MétaCan
Menu
Back to cohort
Record W4285258536 · doi:10.5376/tgg.2022.13.0001

The Restoring and Maintaining Characteristic among K-type and F-type Wheat Male Sterile Lines

2022· article· en· W4285258536 on OpenAlexvenueno aff
Yuliang Qiu, Xie Sangang, Wenbin Ren, Qian Wang, Jingzhen Yao

Bibliographic record

VenueTriticeae Genomics and Genetics · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyBiotechnology

Abstract

fetched live from OpenAlex

In order to study the pollen abortive characteristics of male sterile lines of K-type and F-type wheat and to screen their strong restorers lines and maintainers, the I 2 -KI staining method was used to observe the pollens types of sterile lines in flowering period, and 583 quality wheat varieties (lines) were hybridized with sterile lines to investigate the self-seed set ratio on F 1  of combinations. The results show that:(1)the pollen sterility rate of K-type and F-type male sterile lines were as high as 96.97% and 97.73%, respectively. The main types of pollen abortion were stained aborted tape and typical aborted tape. (2) the self-seed set ratio of K-type and F-type sterile lines (domestic) were 4.61% and 1.98%, respectively. (3) 34 self-seed set ratio of F 1  (international) were more than 100% and 11 below 20%. (4) ‘Liangxing805’, AQ001, ‘Lin7287’, ‘Jimai22’ were excellent restorer lines to K-type sterile line. ‘Bao8696’, ‘Nongda3291’, ‘Ke1201’, ‘Ji8906069’ could be used as good maintainers for K-type sterile line. ‘Bao8696’, ‘15Zhan24’, ‘Luomai23’, ‘Linyuan801’ were excellent restorer lines to F-type sterile line. ‘15Zhan11’, ‘Wenhang6’, ‘Linyu5’, ‘Fengyou8’ could be used as good maintainers for F-type sterile line. The results showed that both K-type and F-type sterile lines were completely aborted and stable, and they were easy to find good maintainer lines and restorer lines, and the latter had stronger recovery capability.

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 score0.735
Threshold uncertainty score0.751

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 studies0.0010.000
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 head0.023
GPT teacher head0.222
Teacher spread0.199 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueTriticeae Genomics and GeneticsSame topicWheat and Barley Genetics and PathologyFrench-language works237,207