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Record W2343637458 · doi:10.21273/hortsci.40.6.1931

The Effects of Short-term Drying on Seed Germination in Rosa

2005· article· en· W2343637458 on OpenAlexaboutno aff
David C. Zlesak

Bibliographic record

VenueHortScience · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationTerm (time)HorticultureBotanyBiologyPhysics

Abstract

fetched live from OpenAlex

Seed propagation of roses is used for breeding new cultivars, native plant restoration, selected rootstocks, and some roses used for hip production (Gill and Pogge, 1974; Krussmann, 1981; Weremark et al., 1995). Rose achenes (seeds) are notorious for having low viability and erratic germination (Buckley, 1985). Factors such as genetics, temperature during both seed maturation and stratifi cation, scarifi cation, pericarp removal, and plant growth regulators can affect germination frequency and uniformity (Buckley, 1985; Gudin et al., 1990; VonAbrams and Hand, 1956). Satisfactory viability has been retained for multiple years using dry longterm seed storage of Rosa multifl ora Thunb. and other Rosaceous species (Crocker, 1926; Crocker and Barton, 1931). Short-term drying ( 500 seeds of each cultivar or species were allowed to air dry for four days, and at the same time >500 seeds of each cultivar or species were kept continually moist wrapped in damp paper towels within sealed polyethylene bags. After treatment, all seeds were submerged in distilled water for 24 h. Five replications of 100 seeds were counted for each moisture treatment per cultivar or species per year. Each replication of seeds was mixed with 80 cm of moistened Canadian sphagnum peatmoss (Hyponex Corporation, Marysville, Ohio) and sealed in a 16.8 × 14.9-cm polyethylene bag (Glad zipper bags, Oakland, Calif.). Seeds were cold stratifi ed for 12 weeks at 4 °C and then moved to 14 °C for the duration over which germination was observed (11 weeks in year 1; 16 weeks in year 2). Bags were monitored once per week at which time germinating seeds (seeds with an emerged radicle) were removed and counted. The 2 weeks (X and X +1 ) bracketing the 50% total germination value and their cumulative germination values (C 1 and C 2 , respectively) were used to calculate T 50 for each replication with the following formula. Student’s t tests were calculated using SPSS software (SPSS 11.0 for Windows, Chicago, Ill.): T 50 = X + [(50% total germination – C 1 )/(C 2 – C 1 )]. Short-term drying reduced total percent germination and altered T 50 for R. rubiginosa and R. rugosa, but did not signifi cantly affect germination of the other cultivars or species relative to constant moisture (Table 1, Fig. 1). A signifi cantly longer T 50 in response to shortterm drying was found for R. rubiginosa and shorter T 50 for R. rugosa relative to constant moisture (Table 1). Some may consider the year 1 reduction in total percent germination (6.2% reduction) for ‘Bucbi’ due to short-term drying to be slightly signifi cant (P = 0.10) depending on where one sets their signifi cance threshold, however, in year 2 a trend towards divergence between moisture treatments for ‘Bucbi’ (0.2% reduction; P = 0.96) was not observed (Table 1, Fig. 1). The total percent germination was greater in year 2 at week 11 for both ‘Bucbi’ moisture treatments and the continuous moisture treatment for R. rubiginosa (Fig. 1). Different degrees of physiological dormancy across seed lots collected from the same parents in different years is common for many plant species and can be due to differing environmental conditions (Baskin and Baskin, 1998). Depending on cultivar or species, germination improved or stayed the same when rose seeds were kept moist from harvest through germination relative to short-term drying after harvest. Roses and other Rosaceous species are not generally thought of as having recalcitrant seeds, since viability is generally satisfactory after drying (Crocker and Barton, 1931). In breeding programs where there is a high investment in hand-pollinated seed, not allowing seeds to dry out before stratifi cation treatments could maximize both rapid and a high fi nal percent of germination. Since commercial rose breeding programs generally try to obtain rapid germination after achene harvest and then raise seedlings in greenhouses (Krussmann, 1981), keeping seeds continually moist should not interfere with established protocols and could easily be adopted. On the other hand, if seed is abundant, limited resources may be best allocated using dry storage to delay stratifi cation treatments and germination, a situation which may occur when raising open-pollinated

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)0.000
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 score0.941
Threshold uncertainty score0.107

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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

Citations12
Published2005
Admission routes1
Has abstractyes

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