scholarly journals Reclamation of High Residual Sodium Carbonate Water with Commercial Sulphuric Acid for Sustainable Cropping and Soil Conservation

2016 ◽  
Vol 49 (4) ◽  
pp. 5-14
Author(s):  
S. Ali ◽  
S.A. Raza ◽  
Z. Sarwar ◽  
M.S. Sani

Abstract A study was carried out in field experimental area of directorate of land reclamation Punjab, Lahore, to investigate the effect of experimentally quantified commercial sulphuric acid (76%) on residual sodium carbonate (RSC) of water, soil quality and crop yield. The findings were clear indications of effectiveness of acid injection approach to treat water. The sulphuric acid application reduced the RSC value of 6.1 to nil by making (T2) slight change in EC of water. This treated water not only improved the soil quality by decreasing its calcareousness from 20 to 17.2 making soil soft while the same increased to 23 in control (T1), where not acid amendment was done. Similarly, SAR of soil was also restricted from an increase by acid treated water rather than the control set of experiment. To make RSC nil, 5.19 liters of sulphuric acids were injected in water for 3 acre inch irrigation. An increase of 16.65% in grain yield of wheat crop was observed upon harvesting in T2, in comparison with control. Ascorbic acid and total phenolic contents (TPC) were also high in T2, followed by T3 and T1. All the changes in soil parameters and crop yield were found statistically significant.

2021 ◽  
Vol 22 (3) ◽  
pp. 315-324
Author(s):  
Rajendiran S. Selladurai ◽  
Mohan Lal Dotaniya ◽  
M Vassanda Coumar ◽  
Samaresh Kundu ◽  
Nishant Kumar Sinha ◽  
...  

Soil quality degradation is a major threat to any agricultural production system. Therefore periodical monitoring of soil quality status is inevitable for sustainable management of agricultural production systems. Though there are various methods available to assess the soil quality, simple and management oriented methods are necessary. The current investigation aimed to evaluate soil quality of tribal areas of central India adopting minimum dataset of 15 soil physical, chemical and biological parameters. A novel scoring technique was followed to score soil quality indicators based on its relation with crop yield, degree of variation and percent deficiency. Relative soil quality index (RSQI) was calculated and was correlated with crop productivity. Most of the soils in the region had poor soil quality (77.2% in Jhabua, 85.4% in Alirajpur and 67.2% in Dhar) with low crop yield. The major constraints of crop production in these areas were low soil organic carbon (<0.5%), available N (<280 kg ha-1), S (<10 mg kg-1), P (<10 kg ha-1), Zn (<0.5 mg kg-1), dehydogenase activity (10 ?g TPF g-1 24 h-1) and soil depth (<1 m). Adopting sustainable management practices could improve soil quality and crop productivity. This new approach is simple and systematic; this principle can be easily adoptable to other locations, and principally focuses on management related and soil parameters that constraint to production and ecological functions.


Author(s):  
Muhammad Dawood ◽  
Syed Tansir Hussain Shah ◽  
Muhammad Imran ◽  
Muhammad Faraz Anwar ◽  
Muhammad Nawaz ◽  
...  

Agriculture is the back bone of Pakistan’s economy of Pakistan with 21 % contribution to GDP and providing livelihood to about 45 % of the total labor force of the country. The industry of Pakistan is mainly agro based (Economic survey of Pakistan, 2009-10). Due to change in climate and thereby extended drought, surface water resources of the country had reduced by 70% in 2003, compared with normal years (Kahlown et al., 2003). Unfortunately, canal water is not sufficient to meet requirements of soil and crop under intensive cropping system. A water quality study has shown that out of 560,000 tube wells in Indus Basin, about 70% are pumping sodic water which in turn is affecting the soil health and crop yield (Kahlown et al., 2003).The ground waters of different areas and depths have different types of salts which deteriorate the soil accordingly (Masood and Gohre, 2000). It is also reported that 73.38% (681) of the 922 water samples analyzed by the soil and water laboratory Vehari during the year 2006-07, were unfit for irrigation purpose, while 11.93% (110) were marginally fit and only14.21 (131) were found fit for irrigation purpose (Ashraf et al., 2008). According to the estimates, discharge of 50-60 % of the existing wells was brackish in nature (Ashraf et al., 2009) and still more formidable figures of Lahore district declaring that groundwater of 76.6% villages of the district was detrimental for crops and soil health (Ali et al., 2009).According to Shakir et al. (2002), 64 water samples were collected from new tube well bores from various locations of district Kasur to check the quality of under-groundwater for irrigation purpose. The results show that electrical conductivity of the samples varied from 524 to 5700 μS cm-1, sodium adsorption ration of the samples ranged from 0.49 to 26.00, while residual sodium carbonate ranged from 0.00 to 17.00 meL-1. Out of 64 samples, 26 samples were fit, 8 marginally fit and 30 unfit for irrigation.The successful crop production on sustainable basis, mainly depends on the quality of groundwater. The common characteristics considered are electrical conductivity (EC), sodium adsorption rations (SAR) and residual sodium carbonate (RSC) (Idris and Shafiq, 1999). The concentration and composition of dissolved constituents in water determine its quality for irrigation use. It is difficult to define the critical limits of EC, RSC and SAR because the effect of different qualities of water of soil health and crop yield is also governed by the type of soil, climate and management practices (Singh et al., 1992).Gravity of the situation of groundwater of the majority districts of Pakistan implies that something will have to be done without further loss of time to prevent the rapid conversion of productive fertile lands of Pakistan into unproductive barren lands. Besides, making investment on creating awareness among farming community about bio-saline technology/ saline agriculture by the private and public sectors, a watchful eye on the quality and quantity of ground water of every district of Pakistan by all the stakeholders and timely tackling the detrimental impact of brackish groundwater by using the available technology to the possible extent is imperative.


Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 646
Author(s):  
Bini Darwin ◽  
Pamela Dharmaraj ◽  
Shajin Prince ◽  
Daniela Elena Popescu ◽  
Duraisamy Jude Hemanth

Precision agriculture is a crucial way to achieve greater yields by utilizing the natural deposits in a diverse environment. The yield of a crop may vary from year to year depending on the variations in climate, soil parameters and fertilizers used. Automation in the agricultural industry moderates the usage of resources and can increase the quality of food in the post-pandemic world. Agricultural robots have been developed for crop seeding, monitoring, weed control, pest management and harvesting. Physical counting of fruitlets, flowers or fruits at various phases of growth is labour intensive as well as an expensive procedure for crop yield estimation. Remote sensing technologies offer accuracy and reliability in crop yield prediction and estimation. The automation in image analysis with computer vision and deep learning models provides precise field and yield maps. In this review, it has been observed that the application of deep learning techniques has provided a better accuracy for smart farming. The crops taken for the study are fruits such as grapes, apples, citrus, tomatoes and vegetables such as sugarcane, corn, soybean, cucumber, maize, wheat. The research works which are carried out in this research paper are available as products for applications such as robot harvesting, weed detection and pest infestation. The methods which made use of conventional deep learning techniques have provided an average accuracy of 92.51%. This paper elucidates the diverse automation approaches for crop yield detection techniques with virtual analysis and classifier approaches. Technical hitches in the deep learning techniques have progressed with limitations and future investigations are also surveyed. This work highlights the machine vision and deep learning models which need to be explored for improving automated precision farming expressly during this pandemic.


1975 ◽  
Vol 28 (3) ◽  
pp. 673 ◽  
Author(s):  
DJ Collins ◽  
C Lewis ◽  
JM Swan

Treatment of cyclododecane-r-1,c-5,c-9-triyl tris(p-toluenesulphonate) with sodium azide in dimethyl-formamide at 100� for 6 h gave the corresponding cis,cis-triazide which upon hydrogenation or reduction with lithium aluminium hydride gave cyclododecane-r-1,c-5,c-9-triamine, isolated as the tris-salicylidene derivative. Acid hydrolysis of this, removal of the salicylaldehyde, and treatment of the aqueous solution with sodium carbonate and 2,3-dimethoxybenzoyl chloride gave r-1,c-5,c- 9-tris(2,3-dimethoxybenzamido)cyclododecane. ��� Treatment of (E,E,E)-cyclododeca-1,5,9-triene with an excess of acetonitrile and sulphuric acid at room temperature for three days gave 18% of (E,E)-1-acetamidocyclododeca-4,8-diene; no di- or tri-amides were isolated.


2008 ◽  
Vol 57 (4) ◽  
pp. 463-469 ◽  
Author(s):  
Davor Romic ◽  
Gabrijel Ondrasek ◽  
Marija Romic ◽  
Borosic Josip ◽  
Mijo Vranjes ◽  
...  

2020 ◽  
pp. 31-67
Author(s):  
V. S. Stolbovoy ◽  
A. M. Grebennikov

The study presents three groups of Soil Quality Indicators (SQI) of arable lands in the Russian Federation, such as agroclimate conditions, soil parameters and negative soil characteristics. The selection of SQI meets the requirements of the crop growth model for calculating the standard crop yield. The application of SQI in the Grain Equivalent Model allows ranking quality of the soils of agricultural lands in the country. The share of the best quality Chernozems with the standard yield of grain crops exceeding 4 t/ha is about 10%. At the same time, arable Chernozems occupy nearly 66% of total area of agricultural lands. More than 74% of the arable lands including podzolized and leached Chernozems in the northern part and Chernozems southern in the southern part of the agricultural zone are characterized by medium quality with the standard yield of grain crops 2-4 t/ha. About 10% of the arable land occupied by Chestnut solonetzic and saline soils are of poorer quality with the standard yield of grain crops less than 1 t/ha. The proposed indicators are included in the government programs for valuating and monitoring the quality of agricultural lands. The universal validity of indicators is a basis for the development of a new generation of standards for the protection and rational use of soils based on modern digital technologies and GIS approaches.


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