D.A. Vaughan. Choosing rice germplasm for evaluation. Euphytica, 54:147-154, 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)
....criteria Sampling methods compared Base Core Passport No.of alleles No. of desirable alleles Genetic background 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 ....
D.A. Vaughan. Choosing rice germplasm for evaluation. Euphytica, 54:147-154, 1991.
Sampling: An efficient, simple and robust technique for scaling.. - Addala (Correct)
....soybean, whereas the sample based on the C strategy was the best for wild tetraploid soybean. The sample based on the L strategy was intermediate for both species. He, therefore, concluded that the L strategy was a good compromise and is an efficient method to handle large crop genebanks. Vaughan [27] compared R, S and C sampling strategies. He found that the C strategy increased 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 ....
D.A. Vaughan. Choosing rice germplasm for evaluation. Euphytica, 54:147--154, 1991.
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