Data/hora: 06/06/2024 23:32:18

Biblioteca(s): | Embrapa Milho e Sorgo.
Data corrente: | 02/12/2016
Data da última atualização: | 11/04/2017
Autoria: | PEREIRA, G. da S.; LAPERUTA, L. D. C.; NUNES, E. S.; CHAVARRIA, L.; PASTINA, M. M.; GAZAFFI, R.; GERALDI, I. O.; GARCIA, A. A. F.; VIEIRA, M. L. C.
Afiliação: | Guilherme da Silva Pereira, ESALQ; Larissa Di Cassia Laperuta, ESALQ; Endson Santana Nunes, ESALQ; Lourdes Chavarría, ESALQ; MARIA MARTA PASTINA, CNPMS; Rodrigo Gazaffi, Universidade Federal de São Carlos; Isaías Olívio Geraldi, ESALQ; Antonio Augusto Franco Garcia, ESALQ; Maria Lucia Carneiro Vieira, ESALQ.
Título: | The sweet passion fruit (Passiflora alata) crop: genetic and phenotypic parameter estimates and QTL mapping for fruit traits.
Ano de publicação: | 2017
Fonte/Imprenta: | Tropical Plant Biology, v. 10, n. 1, p. 18-29, 2017.
DOI: | 10.1007/s12042-016-9181-4
Idioma: | Inglês
Conteúdo: | Despite 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.
Thesagro: | Maracujá; Parâmetro genético.
Categoria do assunto: | G Melhoramento Genético
Registro original: | Embrapa Milho e Sorgo (CNPMS)
Exemplares: | CNPMS - (27501-1) - UPC - AP - DD -  -  -  - DIS