Titlebook: Genomic Selection for Crop Improvement; New Molecular Breedi Rajeev K. Varshney,Manish Roorkiwal,Mark E. Sorrel Book 2017 Springer Internat

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fforts initiated to deploy the genomic selection in some important crops. In order to understand the potential of GS breeding, it is high time to bring complete information in the form of a book that can serve as a ready reference for geneticist and plant breeders..978-3-319-87489-0978-3-319-63170-7

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https://doi.org/10.1007/978-1-4615-9656-1illustrate the proposed models using simulation and a real data set. Results indicate that our models for ordinal categorical and count data are a good alternative for analyzing ordinal and count data in the context of genomic-enabled prediction.

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Book 2017ortant crops. In order to understand the potential of GS breeding, it is high time to bring complete information in the form of a book that can serve as a ready reference for geneticist and plant breeders..

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Current Topics in Veterinary Medicinesed in the derivation process is the key element for GS. Assuming a typical dataset for GS, construction of a prediction model using a linear model and determination of the model parameters using the Bayesian estimation with Gibbs sampling are explained. In addition, a sample output from the implemented software is presented.

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mportant crops.Serves as a handbook, providing basic as well.Genomic Selection for Crop Improvement. serves as handbook for users by providing basic as well as advanced understandings of genomic selection. This useful review  explains germplasm use, phenotyping evaluation, marker genotyping methods,

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