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Record W1974476488 · doi:10.4141/cjps2012-091

Historical changes in grain yield and quality of spring wheat varieties cultivated in Siberia from 1900 to 2010

2013· article· en· W1974476488 on OpenAlexvenueno aff
Alexey Morgounov, И. А. Белан, Yuriy Zelenskiy, Lyudmila Roseeva, Sándor Tömösközi, F. Békés, Aygul Abugalieva, İsmail Çakmak, Mateo Vargas, José Crossa

Bibliographic record

VenueCanadian Journal of Plant Science · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsFarinographGluteninGlutenGermplasmYield (engineering)AgronomyProtein qualityCultivarBiologyHorticultureFood science

Abstract

fetched live from OpenAlex

Morgounov, A. I., Belan, I., Zelenskiy, Y., Roseeva, L., Tömösközi, S., Békés, F., Abugalieva, A., Cakmak, I., Vargas, M. and Crossa, J. 2013. Historical changes in grain yield and quality of spring wheat varieties cultivated in Siberia from 1900 to 2010. Can. J. Plant Sci. 93: 425–433. This study focusses on changes in yield, protein content, micronutrient composition and bread-making quality of 32 historical bread wheat varieties. The germplasm was divided into four groups: viz. 1: bred before 1935; 2: bred 1955–1975; 3: bred 1976–1985; 4: bred after 1985. Yield genetic gain was 0.59% per year. The last three periods scored significantly higher for protein, gluten content and alveograph W values, compared with the first group, but did not differ significantly from each other. The physical dough properties of varieties developed between 1976 and 1985 were superior, as reflected by the W value, farinograph mixing time and degree of softening. Loaf volume was highest for the 1950–1975 group, representing a 15.6% superiority. There were significant and gradual reductions between the earliest and latest groups for protein (7.6%) and wet gluten (7.7%) contents. No changes in zinc and iron contents, important in determining grain nutritional value, were detected. Generally, modern germplasm had superior physical dough quality and stability. This improvement was not clearly associated with changes in the frequencies of high- and low-molecular weight glutenin alleles. Sustaining the genetic gains for yield and quality will require investigation of the effects and interactions of genes controlling adaptation and end-use quality of spring wheat in Siberia.

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)0.001
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 score0.717
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.046
GPT teacher head0.220
Teacher spread0.174 · 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

Citations51
Published2013
Admission routes1
Has abstractyes

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