Variability of physical properties of soil and rice grown under cover crops in crop-livestock integrated system

Trevisan, Rodrigo; Freddi, Onã da Silva; Wruck, F. J.; Tavanti, Renan Francisco Rimoldi; Peres, Fernanda Salles Cunha

doi:10.1590/1678-4499.596

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…In addition, the principal components analysis was performed in order to verify the set of attributes that explained most of the maize grain yield variability. For this, data were standardized for mean 0 and variance 1 and then submitted to principal component analysis (PCA), considering only the main components (PC's) with eigenvalues greater than 1 (Trevisan et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Nutritional Status and Productive Components of Maize Fertilized With Sewage Sludge

Breda¹,

Tavanti²,

Freddi³

et al. 2018

JAS

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The response of crops to the application of biofertilizers in the soil is not yet well established. Therefore, we carried out this study with the objective of evaluating the productive potential of maize fertilized with doses of sewage sludge, comparing with the use of mineral fertilizer over four agricultural seasons. The experiment was conducted in a Red Dystroferric Nitosol (Ultisol) in a randomized block design and repeated measures in time. The treatments consisted of five doses of sewage sludge and one treatment using nitrogen, phosphorus and potassium in formulation. All fertilizations were carried out at maize sowing at four planting times (summer and 2nd crop of 1st agricultural year and, summer and 2nd crop of 2nd agricultural year) and replicates. The results showed a cumulative increase in the P, Ca, Mg and Zn leaf concentrations over the four seasons crops, when the sewage sludge was used in the 30 and 40 Mg ha-1 doses. However, reductions in plant height, weight and maize cob diameter, mass and grain yield were observed at the end of the last harvest. The treated sewage sludge is a viable alternative for maize fertilization in the first harvest, provides increases in grain yield in the order of 1.35 Mg ha-1 and can be recommended instead of NPK mineral fertilizers in built-up fertility soils.

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Section: Methodsmentioning

confidence: 99%

Nutritional Status and Productive Components of Maize Fertilized With Sewage Sludge

Breda¹,

Tavanti²,

Freddi³

et al. 2018

JAS

Self Cite

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“…Burak, Passos and Andrade (2012), used geostatistics and principal component analysis to verify that attributes related to acid-base reactions had the most influence on the spatial variability of a soil cultivated with coffee, since these correlated with the principal component having the greatest explanatory power. Principal component analysis was also used by Trevisan et al (2017) to evaluate the spatial variability of the physical properties of the soil and of rice production under different cover crops, making it possible to reduce the analysed variables to three principal components which were then used to generate management zones.…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis applied to evaluate the spatial variability of a soil subjected to conservation management

Costa,

Silva,

Fonseca

et al. 2024

RCA

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Monitoring the spatial variability of soil attributes is an important tool in crop management. Multivariate statistical methods and geostatistics were jointly applied to evaluate the infl uence of diff erent attributes on spatial variability in the soil. The aim of this research was to apply multivariate principal component analysis to map the spatial variability of the soil in an area subjected to diff erent methods of conservation management and identify the most relevant physical and chemical attributes. Disturbed and undisturbed soil samples were collected and georeferenced at 99 diff erent points in the study area at depths of 0.00 -0.10 m and 0.10 -0.20 m to measure the physical and chemical attributes of the soil; multivariate principal component analysis (PC) was then applied to the data.Geostatistics was applied to the PCs showing greater explanatory capacity, evaluating spatial dependence, and generating maps of spatial variability. The variance in the soil attributes was explained by the fi rst eight PCs. Soil density, particle density and pH had the greatest infl uence on the spatial variability of the soil since they showed the highest correlation with the PC with the greatest explanatory power. The PCs that correlated with at least two of the soil attributes showed moderate (PC1 and PC6) and strong (PC2, PC4 and PC5) spatial dependence. The generated maps helped identify the joint infl uence of the variability of the most relevant attributes, making it possible to characterise regions under diff erent methods of conservation management.

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Least limiting water as a soil indicator in an integrated crop-livestock systems of the Cerrado, Brazil

et al. 2019

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Variability of physical properties of soil and rice grown under cover crops in crop-livestock integrated system

Cited by 5 publications

References 13 publications

Nutritional Status and Productive Components of Maize Fertilized With Sewage Sludge

Nutritional Status and Productive Components of Maize Fertilized With Sewage Sludge

Multivariate analysis applied to evaluate the spatial variability of a soil subjected to conservation management

Least limiting water as a soil indicator in an integrated crop-livestock systems of the Cerrado, Brazil

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