This book provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies.
Association Mapping in Plants
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Editorial Reviews
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From the reviews:
"Association mapping in plants is a timely, well-planned book that covers most topics related to association mapping in plants … as well as giving insights into the potential impact of association mapping in plant breeding programmes. … can be used both as an introductory book for students and as a manual to design experiments and analyse genetic association date by experienced researchers or breeding program managers. … In conclusion, we recommend Association mapping in plants as an excellent book to researchers and professionals … ." (Santiago C. González-Martínez and Delphine Grivet, Annals of Botany, Vol. 104 (6), November, 2009)
From the Back Cover
For the past decade, there has been success in using conventional map-based strategies in identification and cloning of quantitative trait loci (QTL) in model plant species including tomato and Arabidopsis. These quantitative traits are generally the products of many loci with varying degrees of effect upon the observed phenotypes. Recently, a new approach to genetic mapping has emerged called association mapping. This new technique takes into account the thousands of genes to evaluate for QTL effect and is a more efficient approach that does not require generation of segregating populations/large numbers of progeny. As it can utilize all of the historic recombination events in a diverse population of individuals it can generate higher resolution genetic maps and, is needed to complement current map based cloning methods.
Association Mapping in Plants provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies.
This book will appeal to all those with an interest in plant genetics, plant breeding, and plant genomics.
About the Editors:
Dr. Nnadozie C. Oraguzie is a Senior Scientist in Genetics at the Horticulture and Food Research Institute of New Zealand Ltd (HortResearch).
Dr. Erik H. A. Rikkerink is a Science Leader at HortResearch, New Zealand.
Dr. Susan E. Gardiner is a Principal Scientist and leader of the Gene Mapping research team at HortResearch, New Zealand.
Dr. H. Nihal De Silva is a Senior Scientist of Biometrics at HortResearch, New Zealand.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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association mapping strategies, low prior odds, association mapping studies, association genetics studies, additive relationship matrix, pall locus, phenotypic records, tree breeding programs, haplotype effects, selling species, unstructured populations, quantitative trait variation, microfibril angle, outbreeding species, testing scientific hypotheses, population association studies, clonal forestry, polymorphism discovery, nucleotide diversity, paralogous sequences, unconditional estimates, haplotype structure, polygenic effects, forest tree species, marker allele frequencies Key Phrases - Capitalized Phrases (CAPs): (learn more)
New Zealand, Genome Research, Plant Science, San Diego, Monte Carlo, Nat Genet, Trends Genet, Hum Genet, Nature Genetics, Nucleic Acids Research, Plant Journal, Plant Molecular Biology, Private Bag, The Netherlands, Crop Science, Molecular Ecology, New Phytologist, Canadian Journal of Forest Research, New York, Primary Industries Research Victoria, Wageningen Academic Publishers, Little Chalfont, Palmerston North, Proc Natl Acad Sci, Savage-Dickey Bayes New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
association mapping strategies, low prior odds, association mapping studies, association genetics studies, additive relationship matrix, pall locus, phenotypic records, tree breeding programs, haplotype effects, selling species, unstructured populations, quantitative trait variation, microfibril angle, outbreeding species, testing scientific hypotheses, population association studies, clonal forestry, polymorphism discovery, nucleotide diversity, paralogous sequences, unconditional estimates, haplotype structure, polygenic effects, forest tree species, marker allele frequencies Key Phrases - Capitalized Phrases (CAPs): (learn more)
New Zealand, Genome Research, Plant Science, San Diego, Monte Carlo, Nat Genet, Trends Genet, Hum Genet, Nature Genetics, Nucleic Acids Research, Plant Journal, Plant Molecular Biology, Private Bag, The Netherlands, Crop Science, Molecular Ecology, New Phytologist, Canadian Journal of Forest Research, New York, Primary Industries Research Victoria, Wageningen Academic Publishers, Little Chalfont, Palmerston North, Proc Natl Acad Sci, Savage-Dickey Bayes New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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