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Record W2030272179 · doi:10.2135/cropsci2001.411218x

Prevalence of Puroindoline Grain Hardness Genotypes among Historically Significant North American Spring and Winter Wheats

2001· article· en· W2030272179 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCrop Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsAlleleBiologyGenotypeGeneticsHorticultureAgronomyGene

Abstract

fetched live from OpenAlex

Grain hardness (“hard” or “soft” kernel texture) is the single most important trait in determining the utilization and marketing of wheat ( Triticum aestivum L.). Puroindoline a and b proteins represent the molecular basis for this trait. This study surveyed the prevalence of puroindoline hardness mutations (alleles) among North American spring and winter wheat varieties with emphasis on those that are historically important. Each variety was assessed for kernel texture using the Single Kernel Characterization System; Hardness alleles were defined by puroindoline gene sequence and the presence or absence of puroindoline a protein on polyacrylamide gels. A total of 90 spring wheats were examined: nine were soft and possessed wild‐type (“soft”) puroindoline sequences, 10 were mixed hardness, and the remaining 71 were uniformly hard. Of these hard spring wheats, 18 carried the Pina‐D1b hardness allele (null for puroindoline a protein), 47 the Pinb‐D1b allele (Gly‐46–Ser‐46), and four the Pinb‐D1c allele (Leu‐60–Pro‐60). Two hard spring wheats possessed a new allele, designated Pinb‐D1e , which involves a single nucleotide change in Trp‐39 to a “stop” codon. Lastly, among the spring wheats, a new hardness allele was found in the hard component of the variety ‘Utac’ which was mixed. This allele, Pinb‐D1f , also involved a single nucleotide change such that Trp‐44 became a “stop” codon. A total of 62 winter wheat varieties were examined, of which five were soft and three were of mixed hardness. Of interest, the three mixed hardness wheats were ‘Turkey’, ‘Kharkof’, and ‘Weston’. The hard component of each carried the Pinb‐D1b allele. Of the 54 remaining wheats, all of which were hard, all but two carried this same Pinb‐D1b allele. ‘Chiefkan’ winter wheat carried the same Pinb‐D1e allele as ‘Canadian Red’ and ‘Gehun’ spring wheats. ‘Andrews’ hard red winter wheat possessed a new allele, designated Pinb‐D1g , which was a single nucleotide change in Cys‐56 to a “stop” codon. In conclusion, hard grain phenotype results from one of various mutations in either of the puroindoline proteins. To‐date, seven hardness alleles have been discovered and characterized in hexapoid wheat. All but one occur in the puroindoline b gene coding sequence and result from single nucleotide changes. These molecular markers are useful in characterizing lineages and analyzing ancestral relationships.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.521

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 head0.016
GPT teacher head0.218
Teacher spread0.202 · 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