Frugivorous flies (Diptera: Tephritidae, Lonchaeidae) associated with fruit production on Ilha de Santana, Brazilian Amazon.

Este trabalho teve por objetivo identificar as espécies de moscas frugívoras (Tephritidae e Lonchaeidae), seus hospedeiros e parasitoides na Ilha de Santana, Estado do Amapá, Amazônia brasileira. Adicionalmente, objetivou estudar a exploração hospedeira por Bactrocera carambolae Drew & Hancock. Foram realizadas coletas de frutos de diversas espécies vegetais, a cada 30 dias, no período de janeiro a julho de 2015. Foram coletadas 149 amostras de frutos (3.142 frutos, 76,3 Kg), pertencentes a 20 espécies vegetais (9 nativas e 11 introduzidas) de 13 famílias botânicas. Houve infestação por moscas frugívoras em 86 amostras (11 espécies de 8 famílias botânicas). Foram obtidos espécimes de cinco espécies de Tephritidae, quatro de Lonchaeidae e três de parasitoides Braconidae. As espécies de moscas frugívoras mais importantes na Ilha de Santana são: B. carambolae, devido sua expressão quarentenária; e Anastrepha obliqua (Macquart) e Anastrepha striata Schiner, pelo fato de infestarem espécies vegetais de importância socioeconômica local. Os hospedeiros Averrhoa carambola (Oxalidaceae), Eugenia uniflora (Myrtaceae), Malpighia emarginata (Malpighiaceae) e Psidium guajava (Myrtaceae) são responsáveis pela manutenção da população de B. carambolae.

Pesticide bioconcentration modelling for fruit trees.

The model presented allows simulating the pesticide concentration in fruit trees and estimating the pesticide bioconcentration factor in fruits of woody species. The model allows estimating the pesticide uptake by plants through the water transpiration stream and also the time in which maximum pesticide concentration occur in the fruits. The equation proposed presents the relationships between bioconcentration factor (BCF) and the following variables: plant water transpiration volume (Q), pesticide transpiration stream concentration factor (TSCF), pesticide stem-water partition coefficient (KWood,w), stem dry biomass (M) and pesticide dissipation rate in the soil-plant system (kEGS). The modeling started and was developed from a previous model ?Fruit Tree Model? (FTM), reported by Trapp and collaborators in 2003, to which was added the hypothesis that the pesticide degradation in the soil follows a first order kinetic equation. The model fitness was evaluated through the sensitivity analysis of the pesticide BCF values in fruits with respect to the model entry data variability.

Genome selection in fruit breeding: application to table grapes.

Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic selection afforded greater efficiency than QTL analysis and can be very useful in speeding up the selection procedures for agronomic traits in table grapes.