Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67(3), 679-688 | DOI: 10.11118/actaun201967030679

Relationship Between Phenological and Meteorological Data as an Important Input Into Spring Barley Phenological Model

Lenka Hájková1, Martin Možný1, Věra Kožnarová2, Lenka Bartošová3,4, Zdeněk Žalud3,4
1 Czech Hydrometeorological Institute, Department of Biometeorological Applications, Na Šabatce 17, 143 06 Prague, Czech Republic
2 University of Life Sciences in Prague, Department of Agroecology and Plant Production, 165 00 Prague 6 - Suchdol, Czech Republic
3 Global Change Research Institute CAS, Bělidla 986/4a, 603 00 Brno, Czech Republic
4 Mendel University in Brno, Faculty of AgriSciences, Department of Agrosystems and Bioclimatology, Zemědělská 1, 613 00 Brno, Czech Republic

In this study, phenological and meteorological data have been used to interpret the relationship and influence of weather on current phenological stages of spring barley. The analyses were focused mainly on the stages closely connected with yield and grain filling period - tillering (BBCH 21), heading (BBCH 55) and yellow ripeness (BBCH 85). The aims of this paper were to: (1) calculate the trend in phenological development of spring barley from CHMI phenological stations in period 1991-2012 at different climatic zones; (2) evaluate the trend in number of days between phenological stages; (3) evaluate the sums of growing degree days above threshold above 5 °C (GDD) and precipitation totals to phenophase onset calculated since the phenological stage of emergence (BBCH 10); (4) calculate Pearson's correlation coefficient (PCC) between phenological stage and meteorological parameter. The highest positive PCC was found between GDD and phenological stages of heading and yellow ripeness at Doksany and Strážnice stations situated in lowlands. The average value of GDD to phenological stage heading is within the range from 418.4 to 500.1 °C. The sums of precipitation totals fluctuate from 73.9 mm (Doksany station) to 123.2 mm (Chrastava station). The results of this study suggest that GDD can be a more suitable parameter for phenological model of spring barley development than precipitation total.

Keywords: phenophase, precipitation, spring barley, Czech Republic, BBCH code
Grants and funding:

This study was supported by the financial support of National Agency for Agricultural Research, the Ministry of Agriculture of the Czech Republic, Project No. QK1910338 - Early warning agrometeorological system for biotic and abiotic risks, and by the financial support of the Ministry of Education, Youth and Sports of CR within the National Sustainability Program I (NPU I), grant number LO1415 and Support Program for Long Term Conceptual Development of Research Institution.

Received: March 26, 2019; Accepted: May 21, 2019; Published: June 27, 2019  Show citation

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Hájková, L., Možný, M., Kožnarová, V., Bartošová, L., & Žalud, Z. (2019). Relationship Between Phenological and Meteorological Data as an Important Input Into Spring Barley Phenological Model. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis67(3), 679-688. doi: 10.11118/actaun201967030679
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References

  1. CHMI. 2009. Methodical instructions number 10 for phenological stations - wild plants. Prague: CHMI.
  2. COUFAL, L. et al. 2004. Phenology Atlas. Prague: CHMI.
  3. CHUINE, I., COUR, P. and ROUSSEAU, D. D. 1999. Selecting models to predict the timing of flowering of temperate-zone trees using simulated annealing. Plant Cell Environ, 22(1): 1-13. DOI: 10.1046/j.1365-3040.1999.00395.x Go to original source...
  4. GLICKMAN, T. S. (ed.). 2000. Glossary of Meteorology. 2nd Edition. Boston, Massachusetts: American Meteorology Society.
  5. HÁJKOVÁ, L. et al. 2012. Atlas of phenological conditions in Czechia. 1st Edition. Prague-Olomouc: CHMI - Palackého University.
  6. HÁJKOVÁ. L., KOŽNAROVÁ, V., SULOVSKÁ, S. and NEKOVÁŘ, J. 2013. Phenological characteristics of wild plants in Czechia. 1st Edition. CHMI.
  7. KOŽNAROVÁ, V. and KLABZUBA, J. 2010. Traditional and modern methods in weather and climate evaluation in biological disciplines. Prague: Crop Research Institute.
  8. MEIER, U. 2001. Growth stages of mono- and dicotyledonous plants. BBCH Monograph. 2nd Edition. Federal Biological Research Centre for Agriculture and Forestry.
  9. MENZEL, A., et al. 2006. European phenological response to climate change matches the warming pattern. Glob. Chang. Biol., 12(10): 1969-1976. DOI: 10.1111/j.1365-2486.2006.01193.x Go to original source...
  10. PELTONEN-SAINIO, P. and JAUHIAINEN, L. 2014. Lessons from the past in weather variability: sowing to ripening dynamics and yield penalties for northern agriculture from 1970 to 2012. Reg. Environ. Change, 4: 1505-1516. DOI: 10.1007/s10113-014-0594-z Go to original source...
  11. ROBERTSON, D., ZHANG, H., PALTA, J. A.,COLMER, T. and TURNER, N. C. 2009. Waterlogging affects the growth, development of tillers, and yield of wheat through a severe, but transient, N deficiency. Crop and Pasture Sci., 60: 578-586. DOI: 10.1071/CP08440 Go to original source...
  12. RUSELLE, M. P., WILHELM, W. W., OLSON, R. A. and POWER, J. F. 1984. Growth analysis based on degree days. Crop Sci., 24: 28-32. DOI: 10.2135/cropsci1984.0011183X002400010007x Go to original source...
  13. SCHELLING, K., BORN, K., WEISSTEINER C. and KŰHBAUCH, W. 2003. Relationships between Yield and Quality Parameters of Malting Barley (Hordeum vulgare L.) and Phenological and Meteorological Data. J. Agronomy & Crop Science, 189: 113-122. DOI: 10.1046/j.1439-037X.2003.00011.x Go to original source...
  14. SCHWARTZ, M. D. 1996. Examining the spring discontinuity in daily temperature ranges. J. Clim., 9(4): 803-808. DOI: 10.1175/1520-0442(1996)0092.0.CO;2 Go to original source...
  15. ŠTĚPÁNEK, P. 2010a. AnClim - software for time series analysis. Brno: Department of Geography, Faculty of Natural Science, MU.
  16. ŠTĚPÁNEK, P. 2010b. ProClimDB - software for processing climatological datasets. Brno: CHMI.
  17. TOLASZ, R. et al. 2007. Climate Atlas of Czechia. 1st edition. Prague: CHMI.
  18. TRNKA, M., Olesen, J. E., Kersebaum, K. C. et al. 2011. Agroclimatic conditions in Europe under climate change. Glob. Chang. Biol., 17: 2298-2318. DOI: 10.1111/j.1365-2486.2011.02396.x Go to original source...
  19. YU, R., SCHWARTZ, M. D., DONELLY, A. and LIANG, L. 2016. An observation-based progression modeling approach to spring and autumn tree phenology. Int. J. Biometeorol., 60: 35-349. Go to original source...
  20. WANG, E. and ENGEL, T. 1998. Simulation of Phenological Development of Wheat Crops. Agricultural System, 58(1): 1-24. DOI: 10.1016/S0308-521X(98)00028-6 Go to original source...

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