Preprint Article Version 1 This version is not peer-reviewed

Soil Sensor Use in Delimiting Management Zones for Sowing Maize in No-Till

Version 1 : Received: 2 October 2024 / Approved: 3 October 2024 / Online: 4 October 2024 (08:15:31 CEST)

How to cite: Bottega, E. L.; Pinto, E. B.; Saretta, E.; Oliveira, Z. B. D.; Severo, F. S.; Assmann, J. Soil Sensor Use in Delimiting Management Zones for Sowing Maize in No-Till. Preprints 2024, 2024100295. https://doi.org/10.20944/preprints202410.0295.v1 Bottega, E. L.; Pinto, E. B.; Saretta, E.; Oliveira, Z. B. D.; Severo, F. S.; Assmann, J. Soil Sensor Use in Delimiting Management Zones for Sowing Maize in No-Till. Preprints 2024, 2024100295. https://doi.org/10.20944/preprints202410.0295.v1

Abstract

This study aimed to analyze the productive behavior of the maize crop, cultivated at different population densities, in management zones (MZ) delimited based on mapping the spatial variability of the soil apparent electrical conductivity (ECa). The soil ECa was measured and two MZs were subsequently delimited, one with low and the other with high ECa. In each MZ, four maize sowing densities were tested: 60,000 (D1); 80,000 (D2); 100,000 (D3) and 140,000 (D4) seeds ha-1. Ear length, number of grains per ear, number of grains per row, number of rows per ear, thousand-grain weight, and yield were evaluated. The increase in sowing density in the high ECa MZ linearly reduced the values of ear diameter, number of rows per ear, number of grains per ear and thousand-grain weight. Sowing density D3, when implemented in the low ECa MZ, showed higher values for the ear length, ear diameter, number of grains per row, number of grains per ear, and thousand-grain weight. Sowing density D2 was the one with the highest yield, regardless of the MZ where it was implemented (5,628.48 kg ha-1 in the high ECa management zone and 4,463.63 kg ha-1 in the low ECa).

Keywords

Zea mays; precision agriculture; apparent soil electrical conductivity

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

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