Modelling the effect of sowing date on the emergence, silking and yield of maize (Zea mays L.) in a moderately warm and dry production area
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Kuupäev
2020
Kättesaadav alates
Autorid
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Abstrakt
This research focused on accurately modelling emergence (VEEmergence) and silking
(R1) dates using 5 cm deep soil temperature (ST) and how sowing date (SD) affects VEEmergence
and R1 date of different maturity hybrids and which is the optimum sowing date in the changed
climate. Three sowing dates were used between 4th April and 10th May. The same maize hybrids
(FAO 290, FAO 350, FAO 420) were involved in the experiment between 2011–2013. The 5 cm
deep soil temperature could be used for simulating the date of VEEmergence and R1 and the
Percentage of Predicted Deviation (PD) was below 10%. When calculating the effective heat units
(HU) at 5 cm depth, setting 6 °C as base temperature leads to better modelling. SD did not clearly
affect yield since due to the influence of genotype and crop years. The FAO 290 hybrid had the
lowest yield (11.534 t ha-1) and it responded sensitively to sowing date. Its highest yield
(12.788 t ha-1; P < 0.05) could be obtained with SD3. FAO 350 and FAO 420 hybrids provided
stable yields without any significant effect of SD. The highest yield was provided by the FAO
420 hybrid (13.494 t ha-1) with a wide SD interval (4th April – 10th May). The obtained findings
help farmers in making grounded decisions to obtain high and stable yield under the changed
climatic circumstances. The obtained findings help farmers in making grounded decisions to
obtain high and stable yield under the changed climatic circumstances.
Kirjeldus
Märksõnad
climate change, air temperature, CERES-Maize model, computer simulation, articles