Selection index and expected genetic advance
WebOct 1, 1994 · This was the challenge Hazel accepted for his thesis project. HAZEL’S DEVELOPMENT OF MULTIPLE-TRAIT INDEX SELECTION “As it turned out, most of the important principles and concepts required to maximize expected genetic improvement were already being taught in courses of animal breeding, statistics, and genetics. WebJan 1, 2024 · Expected genetic gain is a prediction of the actual change in phenotype that would occur due to the genetic changes brought about by a proposed selection or a …
Selection index and expected genetic advance
Did you know?
WebOct 8, 2004 · Estimated correlation coefficients between genotypic worth and each of the indices, and expected genetic advance in each trait with 10% selection intensity ( k =1.76) according to base index method a Each index has been calculated based on the economic weights presented in Table 1 and base index method as described by Brim et al. (1959). b WebHenderson, C.R. (1963) Selection Index and Expected Genetic Advance. In Statistical Genetics and Plant Breeding, National Academy of Sciences, No. 982, National Research …
WebAug 18, 2015 · A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and …
WebA unified theory, which takes into account both the genetic and experimental conditions, for predicting double cross hybrids from single cross hybrids is developed. The method is analogous to that for selection indices. Relationship of the prediction model to the genetic model is explored. WebSelection index, Discriminant function, Expected genetic advance in yield and Relative efficiency from the use of different Selection indices in mung bean in summer season. …
WebSelection Index Multivariate Normal Distribution Variance Component Estimation These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. Download chapter PDF … Advances in Statistical Methods for Genetic Improvement of Livestock Editors: Daniel …
WebSelection indices for grain yield and other characters were constructed and examined to identify their relative efficiency in the selection of superior genotypes. The results on selection indices, discriminant function, expected genetic gain and relative efficiency are presented in Table 1. personal service of legal documentsWebNov 1, 2002 · After the basics of selection index theory were developed ( Hazel 1943 ), further developments have aimed at, for example, the effect of selection on genetic … personal service insurance company claims njWebJun 6, 2016 · Most traits of agronomic importance are quantitative in nature, and genetic markers have been used for decades to dissect such traits. Recently, genomic selection has earned attention as next generation sequencing technologies became feasible for major and minor crops. Mixed models have become a key tool for fitting genomic selection models, … stand on someone\u0027s shoulders meaningWebSep 2, 2010 · Selection index and expected genetic advance. In Statistical Genetics and Plant Breeding (ed. Hanson, W. D. and Robinson, H. F. ), pp. 141 – 163. Publ. 982. National … personal service of documentsWebQuinoa is an ancestral crop in the Andean region, characterized by its adaptability to different agroclimatic conditions, great nutritional value, and broad genetic variability. A preliminary approach for understanding the genetics of quinoa materials entails a morphologic characterization, which can provide the basis for the selection of materials … stand on shoulders of giantsWebnomic value is expected from selection applied simultaneously to all the characters which deter- ... GAY Genetic Advance/Genetic Gain of base selection index Value Data frame of possible selection indices with per cent relative efficiency and ranking Examples gmat<- gen.varcov(seldata[,3:9], seldata[,2], seldata[,1]) ... personal service in ohioWebSelection based on the index using kernel rows and kernel weight was almost as efficient as selection for yield itself. However, when the expected genetic advance was computed for one location, this index was 8.3% more efficient. Selection based on any of the components considered alone was much less efficient than that based on yield itself. stand on same page