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Record W1982570448 · doi:10.2135/cropsci2013.08.0562

Post‐flowering Biomass and Nitrogen Accumulation of Lentil Substantially Contributes to Pod Production

2014· article· en· W1982570448 on OpenAlexafffundabout
Hossein Zakeri, Rosalind Bueckert

Bibliographic record

VenueCrop Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaSaskatchewan Pulse GrowersUniversity of SaskatchewanUniversity of Missouri
KeywordsPoint of deliveryBiologyCultivarAgronomyBiomass (ecology)CropBiomass partitioningLegumeHorticulture

Abstract

fetched live from OpenAlex

ABSTRACT Lentil ( Len culinaris L.) is an indeterminate legume crop that continues to grow and accumulate biomass (DM) after flowering. Abundant N can stimulate post‐flowering vegetative growth of lentil and reduce partitioning of DM and N into pods. The effect of inoculant rhizobia, 50 kg N fertilizer ha –1 and non‐treated control treatments on DM and N partitioning of lentil was studied in Saskatchewan. Accumulated DM and N in leaf, stem and pod of eight lentil cultivars were measured at flowering, podding, and maturity. The results showed that more than 85% of DM (5.8 g DM plant –1 ) and N (143 mg N plant –1 ) were accumulated after lentil flowering. Of the 167 mg N and 6.5 g DM plant –1 at maturity, 58% DM and 75% N was in pod, 26% DM and 10% N was in stem, and leaf had the remaining 15% of the DM and N. The treatments affected N concentration and occasionally total DM and N content of the plant organs, but partitioning of DM and N among the three parts was independent of the treatments. In comparison, soil moisture significantly affected total and partitioning of DM and N into pod. Among the cultivars, the medium‐maturing cultivar CDC Milestone accumulated similar DM and N as late‐maturing ones, but allocated a greater portion of DM and N to pod than the late‐maturing cultivars. Overall, available N during pod‐filling promotes lentil biomass and pod production, but the efficiency of DM and N partitioning to pod is controlled by plant genotype and soil moisture.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.165

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 head0.038
GPT teacher head0.279
Teacher spread0.241 · 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 designBench or experimental
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

Citations14
Published2014
Admission routes3
Has abstractyes

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