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Record W2885768751 · doi:10.2135/cropsci2018.01.0019

Genetics of Inbreeding Effects in Smooth Bromegrass

2018· article· en· W2885768751 on OpenAlex
Soheila Spanani, Mohammad Mahdi Majidi, Nia Hughes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrop Science · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyInbreeding depressionSelfingHeritabilityInbreedingBromus inermisGenetic gainGenetic variabilityAgronomyForageGenetic variationOpen pollinationBotanyGeneticsGenotypePopulationPollinationPollenDemography

Abstract

fetched live from OpenAlex

Limited knowledge is available on the effects of deliberate selfing on morphological traits and genetic parameters in smooth bromegrass ( Bromus inermis Leyss). To gain an enhanced understanding of these effects, 25 parental clones of smooth bromegrass along with 25 full‐sib (S 1 ) and 25 half‐sib (open‐pollinated [OP]) progenies were generated in 2012 and used to assess the consequences of first‐generation inbreeding during 2013 and 2014 in a field experiment. A high genetic variation was observed among and within the S 1 and OP progenies and parental clones. Different levels of inbreeding depression were observed for traits of days to anthesis, plant height, spread, and dry matter yield. Principal component analysis separated lines into three groups roughly corresponding to S 1 , OP, and parental clones, indicating that changes in mating system could rapidly change the genetic structure of populations. Large genetic variations were observed for inbreeding depression among the parental clones. Heritabilities ranged from 0.16 for dry matter (%) to 0.85 for spreading ability. The self‐pollinated progenies exhibited a higher heritability than the other progenies. The high correlations of forage yield with plant height, number of shoots per plant, and spread make it possible to improve forage yield via indirect selection. Results indicated that the magnitude of inbreeding depression varied among the genotypes and traits. Therefore, selection for low inbreeding depression rates is possible in this species, which may facilitate development of inbred lines for future breeding studies.

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.

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 score0.776
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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