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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Portugal, A. F. Bastos, E. A. Menezes, C. B. Nogueira, D. W. Schaffert, R. E. Ticona-Benavente, C. A. Santos, C. V. Cardoso, M. J. Tardin, F. D. |
| Spatial Coverage | Brazil |
| Description | Country affiliation: Brazil Author Affiliation: Menezes CB ( Embrapa Milho e Sorgo, Sete Lagoas, MG, Brasil cicero.menezes@embrapa.br.); Ticona-Benavente CA ( Instituto Nacional de Pesquisas da Amazônia, Manaus, AM, Brasil.); Tardin FD ( Embrapa Milho e Sorgo, Sete Lagoas, MG, Brasil.); Cardoso MJ ( Embrapa Meio Norte, Teresina, PI, Brasil.); Bastos EA ( Embrapa Meio Norte, Teresina, PI, Brasil.); Nogueira DW ( Universidade Federal de Lavras, Lavras, MG, Brasil.); Portugal AF ( Embrapa Milho e Sorgo, Sete Lagoas, MG, Brasil.); Santos CV ( Universidade Federal de São João Del-Rei, Sete Lagoas, MG, Brasil.); Schaffert RE ( Embrapa Milho e Sorgo, Sete Lagoas, MG, Brasil.) |
| 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'. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 4 |
| Volume Number | 13 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Date | 2014-11-27 |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Adaptation, Physiological Genetics Models, Statistical Sorghum Stress, Physiological Agricultural Irrigation Statistics & Numerical Data Cluster Analysis Droughts Genotype Seasons Metabolism Research Support, Non-u.s. Gov't Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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