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11 results for “strawberry plant”
Figure 1 in Use of homeophathic preparations for red spider mite, Tetranychus urticae (Acari: Tetranychidae) control in strawberry plants
Figure 1. Degree of a) Incidence, and b) severity caused by T. urticae in strawberry plants 30 and 60 days after applying the treatments: Distilled water (Ctl); 6 and 30 CH Strawberry leaves homeopathic (Agroh); 6 and 30 CH Bovista (Bov); 6 and 30 CH Belladonna (Bellad); 6 and 30 CH Arnica (Árni) and 6 and 30 CH Ferrum sulphuricum (FS). Treatments with the same letter are not significantly different between them (p <0.05) (n = 8).
Microbiome network connectivity and composition linked to disease resistance in strawberry plants
<p>The two R data files correspond phyloseq objects used in the study. The file phyloseq_nochim_silva.RData and phyloseq_nochim_unite.RData correspond to bacterial and fungal phyloseq objects, respectively. Both objects include count table, taxonomy table and metadata information. </p>
Tarnished plant bug and eastern bumble bee in strawberry
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Fig. 4 in Latilactobacillus fragifolii sp. nov., isolated from leaves of a strawberry plant (Fragaria x ananassa)
Fig. 4. Presence of known haem-dependent and manganese-dependent catalase encoding genes in five reference genomes of the genus Latilactobacillus and AMBP162T. Analysis was done by comparing the four known catalase genes from lactic acid bacteria against all predicted proteins from the six Latilactobacillus genomes using BLASTp.
Fig. 2 in Latilactobacillus fragifolii sp. nov., isolated from leaves of a strawberry plant (Fragaria x ananassa)
Fig. 2. Core genome phylogenetic tree of the genus Latilactobacillus. Genes were predicted with Prodigal version 2.6.3 [33] and core genes were determined, aligned and concatenated with SCARAP version 7cd24ba [16]. 662 strict core genes were found. Columns with one or more gaps were trimmed from the alignment with trimAl version 1.4.rev15 [34]. A maximum-likelihood phylogeny was inferred with IQ-Tree version 1.6.11 [31], using the LG+F+I+G4 amino acid substitution model. Bootstrap support was determined with the SH-aLRT test with 1000 replicates and the UFboot test with 1000 replicates. Branches with an SH-aLRT support of at least 80% and UFboot support of at least 95% were considered reliable and were indicated with a dark blue dot. The tree was visualized with ggtree version 3.0.2 [32].
Fig. 3 in Latilactobacillus fragifolii sp. nov., isolated from leaves of a strawberry plant (Fragaria x ananassa)
Fig. 3. Light microscope image at ×1000 magnification of Gram-stained cells of AMBP162T grown for 24 h at 30 °C in de Man–Rogosa–Sharpe broth, shaking at 200 r.p.m.
Resistance mixtures reduce insect herbivory in strawberry (Fragaria vesca) plantings: leaf damage and yield data
<p>The transition towards more sustainable plant protection with reduced pesticide use is difficult, because there is no 'silver bullet' available among non-chemical tools. Integrating several plant protection approaches may thus be needed for efficient pest management. Recently, increasing the genetic diversity of plantations via cultivar mixing has been proposed as a possible method to reduce pest damage. However, previous studies have not addressed either the relative efficiency of exploiting cultivar mixing and intrinsic plant herbivore resistance or the potential utility of combining these approaches to increase cropping security. Here, using a full factorial experiment with 60 woodland strawberry plots, we tested for the relative and combined effect of cultivar mixing and intrinsic plant resistance on herbivore damage and yield. The experiment comprised two levels of diversity ("high" with ten varieties and "low" with two varieties), and three levels of resistance ("resistant" comprising only varieties intrinsically resistant against strawberry leaf beetle <i>Galerucella tenella</i>; "susceptible" with susceptible varieties only; and "resistance mixtures" with 50:50 mixtures of resistant and susceptible varieties). The experiment was carried out over two growing seasons. Use of resistant varieties either alone or intermixed with susceptible varieties in "resistance mixtures" reduced insect herbivory. Interestingly, resistant varieties not only reduced the mean damage in "resistance mixtures" by themselves being less damaged, but also protected intermixed susceptible varieties via associational resistance. The effect of higher genetic diversity was less evident, reducing herbivory only at the highest level of herbivore damage. In general, herbivory was lowest in plots with high diversity that included at least some resistant varieties, and highest in low diversity plots consisting only of susceptible varieties. Despite this, no significant difference in yield (fruit biomass) was found, indicating that strawberry may be relatively tolerant. Our results demonstrate that combined use of high genetic diversity and resistant varieties can help reduce pest damage and provides a useful tool for sustainable food production. "Resistance mixtures" may be particularly useful for sensitive food crops where susceptible varieties are high-yielding that could not be completely replaced by resistant ones.</p>
Resistance mixtures reduce insect herbivory in strawberry (Fragaria vesca) plantings: leaf damage and yield data
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Data for: Combined effects of GBH residues and phosphate fertilizers on endophytic microbiota and plant performance of garden strawberry
<p>Aims: In a field study, the effects of treatments of glyphosate-based herbicides (GBHs) in soil, alone and in combination with phosphate fertilizer, were examined on the performance and endophytic microbiota of garden strawberry. </p> <p>Methods and results: The root and leaf endophytic microbiota of garden strawberries grown in GBH-treated and untreated soil, with and without phosphate fertilizer were analyzed. Next, bioinformatics analysis on the type of 5-enolpyruvylshikimate-3-phosphate synthase enzyme was conducted to assess the potential sensitivity of strawberry-associated bacteria and fungi to glyphosate, and to compare the results with field observations. GBH treatments altered the abundance and/or frequency of several operational taxonomic units (OTUs), especially those of root-associated fungi and bacteria. These changes were partly related to their sensitivity to glyphosate. Still, GBH treatments did not shape the overall community structure of strawberry microbiota or affect plant performance. Phosphate fertilizer increased the abundance of both glyphosate-resistant and glyphosate-sensitive bacterial OTUs, regardless of the GBH treatments.</p> <p>Conclusions: These findings demonstrate that although the overall community structure of strawberry endophytic microbes is not affected by GBH use, some individual taxa are.</p> <p>Significance and impact of study: Agrochemical residues in soil can shape the endophytic microbiota in crop plants.</p>
Data for: Combined effects of GBH residues and phosphate fertilizers on endophytic microbiota and plant performance of garden strawberry
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Fig. 1. 16S in Latilactobacillus fragifolii sp. nov., isolated from leaves of a strawberry plant (Fragaria x ananassa)
Fig. 1. 16S rRNA tree of the genus Latilactobacillus Reference genomes for five species of Latilactobacillus and the outgroup species Paralactobacillus selangorensis were determined from the Genome Taxonomy Database release 89 [18] and downloaded from the NCBI. The in-house-sequenced genome of strain AMBP162T was added. 16S rRNA sequences were extracted from whole genome sequences using Barrnap version 0.9 [29] and aligned with MAFFT version 7.407 [30]. A maximum-likelihood phylogeny was inferred with IQ-Tree version 1.6.12 [31], using a TN+F+I nucleotide substitution model. The tree was visualized with ggtree version 3.0.2 [32].
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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