Epistasis, when present, causes bias in the estimation of important genetic parameters resulting in erroneous estimates of expected gain under selection. This hampers the efficiency of breeding programmes aimed at exploitation of various components of genetic variance such as additive and dominance. The effect of epistasis on genetic variance components is all the more important in view of the fact that none of the mating designs developed so far ensures that epistasis if present does not influence the estimates of genetic components.
A number of studies in maize have established the fact that epistasis has a significant role in trait expression but, as of now, all the genetic models to test and estimate it precisely are elusive. Recent studies with molecular markers have clearly revealed that epistasis has a significant role in inheritance of quantitative traits as well as plant growth and development. It would thus be logical to search for epistasis and optimize its use in the development of promising cultivars for target environments rather than attributing it to left over variance after additive and dominance effects are accounted for.
Gene-to-phenotype models and complex trait genetics
Close Find out more. Log out Manage access. Log out. Search CAB eBooks. Enter keyword or phrase. Search within topic Limit to selected topics. CAB eBooks smart searches are based on commonly researched topics, and your own requests Request a search. Description Although based on an international symposium held in Baton Rouge in , the papers presented have been augmented and several chapters have been specially commissioned for this book. Twenty-four chapters are presented covering topics such as quantitative trait loci mapping, genomics, bioinformatics and marker-assisted selection, tissue culture and alien introgression for crop improvement, and adv More about this book.
Available In Print. Other chapters from this book Chapter: 1 Page no: 1 Vignettes of the history of genetics. Chapter: 2 Page no: 23 Quantitative genetics, genomics and the future of plant breeding.
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Author s : Walsh, B. Chapter: 3 Page no: 33 Why quantitative geneticists should care about bioinformatics. Author s : Tinker, N. Chapter: 4 Page no: 45 QTL analysis: problems and possible solutions. Author s : Kearsey, M. Chapter: 5 Page no: 59 Association mapping in plant populations.
Author s : Jannink, J. Walsh, B. Chapter: 6 Page no: 69 Integrating molecular techniques into quantitative genetics and plant breeding.
Author s : Dudley, J. Chapter: 7 Page no: 85 Use of molecular markers in plant breeding: drought tolerance improvement in tropical maize. Author s : Ribaut, J. Betran, J. Jiang, C. Edmeades, G.
Dreher, K. Hoisington, D.
Author s : Xu, Y. Chapter: 10 Page no: Marker-assisted back-cross breeding: a case-study in genotype-building theory.
Quantitative Genetics, Genomics, and Plant Breeding | NHBS Academic & Professional Books
Author s : Hospital, F. Chapter: 11 Page no: Complexity, quantitative traits and plant breeding: a role for simulation modelling in the genetic improvement of crops. Author s : Cooper, M. Podlich, D. Micallef, K. Smith, O. Jensen, N. Chapman, S. Kruger, N. Chapter: 12 Page no: Linking biophysical and genetic models to integrate physiology, molecular biology and plant breeding.
Quantitative Genetics, Genomics, and Plant Breeding
Author s : Chapman, S. Hammer, G. Cooper, M.
Chapter: 13 Page no: Tissue culture for crop improvement. Author s : Smith, R. Park, S. Chapter: 14 Page no: Transferring genes from wild species into rice. Author s : Brar, D.