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Maternal and Paternal Effect on the Characters of Durian (Durio Zibethinus Murr.) Fruit from Cross-Pollination

SCI. 29(4): 324-326. Honsho C., Yonemori K., Somsri S., Subhadrabandhu S., Sugiura A. 2004. Marked improvement of fruit set in Thai durian by artificial cross-pollination. HORT SCI. 101: 339-406. Kahn T.L., Adams C.J., Arpaia M.L. 2003. Paternal and maternal effects on fruit and seed characteristics in cherimoya ( Annona cherimola Mill.). SCI. HORTIC. 59(1): 11-25. Lim T.K., Luders L. 1998. Durian flowering, pollination and incompatibility studies. ANNALS APPL. BIOL. 132: 151-165. Lim T.K., Luders L

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Influence of Five Clonal Rootstocks on the Growth, Productivity and Fruit Quality of ‘Sylvia’ and ‘Karina’ Sweet Cherry Trees

’ sweet cherry in Polish climatic conditions. ACTA HORT. 795: 215-219. Grzyb Z.S., Sitarek M., Omiecińska B. 1998. Growth and fruiting of five sweet cherry cultivars on dwarfing and vigorous rootstocks. ACTA HORT. 468: 333-338. Hrotkó K. 2008. Progress in cherry rootstock research. ACTA HORT. 795: 171-178. Kappel F., Lang G. 2008. Performance of the NC-140 regional sweet cherry rootstock trial planted in 1998 in North America. ACTA HORT. 795: 317-320. Lang G.A. 2000. Precocious, dwarfing, and productive

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Nine year results of growth and yielding estimation of six scab-resistant apple cultivars grafted on three dwarfing rootstocks in integrated fruit production

References Blażek J. 2004. Response to diseases in new apple cultivars from the Czech Republic. J. FRUIT ORNAM. PLANT RES. 12: 241-250. Borecki Z., Mrozowska T. 1961. Zwalczanie grzyba Venturia inaequalis (Cooke) Aderch. metodą chemiczną na odmianach jabłoni o różnym stopniu wrażliwości. PRACE INST. SAD. 5: 271-285. Czynczyk A. 1996. Więcej uwagi na odmiany parchoodporne. Międzynarodowe Sympozjum − Ekologia w Ogrodnictwie. 30.05-01.06.1996 ART. Olsztyn, pp. 12-16. Czynczyk A., Bielicki

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Fruit-Growing in Latvia – Industry and Science

about the problems of local fruit-growing and fruit evaluation]. Dârzkopîbas un Biðkopîbas Þurnâls, Nr. 3, 93-101, Nr. 6, 225-233, Nr. 9, 362-365 (in Latvian). Dindons, P. (1929). Kas jâievçro turpmâk pie augïu dârzu ierîkoðanas [What should be observed at establishment of orchards in future]. Rîgas dârzkopîbas biedrîbas gada grâmata, 75-78 (in Latvian). Gailītis, P. (1940). Kârïos atrodamais potcelmu materiâls [Rootstock material found at Kârïi]. Dârzkopîbas un Biðkopîbas Þurnâls, Nr. 9, 467-473 (in Latvian). Gailītis

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Health risk analysis of pesticide residues in berry fruit from north-eastern Poland

ABSTRACT

The first aim of this paper was to evaluate pesticide residue levels of berry fruit samples. The second aim was to analyze health risks associated with pesticide levels. The monitoring was conducted on samples from producers in north-eastern Poland, during the time period 2005-2010. In total, 241 samples of berry fruit were analyzed using validated and accredited multi residue methods. The studies included 7 commodities (125 strawberry, 59 black currant, 25 raspberry, 23 chokeberry, 7 red currant samples and one sample of elderberry and wild strawberry), and the analysis of 128 pesticides. Residues, mainly insecticides, were found in 47.7% of samples while 40.7% of samples contained pesticide residues below MRLs and 7% above MRLs. The pesticides were found most often in red currant (100%) and black currant (63%) samples. The most frequently detected pesticides were fenazaquin and fenitrothion. Pesticide residues at levels exceeding legally binding MRLs occurred mostly in black currant samples (12 samples). Violations of the maximum residue limits (MRLs) (15 notifications) and use of a forbidden plant protection product (8 notifications) were found in twenty-three berry samples during the six-year study. For these cases, the RASFF system (rapid alert system for food and feed) procedures were initiated. The highest number of notifications was recorded in 2008 (11 notifications). Only one of the notifications was prepared for berry fruit from an integrated production system − black currant, the remaining were for conventional fruit. Among the RASFF notifications, 17 (74%) were for black currant samples.

The estimated exposure to pesticide residues detected in the analyzed berry fruit samples was shown to be very low for the general population (adults) and for the critical population of small children. Acute and chronic exposure based on residue levels did not adversely affect consumer health.

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Assessment of the Pesticide Residue Occurrence in Fruit from the South-Eastern Region of Poland During 2010-2011 Seasons

Abstract

During the 2010-2011 seasons, analyses of 171 samples of fresh fruit from the south-eastern region of Poland were performed. The research program included the determination of 137 (in 2010) to 152 (in 2011) active substances, together with their metabolites and decomposition products. The analytical methods used in the research were gas chromatography (GC/ECD/NPD) and spectrophotometry (to determine residues of dithiocarbamates). The results were compared with Poland’s allowed maximum residue levels (MRLs).

Residues of active plant protection product substances were detected in 85 samples (50%), while 7 (4%) samples had exceeded the MRLs.

Violations of MRLs were mainly concerned with the following group of insecticides: cypermethrin (in black currant), esfenwalerate (in raspberry), and the fungicides: propiconazole, and difenoconazole (in gooseberries).

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The Effect of Rootstocks on the Fruit Characteristic Attributes of ‘Jonica’ Apples

References Autio W.R., Barden J.A., Brown G.R. 1991. Rootstock affects ripening, size, mineral composition, and storability of ‘Starkspur Supreme Delicious’ in the 1980-81 NC-140 cooperative planting. Fruit Var. J. 45 : 247-251. Autio W.R., Hayden R.A., Micke W.C., Brown G.R. 1996. Rootstock affects ripening, color, and shape of ‘Starkspur Supreme Delicious’ apples in the 1984 NC-140 cooperative planting. Fruit Var. J. 50 (1): 45-53. Castle W.S. 1995. Rootstock as a fruit quality

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Biochemical Properties and Fruit Quality of "Jahangiri" (Prunus armeniaca L.) Apricot Fruit under Calcium Chloride Treatment

properties of gram. J Agric Eng Res, 39: 259-268 Eaks I.L., 1985. Effect of calcium on ripening, respiratory rate, ethylene production, and quality of avocado fruit. J Am Soc Hort Sci, 110:145-148. FAOSTAT, 2012 - FAO Statistical Database. http://www.faostat.org Ferreres F., Tomás-Barberán F.A., Gil MI., Tomáas-Lorente F., 1991 - An HPLC technique for flavonoid analysis in honey. J Sci Food Agr, 56, 49-56. Filsoof M., Mehran M., Farrohi F., 1976 - Determination and comparison of oil characteristics in Iranian

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The background and new perspectives and agricultural aspects concerning food allergy and fruit hypersensitivity

of food hypersensitivity during sixteen years of double-blind, placebocontrolled food challenges. J. PEDIATR. 117: 561-567. Botton A., Lezzer P., Dorigoni A., Barcaccia G., Ruperti B., Ramina A. 2008. Genetic and environmental factors affecting allergen-related gene expression in apple fruit ( Malus domestica L. Borkh). J. AGRIC. FOOD. CHEM. 56: 6707-6716. Breiteneder H., Radauer C. 2004. A classification of plant food allergens. J. ALLERGY CLIN. IMMUNOL. 113: 821-830. Brenna O.V., Pastorello E.A., Farioli L

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Stochastic Fractal Based Multiobjective Fruit Fly Optimization

, Oxford University Press, Oxford. Chen, B., Zeng, W., Lin, Y. and Zhang, D. (2015). A new local search-based multiobjective optimization algorithm, IEEE Transactions on Evolutionary Computation 19(1): 50-73. Chen, P.-W., Lin, W.-Y., Huang, T.-H. and Pan, W.-T. (2013). Using fruit fly optimization algorithm optimized grey model neural network to perform satisfaction analysis for e-business service, Applied Mathematics & Information Sciences 7(2L): 459-465. Cheng, R., Jin, Y., Narukawa, K. and Sendhoff, B. (2015). A

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