02457naa a2200253 a 450000100080000000500110000800800410001902400350006010000220009524501530011726000090027052016740027965000140195365000250196770000230199270000170201570000180203270000190205070000160206970000190208570000210210470000210212577300570214620578352017-04-11       2017    bl uuuu     u00u1 u    #d7 a10.1007/s12042-016-9181-42DOI1 aPEREIRA, G. da S.  aThe sweet passion fruit (Passiflora alata) cropbgenetic and phenotypic parameter estimates and QTL mapping for fruit traits.h[electronic resource]  c2017  aDespite their economic importance, some tropical crop species are largely neglected when it comes to conducting genetic studies characterizing target traits for breeding. Herein, genetic and phenotypic parameters as well quantitative trait loci (QTL) are described for the first time in a full-sib progeny of sweet passion fruit (Passiflora alata). A hundred F1 individuals were evaluated in two locations for seven fruit traits: diameter of fruit (DF, in mm), length of fruit (LF, in mm), weight of fruit (WF, in g), thickness of fruit skin (TS, in mm), weight of fruit skin (WS, in g), weight of fruit pulp (WP, in g) and soluble solids (SS, in °Brix). Mixed models fitted complex, unstructured genetic variance-covariance matrices for all traits in phenotypic analysis. Because of important genetic correlations among skin and pulp traits, multiplicative index selection to select the most promising individuals was successfully applied. A previously reported integrated map supported composite interval mapping (CIM) analyses. In total, we found 22 QTLs mapped in seven out of nine linkage groups. Heritabilities (from 59.8 % to 82.7 %) and proportion of phenotypic variance explained by the QTLs (from 42.0 % to 64.3 %) were comparable for each trait. Principal component analysis on TS, WS and WP showed that the first two principal components (PCs) accounted for 93.6 % of the total variability. CIM analyses on these two PCs revealed five putative QTLs controlling variation for these three traits simultaneously. Thus, genetic improvement for sweet passion fruit should be based on correlations between traits and QTL-related information can be a useful tool.  aMaracujá  aParâmetro genético1 aLAPERUTA, L. D. C.1 aNUNES, E. S.1 aCHAVARRIA, L.1 aPASTINA, M. M.1 aGAZAFFI, R.1 aGERALDI, I. O.1 aGARCIA, A. A. F.1 aVIEIRA, M. L. C.  tTropical Plant Biologygv. 10, n. 1, p. 18-29, 2017.