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Record W3119126025 · doi:10.1139/cjfr-2020-0130

Provenance matters: variability under saline stress in young plants of four populations of a <i>Prosopis</i> (mesquite) species from dry forests of Argentina

2021· article· en· W3119126025 on OpenAlexvenueno aff
Paula Venier, Guillermo Funes, Ingrid Teich, Diego López Lauenstein, Ramiro Lascano

Bibliographic record

VenueCanadian Journal of Forest Research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiocrusts and Microbial Ecology
Canadian institutionsnot available
FundersInstituto Nacional de Tecnología Agropecuaria
KeywordsProsopisPerennial plantSalinityBiomass (ecology)BiologyProvenanceWoody plantSowingSoil salinityBotanyHorticultureAgronomyEcology

Abstract

fetched live from OpenAlex

The planting of native perennial woody species tolerant to variable salt concentrations can facilitate the recovery of degraded dry forests. The objective of this study was to evaluate and compare, under experimentally controlled conditions, the response to saline of young plants from four provenances of Prosopis alba, a mesquite species useful for restoration plans. The seeds of P. alba were from different localities of the Chaco region of Argentina (Santiago del Estero, Chaco, Formosa, and Salta). The plants were evaluated for 45 days under greenhouse-controlled growth conditions in the presence of 0, 100, and 300 mmol·L −1 NaCl. We measured variables associated with growth, photosynthesis, and redox state. The imposed salt stress condition did not cause plant death in any provenance. However, salinity produced a strong effect on growth and physiological variables of all provenances. Salta provenance was associated with higher net values of biomass and stem diameter. Chaco registered the greatest relative values of height and stem diameter, indicating a higher salinity tolerance than the other provenances. Chaco also produced more antioxidants to cope with the oxidative stress associated with saline stress. Chaco and Salta provenances may be the most promising for use in restoration plans of dry forests in areas with saline soils in the Chaco region. We emphasize the importance of using different provenances in forest restoration for a more successful system recovery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.284
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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