Technical Crops (Genome Mapping and Molecular Breeding in by Chittaranjan Kole

By Chittaranjan Kole

Technical vegetation comprises crops of serious agricultural value. One bankruptcy is dedicated to cotton, crucial fiber crop on which major development in molecular genetic learn has been made. reports on oil palm, espresso, tea, cocoa and rubber describe conventional breeding and initial molecular effects. Chapters on forage vegetation, ornamentals, and medicinal and fragrant crops could function highway maps for extra molecular study.

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The Southern hybridizations required to detected RFLPs are labor-intensive, however, and RFLPs have been replaced by PCR-amplified markers that are amenable to multiplexing on modern fluorescent capillary electrophoresis machines. Many of the mapped RFLPs have now been converted to STSs and will reappear as PCR-amplified markers (Rong et al. 2004). There has also been an incredible increase in the number of publicly available SSRs that are transferable across a number of the Gossypium genomes. The first Gossypium genetic linkage map to incorporate SSRs was published in 2000, and there has been a notable rise in their application since then (Table 1).

3 progeny Ulloa et al. 3 2 QTLs for stomatal conductance identified 171 G. hirsutum (TM-1) × G. barbadense (3-79) F2 progeny Kohel et al. (2001), Yu et al. 4 First genetic linkage map of genetic and cytogenetic standards for G. barbadense and G. hirsutum (Kohel 1973) 58 G. hirsutum (TM-1) × G. barbadense (Hai 7124) haploid and doubled-haploid progeny Zhang et al. 9 First composite genetic linkage map of the AD tetraploid genome Population A: 96 G. 2 Population B: 119 G. 3 progeny (Ulloa and Meredith 2000) Population C: 199 G.

Of the two methods, CIM is more powerful and can minimize the bias that would normally be associated with a QTL that is linked to the position being tested. The computer program QTL Cartographer uses simple linear regression, stepwise regression, interval mapping, and CIM that extends the regression equation to include more markers and uses the remaining markers as cofactors in order to remove the effects of multiple QTLs. The linkage groups are scanned to determine whether the likelihood ratio (LR) test statistic is increasing or decreasing.

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