scholarly journals Sugarcane yield and quality using soil magnetic susceptibility

2022 ◽  
Vol 79 (4) ◽  
Author(s):  
Michelle Gimenes Catelan ◽  
José Marques Júnior ◽  
Diego Silva Siqueira ◽  
Romário Pimenta Gomes ◽  
Angélica Santos Rabelo de Souza Bahia
2021 ◽  
Vol 108 ◽  
pp. 103191
Author(s):  
Julierme Zimmer Barbosa ◽  
Giovana Poggere ◽  
Sérgio Henrique Godinho Silva ◽  
Marcelo Mancini ◽  
Antonio Carlos Vargas Motta ◽  
...  

2016 ◽  
Vol 51 (9) ◽  
pp. 1349-1358 ◽  
Author(s):  
Diego Silva Siqueira ◽  
José Marques Júnior ◽  
Daniel De Bortoli Teixeira ◽  
Sammy Sidney Rocha Matias ◽  
Livia Arantes Camargo ◽  
...  

Abstract The objective of this work was to evaluate the use of magnetic susceptibility for characterizing the spatial variability of soil attributes and identifying areas with different potentials for sugarcane (Saccharum spp.) production. Samples were collected at 110 points (1 per 7 ha) in the layers of 0.00-0.20 and 0.20-0.40 m, to determine the magnetic susceptibility and physical and chemical attributes of the soil. Fiber content, sucrose polarization (POL), and sugarcane yield were determined in 33 points. The spatial variability model for magnetic susceptibility was 63 and 22% more accurate in delimiting soil potential for sugarcane production than soil physical and chemical attributes at the 0.0-0.2 and 0.2-0.4-m layers, respectively. The spatial variability map for magnetic susceptibility was strongly correlated with clay (0.83 and 0.89, respectively, for the layers) and sand contents (-0.84 and -0.88); moderately correlated with organic matter (-0.25 and -0.35), sum of bases (-0.46 and 0.37), cation exchange capacity (0.22 and 0.47), pH (-0.52 and 0.13), and POL (0.43 and 0.53); and weakly correlated with sugarcane yield (0.26 and 0.23). Magnetic susceptibility can be used to characterize the spatial variability of soil attributes and to identify areas with different potentials for sugarcane production.


2010 ◽  
Vol 61 (4) ◽  
pp. 469-478 ◽  
Author(s):  
D. Simpson ◽  
M. Van Meirvenne ◽  
E. Lück ◽  
J. Rühlmann ◽  
T. Saey ◽  
...  

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