Sprouting behavior of potato seed tubers (cv. Russet Burbank) after the application of different plant growth regulators
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".