| Literature DB >> 31932626 |
Lin Ye1,2, Xia Zhao3,4, Encai Bao5, Jianshe Li4, Zhirong Zou6, Kai Cao5.
Abstract
The extensive use of chemical fertilizers poses serious collateral problems such as environmental pollution, pest resistance development and food safety decline. Researches focused on applying plant-beneficial microorganisms to partially replace chemical fertilizer use is increasing due to the requirement of sustainable agriculture development. Thus to investigate the possibility of a plant-beneficial Trichoderma strain and its bio-organic fertilizer product in saving chemical fertilizer application and in improving crop quality, a field trial and continuous pot experiments were carried out with tomato. Four treatments were set up: a reduced application of chemical fertilizer (75% of the conventional application) plus Trichoderma-enriched bio-organic fertilizer (BF), organic fertilizer (OF) or Trichoderma spore suspension (SS), with using the 100% rate of the conventional chemical fertilizer as the control (CF). The results showed that the total soluble sugar, Vitamin C and nitrate accumulations were, respectively, +up to 24%, +up to 57% and -up to 62% in the tomatoes of the BF treatment compared to those of the control (CF). And both of the pot and field trials revealed that reduced rates of chemical fertilizer plus bio-organic fertilizer produced tomato yields equivalent to those obtained using the 100% of the chemical fertilizer. However, application with the inoculant alone (SS) or combined with the organic fertilizer alone (OF) would lead to a yield decreases of 6-38% and 9-35% over the control. Since the increased abundance of soil microflora and the enhanced soil fertility frequently showed positive linear correlations especially in the BF-treated soils, we conclude that the efficacy of this bio-organic fertilizer for maintaining a stable tomato yield and improving tomato quality may be due to the improved soil microbial activity. Thus, the results suggest that the Trichoderma bio-organic fertilizer could be employed in combination with the appropriate rates of chemical fertilizers to get maximum benefits regarding yield, quality and fertilizer savings.Entities:
Mesh:
Substances:
Year: 2020 PMID: 31932626 PMCID: PMC6957517 DOI: 10.1038/s41598-019-56954-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Effect of different treatments on tomato yield in pot experiments and field trials.
| Treatmentsa | Pot Experiments (kg pot−1) | Field Trial | |||
|---|---|---|---|---|---|
| 1st Season | 2nd Season | 3rd Season | 4th Season | (kg plot−1) | |
| CF | 0.74 ± 0.06a | 0.22 ± 0.01b | 0.55 ± 0.01a | 0.23 ± 0.01a | 82.85 ± 3.71ab |
| BF | 0.77 ± 0.13a | 0.28 ± 0.02a | 0.55 ± 0.01ab | 0.25 ± 0.01a | 86.78 ± 8.76a |
| OF | 0.68 ± 0.05a | 0.16 ± 0.01c | 0.52 ± 0.01b | 0.18 ± 0.00b | 70.51 ± 6.76b |
| SS | 0.68 ± 0.12a | 0.18 ± 0.01c | 0.44 ± 0.03c | 0.17 ± 0.01b | — |
aCF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer; SS: 75% chemical fertilizer + spore suspension. The mean value ± standard deviation (n = 5). Values with the same letter do not differ significantly (P < 0.05).
Figure 1Effects of different treatments on tomato fruit quality in the open field. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer. Error bars represent the standard deviation calculated from 5 replicates. Bars followed by the same letter are not significantly different at P < 0.05.
Figure 2Effects of different treatments on tomato fruit quality with cropping seasons in the greenhouse. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer; SS: 75% chemical fertilizer + spore suspension. Error bars represent the standard deviation calculated from 5 replicates.
Figure 3Effects of different treatments on soil available nutrients in the open field. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer. Error bars represent the standard deviation calculated from 5 replicates. Bars followed by the same letter are not significantly different at P < 0.05.
Figure 4Effects of different treatments on soil available nutrients with cropping seasons in the greenhouse. (a) Soil ammonium-N; (b) Soil nitrate-N; (c) Soil available P; (d) Soil available K. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer; SS: 75% chemical fertilizer + spore suspension. Error bars represent the standard deviation calculated from 3 replicates.
Figure 5Effects of different treatments on soil total nutrients with cropping seasons in the greenhouse. (a) Soil organic matter; (b) Soil total N; (c) Soil total P; (d) Soil total K. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer; SS: 75% chemical fertilizer + spore suspension. The standard deviation (n = 3) was analyzed using a one-way ANOVA.
Figure 6Effects of different treatments on microbial abundance with cropping seasons in the greenhouse. (a) Total population of cultivable bacteria in pot soil; (b) Total population of cultivable fungi in pot soil; (c) Total population of cultivable actinomycetes in pot soil; (d) Total population of cultivable Trichoderma in pot soil. CF: 100% chemical fertilizer; BF: 75% chemical fertilizer + bio-organic fertilizer; OF: 75% chemical fertilizer + organic fertilizer; SS: 75% chemical fertilizer + spore suspension. Quantification of the total cultivable microorganisms in the soils was performed using the standard 10-fold dilution plating method via colony forming units (cfu) and expressed as its logarithm. The data fulfilled the prerequisites of one-way ANOVA.
Pearson correlations of soil nutrients and microbial abundance with tomato yield and quality.
| TN | TP | TK | OM | AN | NN | AP | AK | Bac | Fun | Act | Tri | Yield | Vc | TSS | NO3- | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TN | 1 | |||||||||||||||
| TP | 0.188 | 1 | ||||||||||||||
| TK | 0.115 | 0.967** | 1 | |||||||||||||
| OM | 0.821** | 0.463 | 0.309 | 1 | ||||||||||||
| AN | −0.496 | −0.233 | −0.216 | −0.352 | 1 | |||||||||||
| NN | 0.836** | 0.590* | 0.533* | 0.817** | 0.305 | 1 | ||||||||||
| AP | 0.920** | 0150 | 0.091 | 0.716** | −0.447 | 0.795** | 1 | |||||||||
| AK | 0.825** | 0.483 | 0.457 | 0.762** | −0.367 | 0.913** | 0.847** | 1 | ||||||||
| Bac | 0.777** | 0.478 | 0.358 | 0.772** | −0.683** | 0.714** | 0.712** | 0.677** | 1 | |||||||
| Fun | 0.516* | 0.247 | 0.236 | 0.398 | −0.733** | 0.480 | 0.504* | 0.423 | 0.647** | 1 | ||||||
| Act | 0.282 | 0.569* | 0.450 | 0.551* | −0.202 | 0.522* | 0.221 | 0.432 | 0.556* | 0.401 | 1 | |||||
| Tri | 0.198 | 0.327 | 0.334 | 0.138 | −0.616* | 0.269 | 0.205 | 0.289 | 0.370 | 0.660** | 0.568* | 1 | ||||
| Yield | −0.069 | −0.412 | −0.423 | −0.062 | −0.001 | −0.234 | 0.092 | 0.007 | −0.282 | −0.103 | −0.438 | −0.108 | 1 | |||
| Vc | 0.534 | −0.201 | −0.327 | 0.525* | −0.042 | 0.350 | 0.462 | 0.201 | 0.430 | 0.280 | 0.392 | −0.031 | −0.304 | 1 | ||
| TSS | 0.591* | 0.669** | 0.634** | 0.699** | −0.591* | 0.687** | 0.537* | 0.657** | 0.879** | 0.621* | 0.661** | 0.402 | −0.433 | 0.281 | 1 | |
| NO3- | −0.538* | 0.214 | 0.360 | −0.543* | 0.545* | −0.173 | −0.388 | −0.144 | −0.582* | −0.373 | −0.211 | −0.062 | −0.007 | −0.667** | −0.356 | 1 |
Abbreviations: TN, Soil total N; TP, Soil total P; TK, Soil total K; OM, Soil organic matter; AN, Soil ammonium-N; NN, Soil nitrate-N AP, Soil available P; AK, Soil available K; Bac, Soil bacteria population; Fun, Soil fungi population; Act, Soil actinomycetes population; Tri, Soil Trichoderma population; Yield, Yield of tomato; Vc, Vitamin C content of tomato fruit; TSS, Total soluble sugars content of tomato fruit; NO3-, NO3- content of tomato fruit. Correlations significant at the *P < 0.05 level and **P < 0.01 level (2-tailed).