Principles of Plant Genetics and Breeding. George Acquaah

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effectively designing field and laboratory studies (e.g. for heritability, inheritance of a trait, combining ability), and evaluating genotypes for cultivar release at the end of the breeding program. Familiarity with computers is important for record keeping and data manipulation. Statistics is indispensable to plant breeding programs. This is because the breeder often encounters situations in which predictions about outcomes, comparison of results, estimation of response to a treatment, and many more, need to be made. Genes are not expressed in a vacuum but in an environment with which they interact. Such interactions may cause certain outcomes to deviate from the expected. Statistics is needed to analyze the variance within a population to separate real genetic effects from environmental effects. Application of statistics in plant breeding can be as simple as finding the mean of a set of data, to complex estimates of variance and multivariate analysis.

       BiochemistryIn this era of biotechnology, plant breeders need to be familiar with the molecular basis of heredity. They need to be familiar with the procedures of plant genetic manipulation at the molecular level, including the development and use of molecular markers and gene transfer techniques.

Classical/traditional tools; e.g. Common use of the technology/tool
Emasculation Making a completer flower female; preparation for crossing
Hybridization Crossing unidentical plants to transfer genes or achieve recombination
Wide crossing Crossing of distantly related plants
Selection The primary tool for discriminating among variability
Chromosome counting Determination of ploidy characteristics
Chromosome doubling Manipulating ploidy for fertility
Male sterility To eliminate need for emasculation in hybridization
Triploidy To achieve seedlessness
Linkage analysis For determining association between genes
Statistical tools For evaluation of germplasm
Relatively advanced tools
Mutagenesis To induce mutations to create new variability
Tissue culture For manipulating plants at the cellular or tissue level
Haploidy Used for creating extremely homozygous diploid
Isozyme markers To facilitate the selection process
In situ hybridization Detect successful interspecific crossing
More sophisticated tools
DNA markers
RFLP More effective than protein markers (isozymes)
RAPD PCR‐based molecular marker
Advanced technology
Molecular markers SSR, SNPs, ISSR, DART, etc.
Marker‐assisted selection Facilitate the selection process
DNA sequencing, NGS Ultimate physical map of an organism
Plant genomic analysis‐ Studying the totality of the genes of an organism
Bioinformatics Computer‐based technology for prediction of biological function from DNA sequence data
Microarray analysis To understand gene expression and for sequence identification
Primer design For molecular analysis of plant genome
Plant transformation For recombinant DNA work
OMICS technologies For studying various aspects of the entire genome
Genome editing For more efficient manipulation of the genome
Genome mapping For more efficient gene discovery

      Whereas the training of a modern plant breeder includes these courses and practical experiences in these and other disciplines, it is obvious that one cannot be an expert in all of them. Modern plant breeding is more of a team than a solo effort. A plant breeding team will usually have experts in all these key disciplines, each one contributing to the development and release of a successful cultivar. Increasingly important disciplines in plant breeding are computer science, for their role in bioinformatics, big data, and simulations.

Bar chart depicts the yield of major world food crops is steadily rising. A significant portion of this rise is attributable to the use of improved crop cultivars by crop producers.

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