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Record W3119686202 · doi:10.7275/20483274

Effect of hexazinone on species distributions and weed competition in lowbush blueberry fields in Maine.

2023· article· en· W3119686202 on OpenAlexaboutno aff
David E. Yarborough

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsWeedHexazinoneCompetition (biology)AgronomyBiologyWeed controlEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Lowbush blueberries (Vaccinium angustifolium Aiton and V. myrtilloides Michaux) are produced on native or wild stands in Maine and Eastern Canada. The use of the herbicide hexazinone has caused changes in the weed populations in lowbush blueberry fields. To determine the effect of hexazinone on these species and on the growth and productivity of lowbush blueberries in commercial fields in Maine; blueberry and weed population cover, frequency, and blueberry plant stand and yield were sampled on two fields over four years. Cover and frequency of all species were compared to an earlier survey on 14 fields which had been treated once or twice with hexazinone. Blueberry plant stand was compared among the treated fields. Hexazinone-treated fields had a decline in the cover and frequency of a number of weed species and a corresponding increase in blueberry growth and yield. Open ground, bunchberry (Cornus canadensis L.) and dogbane (Apocynum androsaemifolium L.) increased in cover and frequency with hexazinone treatment. Replacement series experiments to assess competitive effects of bunchberry were established on native stands of blueberries in 1986 and 1987. Quadrats were established on prune and crop fields at cover ratios, where c = crop or blueberry and w = weed or bunchberry of 100c/0w, 75c/25w, 50c/50w, 25c/75w, 0c/100w. Dormant blueberry and bunchberry plugs from prune fields were grown in the above proportions in the greenhouse in the summer of 1987. In the field study, relative yields and regression of individual vs associate yield indicates that blueberry and bunchberry growth are equivalent. Blueberry fruit number and yield decreased with increasing bunchberry density. In the greenhouse study, relative yield, regression of individual versus associate yield, and leaf area index of blueberry and bunchberry indicated that blueberry grew as well or better in mixtures than in prune stands. Replacement series experiments indicated that blueberries are competitive with bunchberry but open areas among clones in native fields allow faster growing bunchberry to spread without competition. Two field experiments indicated that imidazoline compounds did not provide selective control of bunchberry but sulfonyl urea compounds merit further research for bunchberry suppression.

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 score0.337
Threshold uncertainty score0.292

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 studies0.0000.000
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 head0.017
GPT teacher head0.223
Teacher spread0.205 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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