Linear Selection Indices in Modern Plant Breeding
This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic con...
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| Tác giả khác: | |
| Định dạng: | Điện tử Chương của sách |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cham
Springer Nature
2018
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| Những chủ đề: | |
| Truy cập trực tuyến: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Các nhãn: |
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| Tóm tắt: | This open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders. |
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| Mô tả vật lý: | 1 electronic resource (256 p.) |
| số ISBN: | 978-3-319-91223-3 |
| Truy cập: | Open Access |