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Development of a Threshold Model to Predict Germination of Populus tomentosa Seeds after Harvest and Storage under Ambient Condition

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  • Wei-Qing Wang
  • Hong-Yan Cheng
  • Song-Quan Song

Abstract

: Effects of temperature, storage time and their combination on germination of aspen (Populus tomentosa) seeds were investigated. Aspen seeds were germinated at 5 to 30°C at 5°C intervals after storage for a period of time under 28°C and 75% relative humidity. The effect of temperature on aspen seed germination could not be effectively described by the thermal time (TT) model, which underestimated the germination rate at 5°C and poorly predicted the time courses of germination at 10, 20, 25 and 30°C. A modified TT model (MTT) which assumed a two-phased linear relationship between germination rate and temperature was more accurate in predicting the germination rate and percentage and had a higher likelihood of being correct than the TT model. The maximum lifetime threshold (MLT) model accurately described the effect of storage time on seed germination across all the germination temperatures. An aging thermal time (ATT) model combining both the TT and MLT models was developed to describe the effect of both temperature and storage time on seed germination. When the ATT model was applied to germination data across all the temperatures and storage times, it produced a relatively poor fit. Adjusting the ATT model to separately fit germination data at low and high temperatures in the suboptimal range increased the models accuracy for predicting seed germination. Both the MLT and ATT models indicate that germination of aspen seeds have distinct physiological responses to temperature within a suboptimal range.

Suggested Citation

  • Wei-Qing Wang & Hong-Yan Cheng & Song-Quan Song, 2013. "Development of a Threshold Model to Predict Germination of Populus tomentosa Seeds after Harvest and Storage under Ambient Condition," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-9, April.
  • Handle: RePEc:plo:pone00:0062868
    DOI: 10.1371/journal.pone.0062868
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    1. Ratna Wylis Arief & Robet Asnawi & Reny Debora Tambunan & Nila Wardani & Dewi Rumbaina Mustikawati & Made Jana Mejaya, 2022. "Packaging types as influencing seed quality in some soybean [Glycine max (L.) Merr.] varieties during storage period," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 40(3), pages 229-239.
    2. Paulo Carteri Coradi & Roney Eloy Lima & Charline Zaratin Alves & Paulo Eduardo Teodoro & Ana Carina da Silva Cândido, 2020. "Evaluation of coatings for application in raffia big bags in conditioned storage of soybean cultivars in seed processing units," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-28, November.
    3. Paulo Carteri Coradi & Samuel Martens & Henrique Eguilhor Rodrigues & Andressa Fernandes Leal & Douglas Romeu da Costa & Reni Saath & Flávio Meira Borém, 2021. "Development and validation of a heated drying air diffusion system to optimize rotary dryers and final coffee quality," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.

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