| Literature DB >> 31771137 |
María Gloria Sáenz-Romo1, Ariadna Veas-Bernal1, Héctor Martínez-García1, Sergio Ibáñez-Pascual2, Elena Martínez-Villar1, Raquel Campos-Herrera2, Vicente Santiago Marco-Mancebón1, Ignacio Pérez-Moreno1.
Abstract
Conservative techniques, such as ground cover management, could help promote viticulture sustainability, which is a goal of conservation biological control, by providing shelter and food sources for predatory insects. A field experiment was conducted in a Mediterranean vineyard to evaluate ground cover management impacts on predatory insect and potential grapevine pest abundance and diversity, both on the ground and in the grapevine canopy. Three different ground cover management techniques (tillage, spontaneous cover and flower-driven cover) were tested for two years (2016 and 2017). Overall, the ground cover management significantly affected the abundance of important epigeal predators, of which carabids, forficulids and staphylinids were the most captured. The carabid abundances under both the cover crop treatments were found to be approximately three times higher compared with that under the tillage treatment. In contrast, the canopy insect abundance in the vineyard was similar among the treatments for both the predators and the potential grapevine pest species. These results indicate that cover crop vegetation can be used in vineyards to enhance predatory insect abundance and may improve agroecosystem resilience.Entities:
Keywords: abundance; cover crop; diversity; natural enemies; pests; tillage; vineyard
Year: 2019 PMID: 31771137 PMCID: PMC6956331 DOI: 10.3390/insects10120421
Source DB: PubMed Journal: Insects ISSN: 2075-4450 Impact factor: 2.769
Two-way ANOVA results of the total abundance of the main predator families and the total potential grapevine pests on the ground. Significant differences are highlighted in bold.
| Taxa | Year | Treatment | Year × Treatment |
|---|---|---|---|
| Carabidae | F1,16 = 25.33, | F2,16 = 17.06; | F2,16 = 1.35; |
| Forficulidae | F1,16 = 0.14; | F2,16 = 11.79; | F2,16 = 2.03; |
| Staphylinidae | F1,16 = 2.99; | F2,16 = 1.00; | F2,16 = 0.03; |
| Potential pests | F1,16 = 0.72; | F2,16 = 3.11; | F2,16 = 0.01; |
Figure 1Effects of soil management on the total abundance of the predator families on the ground: (A) Carabidae; (B) Forficulidae; (C) Staphylinidae; and (D) potential grapevine pests on the ground. Values are mean (± standard error). The left bar of each couplet represents data in 2016, and the right bar represents data in 2017. Different letters indicate significant differences between the treatments, by two-way ANOVA and a Tukey’s HSD test (α = 0.05).
Two-way ANOVA results of the total abundance of the Carabidae genera captured on the ground. Significant differences are highlighted in bold.
| Genus | Year | Treatment | Year × Treatment |
|---|---|---|---|
|
| F1,16 = 68.39, | F2,16 = 18.31; | F2,16 = 9.19; |
|
| F1,16 = 3.18; | F2,16 = 0.59; | F2,16 = 0.74; |
|
| F1,16 = 2.16; | F2,16 = 2.67; | F2,16 = 0.40; |
|
| F1,16 = 8.38; | F2,16 = 23.22; | F2,16 = 5.06; |
|
| F1,16 = 22.13; | F2,16 = 7.83; | F2,16 = 0.09; |
|
| F1,16 = 0.67; | F2,16 = 2.21; | F2,16 = 0.31; |
|
| F1,16 = 0.24; | F2,16 = 6.77; | F2,16 = 0.70; |
|
| F1,16 = 9.35; | F2,16 = 6.77; | F2,16 = 6.23; |
|
| F1,16 = 0.80; | F2,16 = 4.90; | F2,16 = 1.61; |
Figure 2Carabidae genera captured on the ground: (A) Nebria; (B) Steropus; (C) Brachinus; (D) Amara; (E) Harpalus; (F) Ophonus; (G) Dixus; (H) Calathus; and (I) Microlestes. Values are mean (± standard error). The left bar of each couplet represents data in 2016, and the right bar represents data in 2017. Different letters indicate significant differences between the treatments, by two-way ANOVA and a Tukey’s HSD test (α = 0.05).
Two-way ANOVA results of the total abundance of the main predator families and the total potential grapevine pests in the canopy. Significant differences are highlighted in bold.
| Taxa | Year | Treatment | Year × Treatment |
|---|---|---|---|
| Aeolothripidae | F1,18 = 0.32, | F2,18 = 0.74; | F2,18 = 0.56; |
| Chrysopidae | F1,18 = 0.95, | F2,18 = 0.07; | F2,18 = 1.36; |
| Cecidomyiidae | F1,18 = 0.01, | F2,18 = 2.43; | F2,18 = 1.08; |
| Coccinellidae | F1,18 = 1.06, | F2,18 = 0.94; | F2,18 = 1.46; |
| Potential pests | F1,18 = 23.22, | F2,18 = 1.31; | F2,18 = 1.27; |
Figure 3Effect of soil management on the total abundance of the predator families in the canopy: (A) Aeolothripidae; (B) Chrysopidae; (C) Cecidomyiidae; (D) Coccinellidae; and (E) potential grapevine pests in the grapevine canopy. Values are mean (± standard error). The left bar of each couplet represents data in 2016, and the right bar represents data in 2017.
Figure 4Population dynamics of predators on the ground (A) and in the grapevine canopy (B). An asterisk indicates significant differences between treatments, by ANOVA and Tukey-HSD test (α = 0.05).
Figure 5Population dynamics of potential grapevine pests in the grapevine canopy in 2016 (A) and 2017 (B). An asterisk indicates significant differences between treatments, by ANOVA and Tukey-HSD test (α = 0.05).
Hill numbers of the predatory and the potential pest insects, both on the ground and at the canopy level. Data are shown as mean (± standard error).
| Observed Diversity (qD) | Tillage | Spontaneous Cover | Flower-Driven Cover | |
|---|---|---|---|---|
|
| ||||
| Carabidae | 0D | 11.5 (1.33) a | 20.25 (1.44) b | 16.20 (3.06) ab |
| 1D | 6.89 (1.30) a | 10.16 (1.30) a | 7.32 (1.42) a | |
| 2D | 4.88 (1.14) a | 6.95 (1.29) a | 4.86 (1.10) a | |
| Forficulidae | 0D | 1.00 (0.00) a | 1.00 (0.00) a | 1.00 (0.00) a |
| 1D | 1.00 (0.00) a | 1.00 (0.00) a | 1.00 (0.00) a | |
| 2D | 1.00 (0.00) a | 1.00 (0.00) a | 1.00 (0.00) a | |
| Staphylinidae | 0D | 1.83 (0.54) a | 3.17 (0.79) a | 3.00 (0.73) a |
| 1D | 1.79 (0.54) a | 2.70 (0.60) a | 2.71 (0.63) a | |
| 2D | 1.76 (0.54) a | 2.40 (0.50) a | 2.50 (0.60) a | |
| Potential pests | 0D | 0.17 (0.17) ab | 0.83 (0.31) b | 0.00 (0.00) a |
| 1D | 0.17 (0.17) ab | 0.83 (0.31) b | 0.00 (0.00) a | |
| 2D | 0.17 (0.17) ab | 0.83 (0.31) b | 0.00 (0.00) a | |
|
| ||||
| Aeolothripidae | 0D | 2.33 (0.49) a | 2.00 (0.36) a | 2.16 (0.31) a |
| 1D | 2.11 (0.41) a | 1.88 (0.33) a | 1.97 (0.32) a | |
| 2D | 1.98 (0.36) a | 1.80 (0.30) a | 1.85 (0.32) a | |
| Chrysopidae | 0D | 0.67 (0.21) a | 0.83 (0.17) a | 0.67 (0.21) a |
| 1D | 0.67 (0.21) a | 0.83 (0.17) a | 0.67 (0.21) a | |
| 2D | 0.67 (0.21) a | 0.83 (0.17) a | 0.67 (0.21) a | |
| Cecidomyiidae | 0D | 0.83 (.031) a | 1.33 (0.49) a | 2.17 (0.31) a |
| 1D | 0.81 (0.29) a | 1.27 (0.48) a | 2.11 (0.31) a | |
| 2D | 0.80 (0.28) a | 1.23 (0.47) a | 2.08 (0,32) a | |
| Coccinellidae | 0D | 0.67 (0.21) a | 0.83 (0.17) a | 0.67 (0.21) a |
| 1D | 0.67 (0.21) a | 0.83 (0.17) a | 0.67 (0.21) a | |
| 2D | 0.67 (0.21) a | 0.83 (0.17) a | 0.60 (0.28) a | |
| Potential pests | 0D | 1.17 (0.17) a | 1.17 (0.17) a | 1.00 (0.00) a |
| 1D | 1.06 (0.06) a | 1.17 (0.17) a | 1.00 (0.00) a | |
| 2D | 1.03 (0.03) a | 1.17 (0.17) a | 1.00 (0.00) a | |
Different letters indicate significant differences between the treatments, by two-way ANOVA and a Tukey’s HSD test (α = 0.05).