Analyzing Alternatives for Managing Nitrogen in Puddled Transplanted Rice in a Semi-Arid Area of India

Author:

Suman Anurag Singh1,Mishra Amit2ORCID,Shukla Gaurav1,Sah Dinesh1,Chandra Umesh1,Chaubey Anand Kumar1,Mishra Bhanu Prakash1,Pathak Jagannath1,Panwar Gurusharan1

Affiliation:

1. Banda University of Agriculture and Technology, Banda 210001, Uttar Pradesh, India

2. College of Post Graduate Studies in Agricultural Science, Central Agricultural University-Imphal, Umiam 793103, Meghalaya, India

Abstract

The Bundelkhand region of India falls under a semi-arid climate and is not typical for rice cultivation. Rice cultivation has been expanding in heavy-textured soils with limited water irrigation. The experiment was carried out with a split-plot design with main factor transplanting methods (line and random transplanting) and subfactor six nitrogenmanagement options (omissionN (ON), farmers’fertilizer practice (FFP), state fertilizer recommendation (SFR), IRRI Leaf Color Chart (LCC), Panjab Agriculture University (PAU-LCC) and Rice Crop Manager (RCM) replicated thrice on heavy-textured soil at the student’s research farm, Banda University of Agriculture & Technology, Banda during the wet season of 2020 and 2021. IRRI LCC and PAU LCC also had significantly higher growth parameters and yield attributes for augmenting better farm livelihoods. The two-year average significant increases in grain yield of puddled transplanted rice by IRRI LLC (24.8% and 9.1%), PAU LCC (26.8% and 10.8%) and RCM (20.0% and 4.9%) over FFP and SFR, respectively. The two-year mean agronomic efficiency was found to be significantly better with IRRI LCC (57.5% and 39.6%), PAU LCC (52.1% and 34.8%) and RCM (57.6% and 39.7%) compared to FFP and SFR, respectively. Similarly, Kg N uptake Kg N applied−1 was significantly better with both the LCC and RCM-guided nitrogen application than FFP and SFR. Moreover, it was discovered that N management using SSNM choices reduced total GHG generation. According to our research, the farmers were applying nearly identical amounts of nitrogen, and SSNM tools allow for the efficient management of nitrogen in semi-arid regions by adjusting the timing of application and splitting.

Funder

Banda University of Agriculture & Technology

Publisher

MDPI AG

Reference36 articles.

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