Radicle emergence test predicts normal germination percentages of onion seed lots with different cultivars and genotypes

Yıl 2020, , 434 - 442, 18.12.2020

İbrahim Demir , Eren Özden , Zeynep Gökdaş , Ebrima S. Njie , Mine Aydin

https://doi.org/10.37908/mkutbd.697450

Cited By: 4

Öz

Aims: To test radicle emergence count in order to predict normal germination percentages of onion lots.

Methods and Results: This work was conducted to test the potential for 2 mm radicle emergence (RE) to predict normal seed germination percentages of 20 onion seed lots. In the first stages of the study RE counts at 72, 76 and 80 h were highly predictive (p<0.001, R2=0.94-0.95) of normal germination after 12 days. In the second stage, the regression formula (y=45.9+0.52x) developed for the 80th hour radicle emergence to predict normal germination of 20 seed lots at various aging levels collected from the market. RE counts (%) of the 20 lots at 80 h were used to predicted values by using the formula. Actual normal percentages of 20 lots were determined after 12 days of germination testing. Then regression analysis was performed on both values. Results showed that predicted and actual normal germination percentages were highly related to actual normal germination percentages (R2=0.95, p<0.001). Means of the predicted (79.6%) and actual (80.4%) values were very similar. Results indicated that RE testing has a potential to estimate normal germination percentages of onion seed lots. 

Conclusions: RE count at 80h was highly related to normal germination percentages after 12 days (p<0.001, R2=0.95) in commercial onion seed lots.

Significance and Impact of the Study: RE testing can be used in the prediction of normal germination percentages of any commercial onion seed lots within a short period, rather than waiting until the final count (12 

days) in onion germination tests.

Anahtar Kelimeler

Germination test, commercial onion seed lots, seed ageing, predicting germination

Radicle emergence test predicts normal germination percentages of onion seed lots with different cultivars and genotypes

Öz

Aims: To test radicle emergence count in order to predict normal germination percentages of onion lots.

Methods and Results: This work was conducted to test the potential for 2 mm radicle emergence (RE) to predict normal seed germination percentages of 20 onion seed lots. In the first stages of the study RE counts at 72, 76 and 80 h were highly predictive (p<0.001, R2=0.94-0.95) of normal germination after 12 days. In the second stage, the regression formula (y=45.9+0.52x) developed for the 80th hour radicle emergence to predict normal germination of 20 seed lots at various aging levels collected from the market. RE counts (%) of the 20 lots at 80 h were used to predicted values by using the formula. Actual normal percentages of 20 lots were determined after 12 days of germination testing. Then regression analysis was performed on both values. Results showed that predicted and actual normal germination percentages were highly related to actual normal germination percentages (R2=0.95, p<0.001). Means of the predicted (79.6%) and actual (80.4%) values were very similar. Results indicated that RE testing has a potential to estimate normal germination percentages of onion seed lots.

Conclusions: RE count at 80h was highly related to normal germination percentages after 12 days (p<0.001, R2=0.95) in commercial onion seed lots.

Significance and Impact of the Study: RE testing can be used in the prediction of normal germination percentages of any commercial onion seed lots within a short period, rather than waiting until the final count (12 days) in onion germination tests.

Anahtar Kelimeler

germination test, commercial onion seed lots, seed ageing

Kaynakça

• Basu RN (1995) Seed viability, In: Seed Quality: Basic mechanisms and agricultural implications (Eds. Basra AS), Food Products Press, New York. pp. 1–44.
• Demilly D, Ducournau S, Wagner MH, Dürr D (2014) Digital imaging of seed germination. In: Plant Image Analysis: Fundamentals and Applications (Eds. Gupta SD, Ibaraki Y), CRC Press, Boca Raton, USA. pp. 147-162
• Demir I, Ermis S, Mavi K, Matthews S (2008a) Mean germination time of pepper seed lots (Capsicum annuum) predicts size and uniformity of seedlings in germination tests and transplant modules. Seed Sci. Technol., 36: 21-30.
• Demir I, Kenanoglu BB, Ozden E (2019) Seed Vigour Tests to Estimate Seedling Emergence in Cress (Lepidium sativum L.) Seed Lots, Not. Bot. Horti Agrobot. Cluj-Napoca 47: 881-886.
• Ellis RH, Roberts EH (1981) The quantification of ageing and survival in orthodox seeds. Seed Sci. Technol., 9: 373–409
• ISTA (2016) International Rules for Seed Testing, International Seed Testing Association, Bassersdorf, Switzerland.
• Khajeh-Hosseini M, Nasehzadeh M, Matthews S (2010) Rate of physiological germination relates to the percentage normal seedlings in standard germination tests of naturally aged seed lots of oilseed rape. Seed Sci. Technol., 38: 602-611.
• Lv, YY, Wang YR, Powell AA (2016) Frequent individual counts of radicle emergence and mean just germination time predict seed vigour of Avena sativa and Elymus nutans. Seed Sci. Technol., 44: 189-198.
• Matthews S, Khajeh-Hosseini M (2006) Mean germination time as an indicator of emergence performance in soil of seed lots of maize (Zea mays). Seed Sci. Technol., 34: 339-347.
• Matthews S, Khajeh-Hosseini M (2007) Length of the lag period of germination and metabolic repair explain vigour differences in seed lots of maize (Zea mays L.). Seed Sci. Technol., 35: 200-212.
• Matthews S, Powell AA (2011) Towards automated single counts of radicle emergence to predict seed and seedling vigour. Seed Testing International, 142: 44-48.
• Matthews S, Noli E, Demir I, Khajeh-Hosseini M, Wagner MH (2012) Evaluation of seed quality: from physiology to international standardisation. Seed Sci. Res., 22:69-73.
• Matthews S, Wagner MH, Kerr L, McLaren G, Powell AA (2012) Automated determination of germination time courses by image capture and early counts of radicle emergence lead to a new vigour test for winter oilseed rape (Brassica napus). Seed Sci. Technol., 40: 413-424.
• Mavi K, Mavi F, Demir I, Matthews S (2014) Electrical conductivity of seed soak water predicts seedling emergence and seed storage potential in commercial seed lots of radish. Seed Sci. Technol., 42: 76-86.
• Mavi K, Powell AA, Matthews S (2016) Rate of radicle emergence and leakage of electrolytes provide quick predictions of percentage normal seedlings in standard germination tests of radish (Raphanus sativus). Seed Sci. Technol., 44: 393-409.
• Ozden E, Ozdamar C. Demir I (2018) Radicle Emergence Test Estimates Predictions of Percentage Normal Seedlings in Standard Germination Tests of Aubergine (Solanum melongena L.) Seed Lots, Not. Bot. Horti Agrobot. Cluj-Napoca 46:177-182.
• Powell AA, Mavi K (2016) Application of the radicle emergence test to radish (Raphanus sativus) seed. 31. ISTA Congress, June 15-21, Tallinn, Estnonia. pp. 43 Thirusendura SD, Saraswathy S (2017) Seed viability, seed deterioration and seed quality improvements in stored onion seeds: a review. J. Hortic. Sci. Biotechnol., 93:1–7.
• Yanping Y, Ronggi G, Qingguan S, Shengfu L (2000) Vigour of welsh onion seeds in relation to storage temperature and seed moisture content. Seed Science and Technology, 28: 817–823.
• Wagner MH, Ducournau S, Luciani A, Léchappé J (2012) From knowledge-based research towards accurate and rapid testing of seed quality in winter rape. Seed Sci. Res., 22: 80-85.
• Walters C, Wheeler LM, Grotenhuis JM (2005) Longevity of seeds stored in a genebank: species characteristics. Seed Sci. Res., 15: 1-20.