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Record W2354014490

Effect of Soil Moisture on Growth and Dry Matter Accumulation of Rice in Cold Region

2007· article· en· W2354014490 on OpenAlexaff
Shuqiang Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsDry matterPaniclePlant stemAgronomyDry weightBiologyHorticulture
DOInot available

Abstract

fetched live from OpenAlex

To study the effect of soil moisture on growth and dry matter accumulation of rice in cold region,controlling water treatments(CWT) for the two rice varieties(Shangyu 397 and Suijing 3) at-30 to-35 kPa and-60 to-65 kPa of soil water potential were carried out during tillering stage,panicle initiation stage,1-10 days after heading,11-20 days after heading,respectively.When soil water potential(SWP) during tillering stage was kept at-30~-35kPa,the effect on plant height was very little,the culms of the two varieties were decreased apparently,and areas of three leaves from the top in two varieties were reduced differently.While SWP during panicle initiation stage was kept at-30~-35kPa,the height of the two varieties was decreased obviously and its main reason was that the internodes length from the second node to the forth node were decreased significantly,and areas of three leaves from the top in two varieties were reduced,but the culms and panicles per hill of the two varieties were increased significantly.While SWP before heading stage was kept at-30~-35kPa,the stem dry matter weight(SDM),the sheath dry matter weight(SHDM) and the panicle dry matter weight(PDM) of the two varieties during full heading stage were lower than those of CK,and exportation percentage(EP) of dry matter in every organ of two varieties also were reduced and reduced range at-60~-65kPa was greater than that at-30~-35kPa.While SWP during the beginning of heading stage was kept at-30~-35kPa,EP of dry matter in every organ of Shangyu 397 on the numerous tests was lower than that of CK,but Suijing 3 was opposite.The response of growth and development and accumulation of dry matter of different rice varieties is different on the different developing stage under the different treatmens.The effect of soil moisture on growth and dry matter accumulation of rice during tillering stage and panicle initiation stage is more serious than that in other treatments.

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)0.000
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 score0.050
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.225
Teacher spread0.218 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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