| Journal: | Scientia Agricola |
| Database: | PERIÓDICA |
| System number: | 000455454 |
| ISSN: | 0103-9016 |
| Authors: | Catelan, Michelle Gimenes1 Marques-Junior, José2 Siqueira, Diego Silva2 Gomes, Romário Pimenta2 Bahia, Angélica Santos Rabelo de Souza2 |
| Institutions: | 1Usina Sao Martinho, Pradopolis, Sao Paulo. Brasil 2Universidade Estadual Paulista "Julio de Mesquita Filho", Faculdade de Ciencias Agrarias e Veterinarias, Jaboticabal, Sao Paulo. Brasil |
| Year: | 2022 |
| Volumen: | 79 |
| Number: | 4 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, prospectivo |
| English abstract | The concept of production environments, which is widely used to classify the yield potential of soils, and magnetic susceptibility (MS), is emerging as an important tool for mapping ultra-detailed areas. Given this background, this paper aims to evaluate the use of MS as a tool for the identification of areas with different potential the enhancing of sugarcane yield and quality, and the allocation of varieties. An area of 445 ha was sampled at 1 point every 7 ha, and 14 points were determined for stratified sampling following the top of the landscape. Particle size and MS of samples at depths of 0.0-0.2 and 0.2-0.4 m were analyzed. The data on yield and quality of raw material were obtained from a nine crop season database and biometry performed in the 2018/19 crop season. The multivariate analysis of historical results showed the formation of three groups with different yield and quality potential, with a difference of up to 17.28 mg of cane per hectare between the group with the highest and lowest potential, based on soil MS. An analysis of the performance of the varieties involved showed that MS is effective in identifying areas with different potential for sugarcane yield and quality, differentiating by up to 34.5 % the performance of the same variety in different MS classes and by up to 38.5 % the performance of different varieties in similar MS classes. Thus, MS is an effective tool for identifying areas with different potential for sugarcane yield and quality, and can be used for allocating varieties in the field |
| Disciplines: | Agrociencias, Geociencias |
| Keyword: | Suelos, Geofísica, Caña de azúcar, Saccharum officinarum, Híbridos, Edafología, Agricultura de precisión |
| Keyword: | Soils, Geophysics, Sugar cane, Hybrids, Saccharum officinarum, Hybrids, Edaphology, Precision agriculture |
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