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Effects of solar radiation and night temperature on potential maize yield in two different crop years
Views:152Hungary's climate is undergoing change, and the heat unit (GDD) values have increased annually in the past nearly 50 years. In this study, we evaluate the performance of a maize hybrid in normal (2021) and drought (2022) crop years, along with the optimal agrotechnical factors (drip irrigation and high nutrient). In the potential experiment, we obtained a yield of 20.65t/ha in 2021 and 13.8t/ha in 2022. We examined the reasons for the large (33%) yield difference between the two years. By breaking down the weather data daily, it can be determined that the solar radiation (SR) and sunshine duration during the V6-V8 stage have an effect, and cloud cover affects the development of the reproductive organs of maize (ear differentiation). In the two years studied, we measured a significant difference in the SR value in the V6-V12 development stages (36% and 30% less SR was measured in 2022 vs 2021). The higher temperature (R1-R6) (2022) accelerated the phenological development of maize, so maize reached the black layer formation faster. The results indicate that in the future, we must also address the responses of maize to temperature changes with different levels of solar radiation and their dry matter incorporation dynamics.
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Precision maize stand analysis using remote sensing methods: plant density measurement with spectral data integration
Views:88The aim of this study was to use remote sensing with a drone equipped with a multispectral camera to take a stand survey of maize after the phenological stage of emergence, and to count the number of emerged plants and determine its accuracy. Our investigations were carried out at the University of Debrecen, Látókép Production Experimental Station in a sowing date long-term experiment. In the 2024 growing season, Sowing Date I was on 4 April and Sowing Date II on 12 April. The same maize hybrids with 8-8 different genotypes were used for each sowing date. There is a strong correlation between number of plants/plot and number of plants/rowx2 for the two plant density measurements presented in this paper, with an r value of 0.977*** (p < 0.001). Among the plant density and NDVI values, the correlation between number of plants/rowx2 at the second measurement time (July 4) was significant at r=-0.418***. The analysis of the relationship between number of rows and yield showed that the hybrids included in the study compensated well for differences in number of rows due to sowing or emergence and this did not translate into an increase or decrease in yield. By using the plant density count method and results to identify emergence imbalances, farmers can correct their crop stand management strategies in a timely manner. Knowing the exact number of plants can also be important for subsequent agrotechnical decisions.