Sustainable cotton production through fertigation scheduling: A growth stage-based approach

Cotton cultivation in black soil regions faces challenges in optimizing nutrient use efficiency and maintaining soil health. This study was conducted to develop a fertigation schedule based on the crop growth nutrition curve for cotton to enhance sustainability. The suggested cultural practices are implemented and interventions comprised varying levels of recommended dose of fertilizers (RDF) through fertigation. Nutrients were supplied in stages: seedling stage (10 % NPK), vegetative stage (20 % NPK), square formation (30 % NPK), 50% flowering (20 % NPK) and boll formation and development stages (10 % NPK). The treatments included absolute control (T1) and various combinations of N, P and K at 75 %, 100 % and 125 % RDF levels (T2 to T8). Among all treatments, T8 (125 % potassium along with 100 % nitrogen and phosphorus), achieved the highest cotton yield. This suggests that increasing potassium levels through fertigation significantly enhances both crop productivity and soil health in black soils. These findings facilitate advancement of more effective fertigation methodologies that balance nutrient application with soil biological health, offering practical implications for sustainable cotton farming.

Authors

Institutions

Publication Details

Journal
Plant Science Today
Published
2025-04-20
DOI
https://doi.org/10.14719/pst.7459
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable cotton production through fertigation scheduling: A growth stage-based approach

S. Manoharan, M Elayarajan, Bhakiyathu Saliha B, V. Ravikumar et al.
Plant Science Today
Sustainable Supply Chain Management
article

Sustainable cotton production through fertigation scheduling: A growth stage-based approach

S. Manoharan, M Elayarajan, Bhakiyathu Saliha B, V. Ravikumar, K. Baskar, D Reethika
article en

Abstract

Cotton cultivation in black soil regions faces challenges in optimizing nutrient use efficiency and maintaining soil health. This study was conducted to develop a fertigation schedule based on the crop growth nutrition curve for cotton to enhance sustainability. The suggested cultural practices are implemented and interventions comprised varying levels of recommended dose of fertilizers (RDF) through fertigation. Nutrients were supplied in stages: seedling stage (10 % NPK), vegetative stage (20 % NPK), square formation (30 % NPK), 50% flowering (20 % NPK) and boll formation and development stages (10 % NPK). The treatments included absolute control (T1) and various combinations of N, P and K at 75 %, 100 % and 125 % RDF levels (T2 to T8). Among all treatments, T8 (125 % potassium along with 100 % nitrogen and phosphorus), achieved the highest cotton yield. This suggests that increasing potassium levels through fertigation significantly enhances both crop productivity and soil health in black soils. These findings facilitate advancement of more effective fertigation methodologies that balance nutrient application with soil biological health, offering practical implications for sustainable cotton farming.

Plant Science Today
Tamil Nadu Agricultural University (IN)
Indian Council of Agricultural Research
Openalex Percentile: Top 89%
Sustainable Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sustainable cotton production through fertigation scheduling: A growth stage-based approach — S. Manoharan, M Elayarajan, et al. · Plant Science Today (2025) | TGRS Research Map | TGRS