| Journal: | Anais da Academia Brasileira de Ciencias |
| Database: | PERIÓDICA |
| System number: | 000436137 |
| ISSN: | 0001-3765 |
| Authors: | Moura, Suzany S1 Franca, Luiz T1 Pereira, Vitor S1 Teodoro, Paulo Eduardo1 Baio, Fábio H.R1 |
| Institutions: | 1Universidade Federal de Mato Grosso do Sul, Departamento de Agronomia, Chapadao do Sul, Mato Grosso do Sul. Brasil |
| Year: | 2020 |
| Volumen: | 92 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | This work aimed to study different seeding rates in soybean, at management zones determined by the mapping of the soil apparent electrical conductivity (ECa) and its relationships with plant phenology and grain yield (GY). The experiment consisted of a completely randomized design, with six replications. The plant population ranged between 311,000, 360,000, and 422,000 plants ha-1, and the fixed population (360,000 plants ha-1). The management zone with the least yield potential, received the highest seed population. The management zone with the highest plant vigor potential, received the lowest seed population. The variables plant height, Normalized Difference Vegetation Index (NDVI) at 50, 66, and 92 days after emergence (DAE), one hundred-grain weight, and GY were analyzed. ECa maps can be used to decide the seed population of the soybean. The decision strategy of increasing 20% of the seed soybean population on the smaller ECa map zones, and decreasing 20% seed population on higher ECa zones was effective and resulted in similar GY, even with the negative pressure of the high resistance of penetration (RP) values in some zones. GY map variability was influenced by ECa 0-0.2 m, by NDVI at 92 DAE and by RP 0.4-0.6 m soil layer |
| Disciplines: | Agrociencias |
| Keyword: | Suelos, Leguminosas, Agricultura de precisión, Suelos agrícolas, Conductividad eléctrica, Resistencia a la penetración, Semillas, Indice de vegetación, Soya |
| Keyword: | Soils, Legumes, Precision agriculture, Agricultural soils, Penetration resistance, Electric conductivity, Seeds, Vegetation index, Soybean |
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