02114naa a2200289 a 450000100080000000500110000800800410001902200220006002400420008210000190012424501090014326000090025252012940026165000110155565000130156665000130157965000230159265000100161565000140162565000230163970000230166270000230168570000210170870000230172970000190175277300530177120996922018-11-20       2018    bl uuuu     u00u1 u    #d  aon-line 1807-86217 a10.4025/actasciagron.v40i1.393642DOI1 aTEODORO, P. E.  aInterrelations between agronomic and technological fiber traits in upland cotton.h[electronic resource]  c2018  aFiber length stands out among technological traits as one that still needs to be improved in cotton. Thus, the objectives of this work were to quantify the interrelations between agronomic and technological fiber traits and to identify traits that could be used for the indirect selection of cotton genotypes with longer fiber lengths. Agronomic and technological traits were evaluated in 36 elite lines of cotton that were cultivated in three environments. Canonical correlations were estimated between two groups of traits: agronomic and technological. Path analysis was performed that considered fiber length as the primary dependent variable. The genotypes presented variability in all the evaluated traits, and no significant genotype vs. environmental interaction was observed for any of them. The main technological traits of cotton crops can be improved by an indirect selection of agronomic traits. The selection of cotton genotypes with a smaller size and a higher mean boll weight can be used to increase fiber length and improve other technological traits. Selection indices containing plant height, mean boll weight, fiber strength, and fiber uniformity can be one of the main strategies for the selection of cotton genotypes with a high yield of cotton bolls and long fibers.  aCotton  aGenotype  aAlgodão  aAlgodão Herbáceo  aFibra  aGenótipo  aGossypium Hirsutum1 aCARVALHO, L. P. de1 aRODRIGUES, J. I. S1 aFARIAS, F. J. C.1 aCARNEIRO, P. C. S.1 aBHERING, L. L.  tActa Scientiarum. Agronomygv. 40, e39364, 2018.