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Relevant bibliographies by topics / Plant traits (PTs)

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Journal articles

Academic literature on the topic 'Plant traits (PTs)'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "Plant traits (PTs)"

1

Liu, Xiaoman, Xiaolei Zhao, Lijun Zhang, Wenjing Lu, Xiaojuan Li, and Kai Xiao. "TaPht1;4, a high-affinity phosphate transporter gene in wheat (Triticum aestivum), plays an important role in plant phosphate acquisition under phosphorus deprivation." Functional Plant Biology 40, no. 4 (2013): 329. http://dx.doi.org/10.1071/fp12242.

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An expressed sequence tag (EST) highly similar to BdPT1–4, a phosphate transporter (PT) gene in Brachypodium distachyon, was obtained in a wheat root cDNA subtractive suppression library containing genes that respond to low-phosphate (Pi) stress. The DNA sequence covering this EST (designated as TaPht1;4) was determined based on screening a wheat DNA library. TaPht1;4 consists of two exons and one intron and encodes a 555 amino acid (aa) polypeptide with a molecular weight of 60.85 kDa and an isoelectric point of 7.60. TaPht1;4 contains 12 conserved membrane-spanning domains similar to previou

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2

Koven, Charles D., Ryan G. Knox, Rosie A. Fisher, et al. "Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama." Biogeosciences 17, no. 11 (2020): 3017–44. http://dx.doi.org/10.5194/bg-17-3017-2020.

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Abstract. Plant functional traits determine vegetation responses to environmental variation, but variation in trait values is large, even within a single site. Likewise, uncertainty in how these traits map to Earth system feedbacks is large. We use a vegetation demographic model (VDM), the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), to explore parameter sensitivity of model predictions, and comparison to observations, at a tropical forest site: Barro Colorado Island in Panama. We define a single 12-dimensional distribution of plant trait variation, derived primarily from ob

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3

Verheijen, L. M., V. Brovkin, R. Aerts, et al. "Impacts of trait variation through observed trait-climate relationships on performance of a representative Earth System model: a conceptual analysis." Biogeosciences Discussions 9, no. 12 (2012): 18907–50. http://dx.doi.org/10.5194/bgd-9-18907-2012.

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Abstract. In current dynamic global vegetation models (DGVMs), including those incorporated into Earth System Models (ESMs), terrestrial vegetation is represented by a small number of plant functional types (PFTs), each with fixed properties irrespective of their predicted occurrence. This contrasts with natural vegetation, in which many plant traits vary systematically along geographic and environmental gradients. In the JSBACH DGVM, which is part of the MPI-ESM, we allowed three traits (specific leaf area (SLA), maximum carboxylation rate at 25 °C (Vcmax25) and maximum electron transport rat

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4

Butler, Ethan E., Abhirup Datta, Habacuc Flores-Moreno, et al. "Mapping local and global variability in plant trait distributions." Proceedings of the National Academy of Sciences 114, no. 51 (2017): E10937—E10946. http://dx.doi.org/10.1073/pnas.1708984114.

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Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been limited to grouping related species into plant functional types (PFTs), with all trait variation in a PFT collapsed into a single mean value that is applied globally. Using the largest global plant trait database and state of the art Bayesian modeling, we created fine-grained global maps of plant tr

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5

Meng, T. T., H. Wang, S. P. Harrison, I. C. Prentice, J. Ni, and G. Wang. "Responses of leaf traits to climatic gradients: adaptive variation vs. compositional shifts." Biogeosciences Discussions 12, no. 9 (2015): 7093–124. http://dx.doi.org/10.5194/bgd-12-7093-2015.

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Abstract. Dynamic global vegetation models (DGVMs) typically rely on plant functional types (PFTs), which are assigned distinct environmental tolerances and replace one another progressively along environmental gradients. Fixed values of traits are assigned to each PFT; modelled trait variation along gradients is thus driven by PFT replacement. But empirical studies have revealed "universal" scaling relationships (quantitative trait variations with climate that are similar within and between species, PFTs and communities); and continuous, adaptive trait variation has been proposed to replace P

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6

Meng, T. T., H. Wang, S. P. Harrison, I. C. Prentice, J. Ni, and G. Wang. "Responses of leaf traits to climatic gradients: adaptive variation versus compositional shifts." Biogeosciences 12, no. 18 (2015): 5339–52. http://dx.doi.org/10.5194/bg-12-5339-2015.

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Abstract. Dynamic global vegetation models (DGVMs) typically rely on plant functional types (PFTs), which are assigned distinct environmental tolerances and replace one another progressively along environmental gradients. Fixed values of traits are assigned to each PFT; modelled trait variation along gradients is thus driven by PFT replacement. But empirical studies have revealed "universal" scaling relationships (quantitative trait variations with climate that are similar within and between species, PFTs and communities); and continuous, adaptive trait variation has been proposed to replace P

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7

Verheijen, L. M., V. Brovkin, R. Aerts, et al. "Impacts of trait variation through observed trait–climate relationships on performance of an Earth system model: a conceptual analysis." Biogeosciences 10, no. 8 (2013): 5497–515. http://dx.doi.org/10.5194/bg-10-5497-2013.

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Abstract. In many current dynamic global vegetation models (DGVMs), including those incorporated into Earth system models (ESMs), terrestrial vegetation is represented by a small number of plant functional types (PFTs), each with fixed properties irrespective of their predicted occurrence. This contrasts with natural vegetation, in which many plant traits vary systematically along geographic and environmental gradients. In the JSBACH DGVM, which is part of the MPI-ESM, we allowed three traits (specific leaf area (SLA), maximum carboxylation rate at 25 °C (Vcmax25) and maximum electron transpor

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8

Liu, Chun-Yan, Xiao-Niu Guo, Xiao-Long Wu, Feng-Jun Dai, and Qiang-Sheng Wu. "The Comprehensive Effects of Rhizophagus intraradices and P on Root System Architecture and P Transportation in Citrus limon L." Agriculture 12, no. 3 (2022): 317. http://dx.doi.org/10.3390/agriculture12030317.

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Both arbuscular mycorrhizal fungi (AMF) and phosphorus (P) collectively influence the root system architecture (RSA), but whether the combination of the two affects RSA, particularly lateral root formation, is unknown. In the present study, a pot experiment was conducted to evaluate the effects of an arbuscular mycorrhizal fungus (Rhizophagus intraradices) on the RSA of lemon (Citrus limon L.) seedlings under 0 (P0) and 50 mg/kg (P50) P levels. Moreover, P and carbohydrate content; acid phosphatase activity; and the expression of P transporter genes (PTs), phosphatase genes (PAPs), and lateral

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9

Buotte, Polly C., Charles D. Koven, Chonggang Xu, et al. "Capturing functional strategies and compositional dynamics in vegetation demographic models." Biogeosciences 18, no. 14 (2021): 4473–90. http://dx.doi.org/10.5194/bg-18-4473-2021.

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Abstract. Plant community composition influences carbon, water, and energy fluxes at regional to global scales. Vegetation demographic models (VDMs) allow investigation of the effects of changing climate and disturbance regimes on vegetation composition and fluxes. Such investigation requires that the models can accurately resolve these feedbacks to simulate realistic composition. Vegetation in VDMs is composed of plant functional types (PFTs), which are specified according to plant traits. Defining PFTs is challenging due to large variability in trait observations within and between plant typ

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10

Uddin, Md Shalim, Masum Billah, Rozina Afroz, et al. "Evaluation of 130 Eggplant (Solanum melongena L.) Genotypes for Future Breeding Program Based on Qualitative and Quantitative Traits, and Various Genetic Parameters." Horticulturae 7, no. 10 (2021): 376. http://dx.doi.org/10.3390/horticulturae7100376.

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Eggplant is an essential widespread year-round fruit vegetable. This study was conducted using 130 local germplasm of brinjal to select diverse parents based on the multiple traits selection index for the future breeding program. This selection was performed focusing on 14 qualitative and 10 quantitative traits variation and genetic parameters namely, phenotypic and genotypic variance (PV and GV) and genotypic and phenotypic coefficients of variation (GCV and PCV), broad-sense heritability (hBS), genetic advance, traits association, genotype by trait biplot (G × T), heatmap analysis and multi-

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