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Guang-Jun Li

Publications and source records attributed to Guang-Jun Li.

2 recordsLinked to original sources

[A simulated study on mapping QTL in a segregating sub-population].

For mapping QTLs, phenotypes of the traits in segregating population derived from the cross between two isogenic lines of the targeted QTL may reflect its genotype if the effect of the QTL is relatively large. In order to map the QTL, it is necessary to use a large sample under the high density of markers around the QTL. However, it increases experimental costs. In order to save the costs, it is possible to map the QTL using the sub-population that consists of plants with homogenous recessive. In this paper, the sub-population was used to estimate the recombination fraction between the marker and the QTL, and its standard error for F2, backcross (BC), double haploid (DH) and recombinant inbred lines (RIL) populations, respectively. The results from Monte Carlo simulation showed that the estimation of recombination fraction based on the sub-population is consistent with that obtained from the full population, and the precision of the former is same as that of the later under the same sample size.

Genetic Markers↗

[Ecological footprint in building green university].

Ecological footprint is one of the best indexes to evaluate the level of green university. The approaches of ecological footprint are made up of compound approach and component approach. This paper introduces the basic principle and algorithm of the componential approach of ecological footprint, taking Northeastern University as an example and using this approach in the research of campus. Result show that the ecological footprint of Northeastern University 2003 was 24 787hm2, needing the productive land of ecology about 25 000hm2 support all kinds of consumption of the school and absorb the offal. The ecological efficiency of the school was 0.94cap/hm2. In the ecological footprints, the energy's footprints is the largest, it accounted for more than 2/3 of the total footprints, the next are food consumption and solid rubbish.

China↗