Soil chemical attributes restricting grain yield in Oxisols under no-tillage system

Abstract

The objective of this work was to identify soil chemical attributes restricting grain yield in Oxisols under the no-tillage system, using directed soil sampling. High, medium, and low yield zones were defined in two agricultural fields using historical yield data of several crops. The yield zones were defined based on the harvest maps of the following crops: corn in 2008/2009, white oat in 2009, and corn in 2012/2013 in field I, with 117.70 ha; and corn in 2009/2010, soybean in 2010/2011, and wheat in 2012 in field II, with 107.30 ha. Soil sampling points were georeferenced in each yield zone, where samples were collected at eight soil depths, spaced 0.05 m apart, totaling 80 variables. Low yields were associated with low cation exchange capacity, low phosphorus and organic matter contents, and high clay content. In both studied fields, the highest organic matter content in the subsurface layers was the main indicator of high yield. Soil sampling considering yield zones is an efficient strategy to identify chemical attributes restricting grain yield and also allows guiding more precise site-specific interventions.

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

“…Therefore, this cluster is linked with increasing efficiency and crop productivity. The analysis of spatial variability is, indeed, a key factor for increasing food production [ 112 ] and farmers’ economic revenues [ 113 ]. The mapping of soil heterogeneity has contributed to enhance soil data and to make geostatistics become a fundamental tool in agricultural management [ 114 ].…”

Agricultura de precisão: ferramenta de gestão na rentabilidade e produtividade de grãos

“…Com base os resultados obtidos, os autores constataram que os valores dos alcances da dependência espacial a serem utilizados devem estar entre 38,1 m e 114,7 m, para trabalhos que vislumbrem a utilização dos mesmos atributos do seu estudo, voltados à agricultura de precisão. Corassa et al (2018) identificaram os atributos químicos do solo restritivos à produtividade de grãos em Latossolos sob sistema plantio direto, com uso de amostragem de solo dirigida e concluíram que quando as zonas de produtividade são consideradas na amostragem de solo, é uma maneira efetiva para se identificar os atributos químicos restritivos à produtividade de grãos, além de oferecer orientações quanto a intervenções sitioespecíficas mais precisas.…”

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

“…The information obtained through 'MANAGEMENT ZONES', for instance, contributes for monitoring soil properties at agricultural sites. This is a key factor for increase food production [100] and farmers' economic returns [101]. The mapping of soil heterogeneity have been contributing for the use of 'MANAGEMENT ZONES' and 'GEOSTATISTICS' as tools in agricultural management [102].…”