Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates the statistical foundations of animal breeding. This text will prove useful as a reference source to animal breeders, quantitative geneticists and statisticians working in these areas. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years.
This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular ...
Lindsey, J. K. 1993. ... Littell, R. C., J. Pendergast, and R. Natarajan. 2000. ... Mead, R. 1988. The Design of Experiments. New York: Cambridge University Press. Mendenhall, W., D. D. Wackerly, and R. L. Scheaffer. 1990.
Klein, J.T., Misra, S. and Lotrecchiano, G. (2020) Introduction: communication in inter- and trans- disciplinary teams. In: Lotrecchiano, G. and Misra, S. (eds) Communication in Transdisciplinary Teams. Informing Science Press, Santa ...
A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
L. Y. Low (1964), Sampling variances of estimates of components of variance from a non-orthogonal two-way classification, Biometrika, 51, 491–494. G. A. Milliken and D. E. Johnson (1992), Analysis of Messy Data, Vol.
Smith, C.A., Clifford, V., Western, P.S., Wilcox, S.A., Bell, K.S. and Sinclair, A.H. (2000) Cloning and expression of a DAX1 homologue in the chicken embryo. Journal of Molecular Endocrinology 24, 23–32. Smith, E., Shi, L., Rodriguez, ...
... Statistical Methods Applied to Experiments in Agriculture and Biology, published in 1937. See D. Gianola et al., eds., Advances in Statistical Methods for Genetic Improvement of Livestock (Berlin: Springer-Verlag, 1990), 4. 35 L.N. Hazel, “ ...
Introduction 2. 3.9. Bayes and Empirical Bayes 3.10. Computer-Intensive Biometrical Methods 3.11. Biological Sequence Analysis 2.1. Background 2.2. Scoring Systems 2.3. Sequence Alignment 2.4. Assessment of Significance 2.4.1.
Sándor Kukovics. References [1] Lasley JF. Genetics of Livestock Improvement. New Delhi: Prentice hall of India Pvt ... Statistical Techniques in Quantitative Genetics. Delhi: Tata McGraw-Hill; 1982 [19] Henderson CR. Application of Linear ...