance, milk yield, lactation length, reproductive performance, average birth weight of calves, age at puberty, age at first calving, service per conception, postpartum heat period, gestation period, calving interval, breed differences, Bangladesh.

Grochowska, R., A. Lunden, L. Zwierzchowski, M. Snochowski, and J. Oprzadek (2001). Association between gene polymorphism of growth hormone and carcass traits in dairy bulls. Animal Science Pencaitland 72 (3): 441-447.
Keywords: bulls, Polish Friesian, breed, leucine/valine substitution polymorphism, amino acid, growth hormone (GH) protein, carcass traits, carcass gain, weights of meat, bones, intermuscular and subcutaneous fat.

Haile Mariam, M., M.E. Goddard, and P.J. Bowman (2001). Estimates of genetic parameters for daily somatic cell count of Australian dairy cattle. Journal of Dairy Science 84 (5): 1255-1264, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: genetic parameters, somatic cell counts, sire random regression model, conventional ten trait analyses, first lactation, variation in heritabilities, test day records.

Hansen, L.B. (2000). Consequences of selection for milk yield from a geneticist's viewpoint. Journal of Dairy Science 83(5): 1145-1150.
NAL Call No.: 44.8 J822
Abstract: The annual genetic trend for milk yield of Holsteins in the United States has accelerated with time and had means of 37 kg during the 1960s, 79 kg during the 1970s, 102 kg during the 1980s, and 116 kg from 1990 to 1996. Selection programs of the dairy cattle breeding firms in the United States have become more selective and effective with time, and selection goals continue to place major emphasis on yield traits, which clearly impact profitability of dairying. Traits other than yield are also included in selection goals of the industry. Type traits, especially those related to udderconformation, body size, and angularity have been included in selection programs and have altered the appearance and physiological functions of Holstein cows. Selection programs have continued to increase the body size of Holsteins despite mounting evidence that smaller cows have advantages for survival and efficiency. Favorable emphasis on cows that appear sharper might result in cows that are more prone to metabolic problems. The high intensity of current selection in the United States has brought about a rapid increase in genetic relationships among animals. Increased relationships will inevitably result in undesirable levels of inbreeding in the commercial cow population unless dairy producers turn to crossbreeding.
Keywords: dairy cows, Holstein-Friesian, genetic trend, milk yield, body weight, selection intensity, inbreeding depression, selection responses, female fertility.

Hansen, L.B., J.B. Cole, G.D. Marx, and A.J. Seykora (1999). Productive life and reasons for disposal of Holstein cows selected for large versus small body size. Journal of Dairy Science 82 (4): 795-801.
NAL Call No.: 44.8 J822
Abstract: Holstein cows were compared for direct and correlated responses to selection for large versus small body size. The divergent selection lines differed for body weight, body dimensions, and birth weight of calves but did not differ for production or calving ease. Also, cows in the small line required fewer services to conception during first lactation than did cows in the large line. Cows in the body size lines differed for three reasons for disposal: udder conformation, which favored cows in the large line; problems with legs and feet, which favored cows in the small line; and a miscellaneous category, which included internal infections and favored cows in the small line. Productive life to a maximum of 6 yr was 87.7 d (15.4%) longer for cows in the small line than for cows in the large line. Continued selection for larger Holstein cows in North America might not be economically justifiable.
Keywords: dairy cows, size, selection criteria, artificial selection, longevity, productive life, liveweight, birth weight, calving, lactation, conception rate, culling, height, length, diameter.

Healy, P.J. (1996). Testing for undesirable traits in cattle: an Australian perspective. Journal of Animal Science 74(4): 917-922, ISSN: 0021-8812.
NAL Call No.: 49 J82
Abstract: A variety of autosomal recessive defects, many lethal to the newborn calf, have been recognized in Australia. Definition of a defect at the biochemical or molecular level facilitates development of heterozygote detection tests essential for efficient disease control programs. The prevalence of alpha-mannosidosis in Angus and Murray Greys, generalized glycogenosis in Brahmans and Shorthorns, and citrullinemia in Holstein/Friesians has been reduced as a result of industry-sponsored disease-control programs. These defects were disseminated as a consequence of selection focused on desirable traits carried by individuals. In the long term, an increase in crossbreeding in commercial beef production will reduce the significance of recessive defects. Caution will be required to reduce the risk of dissemination of recessive defects resulting from increased selection pressure within the dairy industry presently dominated by Holstein/Friesians.
Keywords: cattle, recessive lethals, bulls, genetic defects, breeding value, genetic disorders, cattle breeds, heterozygotes, animal welfare.

Heringstad, B., G. Klemetsdal, and J. Ruane (2001). Responses to selection against clinical mastitis in the Norwegian cattle population. Acta Agriculturae Scandinavica Section A Animal Science 51 (2): 155-160, ISSN: 0906-4702.
NAL Call No.: S3 A27
Keywords: genetic trend, clinical mastitis, Norwegian Cattle, mastitis resistance, average selection differential.

Juga, J. (1998). The Nordic model for animal welfare and sustainability: is it competitive? In: Impact of Reproductive Technology on Animal Breeding and Genetic Conservation. Proceedings of the Bertebos Prize Symposium, Falkenberg, Sweden, September 18-19, 1997, No. 29, S. Einarsson and J. Rendel (ed.), Scandinavian University Press: Oslo; Boston, p. 108-114.
NAL Call No.: S3 A27 Suppl. 29
Keywords: Finnish dairy cattle, breeding programs, selection, genetic response, animal welfare, health, milk yield, Finland.

Kadarmideen, H.N., and J.E. Pryce (2001). Genetic and economic relationships between somatic cell count and clinical mastitis and their use in selection for mastitis resistance in dairy cattle. Animal Science Pencaitland 73 (1): 19-28.
Keywords: cows, Holstein, breed, clinical mastitis, somatic cell count, genetic and economic relationship of lactation average, genetic parameters, permanent environmental, residual and phenotypic correlations, selection for mastitis resistance, breeding goals, genetic resistance.

Kudrin, A.G. (2001). The effects of the selection of highly productive Holstein cows according to fermental blood tests. Doklady Rossiiskoi Akademii Sel'Skokhozyaistvennykh Nauk (1): 38-39.
NAL Call No.: S1 S68
Keywords: cows, Holstein, breed, blood, selection based on the level of ferments in the serum, milk productivity.

Larroque, H., and V. Ducrocq (2001). Relationships between type and longevity in the Holstein breed. Genetics Selection Evolution Paris 33 (1): 39-59.
NAL Call No.: QH431 A1A52
Keywords: French Holstein, breed, type traits, longevity, survival analysis model, udder traits, udder depth, length of productive life, voluntary culling, estimated breeding value.

Lee, D.H., and K.J. Han (2001). Genetic parameters for lactation using the coupling chains with Gibbs sampler in multivariate animal models with missing traits in Korean Holstein cattle. Journal of Animal Science and Technology 43 (1): 53-64.
NAL Call No.: SF1.H36
Keywords: genetic parameters, milk production, lifetime lactation productions, Gibbs sampling vs Bayesian inference, repeatability model, Dairy Cattle Improvement Center, Korea.

Liinamo, A.E. and J.A. Van Arendonk (1999). Combining selection for carcass quality, body weight, and milk traits in dairy cattle. Journal of Dairy Science 82(4): 802-809, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: selection strategies, carcass quality, body weight, milk aggregate genotype.

Lukaszewicz, M. and G. Sender (1999). Conformation traits in selection indices in dairy cattle, A review. Prace i Materialy Zootechniczne 55: 41-49, ISSN: 0137-1649.
NAL Call No.: SF1 P67
Keywords: adaptative complex, animal welfare, breeding goals, conformation traits, ecology, milk yield.

Meyer, C.L., P.J. Berger, K.J. Koehler, J.R. Thompson, and C.G. Sattler (2001). Phenotypic trends in incidence of stillbirth for Holsteins in the United States. Journal of Dairy Science 84 (2): 515-523, ISSN: 0022‑0302.
NAL Call No.: 44.8 J822
Keywords: Holstein, breed, stillbirths, dystocia, MidStates Dairy Records Processing Center and the National Association of Animal Breeders, influence of sire, herd, year, season, sex of calf, parity of dam, calving ease, gestation length, survival of the calf, United States.

Meyer, C.L., P.J. Berger, J.R. Thompson, and C.G. Sattler (2001). Genetic evaluation of Holstein sires and maternal grandsires in the United States for perinatal survival. Journal of Dairy Science 84 (5): 1246-1254, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: primiparous cows, Holstein, breed, stillbirth, genetic parameters, perinatal survival rates, National Association of Animal Breeders calving ease database, data analysis, effects for sex of calf, dystocia, season of birth, gestation length, milk yield.

Muller, U., P. Reinecke, W. Leucht, and T. Dalle (1999). Breeding and biological evaluation of selection for yield in dairy cattle. [Zuchtungsbiologische bewertung der leistungsselektion beim Milchrind.] Archiv fur Tierzucht 42(1): 33-44, ISSN: 0003-9438.
NAL Call No.: 49 AR23
Keywords: dairy cattle, selection, dairy performance, fitness, reviews, natural selection, animal welfare, German language.

Murray, R.D. and W.R. Ward (1993). Welfare implications of modern artificial breeding techniques for dairy cattle and sheep. The Veterinary Record: Journal of the British Veterinary Association 133(12): 283-286, ISSN: 0042-4900.
NAL Call No.: 41.8 V641.
Keywords: legislation described, cruelty, animal welfare, United Kingdom, farm animal breeding, acceptable practice, public concern, biotechnical innovations.

Nash, D.L., G.W. Rogers, J.B. Cooper, G.L. Hargrove, J.F.Keown, and L.B. Hansen (2000). Heritability of clinical mastitis incidence and relationships with sire transmitting abilities for somatic cell score, udder type traits, productive life, and protein yield. Journal of Dairy Science 83(10): 2350-2360. ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: cows, grazing, feeding behavior, movement, hygiene, resting/lying down, social behavior, pastures, cattle housing, animal welfare, health, German language, conference paper.

Norman, H.D., R.L. Powell, J.R. Wright, and C.G. Sattler (2001). Overview of progeny test programs of artificial insemination organizations in the United States. Journal of Dairy Science 84 (8): 1899-1912, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: Ayrshires, Brown Swiss, Guernseys, Holsteins, Jerseys, Milking Shorthorns, progeny test programs, artificial insemination, embryo transfer, United States.

Notter, D.R. (1999). The importance of genetic diversity in livestock populations of the future. Journal of Animal Science 77(1): 61-69, ISSN: 0021-8812.
NAL Call No.: 49 J82
Abstract: Farm animal genetic diversity is required to meet current production needs in various environments, to allow sustained genetic improvement, and to facilitate rapid adaptation to changing breeding objectives. Production efficiency in pastoral species is closely tied to the use of diverse genetic types, but greater genetic uniformity has evolved in intensively raised species. In poultry, breeding decisions are directed by a few multinational companies and involve intense selection, the use of distinct production lines, and very large populations. In dairy cattle, the Holstein breed dominates production. Intensive sire selection is leading to relatively rapid inbreeding rates and raises questions about long-term effects of genetic drift. Key questions in management of farm animal genetic diversity involve the distribution of potentially useful quantitative trait locus alleles among global livestock breeds. Experiments with tomato, maize, and mice suggest that favorable alleles can exist in otherwise lowly productive stocks; this cryptic variation may potentially contribute to future selection response. Genetic improvement under relatively intense unidirectional selection may involve both increases in the frequency of favorable additive alleles as well as the progressive breakdown of homeostatic regulatory mechanisms established under the stabilizing selection that is characteristic of natural populations. Recombination among closely linked regulatory loci and new, potentially avorable mutations are possible sources of long-term genetic variation. A greater understanding of the potential that these alternative mechanisms have for supporting long-term genetic improvement and of genetic relationships among global livestock populations are priorities for managing farm animal genetic diversity.
Keywords: global livestock populations, poultry, dairy, production efficiency, genetic uniformity, intensive livestock production, inbreeding rates, genetic drift, quantitative trait locus alleles, unidirectional selection, review.

Ojango, J.M.K., and G.E. Pollott (2001). Genetics of milk yield and fertility traits in Holstein Friesian cattle on large scale Kenyan farms. Journal of Animal Science 79 (7): 1742-1750, ISSN: 0367‑8318.
NAL Call No.: 41.8 IN22
Keywords: cows, bulls, Holstein Friesian, breed, milk production, genetic trends, fertility traits, average breeding values large, lactation length, calving interval, age at first calving. Large, medium, and small farms in Kenya.

Pelicioni, L.C., and S.A. de Queiroz (2001). Effect of cytoplasmic lineage on milk yield of Caracu cattle breed. [Efeito da linhagem citoplasmatica sobre a producao de leite em bovinos da raca Caracu.] Revista Brasileira De Zootecnia 30 (1): 109-114.
NAL Call No.: SF1 R45
Keywords: Caracu, breed cytoplasmic lineage, milk yield, genetic parameters, milk yield, maternal and cytoplasmic lineage effects.

Philipsson, J., G. Banos, and T. Arnason (1994). Present and future uses of selection index methodology in dairy cattle. Journal of Dairy Science 77(10): 3252-3261, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: breeding value, single traits, multiple-trait evaluation, covariance component estimation, nonlinear models, discounted gene flow, dynamic programming, international sire evaluations, computing power, integrated AI, recording schemes, functional nonproduction traits, mastitis resistance, fertility, review.

Plante, Y., J.P. Gibson, J. Nadesalingam, Y.H. Mehrabani, S. Lefebvre, G. Vandervoort, and G.B. Jansen (2001). Detection of quantitative trait loci affecting milk production traits on 10 chromosomes in Holstein cattle. Journal of Dairy Science 84 (6): 1516-1524, ISSN: 0022‑0302.
NAL Call No.: 44.8 J822
Keywords: Holstein, breed, sires, quantitative trait loci, milk, fat, protein yield.

Riquet, J., W. Coppieters, N. Cambisano, J.J. Arranz, et al. (1999). Fine-mapping of quantitative trait loci by identity by descent in outbred populations: application to milk production in dairy cattle. Proceedings of the National Academy of Sciences of the United States of America 96(16): 9252-9257, ISSN: 0027-8424.
NAL Call No.: 500 N21P
Keywords: Holstein-Friesian cows, sires, breeding, selection, genetics, quantitative trait locus (QTL), milk production, nucleotide polymorphisms, fine-mapping, marker-assisted segregation, milk fat haplotype.

Rocha, J.L., J.O. Sanders, D.M. Cherbonnier, T.J. Lawlor, and J.F. Taylor (1998). Blood groups and milk and type traits in dairy cattle: after forty years of research. Journal of Dairy Science 81(6): 1663-1680, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: Holstein breeding schemes, quantitative variation, trait loci, linear models, C blood group effect, rump angle, L effect on milk yield, composition traits, S effect on milk fat yield, biochemistry, physiology, quantitative genetics.

Roxstrom, A., E. Strandberg, B. Berglund, U. Emanuelson, and J. Philipsson (2001). Genetic and environmental correlations among female fertility traits and milk production in different parities of Swedish Red and White dairy cattle. Acta Agriculturae Scandinavica Section A Animal Science 51 (1): 7-14, ISSN: 0906-4702.
NAL Call No.: S3 A27
Keywords: genetic correlations, fertility, production traits, number of inseminations per service, number of treatments for reproductive distrubances, interval between first and last inseminations, interval between calving and first insemination, interval between calving and last insemination, early milk production.

St Pierre, N.R. (2001). Invited review: integrating quantitative findings from multiple studies using mixed model methodology. Journal of Dairy Science 84 (4): 741-755, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: relationships between environment and management, profit margins, improved mathematical and statistical tools, computer technology, accurate information, published studies, future research, quantitative models, studies as blocks, random effects, predictor variables, regression models, biased, variance estimates, statistical software, meta analyse.

Veerkamp, R.F., E.P.C. Koenen and G. De Jong(2001). Genetic correlations among body condition score, yield, and fertility in first‑parity cows estimated by random regression models. Journal of Dairy Science 84(10): 2327‑2335, ISSN: 0022‑0302.
NAL Call No.: 44.8 J822
Keywords: dairy cows, body condition score, analytical method, fertility, genetic correlation, heritability, lactation, milk yield, parity, random regression model.

Weigel, K.A., T. Kriegl, and A.L. Pohlman (1999). Genetic analysis of dairy cattle production traits in a management intensive rotational grazing environment. Journal of Dairy Science 82(1): 191-195, ISSN: 0022-0302.
NAL Call No.: 44.8 J822
Keywords: low input dairy herd management, predictability of progeny performance, lactation data, heritability estimates, milk, fat, and protein content, progeny testing, US dairy producers.

Zwald, N.R., K.A. Weigel, W.F. Fikse, and R. Rekaya (2001). Characterization of dairy production systems in countries that participate in the International Bull Evaluation Service. Journal of Dairy Science 84(11): 2530‑2534, ISSN: 0022‑0302.
NAL Call No.: 44.8 J822
Keywords: Holstein dairy cows, dairy production systems, genotype‑environment interactions, herd size, lactation, milk, dairy product, yield, management practices, climate differences Australia, Austria, Belgium, Canada, Czech Republic, Estonia, Finland, Germany, Hungary, Ireland, Israel, Italy, Netherlands, New Zealand, South Africa, Switzerland, United States.