| Literature DB >> 32397495 |
Klaudia Kopczyńska1, Renata Kazimierczak1, Dominika Średnicka-Tober1, Marcin Barański1, Zdzisław Wyszyński2, Katarzyna Kucińska2, Aneta Perzanowska2, Paweł Szacki2, Ewa Rembiałkowska1, Ewelina Hallmann1.
Abstract
Courgette is considered as a low-calorie vegetable with health-promoting properties. However, scientific publications focused on the profile and content of bioactive compounds in courgette, as well as the potential fruit quality modulating factors, are rare. Due to the high adaptability of courgette to weather and agronomic conditions, it is produced on a global scale. The aim of this study was to analyse the impact of organic versus conventional agronomic practices on the concentration of selected antioxidants in courgette fruits. Fruits of two courgette varieties (Astra Polka and Nimba) produced in an organic and conventional system were tested by high performance liquid chromatography (HPLC) to determine the content of polyphenols (flavonoids and phenolic acids), carotenoids, chlorophylls, and vitamin C. Organic courgette fruits were characterised by their significantly higher content of phenolic acids and flavonoids when compared to the conventionally grown fruit. The organic cultivation might be a good method to increase concentration of bioactive compounds with antioxidant properties in courgette fruits. Nevertheless, the identified trends should be further confirmed, with attention paid to other courgette varieties, as well as to the potential interactions between the plant genotype, agronomic system and the location-specific growing conditions.Entities:
Keywords: Cucurbita pepo; Cucurbitaceae; antioxidants; carotenoids; conventional production; courgette; organic production; phenolics; vitamin C; zucchini
Year: 2020 PMID: 32397495 PMCID: PMC7278829 DOI: 10.3390/antiox9050404
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Agronomic inputs and fertilisation in organic and conventional systems.
| Crop Production Practice | Organic | Conventional | ||
|---|---|---|---|---|
| Crop rotation | sugar beet + sheep manure-> winter spelt undersown with red clover-> red clover-> winter spelt | winter wheat-> winter rape-> spring barley | ||
| Fertilizer (dose) | Sheep manure (20t/ha) | Polifoska | Ammonium sulphate | Superphosphate (263 kg/ha) |
| The content of main compounds in fertilizers (%) | N (total): 0.76 | N (total): 8 | N-NH: 17.2 | P2O5: 40 |
| Sum of N, P and K applied to soil (kg/ha) [ | N: 45.6 | N-NH: 37.7, N-NO: 37.7 | ||
| P: 13.9 | P: 124.6 | |||
| K: 166.7 | K: 125 | |||
1 soluble in water; 2 soluble in neutral ammonium citrate and water.
Figure 1Weather conditions (temperatures and rainfall) in vegetation seasons of all three years of courgette cultivation.
The main effects of, and interactions between, cultivation year, variety and agronomic system on the content of dry matter, vitamin C, and selected groups of phenolic compounds in courgette fruits.
| Factor | Dry Matter 1 | DHA 2 | Vitamin C 4 | Polyphenols (Sum) 5 | Phenolic Acids (Sum) 5 | Flavonoids (Sum) 5 | |
|---|---|---|---|---|---|---|---|
| Cultivation Year (CY) | |||||||
| 2016 | 5.29 ± 0.12 6 b 7 | 0.88 ± 0.07 b | 3.73 ± 0.19 a | 4.61 ± 0.22 c | 19.18 ± 0.85 c | 18.44 ± 0.83 c | 0.73 ± 0.03 c |
| 2017 | 5.77 ± 0.13 a | 1.31 ± 0.07 b | 4.40 ± 0.32 a | 5.70 ± 0.35 b | 45.74 ± 2.70 a | 40.69 ± 2.25 a | 5.05 ± 0.48 a |
| 2018 | 4.14 ± 0.10 c | 7.02 ± 0.32 a | 1.36 ± 0.10 b | 8.37 ± 0.32 a | 33.34 ± 1.81 b | 29.76 ± 1.54 b | 3.58 ± 0.32 b |
| Variety (VR) | |||||||
| Astra Polka | 5.06 ± 0.11 | 2.78 ± 0.28 | 3.14 ± 0.20 | 5.91 ± 0.29 | 32.76 ± 1.78 | 29.76 ± 1.52 | 3.00 ± 0.29 |
| Nimba | 5.13 ± 0.11 | 3.14 ± 0.28 | 3.31 ± 0.23 | 6.45 ± 0.27 | 32.81 ± 1.94 | 29.58 ± 1.62 | 3.23 ± 0.34 |
| Agronomic System (AS) | |||||||
| conventional | 4.83 ± 0.10 | 3.12 ± 0.26 | 3.22 ± 0.18 | 6.34 ± 0.25 | 23.51 ± 1.02 | 21.44 ± 0.88 | 2.07 ± 0.16 |
| organic | 5.37 ± 0.13 | 2.77 ± 0.31 | 3.22 ± 0.25 | 5.99 ± 0.31 | 42.63 ± 2.17 | 38.40 ± 1.80 | 4.22 ± 0.40 |
| ANOVA | |||||||
| CY | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
| VR | NS 8 | 0.002 | NS | NS | NS | NS | NS |
| AS | 0.003 | 0.020 | NS | NS | <0.001 | <0.001 | <0.001 |
| CY × VR | NS | NS | NS | NS | NS | NS | NS |
| CY × AS | NS | NS | NS | NS | NS | NS | 0.012 |
| VR × AS | NS | NS | NS | NS | NS | NS | NS |
| CY × VR × AS | NS | NS | NS | NS | NS | NS | NS |
1 g/100 g f.w.; 2 Dehydroascorbic acid (DHA) (mg/100 g f.w.); 3 l-Ascorbic acid (l-ASC) (mg/100 g f.w.); 4 mg/100 g f.w.; 5 µg/g f.w.; 6 data are presented as means ± standard errors; 7 values in the same column followed by different letters (a–c) are significantly different at the 5% level of probability, with “a” always representing the highest value; 8 not significant (NS).
The main effects of, and interactions between, cultivation year, variety, and agronomic system on the content of individual phenolic acids and flavonoids (µg/g f.w.) in courgette fruits.
| Factor | Gallic Acid | Chlorogenic Acid | Caffeic Acid | Ferulic Acid | Quercetin-3- | Kaempferol-3- | |
|---|---|---|---|---|---|---|---|
| Cultivation Year (CY) | |||||||
| 2016 | 6.02 ± 0.56 1 c 2 | 0.53 ± 0.03 c | 2.26 ± 0.31 a | 9.15 ± 0.36 a | 0.47 ± 0.02 c | 0.22 ± 0.02 c | 0.51 ± 0.01 c |
| 2017 | 18.82 ± 0.96 a | 6.98 ± 0.42 a | 2.91 ± 0.24 a | 8.22 ± 0.49 a | 3.76 ± 0.37 a | 2.88 ± 0.29 a | 2.16 ± 0.20 a |
| 2018 | 12.16 ± 0.62 b | 5.57 ± 0.30 b | 3.09 ± 0.37 a | 6.48 ± 0.37 b | 2.65 ± 0.24 b | 1.98 ± 0.18 b | 1.63 ± 0.15 b |
| Variety (VR) | |||||||
| Astra Polka | 12.55 ± 0.71 | 4.15 ± 0.35 | 2.62 ± 0.24 | 8.19 ± 0.37 | 2.24 ± 0.24 | 1.64 ± 0.18 | 1.36 ± 0.12 |
| Nimba | 12.17 ± 0.82 | 4.50 ± 0.35 | 2.88 ± 0.27 | 7.80 ± 0.33 | 2.34 ± 0.24 | 1.74 ± 0.20 | 1.50 ± 0.14 |
| Agronomic System (AS) | |||||||
| conventional | 8.50 ± 0.48 | 3.20 ± 0.23 | 1.63 ± 0.13 | 6.69 ± 0.28 | 1.42 ± 0.12 | 1.15 ± 0.11 | 0.92 ± 0.06 |
| organic | 16.47 ± 0.85 | 5.54 ± 0.42 | 3.93 ± 0.31 | 9.39 ± 0.38 | 3.21 ± 0.31 | 2.27 ± 0.24 | 1.97 ± 0.17 |
| ANOVA | |||||||
| CY | <0.001 | <0.001 | 0.011 | <0.001 | <0.001 | <0.001 | <0.001 |
| VR | NS 3 | NS | NS | NS | NS | NS | NS |
| AS | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.001 | <0.001 |
| CY × VR | NS | NS | NS | NS | NS | NS | NS |
| CY × AS | NS | <0.001 | 0.019 | <0.001 | 0.001 | NS | 0.002 |
| VR × AS | NS | NS | NS | NS | NS | NS | NS |
| CY × VR × AS | NS | NS | NS | 0.007 | NS | NS | NS |
1 Data are presented as means ± standard errors; 2 values in columns followed by different letters (a–c) are significantly different at the 5% level of probability, with “a” always representing the highest value; 3 not significant.
The main effects of, and interactions between, cultivation year and agronomic system on the content of chlorogenic acid, caffeic acid, ferulic acid, sum of flavonoids, kaempferol-3-O-glucoside, lutein, and β-carotene in courgette.
| CY 1 | AS 2 | Chlorogenic Acid 3 | Caffeic Acid 3 | Ferulic Acid 3 | Flavonoids (Sum) 3 | Kaempferol-3- | Lutein 4 | β-Carotene 4 |
|---|---|---|---|---|---|---|---|---|
| 2016 | conventional | 0.43 ± 0.04 5 c 6 | 0.63 ± 0.04 c | 0.45 ± 0.03 d | 0.66 ± 0.02 d | 0.48 ± 0.02 c | 0.100 ± 0.003 b,c | 0.50 ± 0.02 b |
| 2016 | organic | 0.64 ± 0.05 c | 3.89 ± 0.53 a | 0.49 ± 0.02 d | 0.81 ± 0.04 d | 0.55 ± 0.02 c | 0.115 ± 0.004 a | 0.62 ± 0.03 b |
| 2017 | conventional | 5.27 ± 0.39 b | 2.16 ± 0.21 b,c | 2.21 ± 0.24 c | 3.23 ± 0.33 c | 1.32 ± 0.12 b | 0.106 ± 0.003 a,b | 0.60 ± 0.03 b |
| 2017 | organic | 8.81 ± 0.67 a | 3.72 ± 0.42 a,b | 5.42 ± 0.64 a | 6.98 ± 0.83 a | 3.06 ± 0.34 a | 0.100 ± 0.002 b,c | 1.03 ± 0.04 a |
| 2018 | conventional | 3.84 ± 0.24 b | 2.11 ± 0.29 b,c | 1.58 ± 0.16 c,d | 2.27 ± 0.22 c,d | 0.94 ± 0.08 b,c | 0.083 ± 0.003 d | 0.85 ± 0.08 a |
| 2018 | organic | 7.69 ± 0.36 a | 4.21 ± 0.68 a | 3.86 ± 0.40 b | 5.07 ± 0.54 b | 2.40 ± 0.24 a | 0.091 ± 0.003 c,d | 1.06 ± 0.11 a |
| ANOVA | ||||||||
| CY | <0.001 | 0.010 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | |
| AS | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.013 | <0.001 | |
| CY × AS | <0.001 | 0.016 | 0.001 | 0.011 | 0.002 | 0.018 | 0.037 | |
1 Cultivation year; 2 agronomic system; data for varieties were averaged; 3 µg/g f.w.; 4 mg/100 g f.w.; 5 data are presented as means ± standard errors; 6 values in the same column followed by different letters (a–d) are significantly different at the 5% level of probability, with “a” always representing the highest value.
The main effects of, and interactions between, cultivation year and agronomic system on the content of p-coumaric acid, sum of chlorophylls, chlorophyll a, and chlorophyll b in two varieties of courgette.
| CY 1 | AS 2 | Chlorophylls (Sum) 4 | Chlorophyll | Chlorophyll | |
|---|---|---|---|---|---|
| Variety Astra Polka | |||||
| 2016 | conventional | 10.48 ± 0.54 5 a 6 | 2.34 ± 0.11 b, c | 0.55 ± 0.03 a,b | 1.79 ± 0.10 a,b |
| 2016 | organic | 8.77 ± 0.91 a | 2.78 ± 0.12 a, b | 0.62 ± 0.03 a | 2.16 ± 0.10 a |
| 2017 | conventional | 5.55 ± 0.54 b | 2.46 ± 0.14 a,b,c | 0.60 ± 0.02 a,b | 1.86 ± 0.13 a, b |
| 2017 | organic | 11.09 ± 1.18 a | 2.87 ± 0.11 a | 0.62 ± 0.03 a,b | 2.22 ± 0.09 a |
| 2018 | conventional | 3.92 ± 0.38 b | 1.62 ± 0.10 d | 0.44 ± 0.02 c | 1.17 ± 0.08 c |
| 2018 | organic | 9.51 ± 0.64 a | 2.19 ± 0.15 c | 0.52 ± 0.03 b,c | 1.67 ± 0.13 b |
| Variety Nimba | |||||
| 2016 | conventional | 8.30 ± 0.55 a | 1.97 ± 0.09 c | 0.48 ± 0.02 b | 1.48 ± 0.07 b |
| 2016 | organic | 8.96 ± 0.79 a | 2.99 ± 0.13 a | 0.68 ± 0.03 a | 2.31 ± 0.12 a |
| 2017 | conventional | 7.01 ± 0.57 a,b | 2.14 ± 0.11 b,c | 0.59 ± 0.03 a,b | 1.55 ± 0.09 b |
| 2017 | organic | 9.45 ± 1.12 a | 2.56 ± 0.18 a,b | 0.64 ± 0.03 a | 1.92 ± 0.16 a,b |
| 2018 | conventional | 4.65 ± 0.31 b | 1.98 ± 0.16 c | 0.49 ± 0.03 b | 1.49 ± 0.13 b |
| 2018 | organic | 8.36 ± 0.79 a | 1.94 ± 0.13 c | 0.50 ± 0.03 b | 1.44 ± 0.11 b |
| ANOVA | |||||
| CY | 0.002 | <0.001 | <0.001 | <0.001 | |
| AS | 0.016 | 0.004 | 0.008 | 0.006 | |
| CY × AS | NS 7 | <0.001 | 0.004 | 0.003 | |
1 Cultivation year; 2 Agronomic system; 3 µg/g f.w.; 4 mg/100 g f.w.; 5 data are presented as means ± standard errors; 6 values in the same column followed by different letters (a–c) are significantly different at the 5% level of probability, with “a” always representing the highest value; 7 not significant.
The main effects of, and interactions between, cultivation year, variety, and agronomic system on the content of carotenoids and chlorophylls (mg/100 g f.w.) in courgette fruits.
| Factor | Carotenoids (Sum) | Lutein | Zeaxanthin | β-Carotene | Chlorophylls (Sum) | Chlorophyll | Chlorophyll |
|---|---|---|---|---|---|---|---|
| Cultivation Year (CY) | |||||||
| 2016 | 0.66 ± 0.02 1 b 2 | 0.107 ± 0.003 a | - | 0.56 ± 0.02 b | 2.53 ± 0.07 a | 0.59 ± 0.01 a | 1.94 ± 0.06 a |
| 2017 | 0.94 ± 0.04 a | 0.103 ± 0.002 a | 0.036 ± 0.001 | 0.80 ± 0.04 a | 2.50 ± 0.07 a | 0.61 ± 0.01 a | 1.89 ± 0.06 a |
| 2018 | 1.05 ± 0.07 a | 0.087 ± 0.002 b | 0.027 ± 0.001 | 0.95 ± 0.06 a | 1.93 ± 0.07 b | 0.49 ± 0.01 b | 1.44 ± 0.06 b |
| Variety (VR) | |||||||
| Astra Polka | 0.88 ± 0.04 | 0.099 ± 0.002 | 0.031 ± 0.001 | 0.77 ± 0.03 | 2.34 ± 0.06 | 0.55 ± 0.01 | 1.78 ± 0.05 |
| Nimba | 0.86 ± 0.04 | 0.099 ± 0.002 | 0.031 ± 0.001 | 0.75 ± 0.04 | 2.28 ± 0.07 | 0.56 ± 0.01 | 1.71 ± 0.06 |
| Agronomic System (AS) | |||||||
| conventional | 0.76 ± 0.03 | 0.095 ± 0.002 | 0.030 ± 0.001 | 0.65 ± 0.03 | 2.06 ± 0.05 | 0.52 ± 0.01 | 1.54 ± 0.04 |
| organic | 0.99 ± 0.04 | 0.103 ± 0.002 | 0.032 ± 0.001 | 0.87 ± 0.04 | 2.57 ± 0.07 | 0.60 ± 0.01 | 1.97 ± 0.06 |
| ANOVA | |||||||
| CY | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
| VR | NS 3 | NS | NS | NS | NS | NS | NS |
| AS | <0.001 | 0.015 | NS | <0.001 | <0.001 | <0.001 | <0.001 |
| CY × VR | NS | NS | NS | NS | NS | NS | NS |
| CY × AS | NS | 0.020 | NS | 0.039 | 0.036 | 0.026 | NS |
| VR × AS | NS | NS | NS | NS | NS | NS | NS |
| CY × VR × AS | NS | NS | NS | NS | 0.003 | 0.028 | 0.006 |
1 Data are presented as means ± standard errors; 2 values in columns followed by different letters (a and b) are significantly different at the 5% level of probability, with “a” always representing the highest value; 3 not significant.