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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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31#
發(fā)表于 2025-3-27 00:16:38 | 只看該作者
32#
發(fā)表于 2025-3-27 05:03:17 | 只看該作者
33#
發(fā)表于 2025-3-27 08:28:55 | 只看該作者
978-3-319-87489-0Springer International Publishing AG 2017
34#
發(fā)表于 2025-3-27 10:38:36 | 只看該作者
https://doi.org/10.1007/978-3-319-63170-7Crop improvement; Genomic Selection; Marker genotyping; Phenotyping evaluation; Statistical models; Syste
35#
發(fā)表于 2025-3-27 13:59:46 | 只看該作者
36#
發(fā)表于 2025-3-27 21:32:44 | 只看該作者
https://doi.org/10.1007/978-981-99-5624-1rmation 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
37#
發(fā)表于 2025-3-27 23:35:26 | 只看該作者
Current Topics in Veterinary Medicinecess used to identify valuable individuals for generating descendants in the breeding process. To obtain the estimated values of a trait, a prediction model that describes the relationship between the explanatory factors observed in the samples and the trait values is derived using a dataset consist
38#
發(fā)表于 2025-3-28 03:22:06 | 只看該作者
39#
發(fā)表于 2025-3-28 07:36:57 | 只看該作者
https://doi.org/10.1007/978-1-4939-2575-9where 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
40#
發(fā)表于 2025-3-28 11:57:11 | 只看該作者
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