Correlations of soybean yield with soil porosity and bulk density of an Oxisol

Abstract

The spatial variability of soil physical attributes is important to indicate management practices that best suit agricultural areas. This study aimed to analyze spatial correlations between soybean grain yield and soil mass-volume relationships, in order to select which attribute is correlated with yield, as well as to evaluate the spatial variability of soil attributes and yield components of this crop, in an Oxisol under no-tillage system. The soil attributes analyzed (0.0-0.10 m and 0.10-0.20 m) were the following ones: soil bulk density (paraffin-coated clod and volumetric ring methods), particle density (volumetric flask and modified volumetric flask methods) and total porosity. The soybean yield components were evaluated as it follows: grain yield, number of pods per plant, number of grains per pod, mass of 100 grains, grain mass per plant, plant population and plant height. The total soil porosity, calculated by the relations between the bulk density (volumetric ring method) and particle density (volumetric flask), in the 0.10-0.20 m layer, was the best indicator of soybean grain yield under no-tillage conditions.

Effect of Farming Systems on Soil Carbon Sequestration and Crop Yield of Paddy (Oryza sativa L.) in Irrigated Rice Field

“…The parameters researched included soil volume weight by paraffin-clod method (Negro et al, 2018), texture by pipette method (Igaz et al, 2020), pH by potentiometric method (Lisak et al, 2015), soil C-organic by Walkley and Black method (Harahap et al, 2020), microbial biomass C by fumigationextraction method (Heuck et al, 2015), C-organic of rice plants by Walkley and Black method (Gunamantha et al, 2021), rice yield (Nyamai et al, 2012) in Indonesia. This was conducted with observations of 1,000 grain weight, productive tillers, number of clumps per hectare, and number of grains per panicle (Sari, 2023), root volume by volumetric method, and root weight by gravimetric method.…”