Effects of different sub-soiling frequencies incorporated into no-tillage systems on soil properties and crop yield in dryland wheat-maize rotation system

2017 ◽  
Vol 209 ◽  
pp. 151-158 ◽  
Author(s):  
Yujiao Zhang ◽  
Rui Wang ◽  
Shulan Wang ◽  
Hao Wang ◽  
Zonggui Xu ◽  
...  
2019 ◽  
Vol 194 ◽  
pp. 104316 ◽  
Author(s):  
Daiane dos Santos Soares ◽  
Maria Lucrecia Gerosa Ramos ◽  
Robélio Leandro Marchão ◽  
Giovana Alcântara Maciel ◽  
Alexsandra Duarte de Oliveira ◽  
...  

2010 ◽  
Vol 34 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Osvaldo Guedes Filho ◽  
Sidney Rosa Vieira ◽  
Márcio Koiti Chiba ◽  
César Hideo Nagumo ◽  
Sônia Carmela Falci Dechen

Soil properties are closely related with crop production and spite of the measures implemented, spatial variation has been repeatedly observed and described. Identifying and describing spatial variations of soil properties and their effects on crop yield can be a powerful decision-making tool in specific land management systems. The objective of this research was to characterize the spatial and temporal variations in crop yield and chemical and physical properties of a Rhodic Hapludox soil under no-tillage. The studied area of 3.42 ha had been cultivated since 1985 under no-tillage crop rotation in summer and winter. Yield and soil property were sampled in a regular 10 x 10 m grid, with 302 sample points. Yields of several crops were analyzed (soybean, maize, triticale, hyacinth bean and castor bean) as well as soil chemical (pH, Soil Organic Matter (SOM), P, Ca2+, Mg2+, H + Al, B, Fe, Mn, Zn, CEC, sum of bases (SB), and base saturation (V %)) and soil physical properties (saturated hydraulic conductivity, texture, density, total porosity, and mechanical penetration resistance). Data were analyzed using geostatistical analysis procedures and maps based on interpolation by kriging. Great variation in crop yields was observed in the years evaluated. The yield values in the Northern region of the study area were high in some years. Crop yields and some physical and soil chemical properties were spatially correlated.


2018 ◽  
Vol 268 ◽  
pp. 144-153 ◽  
Author(s):  
Yawen Huang ◽  
Wei Ren ◽  
Lixin Wang ◽  
Dafeng Hui ◽  
John H. Grove ◽  
...  

1993 ◽  
Vol 26 (2) ◽  
pp. 151-162 ◽  
Author(s):  
J.L. Pikul ◽  
R.E. Ramig ◽  
D.E. Wilkins

2010 ◽  
Vol 34 (6) ◽  
pp. 1787-1793 ◽  
Author(s):  
Carina Rosa Álvarez ◽  
Federico Guillermo Micucci ◽  
Carolina Bustingorri ◽  
Miguel Angel Taboada

The Proctor test is time-consuming and requires sampling of several kilograms of soil. Proctor test parameters were predicted in Mollisols, Entisols and Vertisols of the Pampean region of Argentina under different management systems. They were estimated from a minimum number of readily available soil properties (soil texture, total organic C) and management (training data set; n = 73). The results were used to generate a soil compaction susceptibility model, which was subsequently validated using a second group of independent data (test data set; n = 24). Soil maximum bulk density was estimated as follows: Maximum bulk density (Mg m-3) = 1.4756 - 0.00599 total organic C (g kg-1) + 0.0000275 sand (g kg-1) + 0.0539 management. Management was equal to 0 for uncropped and untilled soils and 1 for conventionally tilled soils. The established models predicted the Proctor test parameters reasonably well, based on readily available soil properties. Tillage systems induced changes in the maximum bulk density regardless of total organic matter content or soil texture. The lower maximum apparent bulk density values under no-tillage require a revision of the relative compaction thresholds for different no-tillage crops.


Author(s):  
Raghavendra Madar ◽  
Yudhvir Singh ◽  
Mahesh Chand Meena ◽  
Sunita Gaind ◽  
Tapas Kumar Das ◽  
...  

jpa ◽  
1988 ◽  
Vol 1 (3) ◽  
pp. 202-206 ◽  
Author(s):  
O. B. Hesterman ◽  
F. J. Pierce ◽  
E. C. Rossman

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