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杏果实的园艺学和营养特性:栽培系统和冷藏水果管理。

Pomological and nutraceutical properties in apricot fruit: cultivation systems and cold storage fruit management.

机构信息

Scuola Superiore Sant'Anna di Studi Universitari e di Perfezionamento, Piazza Martiri della Libertà 33, 56127, Pisa, Italy.

出版信息

Plant Foods Hum Nutr. 2010 Jun;65(2):112-20. doi: 10.1007/s11130-010-0158-4.

Abstract

We have investigated the effect of cultivation systems and fruit post-harvest management on the antioxidant properties of apricot fruits. Trees of five cultivars 'Tyrinthos', 'Cafona', 'Bella d'Italia', 'Vitillo' and 'Pellecchiella' were cultivated under integrated and organic systems. Fruits were collected at full maturity stage and analyzed either immediately or after storage at 4+/-0.5 degrees C and 85% of relative humidity for seven and 14 days. The main pomological traits (weight, colour, flesh firmness, total soluble sugars, titratable acidity) and antioxidant properties were analyzed. The total antioxidant capacity (TAC by TEAC method), total phenols content (TP by Folin-Ciocalteu method) and carotenoid content by HPLC-DAD were monitored. Cultivar characterization by principal component analysis (PCA) indicated a large variability on pomological and antioxidant properties of apricot fruits. 'Bella d'Italia' showed better TAC and TP values compared to the other cultivars. ANOVA interactions between cultivar and cultivation system (organic/integrated) were found for the antioxidant properties. These interactions may help to select a set of genotypes with better performances under organic system, which in our study might be indicated in 'Cafona' and 'Bella d'Italia'.

摘要

我们研究了栽培系统和果实采后管理对巴旦杏果实抗氧化特性的影响。在综合和有机系统下种植了五个品种的 'Tyrinthos'、'Cafona'、'Bella d'Italia'、'Vitillo' 和 'Pellecchiella'。果实完全成熟后进行收集,立即进行分析,或在 4+/-0.5 摄氏度和 85%相对湿度下储存 7 天和 14 天后进行分析。分析了主要的果实特性(重量、颜色、果肉硬度、总可溶性糖、可滴定酸度)和抗氧化特性。采用 TEAC 法测定总抗氧化能力(TAC),用福林-比色法测定总酚含量(TP),用 HPLC-DAD 测定类胡萝卜素含量。通过主成分分析(PCA)对品种进行特征描述,表明巴旦杏果实的果实和抗氧化特性存在很大的变异性。'Bella d'Italia'与其他品种相比,具有更好的 TAC 和 TP 值。抗氧化特性存在品种与栽培系统(有机/综合)的 ANOVA 交互作用。这些相互作用可能有助于选择在有机系统下表现更好的一组基因型,在我们的研究中,'Cafona'和 'Bella d'Italia'可能是这样的基因型。

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