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Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/14985
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dc.contributor.authorMenezes, Cícero Beserra de-
dc.contributor.authorTicona-Benavente, César Augusto-
dc.contributor.authorTardin, Flávio Dessaune-
dc.contributor.authorCardoso, Mílton José-
dc.contributor.authorBastos, Edson Alves-
dc.contributor.authorNogueira, Douglas Willian-
dc.contributor.authorPortugal, Arley Figueiredo-
dc.contributor.authorSantos, C. V.-
dc.contributor.authorSchaffert, Robert Eugene-
dc.date.accessioned2020-05-07T14:00:20Z-
dc.date.available2020-05-07T14:00:20Z-
dc.date.issued2014-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/14985-
dc.description.abstractTwenty-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’. © FUNPEC-RP.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 13, Número 4, Pags. 9817-9827pt_BR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/br/*
dc.subjectAnalytic Methoden
dc.subjectCultivaren
dc.subjectDrought Stressen
dc.subjectDrought Toleranceen
dc.subjectGenotypeen
dc.subjectGeometric Mean Productivityen
dc.subjectGrain Yielden
dc.subjectHarmonic Meanen
dc.subjectMathematical Computingen
dc.subjectMean Productivityen
dc.subjectNonhumanen
dc.subjectPhysical Parametersen
dc.subjectPlant Parametersen
dc.subjectSorghumen
dc.subjectStability Tolerance Indexen
dc.subjectStress Susceptibility Indexen
dc.subjectTolerance Indexen
dc.subjectYield Indexen
dc.subjectYield Stability Indexen
dc.subjectAdaptationen
dc.subjectCluster Analysisen
dc.subjectDroughten
dc.subjectGeneticsen
dc.subjectIrrigation (agriculture)en
dc.subjectMetabolismen
dc.subjectStress, Physiologicalen
dc.subjectSeed Planten
dc.subjectSeasonen
dc.subjectSorghumen
dc.subjectStatistical Modelen
dc.subjectStatistics And Numerical Dataen
dc.subjectSorghum Bicolor Bicoloren
dc.subjectSorghum Bicolor Bicoloren
dc.subjectWateren
dc.subjectAdaptation, Physiologicalen
dc.subjectAgricultural Irrigationen
dc.subjectCluster Analysisen
dc.subjectDroughtsen
dc.subjectGenotypeen
dc.subjectModels, Statisticalen
dc.subjectSeasonsen
dc.subjectSeedsen
dc.subjectSorghumen
dc.subjectStress, Physiologicalen
dc.subjectWateren
dc.titleSelection indices to identify drought-tolerant grain sorghum cultivarsen
dc.typeArtigopt_BR
dc.identifier.doi10.4238/2014.November.27.9-
dc.publisher.journalGenetics and Molecular Researchpt_BR
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