Selection Methods in Plant Breeding (eBook)

Written for plant breeders, researchers and post-graduate students, this excellent new book provides a comprehensive review of the methods and underlying theoretical foundations used for selection in plant breeding programs. The authors review basic elements of population and quantitative genetic theory, moving on to consider in a unique way the tackling of the problems presented by soil heterogeneity and intergenotypic competition when selecting quantitative characters.

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Selection procedures used in plant breeding have gradually developed over a very long time span, in fact since settled agriculture was ?rst undertaken. Nowadays these procedures range from very simple mass selection methods, sometimes applied in an ine?ective way, to indirect trait selection based on molecular markers. The procedures di?er in costs as well as in genetic - ciency.Incontrasttothegenetice?ciency,costsdependonthelocalconditions encountered by the breeder. The genetic progress per unit of money invested varies consequently from site to site. This book considers consequently only the genetic e?ciency, i.e. the rate of progress to be expected when applying a certain selection procedure. Ifabreederhasacertainbreedinggoalinmind,aselectionprocedureshould be chosen. A wise choice requires a wellfounded opinion about the response to be expected from any procedure that might be applied. Such an opinion should preferably be based on the most appropriate model when considering the crop and the trait (or traits) to be improved. Sometimes little knowledge is available about the genetic control of expression of the trait(s). This applies particularly in the case of quantitative variation in the traits. It is, therefore, important to be familiar with methods for the elucidation of the inheritance of the traits of interest. This means, in fact, that the breeder should be able to develop population genetic and quantitative genetic models that describe the observed mode of inheritance as satisfactorily as possible.