Additional information
by Ani A. Elias (Editor), Shailendra Goel (Editor)
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.
Author Biography
Ani A. Elias is a recipient of the prestigious Ramalingaswami fellowship and is presently working at the Institute of Forest Genetics and Tree Breeding, India. She received her Ph.D. from Purdue University, USA with a specialization in statistical genetics and gained postdoctoral experience in genomic selection (GS) from Cornell University, USA. She has worked on GS and other genomic prediction models in maize, sorghum, cassava, and safflower both in the private and public sectors.
Shailendra Goel is a professor at the Department of Botany, University of Delhi from where he received his Ph.D. He is involved in genetics and genomics studies of complex and important traits in various crops. He has developed a comprehensive breeding program on safflower, a promising native oil seed crop from India. He has a prolific research career with publications in major journals, and editorial services to publishers such as Oxford, Springer, and Elsevier.
