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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 18 August 2022
- ISBN 9781032103501
- Binding Hardback
- No. of pages232 pages
- Size 234x156 mm
- Weight 512 g
- Language English
- Illustrations 2 Illustrations, black & white; 7 Illustrations, color; 2 Line drawings, black & white; 7 Line drawings, color; 7 Tables, black & white 430
Categories
Short description:
Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops.
MoreLong description:
Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. The potential of this tool has not been realized due to its limited adaptation in various crops. Marker Assisted Selection (MAS) has been the method of choice for plant breeders while using the genomic information in the breeding pipeline. MAS, however, fails to capture vital minor gene effects while focusing only on the major genes, which is not ideal for breeding advancement especially for quantitative traits such as yield. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and their applications is one of the reasons why breeders shy away from this tool. The book is meant for biologists, especially breeders, and provides a comprehensive idea of the statistical methodologies used in GS, guidance on the choice of models, and design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops among oilseeds, vegetables, legumes, tuber crops, and cereals. For ease of implementation of GS, the book also provides hands-on scripts on GS data design and modeling in a popular open-source statistical program. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed.
MoreTable of Contents:
1. Genomic Selection Models for Plant Breeding Schemes: The Power of Choice 2. Hands on Training Optimization in Genomic Selection 3. Genomic Selection in Wheat: Progress, Opportunities, and Challenges 4. Genomic Selection in Rice: Current Status and Future Prospects 5. Genomic Selection in Groundnut, Chickpea, and Pearl Millet: Applications and Prospects 6. Genomic Selection in Solanaceae: Status, Opportunities, and Future Prospects 7. Genomic Selection in Oilseed Brassica: Potential, Prospects, and Challenges 8. Current Status of Genomic Selection in Oilseed Crops 9. Harnessing the Potential of Genomic Selection in Potato 10. Genomic Selection Schemes for Long-term Gain
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