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Evaluación de métodos de injerto de Lycopersicum esculentum Mill sobre patrón de tomate criollo (Solanum lycopersicum var. Cerasiforme)

2016· article· es· W3110598027 on OpenAlexaff
María I. Hernández, M. B. M Hernández, H.V.M Figueroa

Bibliographic record

VenueRevista Biológico Agropecuaria Tuxpan · 2016
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsLycopersiconSolanumBiologyHorticultureHumanitiesArt

Abstract

fetched live from OpenAlex

En el tomate criollo Solanum lycopersicum var. Cerasiforme se ha observado y reportado resistencia natural a diversas enfermedades del suelo y nematodos, este genotipo habita en forma de mala hierba en regiones tropicales de México, y es aprovechado solo en la gastronomía de las regiones, dejando a un lado el potencial que puede tener al ser utilizado como portainjerto. El objetivo del experimento fue evaluar el comportamiento agronómico de Lycopersicum esculentum Mill sobre patrón de tomate criollo en diferentes métodos de injerto, el proyecto se dividió en dos etapas: la primera consistió en la realización de diferentes métodos de injertos la segunda etapa consistió en el comportamiento de las plantas injertadas en campo. Los resultados muestran que el uso de tomate criollo (Solanum lycopersicon var. Ceraciforme) utilizado como portainjerto presenta gran potencial de prendimiento y desarrollo de planta, de los métodos evaluados los mejores fueron el T1 Empalme y T2 Púa en porcentaje de sobrevivencia, altura y diámetro de tallo en plántula, y se obtuvieron los mejores rendimientos con frutos de talla Medium y Large, la incidencia de enfermedades fue nula durante la evaluación, concluyendo que el uso de tomate criollo como patrón brinda la posibilidad de obtener mejores rendimientos y alargar el periodo de cosecha debido a su abundante y fuerte sistema radicular.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.258
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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