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Record W7132892947

Traits to Carrot About: Assessing Functional Trait Variation Across Climatic Conditions in Daucus carota

2025· dissertation· W7132892947 on OpenAlexaff
Samantha Claire Macklin

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTraitAgricultureBiodiversityOrange (colour)EcosystemClimate changePhotosynthesisDaucus carota
DOInot available

Abstract

fetched live from OpenAlex

Agriculture is a leading contributor to climate change and environmental degradation. From CO2 emissions to biodiversity loss, water and soil pollution, conventional agriculture is among the most damaging practices to Earth’s spheres. Diversified farming is hypothesized to represent a more sustainable alternative to conventional agriculture, with more diverse farms expected to be more resistant and resilient to environmental change, while mitigating agriculture impacts on the environment. Specifically, greater functional diversity—notably diversity in leaf and root traits—on farms is expected to confer greater rates of ecosystem functioning. However, studies evaluating the extent, causes, and consequences of functional trait variation for some of the world’s most common crops remain limited. This study quantified variations in 16 above- and belowground traits related to resource acquisition, water use, and yield, across ~280 individuals of seven orange carrot (Daucus carota) varieties, growing on eight farms within four climate site types. Most traits except for δ 13C and chlorophyll content varied statistically across farms, with less consistent patterns of trait variation across carrot varieties. Broadly, rates of aboveground traits seemed to trade-off against belowground resource acquisition. Specifically, the Bolero variety, bred for reliable storage, flavour, and yield, expressed the highest average maximum photosynthetic rates (Amax; 12.9±1.0 μmol CO2 m-2 s-1), while also expressing the lowest average dry root mass (0.85±0.14 g) and stem diameter (6.4±0.4 mm); meanwhile varieties such as Orange Strain Cross—bred for broad adaptation to diverse growing environments, a deep orange colour, excellent flavour, and cavity spot and nematode resistance. - -expressed the lowest average Amax (9.1±1.0 0 μmol CO2 m-2 s-1) with the highest average dry root mass (2.7±0.7 g), carrot diameter (25.6±1.5 mm), and length (13.5±1.1 cm). Variance partitioning analysis indicated that farm identity was the primary factor explaining variation in all physiological and many morphological traits, including the maximum root length, stem diameter, above ground biomass, leaf dry mass, leaf mass per area, and leaf C and N concentrations. Moving forward we suggest the use of functional diversity and therefore functional traits, such as the traits of the root or leaf economic spectrums, as a key measurement to understand the role each species plays in an ecosystem and their interactions. We further recommend the use of organic practices and selective breeding, especially using regional adaptation to ensure crops are adapted to changing climatic conditions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.398
Teacher spread0.336 · 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.

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
Published2025
Admission routes1
Has abstractyes

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