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Record W2010615357 · doi:10.2135/cropsci2004.1440

Untimely Fall Harvest Affects Dry Matter Yield and Root Organic Reserves in Field‐Grown Alfalfa

2004· article· en· W2010615357 on OpenAlexaff
Catherine Dhont, Yves Castonguay, Paul Nadeau, Gilles Bélanger, R. Drapeau, François‐P. Chalifour

Bibliographic record

VenueCrop Science · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsAgriculture and Agri-Food CanadaUniversité Laval
Fundersnot available
KeywordsBiologyGrowing degree-dayRaffinoseDry matterStachyoseAgronomySucrosePhenologyStarchCultivarCarbohydrateAnimal scienceHorticultureBotanyFood science

Abstract

fetched live from OpenAlex

The regrowth interval between the last summer harvest and the fall harvest is a major determinant of alfalfa ( Medicago sativa L.) persistence and spring regrowth. This study assessed the impact of the timing of a fall harvest on persistence, dry matter yield (DMY), and root carbohydrate and N reserves of field‐grown alfalfa. Two cultivars (AC Caribou and WL 225) were harvested either only twice during the summer or three times with the third harvest taken 400, 500, or 600 growing degree days (GDD) after the second summer harvest. Plant density was not affected by a fall harvest across three production years (1997 to 1999). The DMY of the first harvest in the second production year (1998) was significantly reduced by prior fall harvests taken at 400 or 500 GDD. However, the seasonal DMY in 1998 was higher with the 500 or 600 GDD harvest management than with the two harvest system. Root dry weight (DW) was generally reduced by a third harvest in the fall, especially when taken at 400 GDD. Amounts of root carbohydrate reserves (raffinose family oligosaccharides [RFO], sucrose, and starch), as well as the amounts of total amino acids and soluble proteins were significantly reduced by harvesting at 400 or 500 GDD. Untimely fall harvest reduced alfalfa spring regrowth by impeding the accumulation of both carbohydrate and N reserves. Seasonal DMY remained advantageous as long as an interval of 500 or 600 GDD was kept between the last summer and the fall harvests.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.214
Teacher spread0.198 · 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

Citations30
Published2004
Admission routes1
Has abstractyes

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