Titlebook: Genomics-Assisted Crop Improvement; Vol 1: Genomics Appr Rajeev K. Varshney,Roberto Tuberosa Book 20071st edition Springer Science+Business

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Genic Molecular Markers in Plants: Development and Applications,T-sequences, are expected to represent the functional component of the genome i.e., gene(s), in contrast to all other random DNA-based markers (RDMs) that are developed/generated from the anonymous genomic DNA sequences/domains irrespective of their genic content/information. Therefore, identifying

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Molecular Breeding: Maximizing the Exploitation of Genetic Diversity,ly exploit the potential of molecular breeding as well as the potential of available germplasm resources, the selection methods in breeding will have to be adapted, towards the integrated use of genetic knowledge based on DNA markers.

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Modeling Qtl Effects and Mas in Plant Breeding,marker-assisted selection (MAS) for the detected trait QTL as components of a comprehensive plant breeding strategy, simulation modeling methods can be applied to quantify the robustness of the chosen QTL analysis and MAS methods for the trait genetics complexity continuum. We review methods that ca

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Exploitation of Natural Biodiversity Through Genomics,d from the phenotype of the wild plants. The results from these studies may help open up new sources of genetic variation for plant breeding and biotechnology and shed light on the nature of quantitative trait variation.

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Cloning Qtls in Plants,e sequences and improved bioinformatics will facilitate . cross-matching of candidate sequences with QTLs in programmes of positional cloning or association mapping. Several QTLs have been associated to candidate genes solely based on map information and further circumstantial observation, and witho

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Use of Serial Analysis of Gene Expression (Sage) for Transcript Profiling in Plants,icroarrays, and current applications of SAGE in plant transcript profiling. In plants, SAGE has been used to analyse: (1) host-pathogen interactions, (2) plant responses to various environmental and nutritional stresses, (3) metabolism of toxic compounds, and (4) transcript profiling of a particular