Comparison of probability distribution functions in thermal-time models for modeling of spring oilseed rape germination to temperature

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DERAKHSHAN ABOLFAZL; Bakhshandeh Abdolmehdi; Siadat Seyed Ata alah; MORADI TELAVAT MOHAMMAD REZA; ANDARZIAN BAHRAM

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Journal: Iranian Journal of Field Crop Science Year:2018 | Volume:49 | Issue:3 Page(s): 83-98

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Title

Comparison of probability distribution functions in thermal-time models for modeling of spring oilseed rape germination to temperature

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Keywords

ThermoinhibitionQ1

Log-normal distributionQ1

Cardinal temperaturesQ1

Thermal-germination modelQ1

Spring rapeQ1

Abstract

The models based on thermal-time concept are useful tools for predicting germination in relation to time and temperature. In this study, conducted in 2016 at Ramin Agriculture and Natural Resources University, Thermal-germination model was developed based on seven probability distribution function (Logistic, Weibull, Gumbel, Loglogistic, Inverse-Normal, Log-Normal and Gamma) and predicted germination time courses by these models for two spring oilseed rape cultivars (RGS003, Sarigol) were compared with the Normal thermal-germination outputs. Germination test were conducted at eleven constant temperature regimes of 8, 12, 16, 20, 24, 28, 32, 33, 34, 35 and 36 º C. Results indicated that the Log-Normal Thermal-germination model gave best fit to germination time courses of both cvs. RGS003 (AICc=-1173) and Sarigol (AICc=-1180). Based on the outputs of this model, base temperature for germination of cvs. RGS003 and Sarigol were estimated to be 5. 85 and 5. 60 º C, respectively. The suboptimal thermal-time to initiate germination were predicted as 118. 40 º C h in cv. RGS003 and 120. 00 º C h in cv. Sarigol, While thermal-time required to complete germination at supra-optimal temperatures were estimated to be 29. 07 º C h in cv. RGS003 and 31. 47 º C h in cv. Sarigol. Also, both oilseed rape cultivars showed Thermoinhibition beyond averaged temperature of 33. 17 º C. Estimated parameters in this study can be used in crop simulation models.

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APA: Copy

DERAKHSHAN, ABOLFAZL, Bakhshandeh, Abdolmehdi, Siadat, Seyed Ata alah, MORADI TELAVAT, MOHAMMAD REZA, & ANDARZIAN, BAHRAM. (2018). Comparison of probability distribution functions in thermal-time models for modeling of spring oilseed rape germination to temperature. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 49(3 ), 83-98. SID. https://sid.ir/paper/153541/en

Vancouver: Copy

DERAKHSHAN ABOLFAZL, Bakhshandeh Abdolmehdi, Siadat Seyed Ata alah, MORADI TELAVAT MOHAMMAD REZA, ANDARZIAN BAHRAM. Comparison of probability distribution functions in thermal-time models for modeling of spring oilseed rape germination to temperature. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2018;49(3 ):83-98. Available from: https://sid.ir/paper/153541/en

IEEE: Copy

ABOLFAZL DERAKHSHAN, Abdolmehdi Bakhshandeh, Seyed Ata alah Siadat, MOHAMMAD REZA MORADI TELAVAT, and BAHRAM ANDARZIAN, “Comparison of probability distribution functions in thermal-time models for modeling of spring oilseed rape germination to temperature,” IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 49, no. 3 , pp. 83–98, 2018, [Online]. Available: https://sid.ir/paper/153541/en

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