مدل سازی حیات بذر کینوا (Chenopodium quinoa) با تجزیه پروبیت

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد دانشگاه تهران

2 عضو هیات علمی دانشگاه تهران

چکیده

حفظ کیفیت بذر از زمان برداشت تا کشت بعدی هدف اصلی انبارداری بذر می‌باشد و شرایط محیط انبار، بویژه دو عامل دما و رطوبت از مهمترین عوامل زوال بذر و کاهش بنیه می‌باشند. بنابراین به منظور بررسی معادله بقای بذر الیس و روبرتز در رابطه با انبارداری بذر کینوا و معرفی ثابت‌های معادله حیات بذر، آزمایشی در آزمایشگاه گروه زراعت و اصلاح نباتات دانشگاه تهران در سال 1394 انجام شد. پس از تعیین قوه نامیه و رطوبت اولیه بذر، رطوبت آن‌ها به مقدار 5، 9، 13 و 17 درصد رسانیده شد و در بسته‌های نانو در دماهای 5، 15، 25 و 35 درجه سانتی‌گراد قرار گرفتند. نمونه‌برداری از بذرها در فواصل زمانی معین، بسته به شرایط نگهداری انجام گرفت و درصد بذر جوانه زده، ضرایب معادله و رابطه سیگما با رطوبت و دما تعیین گردید و پس از تجزیه و تحلیل پروبیت نمودارهای مربوط به هر شرایط رسم گردید. کمترین سطح زوال بذر در دمای 5 درجه سانتی‌گراد با رطوبت محتوی بذر 5% بود که بعد از هشت ماه انبارداری، جوانه‌زنی از 98% به 94% کاهش یافت. بیشترین زوال بذر در دمای 35 و 25 درجه سانتی‌گراد با رطوبت محتوی بذر 17% بود. مقدار ضرایب حیات KE، CW، CH و CQ به‌ترتیب 93/2، 51/0 ، 019/0 و 00031/0 بود. نتایج نشان داد که با افزایش رطوبت بذر و دما در طی انبارداری، درصد زنده‌مانی بذر کاهش می‌یابد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Modeling of quinoa (Chenopodium quinoa) seed viability with probit analysis.

نویسنده [English]

  • arash mamedi 1
چکیده [English]

The main goal of seed storage is to maintain its quality from harvesting to sowing time. Among all factors, storage temperature and seed moisture content are the most important factors affecting seed longevity. This experiment was conducted at University of Tehran, Department of Agronomy and Plant Breeding during 1394 to determine the Ellis and Roberts deterioration model of Chenopodium quinoa seeds and introduce constants of viability equation. Seed viability and initial moisture content was measured and after that seeds were adjusted to 5, 9, 13 and 17% moisture content and sealed hermetically in Nano packets. Storage temperatures were 5, 15, 25 and 35˚C. The interval of sampling depended on the storage conditions. Seed viability constants were estimated to predict seed longevity in this species and relationship between sigma and moisture content and temperatures was determined. After probit analysis, survival curves were depicted in each condition. Results showed that seeds with 5% moisture content stored at 5°C had the highest germination percentage, and after 8 months seed viability decreased from 98% to 94%. But, seeds which were stored at 17% moisture content and 25 and 35°C had the highest deterioration rate. Estimates of KE, CW, CH and CQ were 2.93, 0.51, 0.019 and 0.00031, respectively. Also, the results showed that seed longevity decrease with increased seed moisture and temperature.

کلیدواژه‌ها [English]

  • moisture
  • seed deterioration
  • seed longevity
  • seed viability equation
  • temperature
Basra, S.M.A., Ahmad, N., Khan, M.M., Iqbal, N. & Cheema, M. A. (2003). Assessment of cotton seed deterioration during accelerating aging. Seed Science and Technology, 31, 531-540.
Dehghan, M. & Sharifzadeh, F. (2012). The estimation of viability equation in seeds of perennial rye (Secale montanum) under different conditions of temperature and moisture content. Agronomy Journal (Pajouhesh and Sazandegi), 94, 16-22 (In Farsi).
Dikie, J.B., Ellis, R.H., Kraak, H.L., Ryder, K. & Tompsett, P.B. (1990). Temperature and seed storage longevity. Annals of Botany, 65, 197-204.
Ellis, R. H. & Roberts, E. H. (1980). Improved equations for the prediction of seed longevity. Annals of Botany, 45, 13-30.
Ellis, R. H. (1984). The meaning of viability seed management techniques for bank. International board for plant Genetic Resources, 75, 12-27.
Ellis, R.H. & Hong, T.D. (2007). Quantitative response of the longevity of seed of twelve crops to temperature and moisture in hermeric storage. Seed Science and Technology, 35,432-444.
Fantinatti, J. B. & Usberti, R. (2007). Seed viability constants for Eucalyptus grandis. Pesquisa Agropecuaria Brasilia, 42,111-117.
Hampton, J.G. & TecKrony, D.M. (1995). Handbook of vigor test methods. The International Seed Testing Association, 117p.
Hong, T. D., Ellis, R. H. & Moore, D. (1997). Development of a model to predict the effect of temperature and moisture content on fungal spore longevity. Annals of Botany, 79, 121-128.
10. Hong, T. D., Ellis, R. H.,  Buitink, J., Walters, C., Hoekstra, F. A. &  Crane. J. (1999). A model of the effect of temperature and moisture on pollen longevity in air-dry storage environments. Annals of Botany, 83, 167-173.
11. Hung, L. Q., Hong, T. D. & Ellis, R. H. (2001). Constant, fluctuating and effective temperature and seed longevity: a tomato (Lycopersiconesculentum Mill.) example. Annals of Botany, 88, 465-470.
12. International Seed Testing Association (ISTA). (1999). International rules for seed testing. Seed Science and Technology, 27, 1-303.
13. Jacobsen, S. E. (1998). Developmental stability of quinoa under European conditions. Industrial Crops and Products, 7(2), 169-174.
14. Jacobsen, S. E., Liu, F. & Jensen, C. R. (2009). Does root-sourced ABA play a role for regulation of stomata under drought in quinoa (Chenopodium quinoa Willd.). Scientia Horticulturae, 122(2), 281-287.
15. Jacobsen, S. E., Quispe, H. & Mujica, A. (2001). Quinoa: an alternative crop for saline soils in the Andes. Scientist and Farmer-Partners in Research for the 21st Century. CIP Program Report, 2000, 403-408.
16. Marshal, A. & Lewis, D.N. (2004). Influence of seed storage conditions on seedling emergence, seedling growth and dry matter production of temperate forage grasses. Seed Science and Technology, 32, 493-501.
17. Mondoni, A., Orsenigo, S., Donà, M., Balestrazzi, A., Probert, R. J., Hay, F. R. & Abeli, T. (2014). Environmentally induced transgenerational changes in seed longevity: maternal and genetic influence. Annals of Botany, 113(7), 1257-1263.‏
18. Plucknett, D.L., Smith, N.J.H., Williams, J.T. & Anishetty, N.M. (1987). Seed Banks and the World's Food. Princeton University Press, Princeton, New Jersey, USA, 8, 1987- 264.
19. Pradidwong, S., Isarasenee, A. & Pawelzik, E. (2004). Prediction of mungbean seed longevity and quality using the relationship of seed moisture content and storage temperature. Deutscher Tropentag, 91, 2-7.
20. Risi, N.W. & Galwey, j. (1984). The Chenopodium grains of the Andes Inca crops for modern agriculture. Advances in Applied Mathematics, 10, 145–216.
21. Roberts, E. H. (1961). The viability of rice seed in relation to temperature, moisture content and gaseous environment. Annals of Botany, 25(3), 381-390.‏
22. Roberts, E. H. (1973). Predicting the storage life of seeds. Seed Science and Technology ,1, 499-514.
23. Ruales, J. & Nair, B.M. (1993). Content of fat, vitamins and minerals in quinoa (Chenopodium quinoa) seeds. Food Chemistry. 48, 131-136.‏
24. Sánchez-Valdes, S., Ortega-Ortiz, H., Ramos-de Valle, L. F., Medellín-Rodríguez, F. J. & Guedea-Miranda, R. (2009). Mechanical and antimicrobial properties of multilayer films with a polyethylene/silver nanocomposite layer. Journal of applied polymer science, 111(2), 953-962.‏
25. Scott, N. & Chen, H. (2012). Nanoscale science and engineering for agriculture and food systems. Industrial Biotechnology, 8(6), 340-343.‏
26. Tang, S., Tekriny, D.M., Egli, D.B. & Cornelius, P.L. (1999). Survival characteristics of corn seed during storage. II. Rate of seed deterioration. Crop Science, 39, 1400-1406.
27. Tang, Sh, Dennis, M. & TeKrony, B. (2000). An alternative model to predict corn seed deterioration during Storage. Crop Science, 40, 463-470.
28. Usberti, R., Roberts, E.H. & Ellis, R.H. (2006). Prediction of cotton seed longevity. Pesquisa Agropecuária Brasileira, 41 (9), 1435-1441.