Sensor based precise nitrogen application augmented productivity and profitability of mustard (Brassica juncea L.).


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 15 02 2024
accepted: 08 05 2024
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: epublish

Résumé

Unremitting decline in crop productivity and nutrient recovery are resulted due to dearth of need based fertilizer recommendation over blanket application apart from nitrogen pollution in several means. An advance nutrient management tactic, GreenSeeker (GS) has developed and used in many field crops following the principle of four "R" (right source, right amount at right time, and place) nutrients stewardship technologies. But no studies have been conducted for evaluation of GS in mustard for improving productivity, profitability and nutrient use efficiency (NUE) while minimizing environmental risks. With this objective, a study was planned to conduct an experiment in rabi season of 2021-22 and 2022-23 to assess optical sensor based nitrogen management in mustard over blanket recommendation. The experiment was comprised of ten N treatments including control in randomized block design in triplicates. Research findings indicated that application of GreenSeeker based N significantly improved all growth traits and yield parameters in Brassica juncea L. Per cent enhancement in seed yield, net monetary returns and benefit-cost ratio was higher as 19.3 and 64.5%, 125.1 & 36.2% and 58.8 & 24.4%, respectively under GS based multi split N application over RDF and control. Further, real time N management with GS acquired higher crop production efficiency (CPE) (19.9 kg/day) with lesser cost/kg production (Rs 15.7/kg). Split application of N using GS increased oil yield by 79.9 and 26% over control and recommended dose of fertilizer (RDF) with maximum oil content (42.3%), and increases soil organic carbon (SOC) content by 16.1% from its initial value. Moreover, GS crop sensor could be the probable solution to minimize the crop nitrogen requirement by 15-20% with a yield enhancement of about 18.7% over RDF.

Identifiants

pubmed: 38905173
doi: 10.1371/journal.pone.0304206
pii: PONE-D-24-05903
doi:

Substances chimiques

Nitrogen N762921K75
Fertilizers 0
Soil 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0304206

Informations de copyright

Copyright: © 2024 Meena et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Vasudev Meena (V)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Mohan Lal Dotaniya (ML)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Murli Dhar Meena (MD)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Ram Swaroop Jat (RS)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Mukesh Kumar Meena (MK)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Ram Lal Choudhary (RL)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Hari Singh Meena (HS)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Bheeru Lal Meena (BL)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

Pramod Kumar Rai (PK)

ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, India.

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Classifications MeSH