W. Erskine and F.J. Muelbauer. Allozyme and morphological variability, outcrossing rate and core collection formation in lentil germplasm. Theor. Appl. Genetics, 83:119-125, 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Using Data Mining for Crop Genebank Management - Addala, al. (Correct)
.... Genetic diversity Predictive accuracy Source R,C,P,L 1358 140 yes yes no no yes no [3] R,C,L,P,M 2500 250 yes yes no no no no [2] R,S,C 2000 200 yes yes no no no no [20] R,C,P,L,Cl 96 10 no yes no no no no [19] R,C,P,L,CAN 3000 500 no yes no no yes no [21] R,E,P 105 10 yes no no no no no [9] R,C,P,L 1240 211 yes no no no no no [8] R,E,C,P L,CAN,PCA PCSS 6300 630 yes yes yes yes yes no [1] Table 2: A review of comparing the efficiency of the sampling methods Canadian Artificial Intelligence Winter 2000 9 2.2 Core Collection: A Machine Learning Perspective Machine Learning is ....
W. Erskine and F.J. Muelbauer. Allozyme and morphological variability, outcrossing rate and core collection formation in lentil germplasm. Theor. Appl. Genetics, 83:119-125, 1991.
Sampling: An efficient, simple and robust technique for scaling.. - Addala (Correct)
....the chance of finding desirable genes, the S strategy increased or decreased the probability of finding desirable accessions, and the R sampling strategy decreased the probability of finding desirable genes. He concluded that C strategy can handle large databases of rice. Erskine and Muehlbauer [6] compared R, C, P sampling methods on a lentil database base and were unable to detect any differences among the three sampling strategies. Spagnoletti Zeuli and Qualset [24] compared R, E, C, P, L and CAN strategies for the USDA durum wheat database. They found that R, E, C and P strategies ....
W. Erskine and F.J. Muelbauer. Allozyme and morphological variability, outcrossing rate and core collection formation in lentil germplasm. Theor. Appl. Genetics, 83:119--125, 1991.
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