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Record W2038806500 · doi:10.1139/x10-198

Root morphological plasticity and biomass production of two Chinese fir clones with high phosphorus efficiency under low phosphorus stress

2011· article· en· W2038806500 on OpenAlexvenueno aff
Pengfei Wu, Xiangqing Ma, Mulualem Tigabu, Chen Wang, Aiqin Liu, Per Christer Odén

Bibliographic record

VenueCanadian Journal of Forest Research · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaUniversity of Edinburgh
KeywordsCunninghamiaPhosphorusBiologyShootBiomass (ecology)SowingBotanyclone (Java method)HorticultureNutrientRoot systemProductivityPhosphorus deficiencyAgronomyEcologyChemistryGene

Abstract

fetched live from OpenAlex

Available P is the major growth-limiting factor in southern China where Chinese fir ( Cunninghamia lanceolata (Lamb.) Hook.) plantations are increasingly established. Planting P-efficient clones is a viable option to enhance productivity of Chinese fir plantations. Two Chinese fir clones with high P efficiency (M1 and M4) were chosen as the research materials and their adaptive responses to low P stress were examined. The increment in root morphological traits and biomass production of these clones was measured by a sand culture experiment with a heterogeneous P supply. For both clones, P starvation resulted in significantly higher root surface area and root volume but not root length. For clone M4, the mean root diameter was also larger under P deficiency than under normal P supply. Interestingly, the root morphological traits varied substantially within the same root system where the starved roots had higher values for all morphological traits than the nonstarved ones. Phosphorus starvation did not affect shoot and root biomass or the root to shoot ratio, but the whole-plant biomass increment was large under P deficiency for clone M4. In conclusion, the adaptation to low P stress in these clones is attributed to increased P acquisition and utilization efficiencies.

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 score0.090
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.255
Teacher spread0.216 · 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

Citations78
Published2011
Admission routes1
Has abstractyes

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