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Information Journal Paper

Title

PREDICTION OF REGENERATION TIME OF MEDICINAL PLANTS THYMUS DAENENSIS, T. FEDTSCHENKOI, SALVIA VIRGATA, TEUCRIUM POLIUM, MENTHA PULEGIUM AND M. LONGIFOLIA BY FITTING REGRESSION MODEL TO SEED MOISTURE CONTENT AND TEMPERATURE

Pages

  32-42

Abstract

 Seeds that are stored in the GENE BANKs must be regenerated due to exchange and seed deterioration; if they not be regenerated the potential benefits of infrastructure investments for germplasm ex situ conservation may not be attained. Time which a seed can survive is called SEED LONGEVITY. Prediction of SEED LONGEVITY is based on viability equation. The viability equation has four constants which are species specific. The aim of this project is estimation of these coefficients and then using them for predicting the on time regeneration and multiplication of four medicinal plant species according storage conditions. The plant species in this study was two species of thymes (Thymus daenensis and THYMUS fedtschenkoi), tow species of mint (Mentha pulegium and MENTHA longifolia) one sage (Salvia virgata) and felty germander (Teucrium polium). The seeds placed in three environments with relative humidity of 20, 40 and 60% and their moisture content was measured after equilibrium. Then the seeds sealed in nylon pockets and stored at 30, 35 and 40 °C. The TP germination tests with three replications were done monthly. The Excel software was used for estimation of viability constants (i.e. KE, Cw, CH, CQ). The maximum and minimum SEED LONGEVITY estimated for T. fedtschenkoi and M. pulegium respectively. If viability of these species be 100% at the beginning of the storage, the seeds of T. fedtschenkoi and M. pulegium with 8% moisture content in the active collection (5 °C) must be regenerated after 241 and 22 years respectively. The KE was estimated 5.14, 7.18, 4.312, 4.06, 4.29, and 4.72 for T. daenensis, T. fedtschenkoi, M. pulegium, M. longifolia, S. virgata, and T. polium respectively. According to this calculated constants the prediction time for studied species would be available.

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    APA: Copy

    EISVAND, H.R., NASIRI, M., MADDAH AREFI, H., & JAFARI, A.A.. (2013). PREDICTION OF REGENERATION TIME OF MEDICINAL PLANTS THYMUS DAENENSIS, T. FEDTSCHENKOI, SALVIA VIRGATA, TEUCRIUM POLIUM, MENTHA PULEGIUM AND M. LONGIFOLIA BY FITTING REGRESSION MODEL TO SEED MOISTURE CONTENT AND TEMPERATURE. SEED RESEARCH (JOURNAL OF SEED SCIENCE AND TECHNOLOGY), 3(3), 32-42. SID. https://sid.ir/paper/226657/en

    Vancouver: Copy

    EISVAND H.R., NASIRI M., MADDAH AREFI H., JAFARI A.A.. PREDICTION OF REGENERATION TIME OF MEDICINAL PLANTS THYMUS DAENENSIS, T. FEDTSCHENKOI, SALVIA VIRGATA, TEUCRIUM POLIUM, MENTHA PULEGIUM AND M. LONGIFOLIA BY FITTING REGRESSION MODEL TO SEED MOISTURE CONTENT AND TEMPERATURE. SEED RESEARCH (JOURNAL OF SEED SCIENCE AND TECHNOLOGY)[Internet]. 2013;3(3):32-42. Available from: https://sid.ir/paper/226657/en

    IEEE: Copy

    H.R. EISVAND, M. NASIRI, H. MADDAH AREFI, and A.A. JAFARI, “PREDICTION OF REGENERATION TIME OF MEDICINAL PLANTS THYMUS DAENENSIS, T. FEDTSCHENKOI, SALVIA VIRGATA, TEUCRIUM POLIUM, MENTHA PULEGIUM AND M. LONGIFOLIA BY FITTING REGRESSION MODEL TO SEED MOISTURE CONTENT AND TEMPERATURE,” SEED RESEARCH (JOURNAL OF SEED SCIENCE AND TECHNOLOGY), vol. 3, no. 3, pp. 32–42, 2013, [Online]. Available: https://sid.ir/paper/226657/en

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