Download or read book The Effect of Parameter Estimation Errors on the Efficiency of Index Selection and the Accuracy of Genetic Gain Prediction written by Ivan Ling Mao and published by . This book was released on 1971 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Canadian Journal of Genetics and Cytology written by and published by . This book was released on 1979 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Journal of agricultural research in Iceland written by and published by . This book was released on 1977 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Selection Indices and Prediction of Genetic Merit in Animal Breeding written by N. D. Cameron and published by Cabi. This book was released on 1997 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction of variance; Anova in quanatiatitve genetics framework; Regression and correlation; Indentification of animals of high genetic merit; Information from relatives; Selection index methodology; Examples of selection objectives and criteria; Factrors affecting the rate of genetic improvement; Performance testing progeny testing and MOET; Simultaneous prediction of breeding values and environmental effects; Multivariate breeding values prediction; Breeding values with a gene of known large effect; Breeding values for binary traits.
Download or read book 1st World Congress on Genetics Applied to Livestock Production Plenary sessions written by and published by . This book was released on 1974 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Index Selection as Influenced by Errors of Parameter Estimation written by Dewey L. Harris and published by . This book was released on 1961 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Annual Report of the New York State College of Agriculture at Cornell University and the Agricultural Experiment Station written by New York State College of Agriculture and published by . This book was released on 1969 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Annual Report of the New York State College of Agriculture and Life Sciences at Cornell University the Cornell University Agricultural Experiment Station written by New York State College of Agriculture and Life Sciences and published by . This book was released on 1971 with total page 1172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Selection Indices in Modern Plant Breeding written by J. Jesus Céron-Rojas and published by Springer. This book was released on 2018-09-26 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders.
Download or read book Annual Report of the New York State College of Agriculture and Life Sciences at Cornell University the Cornell University Agricultural Experiment Station written by New York State College of Agriculture and published by . This book was released on 1969 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genomic Selection Lessons Learned and Perspectives written by Johannes W. R. Martini and published by Frontiers Media SA. This book was released on 2022-09-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic selection (GS) has been the most prominent topic in breeding science in the last two decades. The continued interest is promoted by its huge potential impact on the efficiency of breeding. Predicting a breeding value based on molecular markers and phenotypic values of relatives may be used to manipulate three parameters of the breeder's equation. First, the accuracy of the selection may be improved by predicting the genetic value more reliably when considering the records of relatives and the realized genomic relationship. Secondly, genotyping and predicting may be more cost effective than comprehensive phenotyping. Resources can instead be allocated to increasing population sizes and selection intensity. The third, probably most important factor, is time. As shown in dairy cattle breeding, reducing cycle time by crossing selection candidates earlier may have the strongest impact on selection gain. Many different prediction models have been used, and different ways of using predicted values in a breeding program have been explored. We would like to address the questions: i. How did GS change breeding schemes of different crops in the last 20 years? ii. What was the impact on realized selection gain? iii. What would be the best structure of a crop-specific breeding scheme to exploit the full potential of GS? iv. What is the potential of hybrid prediction, epistasis effect models, deep learning methods and other extensions of the standard prediction of additive effects? v. What are the long-term effects of GS? vi. Can predictive breeding approaches also be used to harness genetic resources from germplasm banks in a more efficient way to adapt current germplasm to new environmental challenges? This Research Topic welcomes submissions of Original Research papers, Opinions, Perspectives, Reviews, and Mini-Reviews related to these themes: 1. Genomic selection: statistical methodology 2. The (optimal) use of GS in breeding schemes 3. Practical experiences with GS (selection gain, long-term effects, negative side effects) 4. Predictive approaches to harness genetic resources Concerning point 1): If an original research paper compares different methods empirically without theoretical considerations on when one or the other method should be better, the methods should be compared with at least five different data sets. The data sets should differ either in crop, genotyping method or its source, for instance from a breeding program or gene bank accessions. Concerning point 2): Manuscripts addressing the use of GS in breeding schemes should illustrate breeding schemes that are run in practice. General ideas about schemes that may be run in the future may be considered as 'Perspective' articles. Conflict of Interest statements: - Topic Editor Valentin Wimmer is affiliated to KWS SAAT SE & Co. KGaA, Germany. - Topic Editor Brian Gardunia is affiliated to Bayer Crop Sciences and has a collaboration with AbacusBio, and is an author on patents with Bayer Crop Sciences. The other Topic Editors did not disclose any conflicts of interest. Image credit: CIMMYT, reproduced under the CC BY-NC-SA 2.0 license
Download or read book Topics Relating to the Variance and Covariance Components Needed to Evaluate Animals Genetically written by William Donald Slanger and published by . This book was released on 1975 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Breeding Values with Applications in Forest Tree Improvement written by T.L. White and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: In most breeding programs of plant and animal species, genetic data (such as data from field progeny tests) are used to rank parents and help choose candidates for selection. In general, all selection processes first rank the candidates using some function of the observed data and then choose as the selected portion those candidates with the largest (or smallest) values of that function. To make maximum progress from selection, it is necessary to use a function of the data that results in the candidates being ranked as closely as possible to the true (but always unknown) ranking. Very often the observed data on various candidates are messy and unbalanced and this complicates the process of developing precise and accurate rankings. For example, for any given candidate, there may be data on that candidate and its siblings growing in several field tests of different ages. Also, there may be performance data on siblings, ancestors or other relatives from greenhouse, laboratory or other field tests. In addition, data on different candidates may differ drastically in terms of quality and quantity available and may come from varied relatives. Genetic improvement programs which make most effective use of these varied, messy, unbalanced and ancestral data will maximize progress from all stages of selection. In this regard, there are two analytical techniques, best linear prediction (BLP) and best linear unbiased prediction (BLUP), which are quite well-suited to predicting genetic values from a wide variety of sources, ages, qualities and quantities of data.
Download or read book Selecting for Lactation Curve Shape and Milk Yield in Dairy Cattle written by Theodore Allen Ferris and published by . This book was released on 1981 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Mathematical Theory of Quantitative Genetics written by Michael George Bulmer and published by Clarendon Press. This book was released on 1985 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes discussion of the underlying principles of the theory of quantitative genetics which provides the bridge between the observable statistical properties of a character and the gentic factors, which together with environmental factors, determine the expression of the character. "An essential reference for anyone concerned with quantitative genetics. . . . Provides the only review available of the parts of quantitative genetics relevant to evolutionary theory."--Science
Download or read book Host Bibliographic Record for Boundwith Item Barcode 30112117975315 and Others written by and published by . This book was released on 2013 with total page 1534 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Australian Journal of Agricultural Research written by and published by . This book was released on 1986 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt:
