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406 results for “plant growth”

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dryad36/100

Standing and shed litters alter plant growth in disturbed and undisturbed soils differently

Plant species affect key ecosystem processes like nutrient cycling and overall ecosystem productivity through their litter. The outcome of litter effects is largely determined by its decomposability, which directly effects soil properties. If litter remains standing or unshed (i.e. marcescent), its final decomposability can be increased by photodegradation of recalcitrant structures (like lignin). If the litter is immediately shed, its decomposability largely depends on its original nutrient content. Moreover, plant species may affect soil also through other, more direct effects. It is however unknown whether marcescent and immediately shed litters affect soil, and by that plants, differently, whether direct effects of plants on soil interact with those of marcescent and shed litters, and whether these interactions are consistent under different soil conditions. We set up a pot experiment, where we tested the effects of originally marcescent and shed litters (both added on the soil surface of the pots) on three grassland species (Bromus erectus, Filipendula vulgaris, and Plantago media) in contrasting soils from long-term stable ancient grassland and grassland restored on arable land 20 years before. We also tested how litter types and plant species affect soil chemical properties and microbial community (characterised by PLFA markers). Marcescent litter contained a lower amount of nutrients, but still increased plant biomass more than shed litter, although only for F. vulgaris (likely due to mobilisation of soil nutrients). The effect of litter on soil chemical properties and microbial community was low. These were largely affected by the plant species growing in the pot. The effect of these species on the microbial community was stronger in the undisturbed soil of ancient grasslands, while plant species affected mainly chemical properties in disturbed soil of restored grasslands. B. erectus slowed down the decomposition of both litter types in restored grassland soil. The effect of marcescent litter on living plants was significant but species-specific and depended on soil conditions. Marcescence seems to have a stronger effect on plants in disturbed soil, which indicates its importance for recovery of the ecosystem after disturbance.

opencc-zeroApr 2024View details →

dryad36/100

Effects of eCO2 on plant growth and pollen chemistry in 14 angiosperms

Elevated atmospheric carbon dioxide (eCO2) can affect plant growth and physiology, which can, in turn, impact herbivorous insects, including by altering pollen or plant tissue nutrition. Previous research suggests that eCO2can reduce pollen nutrition in some species, but it is unknown whether this effect is consistent across flowering plant species. We experimentally quantified the effects of eCO2 across multiple flowering plant species on plant growth in 9 species and pollen chemistry (%N an estimate for protein content and nutrition in 12 species; secondary chemistry in 5 species) in greenhouses. For pollen nutrition, only buckwheat significantly responded to eCO2, with %N increasing in eCO2; CO2 treatment did not affect pollen amino acid composition but altered secondary metabolites in buckwheat and sunflower. Plant growth under eCO2 exhibited two trends across species: plant height was taller in 44% of species and flower number was affected for 63% of species (3 species with fewer and 2 species with more flowers). The remaining growth metrics (leaf number, above-ground biomass, flower size, and flowering initiation) showed divergent, species-specific responses, if any. Our results indicate that future eCO2 is unlikely to uniformly change pollen chemistry or plant growth across flowering species but may have the potential to alter ecological interactions, or have particularly important effects on specialized pollinators.

opencc-zeroJun 2024View details →

zenodo36/100

Figure 2 in Plant growth promoting bacteria drive food security

Figure 2. Screening steps to obtain efficient bioinoculants.

opencc-by-4.0Dec 2022View details →

zenodo36/100

Figure 1 in Plant growth promoting bacteria drive food security

Figure 1. Mode of actions of PGPB.

opencc-by-4.0Dec 2022View details →

zenodo36/100

Plant Growth Regulators in Barley in Northern Grains Region Australia

Project title: NGN Validating the use of plant growth regulators to manage excessive growth in barley in Northern Region warm growing environments (2022-24, AMP2205-004RTX).  Methodology: Seven barley PGR trials were run in 2022-23 at a range of locations in northern NSW. In 2022, three trials assessed PGRs Moddus Evo® (250 g/L Trinexapac-Ethyl) and ethephon (Promote® Plus 900, 900 g/L Ethephon) and a range of use patterns across 4 barley varieties. Following high levels of lodging in 2022, four trials in 2023 quantifed the impact of PGR treatments on different varieties, times of sowing and nitrogen levels.   Four varieties – Leabrook, Laperouse, Planet, Maximus CL – were selected to represent the range of lodging susceptibilities in commercial barley varieties. Moddus Evo® and ethephon use patterns were tested to allow for early and late control of barley biomass production as well as bounce back, where compensatory growth occurs under favourable conditions following a PGR application (Table 1). <a name="_Ref165987766"></a>Table 1. PGR use patterns tested on dryland barley in 2022 and 2023 <table> <tbody> <tr> <td>   </td> <td> Application 1 </td> <td> Application 2 </td> </tr> </tbody> <tbody> <tr> <td> PGR Treatment Name </td> <td> PGR </td> <td> Rate (ml) </td> <td> GS </td> <td> PGR </td> <td> Rate (ml) </td> <td> GS </td> </tr> <tr> <td> Moddus 31 </td> <td> Moddus Evo® </td> <td> 400 </td> <td> 31 </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> Moddus 300 @ 31 </td> <td> Moddus Evo® </td> <td> 300 </td> <td> 31 </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> Moddus 37 </td> <td> Moddus Evo® </td> <td> 400 </td> <td> 37 </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> Moddus 31 + 37 </td> <td> Moddus Evo® </td> <td> 400 </td> <td> 31 </td> <td> Moddus Evo® </td> <td> 400 </td> <td> 37 </td> </tr> <tr> <td> Ethephon 41 </td> <td> Ethephon* </td> <td> 400 </td> <td> 41 </td> <td>   </td> <td>   </td> <td>   </td> </tr> <tr> <td> Ethephon 45 </td> <td> Ethephon* </td> <td> 400 </td> <td> 45 </td> <td>   </td> <td>   </td> <td>   </td> </tr> </tbody> </table> GS=Growth Stage; 900 g/L Ethephon In 2022, the impact of PGR treatments (n=6) on four barley varieties were tested at three locations in northern NSW (Table 2 and Table 3). 1.    At Boomi and Gurley a variety (n=4) by PGR strategy (n=5) full factorial plot trial was established. Due to high rainfall and subsequent waterlogging the trial planted at Boomi failed to establish. 2.    At Tulloona a trial was established to replace the failed Boomi trial. PGR treatments (n=5) were applied over a commercial crop of Planet barley in a randomised complete block design. 3.    At Spring Ridge, a partial factorial experiment assessing varieties (n=4) was established with 6 PGR treatments. In 2023 trial sites were established at Boomi, Gurley, Pallamallawa and Breeza. 4. At Boomi full replicated randomised incomplete block design trials assessed the impact of time of sowing (n=2, early and mid time of sowing) and PGRs (n=6) for four barley cultivars. For the first time of sowing, PGRs (n=6) were applied to four varieties; Leabrook, Laperouse, Planet and Maximus CL, at the second time of sowing PGRs were only applied to lodging susceptible variety Leabrook. 5. At Gurley, the same trial was repeated as describe above for Boom 6. At Breeza, the four barley cultivars were tested with six PGR treatments with one time of sowing only. 7. At Pallamallawa, Leabrook was planted with four nitrogen rates (0, 75, 150 and 250 kg N/ha) applied as urea-N and six PGR treatments were applied. This trial failed due to residual herbicide damage and thus the results from this trial are not presented in this report. Consequently, yield responses to PGR treatment under a range of nitrogen levels was unable to be captured in this project. Seasonal conditions in 2022 and 2023 differed markedly for both in-crop temperatures and rainfall. In 2022, cooler than average spring maximum temperatures were experienced at Tulloona and Gurley while at Spring Ridge maximum spring temperatures were warmer than average. In contrast, in 2023 maximum winter and spring temperatures were 1.5⁰C higher than monthly averages between June and October (Appendix A). There were large differences in annual and growing season rainfall (May-October, GSR) between 2022 and 2023 (Table 4). In 2022, annual rainfall was 62-241mm above the long term average while in 2023 annual rainfall was 163-195mm below the long-term average. More importantly, were the differences in growing season rainfall. In 2022 growing season rainfall was 202-242mm above average (Decile 10) while in 2023 it was 136-175mm below average (Decile 1). However, high levels of soil water in 2023 compensated for the lack of in-crop rain. <a name="_Ref167779013"></a>Table 4. Plant available water and rainfall data for barley PGR trials in 2022 and 2023 <table> <tbody><tr> <td> Site </td> <td> Trial </td> <td> Planting PAW (mm) </td> <td> Annual rainfall (mm) </td> <td> Annual rainfall (mm) </td> <td> Growing season rainfall (mm)* </td> <td> Growing season rainfall (mm)* </td> </tr> </tbody><tbody> <tr> <td>   </td> <td>   </td> <td>   </td> <td> Year of trial </td> <td> Long Term Average </td> <td> Year of trial </td> <td> Long Term Average </td> </tr> <tr> <td> Tulloona </td> <td> PGR over commercial crop </td> <td> 165 </td> <td> 754 </td> <td> 548 </td> <td> 456 </td> <td> 214 </td> </tr> <tr> <td> Gurley </td> <td> PGR x Variety </td> <td> 165 </td> <td> 622 </td> <td> 560 </td> <td> 406 </td> <td> 204 </td> </tr> <tr> <td> Spring Ridge </td> <td> PGR x Variety </td> <td> 202 </td> <td> 870 </td> <td> 629 </td> <td> 465 </td> <td> 254 </td> </tr> <tr> <td> Boomi </td> <td> PGR x Variety x 2 Times of Sowing </td> <td> 201 </td> <td> 367 </td> <td> 543 </td> <td> 50 </td> <td> 201 </td> </tr> <tr> <td> Gurley </td> <td> PGR x Variety x 2 Times of Sowing </td> <td> 198 </td> <td> 365 </td> <td> 560 </td> <td> 68 </td> <td> 204 </td> </tr> <tr> <td> Breeza </td> <td> PGR x Variety </td> <td> 253 </td> <td> 484 </td> <td> 647 </td> <td> 122 </td> <td> 265 </td> </tr> <tr> <td> Pallamallawa# </td> <td> PGR x Nitrogen </td> <td> 171 </td> <td> 459 </td> <td> 641 </td> <td> 58 </td> <td> 233 </td> </tr> </tbody> </table> *Measured as rainfall from May to October, #Trial failed due to residual herbicide damage Plant height was measured during early grain fill in each replicate from ground level to the top of the spike excluding awns of the main tiller. Lodging was scored visually with a 0 for no lodging and 10 for 100% of the crop completely lodged and flat against the ground. In 2023 no lodging was evident at Boomi, Gurley or Pallamallawa thus scores were not recorded. Biomass cuts were taken at GS 30, GS 55 and GS 99 at 30mm above ground level with 1 x 0.5m quadrat.

opencc-by-4.0Jun 2024View details →

zenodo36/100

MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset2

This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034

opencc-by-4.0May 2018View details →

zenodo36/100

Data from: Assessing the effect of tissue and fire-response traits on plant growth rates post-disturbance in Eastern Australia

Here is the necessary code and data to reproduce results published in 'Assessing the effect of tissue and fire-response traits on plant growth rates post-disturbance in Eastern Australia'.

opencc-by-4.0Oct 2024View details →

zenodo36/100

Dataset: Effects of dietary exposure to plant toxins on bioaccumulation, survival, and growth of black soldier fly (Hermetia illucens) larvae and lesser mealworm (Alphitobius diaperinus) [larval performance]

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opencc-by-4.0Oct 2024View details →

zenodo36/100

Dataset: Effects of dietary exposure to plant toxins on bioaccumulation, survival, and growth of black soldier fly (Hermetia illucens) larvae and lesser mealworm (Alphitobius diaperinus) [concentrations]

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opencc-by-4.0Oct 2024View details →

dryad36/100

Data from: Adaptive diversification of growth allometry in the plant Arabidopsis thaliana

Seed plants vary tremendously in size and morphology. However, variation and covariation between plant traits may at least in part be governed by universal biophysical laws and biological constants. Metabolic Scaling Theory (MST) posits that whole-organismal metabolism and growth rate are under stabilizing selection that minimizes the scaling of hydrodynamic resistance and maximizes the scaling of resource uptake. This constrains variation in physiological traits and in the rate of biomass accumulation, so that they can be expressed as mathematical functions of plant size with near constant allometric scaling exponents across species. However, observed variation in scaling exponents questions the evolutionary drivers and the universality of allometric equations. We have measured growth scaling and fitness traits of 451 Arabidopsis thaliana accessions with sequenced genomes. Variation among accessions around the scaling exponent predicted by MST correlated with relative growth rate, seed production and stress resistance. Genomic analyses indicate that growth allometry is affected by many genes associated with local climate and abiotic stress response. The gene with the strongest effect, PUB4, has molecular signatures of balancing selection, suggesting that intraspecific variation in growth scaling is maintained by opposing selection on the trade-off between seed production and abiotic stress resistance. Our findings support a core MST prediction and suggest that variation in allometry contributes to local adaptation to contrasting environments. Our results help reconcile past debates on the origin of allometric scaling in biology, and begin to link adaptive variation in allometric scaling to specific genes.

opencc-zeroDec 2017View details →

dryad36/100

Biotic and anthropogenic forces rival climatic/abiotic factors in determining global plant population growth and fitness

Multiple, simultaneous environmental changes, in climatic/abiotic factors, in interacting species, and in direct human influences, are impacting natural populations and thus biodiversity, ecosystem services, and evolutionary trajectories. Determining whether the magnitudes of the population impacts of abiotic, biotic, and anthropogenic drivers differ, accounting for their direct effects and effects mediated through other drivers, would allow us to better predict population fates and design mitigation strategies. We compiled 644 paired values of the population growth rate (lambda) from high and low levels of an identified driver from demographic studies of terrestrial plants. Among abiotic drivers, natural disturbance (not climate), and among biotic drivers, interactions with neighboring plants had the strongest effects on lambda. However, when drivers were combined into the three main types, their average effects on lambda did not differ. For the subset of studies that measured both the average and variability of the driver, lambda was more sensitive to one standard deviation of change in abiotic drivers relative to biotic drivers, but sensitivity to biotic drivers was still substantial. Similar impact magnitudes for abiotic/biotic/anthropogenic drivers holds for plants of different growth forms, for different latitudinal zones, and for biomes characterized by harsher or milder abiotic conditions, suggesting that all three drivers have equivalent impacts across a variety of contexts. Thus the best available information about the integrated effects of drivers on all demographic rates provides no justification for ignoring drivers of any of these three types when projecting ecological and evolutionary responses of populations and of biodiversity to environmental changes.

opencc-zeroDec 2019View details →

dryad36/100

Hydraulic prediction of drought-induced plant dieback and top-kill depends on leaf habit and growth form

Hydraulic failure caused by severe drought contributes to aboveground dieback and whole-plant death. The extent to which dieback or whole-plant death can be predicted by plant hydraulic traits has rarely been tested among species with different leaf habits and/or growth forms. We investigated 19 hydraulic traits in 40 woody species in a tropical savanna and their potential correlations with drought response during an extreme drought event during the El Niño–Southern Oscillation in 2015. Plant hydraulic trait variation was partitioned substantially by leaf habit but not growth form along a trade-off axis between traits that support drought tolerance versus avoidance. Semi-deciduous species and shrubs had the highest branch dieback and top-kill (complete aboveground death) among the leaf habits or growth forms. Dieback and top-kill were well explained by combining hydraulic traits with leaf habit and growth form, suggesting integrating life history traits with hydraulic traits will yield better predictions.

opencc-zeroDec 2020View details →

zenodo36/100

Dominant plant species in different growth form categories in various ecosystem types

The table contains a list of vegetation parameter values of dominant plant species in different growth form categories in various ecosystem types based on their importance value indices (IVI) (max. IVI for tree and pole category = 300; max. IVI for sapling and seedling category = 200) in Bantimurung Bulusaraung National Park (BBNP) and Hasanuddin University Educational Forest (HUEF), South Sulawesi.

opencc-by-4.0Jul 2021View details →

zenodo36/100

Dominant plant species in different growth form categories in various ecosystem types

opencc-by-4.0Jul 2021View details →

dryad36/100

Mycorrhizal fungi alter root exudation to cultivate a beneficial microbiome for plant growth

Arbuscular mycorrhizal (AM) fungi traditionally form symbioses with most plant species. Although AM fungi have critical effects on microbial communities, the pathways showing how AM fungi shape rhizosphere bacterial communities and their functions are rarely explored. Through three systematic experiments, AM fungi-bacteria interactions were first investigated in the rhizosphere of Lotus japonicus, then the interactions were confirmed by a second experiment with wild-type and a mycorrhiza-defective mutant ljcbx of L. japonicus. The mechanisms were presented by adding core bacteria and AM fungi to the plant rhizosphere with the third experiment. We found that AM fungi-bacteria interactions enhanced host plant growth and identified a core bacterial group that uniquely enhanced host plant growth. Adding core bacteria and AM fungi promoted host growth and nutrient acquisition compared to adding AM fungi or core bacteria independently. Allelopathic substances secreted by AM fungal colonizing host roots to recruit the rhizosphere bacteria were detected by the multi-omics joint analysis, showing that arachidonic acid was the main allelopathic substance that affected AM fungi–bacteria interactions. Our findings provide direct evidence that mycorrhizal infection simulated root exudation, such as arachidonic acid, recruited a beneficial microbiome to the host rhizosphere, increasing plant growth and soil nutrient turnover.

opencc-zeroDec 2022View details →

dryad36/100

A direct comparison of ecological theories for predicting the relationship between plant traits and growth

Despite long-standing theory for classifying plant ecological strategies, limited data directly links organismal traits to whole-plant growth rates. We compared trait-growth relationships based on three prominent theories: growth analysis, Grime's competitive-stress tolerant-ruderal (CSR) triangle, and the leaf economics spectrum (LES). Under these schemes, growth is hypothesized to be predicted by traits related to relative biomass investment, leaf structure or gas exchange, respectively. We also considered traits not included in these theories, but that might provide potential alternative best predictors of growth. In phylogenetic analyses of 30 diverse milkweeds (Asclepias spp.) and 21 morphological and physiological traits, growth rate (total biomass produced per day) varied 50-fold and was best predicted by biomass allocation to leaves (as predicted by growth analysis) and the CSR traits of leaf size and leaf dry matter content. Total leaf area and plant height were also excellent predictors of whole-plant growth rate. Despite two LES traits correlating with growth (mass-based leaf nitrogen and area-based leaf phosphorus contents), these were in the opposite direction predicted by LES, such that higher N and P contents corresponded to slower growth. The remaining LES traits (e.g., leaf gas exchange) were not predictive of plant growth rates. Overall, differences in growth rate were driven more by whole-plant characteristics such as biomass fractions and total leaf area than individual leaf-level traits such as photosynthetic rate or specific leaf area. Our results are most consistent with classical growth analysis - combining leaf traits with whole-plant allocation to best predict growth. However, given that destructive biomass measures are often not feasible, applying easy-to-measure leaf traits associated with the CSR classification appear more predictive of whole plant growth than LES traits. Testing the generality of this result across additional taxa would further improve our ability to predict whole-plant growth from functional traits across scales.

opencc-zeroDec 2022View details →

zenodo36/100

Dataset of paper "Growth and prevalence of antibiotic-resistant bacteria in microplastic biofilm from wastewater treatment plant effluents"

Dataset of paper "Growth and prevalence of antibiotic-resistant bacteria in microplastic biofilm from wastewater treatment plant effluents": <ul> <li>Raw 16srRNA forward and reverse sequence data</li> <li>16srRNA partial sequence data for submission to public database</li> <li>Nucleotide BLAST result from National Centre of Biotechnology Information (NCBI) database</li> <li>Summary of sample metadata and bacterial colony forming units (CFUs)</li> <li>Summary of sample metadata and quantified genes</li> </ul>

opencc-by-4.0Feb 2023View details →

dryad36/100

Plant growth strategy determines the magnitude and direction of drought-induced changes in root exudates in subtropical forests

Root exudates are an important pathway for plant-microbial interactions and are highly sensitive to climate change. However, how extreme drought affects root exudates and the main components, as well as species-specific differences in response magnitude and direction, are poorly understood. In this study, root exudation rates of total carbon (C) and its components (e.g., sugar, organic acid, and amino acid) were measured under the control and extreme drought treatments (i.e., 70% throughfall reduction) by in situ collection of four tree species with different growth rates in a subtropical forest. We also quantified soil properties, root morphological traits, and mycorrhizal infection rates to examine the driving factors underlying variations in root exudation. Our results showed that extreme drought significantly decreased root exudation rates of total C, sugar, and amino acid by 17.8%, 30.8%, and 35.0%, respectively, but increased root exudation rate of organic acid by 38.6%, which were largely associated with drought-induced changes in tree growth rates, root morphological traits, and mycorrhizal infection rates. Specifically, trees with relatively high growth rates were more responsive to drought for root exudation rates compared to those with relatively low growth rates, which were closely related to root morphological traits and mycorrhizal infection rates. These findings highlight the importance of plant growth strategy in mediating drought-induced changes in root exudation rates. The co-ordinations among root exudation rates, root morphological traits, and mycorrhizal symbioses in response to drought could be incorporated into land surface models to improve the prediction of climate change impacts on rhizosphere C dynamics in forest ecosystems.

opencc-zeroMar 2023View details →

dryad36/100

Linking trait network parameters with plant growth across light gradients and seasons

1. Reduced light availability induced by eutrophication has dramatically affected the growth of submerged macrophytes and caused their rapid decline globally in lakes. Functional traits have usually been used to predict ecological processes and explain plant adaptation. Trait networks, which are constructed from a series of nodes (traits) and edges (trait-trait correlations), can reveal complex relationships among traits. Plant traits belonging to different organs are considered relevant for overall plant performance. Therefore, variation in trait network topology at the whole-plant level can better reflect plant adaptation and response to environments than traditional methods, but the mechanisms underlying the decline of plants from a trait network perspective are not well understood. 2. In this study, based on a one-year manipulation experiment for Potamogeton maackianus cultured with four levels of light intensity, we constructed trait networks from 20 traits belonging to different organs. 3. Our results showed that trait network connectivity decreases in harsh environments, probably due to increased trait modules responding independently to stress. Network connectivity was positively related to the plant relative growth rate (RGR), as high trait connectivity and coordination should be beneficial for plants to acquire and transport resources efficiently across the whole plant. Additionally, we found that specific stem length, leaf:root mass ratios, and leaf total nonstructural carbohydrates were hub traits with high connectivity. These hub traits expressed high phenotypic plasticity, had close links with plant growth, and consistently held their higher importance within the network across light gradients or seasons. 4. We found that low phenotypic integration in stressful environments may constrain plant growth, which can provide important implications for understanding plant adaptation strategies to low-light stress and even predicting community dynamics in the context of global environmental change.

opencc-zeroMar 2023View details →

dryad36/100

Data from: The effect of root-associated microbes on plant growth and chemical defence traits across two contrasted elevations,

Open the record for dataset details and reuse information.

publicJul 2020View details →

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Last verified 2026-04-29Open record