MétaCan
Menu
Back to cohort

THE STUDY RESULTS OF MORPHO-BIOLOGICAL TRAITS OF NORTH AMERICAN ALFALFA SAMPLES

2019· article· en· W2964906479 on OpenAlexaboutno aff
S. А. Ignatiev, А. А. Регидин, T. V. Grayzeva, К. N. Goryunov

Bibliographic record

VenueGrain Economy of Russia · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationBiologyForagePerennial plantCropAgronomyYield (engineering)GermplasmHorticulture

Abstract

fetched live from OpenAlex

Alfalfa is the most valuable forage crop spread all over the world. Due to the varietal diversity of alfalfa in the countries of North America, the laboratory of breeding and seed-growing of perennial grasses of the FSBSI “Agricultural Research Center “Donskoy” conducted the experiments over 27 samples of American and Canadian breeding to find genetic sources of economic and biological traits. The field trials were conducted according to generally accepted methods for forage crops in 2016–2018. The area of experimental plots was 1 m2 with double sequence. The period “beginning of spring germination” and “beginning of flowering” were studied depending on the climatic conditions of the year. In 2016 and 2017 spring germination took place in March, and in 2018 it was in the 1-st decade of April. Beginning of flowering in the studied samples ranged from the 3-d decade of May to the 1-st decade of June. On average, over 3 years, the number of days in the period “beginning of spring germination – beginning of flowering” varied from 68 to 73 days. This period of the standard variety was 72 days. The studied samples had this period on 1–4 days shorter, excluding the samples “K-33299” and “K-42249” (73 days). According to the yield of green mass, none of the samples reliably exceeded the standard variety “Rostovskaya 90” (3.29 kg/m2). The studied alfalfa samples formed 1.57–3.5 kg/m2 of green mass. According to the plant foliage amount, the indicators of the studied samples varied from 42 to 49%. The samples “K-33299” and “K-43272” with 49% of foliage amount slightly exceeded the standard variety “Rostovskaya 90” (48%). The hay yield of the studied samples varied from 31 to 40%, “K-43272” formed the smallest indicator (31%), “K-42249” and “K-45715” (40%) produced the largest amount and when the hay productivity of the standard variety was 35%. There have been identified reliable correlations between the yield of green mass and hay, as well as between the yield of green mass and the number of days during the period “beginning of spring germination – beginning of flowering”.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.203
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGrain Economy of RussiaSame topicAgricultural Productivity and Crop ImprovementFrench-language works237,207