Crop performance, water use, economics and energy indices in rabi groundnut (Arachis hypogaea L.) under micro irrigation methods

Ramanjaneyulu, A.V.; Ramulu, V.; Ramana, M.V.; Mamatha, K.

doi:10.22438/jeb/43/2/mrn-1852

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Weedy check (control) recorded lowest net return (148669/ha). Our ndings were same like the results of Ramanjaneyulu et al (2022) who concluded that maximum net returns was obtained in the treatment were pre emergence herbicide and post emergence herbicide was applied. Our ndings are also accordingly to the ndings of (Mishra, 2020) and (Mavarkar et al 2015) who examined that net returns was minimum under untreated plot.…”

Section: Economicssupporting

confidence: 89%

Cultivating Success: A Comprehensive Analysis of Integrated Weed Management Strategies and Their Impact on Groundnut (Arachis hypogaea L.) Yield and Sustainability

Hussain,

Fatima,

Hammad

et al. 2023

Preprint

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Integrated weed management is a critical approach for controlling weeds in agricultural crops like groundnut (peanut) to minimize yield losses and maximize crop productivity. This approach combines various weed control strategies and methods to effectively manage weeds while minimizing the dependence on herbicides. The present study was also designed to evaluate the effects of integrated weed management in groundnut cultivation: (Arachis hypogaea L.) during summer season 2020-2021 at National Agricultural Research Centre Islamabd with combination of 10 weed management treatments in three replications. Pre-emergence application of S Metolachlor @ 2 L/ha and post emergence application of S Metolachlor @ 2 L /ha was applied on each of the replication. The weed control in terms of lowest weed density, lowest weed fresh weight, lowest weed dry matter, and best weed control efficiency depicted the efficiency of treatments to control weeds in the groundnut. The growth and yield attributes of groundnut viz, plant height, number of branches per plant, and pod yield/hectare were found higher as compared with other treatments. Although the treatment with organic mulch was also the best in terms of yield, the treatment with S Metolachlor at 2L/ha as a pre-emergence and Quizalofop-p at 2L/ha as a post-emergence had the highest maximum net monetary returns (394409 Rs/ha) and BC ratio (3.73). So, chemical control was recommended as most economically feasible weed management practice for groundnut in Pothwar Region of Pakistan.

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Section: Economicssupporting

confidence: 89%

Cultivating Success: A Comprehensive Analysis of Integrated Weed Management Strategies and Their Impact on Groundnut (Arachis hypogaea L.) Yield and Sustainability

Hussain,

Fatima,

Hammad

et al. 2023

Preprint

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“…Water plays a key role in plant growth and development, and the traditional irrigation method in China is large water irrigation, the monitoring of drought and irrigation or not depends on manual. This coarse mine irrigation method will not only waste water resources but also lead to soil salinization and loss of fertilizer [1][2]. The purpose of developing water-saving irrigation technology is to change people's traditional habit of watering the ground by irrigation, really start from the characteristics of crop water demand, and apply water directly to the soil near the plant roots to produce the maximum economic benefits of crops with the least amount of water [3][4].…”

Section: Introductionmentioning

confidence: 99%

Construction of an intelligent agricultural irrigation control platform based on PLC technology

Li,

Zhang,

Zhang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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This paper firstly constructs a PLC-based intelligent irrigation control system, analyzes the requirements of its system functions, and determines three major modules of the system: data acquisition module, intelligent irrigation module, and Web service module. Then the system fuzzy control process is determined. According to the moisture value collected by the soil moisture sensor, the average is taken, and the deviation and deviation change rate is obtained by calculating the difference with the set value, and the control value is obtained by querying the previously deposited fuzzy control table through a series of transformations, and the command is executed according to the program setting. The automatic irrigation requirement is achieved by controlling the solenoid valve on and off. Finally, the analysis of system functions in terms of sensor accuracy, system function testing, and temperature and air humidity prediction accuracy was carried out. Regarding sensor accuracy, the error of relative soil moisture content is within 3%, and the relative error of soil temperature is within 0.5. In the system control function test, the solenoid valve will open for irrigation when the soil relative water content is lower than 40% or higher than 70% of the warning range, and the lighting will be turned on when the light intensity is lower than 200 Lux, and the system control is in line with the expectation. The intelligent irrigation system is of great significance to agricultural development.

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“…Micro-irrigation is widely used around the world on the basis of its high irrigation water utilization and low energy consumption, and it also improves crop quality and yields [1]. However, this economic and environmental potential can be put at risk by inadequate treatment of the water used.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Filtration Characteristics and Sediment Distribution Influencing Factors of Sand Media Filters

Zhang,

Cai,

Zhai

et al. 2023

Water

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The sand media filter is a crucial component of micro-irrigation filtration systems. Investigating the effects of various factors on filtration performance and the migration patterns of sediment particles within the filter can enhance the healthy operation of sand media filters. This study, based on a sand media filter model, conducts indoor hydraulic experiments, selecting different experimental factors and observation indices for research under varying conditions. Results indicate that filter thickness and raw water concentration are positively correlated with the turbidity of filtered water samples, while changes in filtration rate have no obvious impact on turbidity. When filter thickness is large, particle content differs obviously from other filter thicknesses, and the effect of raw water concentration changes on particle content is similar to that of filter thickness changes. Sediment particle size distribution within the filter layer is primarily concentrated in the upper region. By focusing on the area situated 20 cm below the filter layer surface, the sediment retention rate reached 80% or higher at a depth of 20 cm below the filter layer surface. As the depth of the filter layer increases, the sediment retention characteristics show a decreasing trend for larger particle sizes and an increasing trend for smaller particle sizes. Head loss is positively correlated with filtration rate, raw water concentrations, and filter thickness changes. It is suggested that, when meeting micro-irrigation water quality requirements, the filter material particle size can be appropriately increased to improve filtration efficiency and reduce energy consumption. These research findings are highly significant for sand media filter material selection and working condition design.

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Crop performance, water use, economics and energy indices in rabi groundnut (Arachis hypogaea L.) under micro irrigation methods

Cited by 3 publications

References 14 publications

Cultivating Success: A Comprehensive Analysis of Integrated Weed Management Strategies and Their Impact on Groundnut (Arachis hypogaea L.) Yield and Sustainability

Cultivating Success: A Comprehensive Analysis of Integrated Weed Management Strategies and Their Impact on Groundnut (Arachis hypogaea L.) Yield and Sustainability

Construction of an intelligent agricultural irrigation control platform based on PLC technology

Experimental Study on the Filtration Characteristics and Sediment Distribution Influencing Factors of Sand Media Filters

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