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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书目名称Genomic Selection for Crop Improvement影响因子(影响力)学科排名




书目名称Genomic Selection for Crop Improvement网络公开度




书目名称Genomic Selection for Crop Improvement网络公开度学科排名




书目名称Genomic Selection for Crop Improvement被引频次




书目名称Genomic Selection for Crop Improvement被引频次学科排名




书目名称Genomic Selection for Crop Improvement年度引用




书目名称Genomic Selection for Crop Improvement年度引用学科排名




书目名称Genomic Selection for Crop Improvement读者反馈




书目名称Genomic Selection for Crop Improvement读者反馈学科排名

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Training Population Design and Resource Allocation for Genomic Selection in Plant Breeding,rmation for selection to an indirect source of information through the training of genomic prediction models. While some features of phenotyping and field trials in plant breeding programs such as measurement of relevant phenotypes in relevant environments will remain the same, some features of plan

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Bayesian Genomic-Enabled Prediction Models for Ordinal and Count Data,or both models we provide details of their corresponding derivation and then apply them to a real data set. The proposed models were derived using a Bayesian framework. Bayesian logistic ordinal regression (BLOR) and Bayesian negative binomial regression (BNBR) make use of the Pólya-Gamma distributi

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Genomic Selection for Small Grain Improvement,where there is a growing body of information. We also provide the reader with approaches to implementation of GS in applied breeding programs and how various scenarios affect gain from selection and cost relative to conventional breeding. Training population optimization is discussed as well as the

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Genomic Selection in Hybrid Breeding,bining ability and heterotic groups are presented as a special feature of hybrid breeding, giving special attention to the breeding method of recurrent reciprocal selection. Subsequently, the cross-validated predictability is introduced as an evaluation criterion for the performance of GS and the re

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Opportunities and Challenges to Implementing Genomic Selection in Clonally Propagated Crops,esirable deleterious effects, allows easy identification, propagation of favorable mutations, and is an efficient method for in vitro and ex vitro maintenance and conservation. However, these same characteristics pose challenges to genetic improvement. Many clonal fruits and forest trees have a long

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Status and Perspectives of Genomic Selection in Forest Tree Breeding,pendent on the time needed to complete a breeding generation. Additionally, the uncertainties associated with conducting decade-long breeding programs can be high. The convergence of genomics and quantitative genetics has now established the paradigm of genomic selection as a way to accelerate breed

Juvenile

Book 2017 useful review  explains germplasm use, phenotyping evaluation, marker genotyping methods, and statistical models involved in genomic selection. It also includes examples of ongoing activities of genomic selection for crop improvement and efforts initiated to deploy the genomic selection in some imp