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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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發(fā)表于 2025-3-21 18:27:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Genomic Selection for Crop Improvement
副標(biāo)題New Molecular Breedi
編輯Rajeev K. Varshney,Manish Roorkiwal,Mark E. Sorrel
視頻videohttp://file.papertrans.cn/383/382903/382903.mp4
概述Includes examples of ongoing activities in genomic selection for crop improvement and efforts initiated to deploy the genomic selection in important crops.Serves as a handbook, providing basic as well
圖書封面Titlebook: Genomic Selection for Crop Improvement; New Molecular Breedi Rajeev K. Varshney,Manish Roorkiwal,Mark E. Sorrel Book 2017 Springer Internat
描述.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, 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 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..
出版日期Book 2017
關(guān)鍵詞Crop improvement; Genomic Selection; Marker genotyping; Phenotyping evaluation; Statistical models; Syste
版次1
doihttps://doi.org/10.1007/978-3-319-63170-7
isbn_softcover978-3-319-87489-0
isbn_ebook978-3-319-63170-7
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-21 22:55:49 | 只看該作者
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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發(fā)表于 2025-3-22 12:35:15 | 只看該作者
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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發(fā)表于 2025-3-22 17:22:18 | 只看該作者
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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發(fā)表于 2025-3-22 21:29:19 | 只看該作者
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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發(fā)表于 2025-3-23 05:20:15 | 只看該作者
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
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發(fā)表于 2025-3-23 09:22:07 | 只看該作者
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
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