Browsing by Author "M. Manjubala"

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Beneficial effects of bio-fabricated selenium nanoparticles as seed nanopriming agent on seed germination in rice (Oryza sativa L.)
(Nature Research, 2023) Jyotsna Setty; Sanjib Bal Samant; Mayank Kumar Yadav; M. Manjubala; Vijai Pandurangam
Climate change and increasing population pressure have put the agriculture sector in an arduous situation. With increasing demand for agricultural production overuse of inputs have accentuated the negative impact on environment. Hence, sustainable agriculture is gaining prominence in recent times with an emphasis on judicious and optimum use of resources. The field of nanotechnology can immensely help in achieving sustainability in agriculture at various levels. Use of nutrients and plant protection chemicals in nano-form can increase their efficacy even at reduced doses thus decreasing their pernicious impact. Seed priming is one of the important agronomic practices with widely reported positive impacts on germination, seedling growth and pathogen resistance. In the current study, the effect and efficacy of selenium nanoparticles synthesized using phyto-extracts as a seed priming agent is studied. This nanopriming enhanced the germination, hastened the seedling emergence and growth with an increase in seedling vigour and nutrient status. This eco-friendly and economical method of synthesizing nanoparticles of various nutrient minerals can optimize the resource use thus helping in sustainable agriculture by reducing environment damage without compromising on efficacy. © 2023, The Author(s).
Economics of Oil Seed Exports in India: An Application of Holt-Forecasts
(AESSRA, 2022) T. Kumareswaran; V. Kamalvanshi; P.S. Badal; M. Manjubala; Avdhesh Sharma
This article intended to examine the export performance of oil seed crops in India from 1987 to 2019 using the Compound Annual Growth Rate (CAGR), Cuddy-Della Valle instability index, as well as forecast export quantity and value to 2025. The analysis focuses mainly on two major oil seed crops: groundnut and soyabean. The research of oil seed crop export growth trends over time revealed a positive growth rate for both export quantity and export unit value. The potential for Indian oil seed crop in the world market during the post-liberalization period were shown by the strong growth rates of soyabean goods combined with high export instability indices. When compared to soyabean, the annual growth rate of groundnut was the lowest, with instability showing a wide range across the entire period. Holt models were created in this paper to estimate oil seed export quantity and prices, with the top models chosen by comparing Akaike Information Criteria (AIC), Mean Absolute Percent Error (MAPE). Further, groundnut export quantity and price forecasts showed positive development throughout the forecast period, whereas, soyabean export price forecasts showed a 0.01 percent increase from 2021 to 2025. To improve the worldwide performance of the Indian oil seed industry, the government should make appropriate amendments to oil seed export policies and domestic supportive measures, as well as adopt appropriate value adds and market diversification strategies. © 2022 Economic Affairs (New Delhi). All rights reserved.
Innovative polygon trend analyses to detect trends for domestic and export onion prices
(Taylor and Francis Ltd., 2024) Jhade Sunil; Abhishek Singh; M. Manjubala; Kuldeep Rajpoot
Analyzing trends can provide insights into price behavior to predict future change. The primary objective was to examine prospective changes in monthly price over the entire period, between 2008 and 2021 using parametric and non-parametric techniques. Four domestic markets were chosen based on the maximum arrival of onions (Allium cepa L.) in Maharashtra and the Indian export market. Some markets fit the linear regression model; the errors do not conform to parametric assumptions, requiring application of distribution-free techniques. Using the mean of prices, Innovative Polygon Trend Analyses (IPTA) was applied. The IPTA plots for all domestic markets indicated upward trends in almost all months with regular polygons, with the exception of the export market. Plots indicated peak arrival months in markets exhibiting a narrower polygon structure, while lean arrival months showed a broader polygon. When results of trend analysis based on other tests were compared to the IPTA technique, there was good agreement across all approaches. The export market exhibited the least variability in prices, and the average monthly price ranges from 127.90 to 334.56 USD∙Mt−1. Post-monsoon and harvest months exhibited the highest average prices. Based on comparisons of trend analysis techniques, the IPTA methodology places a strong emphasis on identifying trends and offers insight through a visual examination of trend patterns. © 2023 Taylor & Francis Group, LLC.
Optimising sowing window for Sorghum bicolor L. and Panicum sumatrense L. in semiarid tropics
(Crea Journals, 2021) R. Deepika; C. Swaminathan; P. Kannan; N.K. Sathyamoorthy; M. Manjubala
Rain-dependant farming is prevalent in semiarid tropics and in Southern parts of India; farmers widely cultivate sorghum without scientific understanding of distribution as well probable receipt of rainfall. There is lack of knowledge about correct ‘sowing window’ which often leads to low yield and complete crop failure. The objective of this paper was to assess the quantum of rainfall received during the last 20 years and determine the probable on set and continuity of rainfall on weekly basis so as to raise a crop under rain-dependant situations. The field experiment was laid out in Factorial Randomized Block Design (FRBD) with 3 replications and data were statistically analysed in AGRES software. The treatments comprised of Sorghum (Sorghum bicolor L.) (C1) and little millet (Panicum sumatrense L.) (C2) as factor one (crops) and sowing window based on standard meteorological week (SMW) viz., sowing at 31st SMW based on farmer’s practice (M1), Sowing at 33rd SMW based on 50% rainfall probability with 100% recommended doses of fertilizers (M2), Sowing at 38th SMW based on 75% rainfall probability with 100% recommended doses of Nitrogen, Phosphorus and potassium (M3), Sowing window based on current weather forecast-35th SMW (M4), as factor two. The study indicated Sorghum (C1) sowing on 38th standard meteorological week (M3) is ideal to get maximum yield under rainfed condition. © 2021, Crea Journals. All rights reserved.