Prediction of phenology, phyllochron and leaf area in wheat (cv. Sardari)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHALILIAQDAM N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Plant Production Research Year:2019 | Volume:26 | Issue:2 Page(s): 85-99

Download Full-Text

Persian Verion

View:

489

Download:

Cites:

Information Journal Paper

Title

Prediction of phenology, phyllochron and leaf area in wheat (cv. Sardari)

Author(s)

KHALILIAQDAM N. | Issue Writer Certificate

Keywords

Leaf appearanceQ2

ModelQ1

SardariQ1

StressQ2

Abstract

Background and Objectives: Prediction of development periods of crops by mathematical Models, especially, time to growth ending is so important in every region. Therefore, considering importance of prediction of phenology, leaf area and time to leaf growth ending, this research performed to introduce and test of Phenology MMS Model in environmental conditions of Saqez, also, prediction of Leaf appearance rate, phyllochron in Stress condition of drought and to correct coefficient of allometric equations of predicting of leaf area of wheat (cv. Sardari). Materials and Methods: In this research, Phenology MMS evaluated using field data for wheat. Then time and thermal time needed to leaf growth ending and phyllochron (degree day per leaf) obtained using segmented Model in different Stress levels. Then, the best algometric Model selected for describing of relation between leaf area and leaf number. Results: Results showed that the Model can predicted wheat development periods as well as and it was capable to estimate day and thermal time needed to each special development period in three state: day after sowing, day after emergence and day after vernalization. Also, results released that time to leaf growth ending will occur after reception of 1716 degree day which equal to 238. 8 day after emergence. On other hands, a leaf will include to plant 16. 6 day after emergence. By increasing in Stress, the slope of regression line of leaf number versus thermal time, decreased and reached to 0. 0029 leaf per degree day in sever tension. But, phyllochron upgraded by increasing in Stress and it changed from 133. 3 (medium tension) to 339. 1 degree day per leaf (sever tension). Results of predicting leaf area using exponential segmented Models showed that segmented Model was better than exponential Models in predicting of leaf area. Conclusion: As for being acceptable of results of phonological Model for prediction of thermal time, leaf number and phyllochron, we advise using of this Model in Modeling and agronomical studies. So, drought Stress can effect on Leaf appearance rate and phyllochron value. The best Model to estimate leaf area was segmented Model. Because, this Model was simple and capable to develop based on physiological meanings that can indicate clear introducing of leaf area variations.

Cites

No record.

References

No record.

Cite

APA: Copy

KHALILIAQDAM, N.. (2019). Prediction of phenology, phyllochron and leaf area in wheat (cv. Sardari). JOURNAL OF PLANT PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 26(2 ), 85-99. SID. https://sid.ir/paper/155657/en

Vancouver: Copy

KHALILIAQDAM N.. Prediction of phenology, phyllochron and leaf area in wheat (cv. Sardari). JOURNAL OF PLANT PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2019;26(2 ):85-99. Available from: https://sid.ir/paper/155657/en

IEEE: Copy

N. KHALILIAQDAM, “Prediction of phenology, phyllochron and leaf area in wheat (cv. Sardari),” JOURNAL OF PLANT PRODUCTION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 26, no. 2 , pp. 85–99, 2019, [Online]. Available: https://sid.ir/paper/155657/en

Related Journal Papers