Enns, R. M. 2016. Growing Profit by Understanding Cow Maintenance Efficiency and Maintenance

NCERA225 2016 Presentations:

Decker, J.E., Osterstock, J.B. and D.W. Moser. 2015. Genomic Selection and GE-EPDs. Academy of Veterinary Consultants Annual Meeting, Kansas City, MO.

Enns, R. M. 2016. Growing profit by understanding cow maintenance efficiency and maintenance requirements in an animal and systems context. Beef Improvement Federation Annual Research Symposium and Convention.

Enns, R.M. 2016. Guidelines for collection of bovine respiratory disease data. Beef Improvement Federation Annual Research Symposium and Convention.

Kuehn, L.A. 2016. Potential impacts of functional variants on national cattle evaluation. National Beef Cattle Evaluation Consortium. Brown Bagger Series.

Miller, S. P. 2016. Implementation of single step methodologies at Angus Genetics, Inc. National Beef Cattle Evaluation Consortium. Brown Bagger Series.

Miller, S.P. 2016. Let’s talk beef cows: What’s driving maternal performance. Beef and

Lamb Genetics, Beef Expo, Fielding, New Zealand.

Miller, S.P. and D.W. Moser. 2016. Implementation of Single-Step Methodologies at Angus Genetics Inc. National Angus Convention and Trade Show, Indianapolis, IN.

Moser, D. W. 2016. Breeding Cattle for the Beef Industry of Tomorrow. Georgia Angus Association Annual Meeting, Athens.

Moser, D.W. 2016. Genomic Selection in Beef Cattle. Select Sires Beef Tour, Adams, TN.

Moser, D.W. 2016. Genomic Selection in Beef Cattle. Purina Mills Seedstock Supplier Conference, Gray Summit, MO.

Moser, D.W. 2016. Genomic Selection in U.S. Angus. 3rd Brazilian Angus Congress, Porto Alegre, RS, Brazil.

Moser, D.W. 2016.Genetic Selection and GE-EPDs. Cattlemen’s Boot Camp, Kennewick, WA.

Retallick, K.J. 2016. Breeding Cattle for Tomorrow’s Beef Industry. Oregon Cattlemen’s Association Annual Meeting.

Retallick, K.J. 2016. Genetic Selection and GE-EPDs: Breeding Cattle for Tomorrow. Louisiana Cattlemen’s Association Annual Meeting.

Saatchi, M. 2016. Implementation of single step methodologies at International Genetic Solutions. National Beef Cattle Evaluation Consortium. Brown Bagger Series.

Spangler, M.L. 2015. Economically relevant traits and selection indices. Range Beef Cow Symposium, Loveland, CO.

Spangler, M.L. 2015.New trends and technologies in genetic selection. Shorthorn Impact Conference, Kansas City, MO.

Spangler, M.L. 2015. State of the art in modeling GE-EPDs. NeogenGeneSeek Innovation Seminar, Lincoln, NE.

Spangler, M.L. 2016. How are we incorporating efficiency data into today’s management decisions? Kentucky Cattlemen’s meeting, Owensboro, KY.

Spangler, M.L.2016. Beef cattle genetics 101. Morrill County Cattlemen’s meeting, Bridgeport, NE.

Spangler, M.L. and R.L. Weaber. 2016. Application of advanced genetic technology in beef cattle. B.K. “Kley” Johnson Lectureship on Current Ranching Issues, King Ranch Institute for Ranch Management, Kingsville, TX.

Spangler, M.L. 2016. Selection indexes: Understanding how to use them now and in the future. Beef and Beyond, Champaign, IL.

Spangler, M.L. 2016. Genomic-enhanced EPD. Beef and Beyond, Champaign, IL.

Spangler, M.L. 2016. Harvesters of Grass: The Genes Make a Difference. UNL OLLIE series, Lincoln, NE.

Spangler, M.L. 2016. Genomic-enhanced EPD. Salers board meeting, Lincoln, NE.

Spangler, M.L.2016. Genetic tools for improved performance. Purina Sale Conference, Sioux Falls, SD.

Spangler, M.L., and G. Morota. 2016. Quantitative Genetics and Genomics Shortcourse, Piricicaba, Brazil.

Spangler, M.L. 2016. Extension demonstration project outcomes: Industry adoption and translation of project deliverables. Beef Improvement Federation annual meeting, Manhattan, KS.

Spangler, M.L. 2016. Traditional genetic selection for fertility: indicator traits and potential antagonisms. Applied Reproductive Strategies in Beef Cattle, Des Moines, IA.

Spangler, M.L. 2016. Current Status of Genomic Selection in the U.S. Beef Industry. DNA In Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE.

Spangler, M.L. 2016. Genetic selection for more profitable cow/calf enterprises: tackling input costs. State of Beef Conference, North Platte, NE.

Spangler, M.L. 2016. Genomic Selection: helping commercial producers. Salers Genetic Summit, Bismarck, ND.

Spangler, M.L. 2016. Practical Lessons Learned from Performing Training and Evaluation. DNA in Beef Cattle: where we've been, where we're at, and where we're going, Clay Center, NE.

Spangler, M.L.2016. Benefits and Current Limitations of Multi-breed National Cattle Evaluation. National Beef Cattle Evaluation Consortium Brown Bagger Webinar Series.

Spangler, M.L. 2016. New Trait Development. Beefmaster board of directors meeting, Branson, MO.

Spangler, M.L. 2016. EPDs and Selection Indices. Beefmaster Annual Convention, Branson, MO.

Speidel, S.E. 2016. Prototype Stayability Evaluation using Random Regression. Beef Improvement Federation Research Symposium and Convention.

Speidel, S.E. 2016. Quantifying animal performance. A genetics perspective. Niman Ranch supplier meeting.

Speidel, S.E. 2016. New genetic models for Stayability, including heterosis. National Beef Cattle Evaluation Consortium. Brown Bagger Series.

Weaber, R. L. 2016. Selection for improved feed efficiency across the beef value chain. September 8, 2016. Buenos Aires, Argentina (K)

Weaber, R. L. 2015. Utilization of heterosis in the beef value chain. Zimbabwe Herd Book Beef School 2015. October 20-21, 2015. Harare, Zimbabwe. (K)

Weaber, R. L. 2015. What can commercial producers do to improve reproductive efficiency? Zimbabwe Herd Book Beef School 2015. October 20-21, 2015. Harare, Zimbabwe. (K)

Weaber, R. L. 2015. Addressing fertility using genetics and management. Zimbabwe Herd Book Beef School 2015. October 20-21, 2015. Harare, Zimbabwe. (K)

Weaber, R. L. 2015. Practical application of genomics in the USA. Aldam Stockman School. October 14-16, 2015. Aldam, South Africa. (K)

Weaber, R. L. 2015. What can commercial producers do to improve reproductive efficiency? Aldam Stockman School. October 14-16, 2015. Aldam, South Africa. (K)

Weaber, R. L. 2015. Addressing fertility using genetics and management. Aldam Stockman School. October 14-16, 2015. Aldam, South Africa. (K)

Weaber, R. L. 2015. Addressing fertility using genetics and management. Agricultural Research Council Special Seminar. October 12, 2015. Irene, South Africa. (K)

Weaber, R. L. 2016. Results of survey of stakeholders regarding knowledge of and attitudes toward feed intake, efficiency and genetic improvement concepts. Beef Improvement Federation Annual Meeting and Research Symposium. June 15, 2016. Manhattan, KS. (T)

Weaber, R. L. 2016. Revised feed intake data collection guidelines. Beef Improvement Federation Annual Meeting and Research Symposium. June 16, 2016. Manhattan, KS. (T)

Weaber, R. L. 2016. Cutting through the bull: beef sire selection tools. North American Piedmontese Association Annual Meeting. April 15, 2016. Broken Bow, NE (K)

Weaber, R. L. 2016. Utilization of heterosis in the beef value chain. National Cattlemen’s Beef Association Webinar. February 16, 2016. Online Webinar. (K)

Weaber, R. L. 2015. Understanding EPDs. American Shorthorn Association Impact Conference. December 4, 2015. Kansas City, MO. (K)

Weaber, R. L. 2015. Crossbreeding strategies, including terminal vs. maternal crossing. Range Beef Cow Symposium XXIV. November 17-19, 2015, Loveland, CO. (K)

Weaber, R. L. 2015. Breeding for the future. National Animal Interest Alliance. October 31, 2015. Orlando, FL. (K)

Weaber, R. L. 2015. Latest changes to national cattle evaluation systems. National Beef Cattle Evaluation Consortium Brown Bagger Webinar Series. October 7, 2015. (T)

Weaber, R. L. 2016. Selection for maternal versus paternal traits. K-State/UNL Bull Conference. February 18-19, 2016. Manhattan, KS and Clay Center Nebraska. (K)

Weaber, R. L. 2016. Selection for maternal versus paternal traits. 78th Annual K-State College of Veterinary Medicine Annual Conference. June 6, 2016. Manhattan, KS. (T)

Weaber, R. L. 2016. Cutting through the bull-applications of genomic selection tools in seedstock and commercial beef production. 78th Annual K-State College of Veterinary Medicine Annual Conference. June 6, 2016. Manhattan, KS. (T)

Weaber, R. L. 2016. Selection of heifers for improved feed efficiency. Florida Cattlemen’s Institute and Allied Industry Trade Show. January 14, 2016. Arcadia, FL. (K)

Weaber, R. L. 2015. Development of a national genetic evaluation system for feet and leg conformation in beef cattle. Montana Red Angus Association Commercial Symposium. December 3, 2015. Billings, MT. (K)

Weaber, R. L. 2015. Development of genomically enhanced EPD. Kansas Limousin Association Commercial Symposium. November 14, 2015. Manhattan, KS. (K)

NCERA225 2016 RefereedPublications:

Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJM, and Gianola D. 2016. Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens. Genetics Selection Evolution. 48:10.

Abell, CE, RL Fernando, TV Serenius, MF Rothschild, KA Gray, KJ Stalder. 2016. Genetic relationship between purebred and crossbred sow longevity.Journal of Animal Science and Biotechnology 7 (1), 51.

Ahlberg CM, Kuehn LA, Thallman RM, Kachman SD, Snelling WM, Spangler ML. 2016. Breed

effects and genetic parameter estimates for calving difficulty and birth weight

in a multibreed population. J Anim Sci. May;94(5):1857-64.

Andonov, S., D.A.L. Lourenco, B.O. Fragomeni, Y. Masuda, and I. Misztal. 2016. Accuracy of breeding values in small genotyped populations using different sources of external information — A simulation study. J. Dairy Sci. (Accepted).

Bailey, D.W., M.G. Thomas, T.N. Holt, M.B. Stephenson, R.M. Enns, and S.E. Speidel. 2016. Relationship of pulmonary arterial pressure and terrain use of Angus cows grazing high altitude foothills rangeland. Livestock Sci. 190:76-80.

Bradford, H.L., B.O. Fragomeni, D.A.L. Lourenco, and I. Misztal. 2016. Regional and seasonal analysis of weight in growing Angus cattle. J. Anim. Sci. 94:4369–4375.

Bradford, H.L., B.O. Fragomeni, D.A.L. Lourenco, and I. Misztal. 2016. Genetic evaluations for growth heat tolerance in Angus beef cattle. J. Anim. Sci. 94: 4143–4150.

Cassady, C. J., T. L. Felix, J. E. Beever, D.W. Shike, and National Program for Genetic Improvement of Feed Efficiency in Beef Cattle (including R. L. Weaber). 2016. Effects of timing and duration of test period and diet type on intake and feed efficiency of Charolais-sired cattle. J. Anim. Sci. (Accepted)

Cockrum, R.R., S.E. Speidel, J.L. Salak-Johnson, C.C.L. Chase, R.K. Peel, R.L. Weaber, G.H. Loneragan, J.J. Wagner, P. Boddhireddy, M.G. Thomas, K. Prayaga, S. Denise, and R.M. Enns. 2016. Genetic parameters estimated at receiving for circulating cortisol, immunoglobulin G, interleukin 8, and incidence of bovine respiratory disease in feedlot beef steers. J. Anim. Sci. 94:2770-2778.

Crawford, N.F., M.G. Thomas, T.N. Holt, S.E. Speidel, and R.M. Enns. 2016. Heritabilities and genetic correlations of mean pulmonary arterial pressure and performance traits in Angus cattle at high altitude. J. Anim. Sci. 94:doi:10.2527/jas.2016-0703; accepted August 18, 2016.

Fernando, RL, H Cheng, DJ Garrick. 2016. An efficient exact method to obtain GBLUP and single-step GBLUP when the genomic relationship matrix is singular.Genetics Selection Evolution 48 (1), 80

Fernando, RL, H Cheng, BL Golden, DJ Garrick. 2016. Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals

Genetics Selection Evolution 48 (1), 96

Fontoura, A. B. P., Y.R. Montanholi, M.D. de Amorim, R.A. Foster, T. Chenier and S.P. Miller.

2016. Associations between feed efficiency, sexual maturity and fertility-related measures in

young beef bulls. Animal 10(1):96-105.

Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, K. Gray, Y. Huang, and I. Misztal. 2016. Using single step genomic BLUP to enhance mitigation of seasonal losses due to heat stress in pigs. (Accepted).

Fragomeni, B.O., D.A.L. Lourenco, S. Tsuruta, S. Andonov, K. Gray, Y. Huang, and I. Misztal. 2016. Modeling response to heat stress in pigs from nucleus and commercial farms in different locations. J. Anim. Sci. 94.

Gulick, A., F.B. Garry, T.N. Holt, K. Retallick, R.M. Enns, M.G. Thomas, and J.M. Neary. 2016. Calves born and raised at high altitude adapt to hypobaric hypoxia by increasing alveolar ventilation rate but not hematocrit. J. Anim. Sci. 94:doi:10.2527/jas.2016-0718; accepted June 28, 2016.

Karaman, E., H Cheng, MZ Firat, DJ Garrick, RL Fernando. 2016. An upper bound for accuracy of prediction using GBLUP. PloS one 11 (8), e0161054.

Kramer, LM, MAA Ghaffar, JE Koltes, ER Fritz-Waters, MS Mayes. 2016. Epistatic interactions associated with fatty acid concentrations of beef from angus sired beef cattle. BMC genomics 17 (1), 891.

Keel B.N., Lindholm-Perry A.K., Snelling W.M..2016. Evolutionary and Functional Features

of Copy Number Variation in the Cattle Genome. Front Genet. Nov 22;7:207.

Keel B.N., Keele J.W., Snelling W.M.2016. Genome-wide copy number variation in the

bovine genome detected using low coverage sequence of popular beef breeds. Anim

Genet. Oct 24.

Keele J.W., Kuehn L.A., McDaneld T.G., Tait R.G., Jones S.A., Keel B.N., Snelling W.M. 2016.

Genomewide association study of liver abscess in beef cattle. J Anim Sci.

Feb;94(2):490-9.

Lean, Ian, M. Lucy, J. McNamara, B. Bradford, E. Block, J. Thomson, J. Morton, P. Celi, A. Rabiee, J. Santos, W. Thatcher, S. LeBlanch. 2016. Invited Review: Recommendations for reporting intervention studies on reproductive performance in dairy cattle: Improving design, analysis, and interpretation of research on reproduction. Journal of Dairy Science. 99:1-17.

Lourenco, D.A.L., S. Tsuruta, B.O. Fragomeni, C.Y. Chen, W.O. Herring, and I. Misztal. 2016. Crossbred evaluations in single-step genomic BLUP using adjusted realized relationship matrices. J. Anim. Sci. 94:909–919.

Lu, D., E.C. Akanno, J.J. Crowley, F. Schenkel, H. Li, M. De Pauw, S.S. Moore, Z. Wang, C.

Li., P. Stothard, G. Plastow, S.P. Miller and J.A. Basarab. 2016. Accuracy of genomic

predictions for feed efficiency traits in beef cattle using 50K and imputed HD genotypes. J.

Anim. Sci. 94(4):1342-1353.

Masuda, Y., I. Misztal, A. Legarra, S. Tsuruta, D.A.L. Lourenco, B.O. Fragomeni, and I. Aguilar. 2016. Fast computation of the inverse of the numerator relationship matrix for genotyped animals in single-step genomic BLUP solved with preconditioned conjugate gradient. J. Anim. Sci. (Accepted).

Masuda, Y., I. Misztal, S. Tsuruta, A. Legarra, I. Aguilar, D.A.L. Lourenco, B. Fragomeni, and T. Lawlor. 2016. Implementation of genomic recursions in single-step genomic BLUP for US Holsteins with a large number of genotyped animals. J. Dairy Sci. 99:1968–1974.

Misztal, I. 2016. Inexpensive computation of the inverse of the genomic relationship matrix in populations with small effective population size. Genetics 202:411-409.

Montanholi, Y.R., A. B. P. Fontoura, M.D. de Amorim, R.A. Foster, T. Chenier and S.P. Miller.

2016. Seminal plasma protein concentrations vary with feed efficiency and fertility-related

measures in young beef bulls. Reprod. Biol.

Morota G, Beissinger TM, and Penagaricano F. 2016. MeSH-informed enrichment analysis and MeSH-guided semantic similarity among functional terms and gene products in chicken. G3: Genes, Genomes, Genetics. 6:2447-2453.

Mu, Y., G. Vander Voort, M.K. Abo-Ismail, R. Ventura, J. Jamrozik and S.P. Miller. 2016.

Genetic correlations between female fertility and post-weaning growth and feed efficiency

traits in multi-breed beef cattle. Can. J. Anim. Sci.

Pocrnic, I., D.A.L. Lourenco, Y. Masuda, and I. Misztal. 2016. Dimensionality of genomic information and performance of algorithm for proven and young across livestock species. Genet. Sel. Evol. 48:82.

Pocrnic, I., D.A.L. Lourenco, I. Masuda, A. Legarra, I. Misztal. 2016. The Dimensionality of Genomic Information and Its Effect on Genomic Prediction. Genetics. 203:573–581.

Russell, J. R., E. L. Lundy, N. O. Minton, W. J. Sexten, M. S. Kerley, S. L. Hansen, and National Program for Genetic Improvement of Feed Efficiency in Beef Cattle (including R. L. Weaber). 2016. Influence of growing phase feed efficiency classification on finishing phase growth performance and carcass characteristics of beef steers fed different diet types. J. Anim. Sci. J. Anim. Sci. 94:2927-2936.

Silva, R.M.O., B.O. Fragomeni, D.A.L. Lourenco, F.B. Magalhaes, N. Irano, R. Carvalheiro, A.A. Boligon, M.E.Z. Mercadante, R.C. Canesin, F.S. Baldi, I. Misztal, and L.G. Albuquerque. 2016. Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nellore cattle population. J. Anim. Sci. 94:3613–3623.

Snelling WM, Bennett GL, Keele JW, Kuehn LA, McDaneld TG, Smith TP, Thallman

RM, Kalbfleisch TS, Pollak EJ. 2016. A survey of polymorphisms detected from sequences

of popular beef breeds. J Anim Sci. 2015 Nov;93(11):5128-43.

Speidel, S. E., R. K. Peel, D. H. Crews and R. M. Enns. 2016. Random regression models for the prediction of days to weight, ultrasound rib eye area and ultrasound backfat depth in beef cattle. J. Anim. Sci. 94:471-482.

Sun, X, R Fernando, J Dekkers. 2016. Contributions of linkage disequilibrium and co-segregation information to the accuracy of genomic prediction.Genetics Selection Evolution 48 (1), 77.

Torres-Vázquez, J.A., and M.L. Spangler. 2016. Genetic parameters for docility, weaning weight, yearling weight and intramuscular fat percentage in Hereford cattle. J. Anim. Sci. 94:21-27.

Vallejo, R.L., T.D. Leeds, B.O. Fragomeni, G. Gao, A.G. Hernandez, I. Misztal, T.J. Welch, G.D. Wiens, and Y. Palti. 2016. Evaluation of Genome-Enabled Selection for Bacterial Cold Water Disease Resistance Using Progeny Performance Data in Rainbow Trout: Insights on Genotyping Methods and Genomic Prediction Models. Front. Genet. 7:96.

Van der Heide, E.M.M., D.A.L. Lourenco, C.Y. Chen, W.O. Herring, R.L. Sapp, D.W. Moser, S. Tsuruta, Y. Masuda, B.J. Ducro, and I. Misztal. 2015. Sexual dimorphism in livestock species selected for economically important traits. J. Anim. Sci. 94.

Ventura, R.V., S. Larmer, F.S. Schenkel, S.P. Miller and P. Sullivan. 2016. Genomic

clustering helps to improve prediction in a multi-breed population. J. Anim. Sci.

Vitezica, Z., L. Varona, J. M. Elsen, I. Misztal, W. Herring, and A. Legarra. 2016. Genomic BLUP including additive and dominant variation in purebreds and F1 crossbreds, with an application in pigs. Genetics Selection Evolution. 48:6.

Weng, Z, A Wolc, X Shen, RL Fernando, JCM Dekkers, J Arango, P Settar. 2016. Effects of number of training generations on genomic prediction for various traits in a layer chicken population.Genetics Selection Evolution 48 (1), 1

White, K.L., J.M. Bormann, K.C. Olson, J.R. Jaeger, S. Johnson, B. Downey, D.M. Greiger, J.W.Waggoner, D.W. Moser, and R.L. Weaber. 2016. Phenotypic relationships between

docility and reproduction in Angus heifers. J. Anim. Sci. 94:483-489.

Wolc, A, J Arango, P Settar, JE Fulton, NP O’Sullivan, JCM Dekkers. 2016. Mixture models detect large effect QTL better than GBLUP and result in more accurate and persistent predictions.Journal of animal science and biotechnology 7 (1), 1

Zhang, X., D.A.L. Lourenco, I. Aguilar, A. Legarra, and I. Misztal. 2016. Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. Front. Genet. 7:151.

NCERA225 2016 Refereed Abstracts or Proceedings:

Bailey, D.W., M. Millward, D. Stricklan, M.G. Thomas, S. Speidel, M. Enns, J. Medrano, and L.D. Howery. 2016. Development of indicies to select beef cattle for terrain use. Proc. Soc. Range. Mgt. 69th Mtg. p. 81, Corpus Christi, TX.

Bailey, D.W., M.F. Millward, M.G. Thomas, S.E. Speidel, R.M. Enns, J.F. Medrano, L.D. Howery. 2016. Improvements of cattle grazing distribution through genetic selection: challenges and opportunities. Proc. 10th Int. Rangeland Congr. Saskatoon, SK, CA, July 16-22. pp. 182-183.

Boldt, R. J., S. E. Speidel, M. G. Thomas, L. Keenan and R. M. Enns. 2016. Genetic parameters for production traits and heifer pregnancy in Red Angus cattle. J. Anim. Sci. 94(E. Suppl. 5):E183.

Canovas, A., R. Cockrum, D. Brown, S. Riddle, J. M. Neary, R.N. Holt, J.F. Medrano, A. Islas-Trejo, R. M. Enns, S. E. Speidel, K. Cammack, K. R. Stenmark and M. G. Thomas. 2016. P3050 Functional genomics of high altitude disease in Angus Cattle: Leveraging OMICS and systems biology to better understanding of the function and role of key contributing genes. J. Anim. Sci. 94:(Suppl. 4):78.

Canovas, A., R.R. Cockrum, R.D. Brown, S.K. Riddle, J.M. Neary, T. Holt, G.M. Krafsur, J.F. Medrano, A. Islas-Trejo, M. Enns, S. Speidel, K. Cammack, K.R. Stenmark, and M.G. Thomas. 2016. Polymorphims and splice variants in a polygenic disease induced by high altitude in fattening Angus steers using RNA-Seq and systems biology. Plant and Animal Genome XXIV. Abstract PO108.

Canovas, A. R. Cockrum, D. Brown, S. Riddle, J. M. Neary, T. N. Holt, J. F. Medrano, A. Islas-Trejo, R. M. Enns, S. E. Speidel, K. Cammack, K. R. Stenmark and M. G. Thomas. 2016. Functional SNP in a polygenic disease induced by high-altitude in fattening Angus steers using systems biology approach. J. Anim. Sci. 94(E. Suppl. 5):E121.

Cantrell, B. A., S. D. McKay, R. L. Weaber, R. N. Funston, and H. Lachance. 2016. Novel analysis of global DNA methylation in the limbic system of the bovine brain. J. Anim. Sci. Vol. 94. E-Suppl. 4, p. 43. (Abstr.).