Description Usage Arguments Details Value Author(s) References Examples
This function evaluation efficiency of the new core collection, using the four parameters.
1 | evalucc(CC, EC)
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CC |
data frame including value of quantitaive traits (phenotypic data) for core collection |
EC |
data frame including value of quantitaive traits (phenotypic data) for entire collection |
The DD The MD The VD The RR
Return a matrix present a value of four parameters- DD
Marcin Studnicki and Konrad Debski
For information about the evaluation of core collection, see:
Franco J., Crossa J., Taba S., Shands H. 2005. A sampling strategy for conserving genetic diversity when forming core subsets. Crop Sci. 45:1035-1044
Hu J., Zhu J., Xu H.M. 2000. Methods of constructing core collections by stepwise clustering with three sampling strategies based on the genotypic values of crops. Theoretical and Applied Genetics 101:264-268
Kim K.W., Chung H.K., Cho G.T., Ma K.H., Chandrabalan D., Gwag J.G., Kim T.S., Cho E.G., Park Y.J. 2007. PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics 23:2155-2162
Studnicki, M., Madry, W., Kociuba, W. 2010. The efficiency and effectiveness of sampling strategies used to develop a core collection for the Polish spring triticale (Triticosecale Wittm.) germplasm resources. Communications in Biometry and Crop Science 5:127-137
Wang J., Hu J., Zhang C.F., Zhang S. 2007. A strategy on constructing core collections by least distance stepwise sampling. Theoretical and Applied Genetics 15:1-8
1 2 3 4 | data(dactylis_CC)
data(dactylis_EC)
dactylis_EC<-subset(dactylis_EC, select= -UPGMA)
evalucc(dactylis_CC, dactylis_EC)
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