| Literature DB >> 33923424 |
Silvana Francesca1, Valerio Cirillo1, Giampaolo Raimondi1, Albino Maggio1, Amalia Barone1, Maria Manuela Rigano1.
Abstract
Abiotic stresses adversely affect crop production causing yield reductions in important crops, including tomato (Solanum lycopersicum L.). Among the different abiotic stresses, drought is considered to be the most critical one, since limited water availability negatively impacts plant growth and development, especially in arid and semi-arid areas. The aim of this study was to understand how biostimulants may interact with critical physiological response mechanisms in tomato under limited water availability and to define strategies to improve tomato performances under drought stress. We investigated the physiological responses of the tomato genotype 'E42' grown in open fields under optimal conditions (100% irrigation) and limited water availability (50% irrigation) treated or not with a novel protein hydrolysate-based biostimulant (CycoFlow, Agriges, BN, Italy). Plants treated with the protein hydrolysate showed a better water status and pollen viability, which also resulted in higher yield under drought stress compared to untreated plants. The treatment with the biostimulant had also an effect on antioxidant contents and activity in leaves and fruits depending on the level of irrigation provided. Altogether, these results indicate that the application of protein hydrolysates on tomato improved plant performances under limited water availability and in different experimental fields.Entities:
Keywords: fruit set; glycine betaine; pollen viability; proline; water shortage; yield
Year: 2021 PMID: 33923424 PMCID: PMC8073256 DOI: 10.3390/plants10040783
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Figure 1Pollen viability (a); number of fruits per plant (b); average fruit weight (c) and yield per plant (d) in the tomato genotype ‘E42’ grown in open field in Battipaglia under optimal (100% irrigation) and limited water availability (50% irrigation) and treated (biostimulant) or not (control) with the biostimulant. Values are mean ± SE. Asterisks indicate significant effect of limited water availability (W), biostimulant treatment (B) and their interaction (W × B) according to ANOVA (ns = not significant; * = p < 0.05; ** = p < 0.01; *** = p < 0.001). Different letters indicate significant differences based on Duncan’s test (p ≤ 0.05).
Pollen viability, average fruit weight, number of fruits per plant, yield per plant and shoot fresh weight (mean ± SD) in the tomato genotype ‘E42’ treated (biostimulant) or not (control) with the protein hydrolysate and grown in Benevento in the year 2020. Asterisks indicate significant differences according to Student’s t-test (** = p < 0.01; *** = p < 0.001).
| Control | Biostimulant | Significance | |
|---|---|---|---|
| Pollen viability (%) | 48 ± 0.30 | 53 ± 0.15 | *** |
| Average fruit weight (g) | 9.69 ± 0.0017 | 9.08 ± 0.0003 | *** |
| Number of fruits | 61.87 ± 18.29 | 139.53 ± 25.77 | *** |
| Yield (kg pt−1) | 0.60 ± 0.18 | 1.27 ± 0.23 | *** |
| Shoot FW (g) | 578.33 ± 160.68 | 966.67 ± 208.77 | ** |
Figure 2Stomatal conductance (a); and leaf water potential (MPa) (b); in the tomato genotype ‘E42’ grown in open field in Battipaglia under optimal (100% irrigation) and limited water availability (50% irrigation) and treated (biostimulant) or not (control) with the biostimulant. Values are mean ± SE. Asterisks indicate significant effect of limited water availability (W), biostimulant treatment (B) and their interaction (W × B) according to ANOVA (ns = not significant; * = p < 0.05; ** = p < 0.01; *** = p < 0.001). Different letters indicate significant differences based on Duncan’s test (p ≤ 0.05).
Figure 3Total (a) and reduced (Red) (b) ascorbic acid (AsA) content and total antioxidant activity (FRAP) (c) in leaves of tomato genotype ‘E42’ grown in open field in Battipaglia under optimal (100% irrigation) and limited water availability (50% irrigation) and treated (biostimulant) or not (control) with the biostimulant. Values are mean ± SE. Asterisks indicate significant effect of limited water availability (W), biostimulant treatment (B) and their interaction (W × B) according to ANOVA (ns = not significant; * = p < 0.05; ** = p < 0.01; *** = p < 0.001). Different letters indicate significant differences based on Duncan’s test (p ≤ 0.05).
Figure 4Content of (a) carotenoids and (b) lycopene in fruit of the tomato genotype ‘E42’ grown in open field in Battipaglia under optimal (100% irrigation) and limited water availability (50% irrigation) and treated (biostimulant) or not (control) with the biostimulant. Values are mean ± SE. Asterisks indicate significant effect of limited water availability (W), biostimulant treatment (B) and their interaction (W × B) according to ANOVA (ns = not significant; * = p < 0.05; ** = p < 0.01; *** = p < 0.001). Different letters indicate significant differences based on Duncan’s test (p ≤ 0.05).
Figure 5Heat map analysis summarizing plant responses to biostimulant application and water deficit in plants grown in Battipaglia under optimal (100) and limited water availability (50) and treated (BIO) or not (CTRL) with the protein hydrolysate. The letters in brackets indicate measurements taken from leaves (l) and fruits (f). The Figure was generated using the http://biit.cs.ut.ee/clustvis (accessed on 1 April 2021) program package with Euclidean distance as the similarity measure and hierarchical clustering with complete linkage.