Spatial Variability and Statistical Analysis of Soil Properties in the Rice Wheat-Based Systems of North-West India-Reference-Cited by-同舟云学术

Spatial Variability and Statistical Analysis of Soil Properties in the Rice Wheat-Based Systems of North-West India

Published:2023-12-20 Issue: Volume: Page:1-19
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Jangir Chetan Kumar¹,Sangwan PS²,Panghaal Dheeraj²,Kumar Sandeep³,Meena Ram Swaroop⁴,Bharti ⁵,Jat Ram Dhan⁶,Singh Narendra⁷

Affiliation:

1. Division of Soil Science, ICAR-National Research Centre on Seed Spices, Ajmer, India

2. Department of Soil Science, Chaudhary Charan Singh Haryana Agriculture University, Hisar, India

3. ICAR-Indian Agricultural Research Institute, Regional Station, Karnal, India

4. Department of Agronomy, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India

5. Division of sample surveys, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India

6. Department of Agronomy, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India

7. Indian Agricultural Research Institute, Division of fruits and horticultural technology, ICAR-IARI, New Delhi, India

Funder

Indian Council of Agricultural Research

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2023.2296989

Reference56 articles.

1. Changes In Soil Physical Properties And Crop Productivity As Influenced By Different Tillage Depths And Cropping Patterns

2. Temporal and Spatial Development of Surface Soil Conditions at Two Created Riverine Marshes

3. Identifying critical limits for soil quality indicators in agro-ecosystems

4. Effects of fertilizer treatments on soil chemical properties and crop yields in a Cassava-based Cropping System;Ayoola O. T.;Research Journal of Applied Sciences,2006

5. Modelling Farm Growth and Its Impact on Agricultural Land Use: A Country Scale Application of an Agent-Based Model

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