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Vol. 12, Issue 11 (2023)

Production potential of soybean (Glycine max L. Merril) under resource constraints

Author(s):
Shaikh HM, Karle AS, Shinde LR, Jadhav AT and Sabne KS
Abstract:
The field experiment was carried out at the Experimental Farm Agronomy Section, College of Agriculture, Latur, during the Kharif season of 2021 in order to assess the losses resulting from production restrictions in soybeans and to analyze the impact of different constraints on the growth and yield attributes of soybeans. The pH of the clay-textured, somewhat alkaline soil in the experimental plot was 7.8, and its chemical composition included low levels of available nitrogen (125.30 kg ha-1) and medium levels of available phosphorus (18.20 kg ha-1) as well as high levels of available potassium (498.58 kg ha-1). Because of its good drainage, it was ideal for growth. Eight treatments, each with three replications, were included in the Randomized Block Design trial setup. The adoption of the whole package of procedures (T1) resulted in higher growth, yield attributes, and seed yield (2148 kg ha-1) in soybean production, according to the results. When compared to the whole package of activities, weeding was shown to be the most important limitation of the single production element, causing yield losses of up to 33%. Plant protection came in second with 25% and RDF with 20%. RDF + weeding (T5), RDF + plant protection (T6), and weeding + plant protection (T7) were shown to be the two main production restrictions in soybean production, resulting in yield losses of up to 45%, 35%, and 60%, respectively. In comparison to the full package of practices (T1), the combination of the three factor production constraints RDF, weed management, and plant protection caused a 70% reduction in yield.
Pages: 1184-1186  |  113 Views  51 Downloads


The Pharma Innovation Journal
How to cite this article:
Shaikh HM, Karle AS, Shinde LR, Jadhav AT, Sabne KS. Production potential of soybean (Glycine max L. Merril) under resource constraints. Pharma Innovation 2023;12(11):1184-1186.

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