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THE RESULTS OF THE ECOLOGICAL STUDY OF DIFFERENT ECOTYPES OF SPRING BARLEY VARIETIES IN THE DRY CONDITIONS OF THE VOLGOGRAD PROVINCE

2018· article· en· W2914506777 on OpenAlex
G. V. Kozubovskaya, V. I. Balakshina

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

VenuePROCEEDINGS ON APPLIED BOTANY GENETICS AND BREEDING · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsEcotypeAgronomySteppeForest steppeEnvironmental scienceYield (engineering)Stage (stratigraphy)LimitingWater contentMoistureAgriculturePrecipitationRipeningBiologyHorticultureGeographyBotanyEcologyGeology

Abstract

fetched live from OpenAlex

Background. The main limiting factor for achieving high barley yields is the insufficient moisture availability for crops in certain periods of development. When comparing growing conditions with the requirements of varieties of different ecotypes to the conditions of plant growth and development, it is necessary to identify varieties that are resistant to drought at different stages of organogenesis and thus can be used as sources of drought resistance in barley breeding.Materials and methods. The study was carried out in the dry-steppe zone of the Volgograd Province at the experiment station of the Lower-Volga Research Institute of Agriculture. A nursery was laid out according to a standard method. Twenty-two varieties from Russia, the USA, Canada, Belarus and Germany were selected for the study, and 'Donetskiy 8' was used as a reference.Results and conclusions. In the dry-steppe zone, the moistening conditions at the booting stage and the temperature regime during ripening are important for the growth and development of spring barley. With sufficient moisture supply (56.3 mm) at the booting stage and moderate air temperature (the sum of active temperatures of 711°C) during the maturing stage, the grain yield was maximal and reached 7.08.0 tons/ha for individual varieties. In the absence of precipitation (1.4 mm) at the booting stage and strong heat during the maturing stage (1030.5°C), the yield of these varieties decreased to 2.5- 3.0 tons/ha. The coefficient of variation in more droughty years was 30-54%, while in wet ones it was 20.5%. The varieties that are suitable for the zone of risky agriculture as the most flexible ones that ensure high yields regardless of climatic conditions, are 'Miar', 'Donetskiy 8', 'Tetonia', 'PWA 1758', 'Lenetah', 'Hays', which adaptation coefficient is above 1 throughout the years of the study. A sharp response to the changing vegetation conditions was displayed by 'Omskiy Golozernyi', 'Dublet', 'Fobos', 'Tercel' and 'Thual', all with an adaptation coefficient below 1. The naked varieties 'Tamalpais' (USA) and 'CDCGainer' (Canada) have a high adaptation coefficient (1.23, 1.41) in arid conditions and can be used in barley breeding for drought resistance.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.294

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.204
Teacher spread0.189 · 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