Genetic Analysis of Complex Traits in Alfalfa (Medicago Sativa L.) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Analysis of Complex Traits in Alfalfa (Medicago Sativa L.) write by Joseph Gary Robins. This book was released on 2004. Genetic Analysis of Complex Traits in Alfalfa (Medicago Sativa L.) available in PDF, EPUB and Kindle. The genetic structure of complex agronomic traits in alfalfa (Medicago sativa) is not well understood. By crossing the subspecies M. sativa subsp. falcata and M. sativa subsp. sativa, a fullsib F1 population was created from which a genetic linkage map of each parental genome was developed using RFLP and SSR markers. These maps include simplex, duplex, and simplex-simplex alleles along with a number of alleles exhibiting segregation distortion. The inclusion of these more complicated segregation ratios resulted in greater saturation of the genome, a better convergence to eight consensus linkage groups, and a more realistic view of regions of the genome that may not behave normally due to segregation distortion than would have been possible by only using simplex alleles as has been done previously. The population was clonally propagated and grown at three field locations with phenotypic data collected over three years for various agronomic traits, including biomass production, forage height, and forage regrowth. Combining the marker data with the phenotypic data, markers were identified from each parental genome that were associated with these traits, suggesting that both major germplasm sources of cultivated alfalfa contain alleles that may contribute to improved alfalfa cultivars. These results provide a much better understanding of the genomic regions underlying these traits and are an important start in efforts aimed at the use of marker-assisted selection for the improvement of alfalfa cultivars.
Insights Into the Genome of Alfalfa, Medicago Sativa L.
Insights Into the Genome of Alfalfa, Medicago Sativa L. - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Insights Into the Genome of Alfalfa, Medicago Sativa L. write by Ian M. Ray. This book was released on 1989. Insights Into the Genome of Alfalfa, Medicago Sativa L. available in PDF, EPUB and Kindle.
A Genetic Study of the Multifoliolate Characteristic in Alfalfa (Medicago Sativa L.).
A Genetic Study of the Multifoliolate Characteristic in Alfalfa (Medicago Sativa L.). - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Genetic Study of the Multifoliolate Characteristic in Alfalfa (Medicago Sativa L.). write by Mark Anthony Brick. This book was released on 1975. A Genetic Study of the Multifoliolate Characteristic in Alfalfa (Medicago Sativa L.). available in PDF, EPUB and Kindle.
The Alfalfa Genome
The Alfalfa Genome - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Alfalfa Genome write by Long-Xi Yu. This book was released on 2021-07-17. The Alfalfa Genome available in PDF, EPUB and Kindle. This book is the first comprehensive compilation of deliberations on whole genome sequencing of the diploid and tetraploid alfalfa genomes including sequence assembly, gene annotation, and comparative genomics with the model legume genome, functional genomics, and genomics of important agronomic characters. Other chapters describe the genetic diversity and germplasm collections of alfalfa, as well as development of genetic markers and genome-wide association and genomic selection for economical important traits, genome editing, genomics, and breeding targets to address current and future needs. Altogether, the book contains about 300 pages over 16 chapters authored by globally reputed experts on the relevant field in this crop. This book is useful to the students, teachers, and scientists in the academia and relevant private companies interested in genetics, breeding, pathology, physiology, molecular genetics and breeding, biotechnology, and structural and functional genomics. The work is also useful to seed and forage industries.
Genetic Data Analysis for Plant and Animal Breeding
Genetic Data Analysis for Plant and Animal Breeding - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Genetic Data Analysis for Plant and Animal Breeding write by Fikret Isik. This book was released on 2017-09-09. Genetic Data Analysis for Plant and Animal Breeding available in PDF, EPUB and Kindle. This book fills the gap between textbooks of quantitative genetic theory, and software manuals that provide details on analytical methods but little context or perspective on which methods may be most appropriate for a particular application. Accordingly this book is composed of two sections. The first section (Chapters 1 to 8) covers topics of classical phenotypic data analysis for prediction of breeding values in animal and plant breeding programs. In the second section (Chapters 9 to 13) we provide the concept and overall review of available tools for using DNA markers for predictions of genetic merits in breeding populations. With advances in DNA sequencing technologies, genomic data, especially single nucleotide polymorphism (SNP) markers, have become available for animal and plant breeding programs in recent years. Analysis of DNA markers for prediction of genetic merit is a relatively new and active research area. The algorithms and software to implement these algorithms are changing rapidly. This section represents state-of-the-art knowledge on the tools and technologies available for genetic analysis of plants and animals. However, readers should be aware that the methods or statistical packages covered here may not be available or they might be out of date in a few years. Ultimately the book is intended for professional breeders interested in utilizing these tools and approaches in their breeding programs. Lastly, we anticipate the usage of this volume for advanced level graduate courses in agricultural and breeding courses.
