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Record W1583952587 · doi:10.1071/cpv65n1_fo

Durum wheat for the future: challenges, research and prospects in the 21st Century

2014· article· en· W1583952587 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 and Pasture Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMonogastricBiologyRuminantSystems researchPlant breedingAnimal breedingPastureBiotechnologyAgronomy

Abstract

fetched live from OpenAlex

Durum wheat for the future: challenges, research and prospects in the 21st CenturyPasta, made from durum wheat (Triticum turgidum L.), is a staple food product in many parts of the world.Durum wheat grain is characterised by high levels of protein and yellow pigment, is very hard (which is ideal for making semolina), has strong and stable dough ideal for the production of high quality pasta and other durum derived products.Globally, some 35-40 million tonnes of durum are produced annually.Most production is centred in the Mediterranean region, Canada, North America, Mexico, Maghreb countries, and India, with small amounts of highly valued durum being produced in Australia.Durum wheat is typically grown under rain-fed conditions in the semi-arid regions of the world.Rainfall can vary dramatically in these regions, and consequently the quality of the grain can be variable.A range of pathogens, but primarily Fusarium species (and some rusts); also significantly affect durum production.The adverse impact of mineral deficiencies, disease and water stress on the plant have previously limited the ability of durum breeders to significantly increase yield, while also ensuring high grain quality, in new varieties.However, the complexities of these traits have not necessarily been explored to the same extent in durum wheat as for common (bread) wheat.Hence, research that addresses these challenges will be important for the future growth of the durum industry worldwide.Papers presented in this Special Issue of Crop and Pasture Science demonstrate the broad array of research that is being conducted worldwide in an attempt to understand and address the barriers to high-yielding, high-quality durum wheat production.This Special Issue largely arose out of discussions between durum wheat researchers at two recent international symposia on the genetics and breeding of durum wheat (Adelaide, Australia, 2012 and Rome, Italy, 2013).Being a minor wheat crop, typically many research reports on durum become dispersed in the main literature on wheat and other crops therefore, a dedicated journal issue addressing this important crop is welcome amongst durum wheat

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.043
GPT teacher head0.278
Teacher spread0.235 · 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