MétaCan
Menu
Back to cohort
Record W3125051268

Sprouting behavior of potato seed tubers (cv. Russet Burbank) after the application of different plant growth regulators

2018· article· en· W3125051268 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.

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

Bibliographic record

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsSproutingBiologyDormancyAbscisic acidGibberellinCropSowingGerminationYield (engineering)RespirationHorticultureAgronomyphotoperiodismBotany
DOInot available

Abstract

fetched live from OpenAlex

The yield of a potato crop is strongly influenced by the physiological age of potato tubers at planting. Physiological age can be defined as the stage of development of a seed tuber, which changes progressively by increasing chronological age and is modified by growth history and storage conditions (Struik & Wiersema, 1999). It is often characterized as the sprouting potential of seed. It is hard to overstate the importance of physiological age of seed potatoes to the potato industry: it strongly affects emergence of sprouts, number of stems per plant, number of tubers per stem, tuber-size distribution and tuber yield of the progeny crop (Van der Zaag & Van Loon, 1987; Van Ittersum, 1992; Struik & Wiersema, 1999; Struik, 2007). Thus, understanding the mechanisms of physiological aging and the ability to control it is crucial to maximizing crop yield and quality. Previous studies on physiological age of seed potato have been focused on environmental factors, such as relative humidity, temperature, photoperiod, and diffuse light (Struik & Wiersema, 1999; Struik et al., 2006). Tuber respiration appears to be a pacemaker of aging: the longer the respiration rate remains high, the older the seed tubers will be (Blauer et al., 2013). In addition, research has shown that plant growth regulators such as abscisic acid (ABA), ethylene, indole-3-acetic acid (IAA), cytokinins and gibberellins play a role in the control of tuber dormancy and subsequent sprout growth (Suttle, 2007). Up to date, there is still a strong need for further research to better understand their role and the effect on the physiological age (Suttle, 2004; Suttle, 2007; Kloostermann & Bachem, 2014; Wohleb et al., 2014). In this study, different growth regulators such as Gibberellic Acid, ABA, Auxin, Cytokinin and 2.4-D were applied to the meristematic tissue of the seed tuber at three different concentrations (2.5, 5, 10 ppm) and stored at two different temperatures (5, 12°C). Afterwards, the break of dormancy and the sprouting behaviour were observed. At the time of writing, the study was not completed and thus no results can be presented at this time. The findings of this study will give indications for further research to develop new methods to control physiological age. Key words: seed potato, growth regulator, dormancy, sprouting, physiological age, Solanum tuberosum L. *Indicates presenter

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 score0.390
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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