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Record W4288472763 · doi:10.5376/tgmb.2022.12.0008

Agronomic Traits and Quality Screening of Superior <i>Camellia oleifera</i> in Tropical Areas

2022· article· en· W4288472763 on OpenAlexvenueno aff
Hai Wang, Yunhao Liu, Jiaming Song, Yajie Deng, Yang Zhou, Hanggui Lai

Bibliographic record

VenueTree Genetics and Molecular Breeding · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
FundersHainan University
KeywordsCamellia oleiferaCamelliaBiologyHorticultureBreedYield (engineering)BotanyAnimal science

Abstract

fetched live from OpenAlex

In order to breed high-yield and high-quality  Camellia oleifera  varieties, promote the quality upgrade of Hainan camellia tea oil. In this study, through the investigation and analysis of different production areas of  Camellia oleifera  in Hainan, excellent single plants were selected from the main areas of Camellia oleifera planted in Hainan, focusing on the main botanical traits, main fruit traits, and differences in economic traits, tea oil fatty acid composition and content, the correlation between fatty acids and other aspects are analyzed specifically for the agronomic traits and tea oil quality of excellent individual plants. The results showed that the botanical characteristics are as follows: tree height is between 1.4 m and 8.4 m, crown width is between 1.1 × 1.0 and 8.0 × 7.3 m, the initial flowering period is generally from late October to early November, and the flowers are all white. The fruit maturity period is also between mid-October to early November, etc.; the fruit traits show that the horizontal diameter of the fruit is 38.67 ~ 55.32 mm, the longitudinal diameter of the fruit is 27.64 ~ 40.71 mm, and the fruit shape is peach-shaped or orange-shaped. Green or blue-brown, etc.; all indicators of economic traits are significantly different ( p <0.01), mainly due to the differences in the agronomic traits of the excellent trees, resulting in different degrees of the economic traits of the fruits, and also affecting the yield and the quality of the excellent trees. The study found that the superior tree traits in Wuzhishan area are superior to other areas, and the oleic acid content and quality of tea oil in Ding'an Shitang area are higher than other areas. The selected excellent single plant has better agronomic traits, high fruit yield, high oil content and strong disease resistance. This study specifically analyzed and evaluated the excellent individual plants in different producing areas of  Camellia oleifera  in Hainan, and revealed the differences in agronomic traits and tea oil quality in different areas of  Camellia oleifera , and provided a reference for the breeding work of  Camellia oleifera  in Hainan.

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 score0.967
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.266
Teacher spread0.225 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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