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1.
Genet Mol Res ; 14(4): 18421-30, 2015 Dec 28.
Article in English | MEDLINE | ID: mdl-26782490

ABSTRACT

The use of best linear unbiased prediction/restricted maximum likelihood (BLUP/REML) in perennial crops and animal breeding enhances selection gain. However, its advantage with respect to annual crops is not clear. We compared the BLUP and best linear unbiased estimator selection efficiency in the breeding of various potato generations. This was done by simulating various selection intensities on clonal families (full sibs), and clones. The characters evaluated were tuber yield and tuber specific gravity. Two criteria were adopted for comparison: a) incidence of families or clones and b) selection gain. For tuber yield, BLUP/REML method was slightly more efficient for selecting families in the first clonal generation, if it were above 50%. Below this value, both methods were equivalent. However, they both presented equal behavior for family selection of tuber specific gravity. For clonal selection, BLUP/REML showed robust superiority from 10 to 90% selection intensities in both characters. Therefore, the adequate use of BLUP/REML in potato breeding can enhance the selection gain on the yield and specific gravity of tubers.


Subject(s)
Selection, Genetic , Solanum tuberosum/genetics , Algorithms , Breeding , Databases, Genetic , Gravitation , Models, Genetic
2.
Genet Mol Res ; 13(4): 9817-27, 2014 Nov 27.
Article in English | MEDLINE | ID: mdl-25501191

ABSTRACT

Twenty-five cultivars of grain sorghum [Sorghum bicolor (L.) Moench] were examined under both drought stress and normal conditions in 4 experiments. In each condition, genotypes were evaluated in a factorial experiment using a randomized complete block design with 3 replications. Eight drought tolerance indices including stability tolerance index, mean productivity (MP), geometric MP, harmonic mean, stress susceptibility index, tolerance index, yield index, and yield stability index were estimated for each genotype based on grain yield under drought (Ys) and irrigated conditions (Yp). The results indicated that there were positive and significant correlations among Yp and Ys with geometric MP, MP, harmonic mean, and stability tolerance index, indicating that these factors are better predictors of Yp and Ys than tolerance index, stress susceptibility index, yield stability index, and yield index. Based on adjusted means at Yp and Ys, indices geometric MP, MP, harmonic mean, and stability tolerance index, unweighted pair group method with arithmetic mean cluster and biplot analysis, the most tolerant cultivars were '9929020', '9929034', and 'N 95B'.


Subject(s)
Adaptation, Physiological/genetics , Models, Statistical , Seeds/genetics , Sorghum/genetics , Stress, Physiological/genetics , Agricultural Irrigation/statistics & numerical data , Brazil , Cluster Analysis , Droughts , Genotype , Seasons , Seeds/metabolism , Sorghum/metabolism , Water/metabolism
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