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Record W2067406375 · doi:10.1071/sr03143

Potassium adsorption characteristics and potassium forms in some New South Wales soils in relation to early senescence in cotton

2004· article· en· W2067406375 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSoil Research · 2004
Typearticle
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsBC Research (Canada)
FundersCotton Research and Development Corporation
KeywordsIllitePotassiumSoil waterChemistryClay mineralsSoil healthAnimal scienceMineralogyEnvironmental chemistrySoil organic matterGeologySoil scienceBiology

Abstract

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The occurrence of premature senescence (PS) in cotton in Australia has been related to decreased potassium (K) concentration in the affected plants. Soil samples (0–120 cm) were taken from paired cotton fields, i.e. PS fields and similar soils not affected by PS (Non-PS fields), in northern New South Wales. The samples were analysed for different forms of K in soil, mineralogy of various size fractions, and K adsorption characteristics to evaluate differences in their K availability. Smectite was the dominant clay mineral in the studied soils. The K-bearing mineral illite was present in the clay fraction of all samples and its content was generally higher in soils from the Non-PS sites than the PS sites from Moree, Pilliga, and Warren. Water-soluble K (H2O-K) ranged from 0.03 to 2.64 mg/kg (median 0.35 mg/kg), exchangeable K (Exch-K) from 43 to 687 mg/kg (median 107 mg/kg), non-exchangeable K (Nonexch-K) from 164 to 1981 mg/kg (median 819 mg/kg), and total K (Total-K) from 16 811 to 23 207 mg/kg (median 14 740 mg/kg). The values of various K forms were generally higher in samples from the Non-PS fields than the PS fields from Pilliga and Warren sites and the reverse trend occurred for the samples from Trangie. Similar H2O-K and Exch-K values were found for the PS and Non-PS samples from Moree, whereas Nonexch-K and Total-K contents were higher in the top 60 cm soil depth from the Non-PS field than the PS field. The equilibrium activity ratio (ARKe) values were significantly higher for surface samples from the Non-PS sites than the PS sites from Pilliga and Warren and the reverse was true for the Trangie site. There was a sharp decrease in ARKe with depth for the studied samples. The potential buffering capacity (PBCK) for both surface and subsurface samples from the Non-PS site (mean 31.5 (mmol/kg)/(mol/L)1/2) from Trangie was substantially higher than the corresponding samples from the PS sites (mean 14.7 (mmol/kg)/(mol/L)1/2). There was a significant increase in K adsorption for the subsurface samples than the surface samples for all sites, as indicated by the higher values of Freundlich adsorption coefficient, k. At the Pilliga and Warren sites, the occurrence of premature senescence in cotton plants can be explained on the basis of differences in the levels of different forms of K, mineralogy, and K adsorption characteristics of soils from the PS and Non-PS fields. At the Moree site, higher illite content in the Non-PS than the PS soil may explain the difference in their K availability. For the paired Trangie samples, greater PBCK of the Non-PS soil than the PS soil may be responsible for increased K availability in the Non-PS soil. The occurrence of PS symptoms in cotton at Narrabri site cannot be directly contributed to K supplying parameters analysed in the study. The results also show that Exch-K alone may not be adequate to measure K availability to cotton in these soils.

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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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.343
Teacher spread0.286 · 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