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PAKISTAN: AT A GLANCE Area 877406 sq.km Population 169 millions   Female:Male  100:108 Province Four Climate Diverse Crops cotton, wheat, rice Sugar cane, citrus and many more
Silk Route
Dravidian Civilization (2800 BC) Hindus and Nature Worshipers Harappa City
Mohenjo-Daro City Sewer drain
Civilization destroyed by Aryan Invasion Drought Salinity
Present-day Hindu God : Shiva
Alphabets
Kushan-Gandhara Civilization (200 BC) Buddhist  Texla City Vihara (temple) and University
Buddha Persian/Greek
Muslim culture (900 BC
Decedents of the Alexander the great
 
Nitrate pollution in  vegetable-soil-water ecosystems Muhammad M. Qureshi Institute of Pure and Applied Biology Bahauddin Zakariya University Multan, Pakistan
INTRODUCTION
Excessive N fertilization of crops is considered by producers as an insurance against yield losses in Pakistan. High nitrate content sewer water for irrigating crops is common in Pakistan. Increasing nitrate concentration in vegetables, soil and drinking is a public health concern.
Nitrate by itself is non-toxic, however, its metabolites are related to  Gastric cancer ,  Methaemoglobinaemia  (blue babies syndrome in infants and elderly people),   and  blocking of iodide uptake  (neuro-transmitter).   The USEPA has set a standard for 10 ppm nitrate in drinking water.
 
Thus, a reduction of nitrate pollution in plant-soil-water ecosystems is highly desirable. The present study was conducted to evaluate the extent of nitrate pollution in vegetable-soil-water ecosystems of Punjab, Pakistan
MATERIALS AND METHODS
Data collection Collection of vegetables Summer and winter vegetables were collected from all 35 districts in Punjab, Pakistan. In each district, 9  markets and agricultural fields were selected to collect: Carrot, Eggplant, Okra, Onion, Potato, Radish, Spinach, Squash, Tomato,  and Turnip. Total number of vegetables =  35 x 9 x 2 = 630
Sample collection points from different localities in Punjab, Pakistan
Data collection…... Collection of soil samples Soil samples were randomly collected from all  35  districts. In each district, 4 soil samples were collected at  0 - 15, 15 - 30, 30 - 60, 60 - 90 , and  90 - 120  cm depth. Total number of soil samples =  35 x 4 x 5 => 700
Data collection.... Collection of water Water samples were randomly collected from all  35  districts in summer and winter. In each district,  20  samples of  5  different types of water samples were collected.
Data collection..... The water samples collected from Water & Sanitation Authority = Deep well water (~ 400 ft) Medium Depth Pump = Medium well water (~ 200 ft) Shallow Depth Pump = Shallow well water (~ 100 ft)  Tube-well = Water collected from rural areas (~ 300 ft) Bottled water = As standard Total number of samples =  35 x 2 x 20 => 1400
Sample analysis Vegetables were analyzed for N itrate,  phosphorus, potassium, iron,  manganese, zinc, copper  and boron content Soils were analyzed for N itrate,  pH, organic matter, Ec, phosphorus,  potassium, iron, manganese, zinc, copper  and  boron content
Sample analysis………. Water samples were analyzed for Nitrate,  pH, Ec, bi-carbonate, carbonate, residual sodium carbonates,  sodium absorption ratio, chloride, sulfate, calcium/magnesium, sodium, phosphorus, potassium, iron, manganese, zinc, copper  and boron content
Data organization and statistical analyses Vegetable, soil and water data were organized and a number of  suitable predictor variables  were created for  multi-variate statistics . The variables were: Division - Different locations Population density - High, medium and low Season - Summer and winter Types of water Types of vegetables  Agricultural intensity - High, moderate, and low Sewer water use - High, moderate, and low Types of soil, and soil depth
Data organization and statistical analyses…. Multi-variate statistics  were performed as follows: Mean and standard error of mean Analysis of variance Repeated analysis Duncan multiple range test (DMRT) To evaluate predictor variables   Simple and interactive effects on nitrate pollution of vegetables, soil and water samples
RESULTS AND DISCUSSION
Nitrate concentration in winter vegetables
Nitrate concentration in summer vegetables
Nitrate concentration in seasonal vegetables as  influenced by agricultural activities
Nitrate concentration in seasonal vegetables as  influenced by sewer water-use irrigation
Nitrate concentration in seasonal vegetables as  influenced by soil texture
Soil nitrate concentration
Seasonal variation in soil nitrate concentration in different divisions (cities)
Seasonal variation in soil nitrate concentration as  influenced by agricultural activities
Seasonal variation in soil nitrate concentration  in response to sewer water irrigation
Seasonal variation in soil nitrate concentration as influenced by soil texture
Nitrate concentration in different textured soil as  influenced by agricultural activities
Seasonal variation in soil nitrate concentration as influenced by soil texture
Water nitrate concentration
Nitrate concentration of drinking water sources in different divisions (cities)
Seasonal variation in nitrate concentration of drinking water sources
Nitrate pollution of drinking water sources as influenced by agricultural activities
Nitrate pollution of drinking water sources as influenced by sewer water-use
Nitrate pollution of drinking water sources as influenced by soil texture
Conclusions Greater Ag-intensity and sewer water use for irrigation significantly increased nitrate pollution. Among the winter vegetables, nitrate accumulation was highest  (> 5000 ppm ) in radish/spinach and lowest  (<1000 ppm ) in potatoes. Among the summer vegetables, nitrate accumulation was highest  (~ 2000 ppm ) in eggplant and lowest  (<1000 ppm ) in tomatoes.
Conclusions….. Averaged across soils, wide-spread nitrate accumulation was found at 2 - 3 feet deep The nitrate pollution was more pronounced in Sandy Clay Loam than other soils
Conclusions….. Except deep well, nitrate pollution was more abundant in medium, shallow and tube-well water The medium, shallow and tube-well drinking water sources were easily affected by agricultural intensity, and sewer water use for irrigating crops
 

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Mobashir's presentation

  • 1. PAKISTAN: AT A GLANCE Area 877406 sq.km Population 169 millions Female:Male 100:108 Province Four Climate Diverse Crops cotton, wheat, rice Sugar cane, citrus and many more
  • 3. Dravidian Civilization (2800 BC) Hindus and Nature Worshipers Harappa City
  • 5. Civilization destroyed by Aryan Invasion Drought Salinity
  • 8. Kushan-Gandhara Civilization (200 BC) Buddhist Texla City Vihara (temple) and University
  • 11. Decedents of the Alexander the great
  • 12.  
  • 13. Nitrate pollution in vegetable-soil-water ecosystems Muhammad M. Qureshi Institute of Pure and Applied Biology Bahauddin Zakariya University Multan, Pakistan
  • 15. Excessive N fertilization of crops is considered by producers as an insurance against yield losses in Pakistan. High nitrate content sewer water for irrigating crops is common in Pakistan. Increasing nitrate concentration in vegetables, soil and drinking is a public health concern.
  • 16. Nitrate by itself is non-toxic, however, its metabolites are related to Gastric cancer , Methaemoglobinaemia (blue babies syndrome in infants and elderly people), and blocking of iodide uptake (neuro-transmitter). The USEPA has set a standard for 10 ppm nitrate in drinking water.
  • 17.  
  • 18. Thus, a reduction of nitrate pollution in plant-soil-water ecosystems is highly desirable. The present study was conducted to evaluate the extent of nitrate pollution in vegetable-soil-water ecosystems of Punjab, Pakistan
  • 20. Data collection Collection of vegetables Summer and winter vegetables were collected from all 35 districts in Punjab, Pakistan. In each district, 9 markets and agricultural fields were selected to collect: Carrot, Eggplant, Okra, Onion, Potato, Radish, Spinach, Squash, Tomato, and Turnip. Total number of vegetables = 35 x 9 x 2 = 630
  • 21. Sample collection points from different localities in Punjab, Pakistan
  • 22. Data collection…... Collection of soil samples Soil samples were randomly collected from all 35 districts. In each district, 4 soil samples were collected at 0 - 15, 15 - 30, 30 - 60, 60 - 90 , and 90 - 120 cm depth. Total number of soil samples = 35 x 4 x 5 => 700
  • 23. Data collection.... Collection of water Water samples were randomly collected from all 35 districts in summer and winter. In each district, 20 samples of 5 different types of water samples were collected.
  • 24. Data collection..... The water samples collected from Water & Sanitation Authority = Deep well water (~ 400 ft) Medium Depth Pump = Medium well water (~ 200 ft) Shallow Depth Pump = Shallow well water (~ 100 ft) Tube-well = Water collected from rural areas (~ 300 ft) Bottled water = As standard Total number of samples = 35 x 2 x 20 => 1400
  • 25. Sample analysis Vegetables were analyzed for N itrate, phosphorus, potassium, iron, manganese, zinc, copper and boron content Soils were analyzed for N itrate, pH, organic matter, Ec, phosphorus, potassium, iron, manganese, zinc, copper and boron content
  • 26. Sample analysis………. Water samples were analyzed for Nitrate, pH, Ec, bi-carbonate, carbonate, residual sodium carbonates, sodium absorption ratio, chloride, sulfate, calcium/magnesium, sodium, phosphorus, potassium, iron, manganese, zinc, copper and boron content
  • 27. Data organization and statistical analyses Vegetable, soil and water data were organized and a number of suitable predictor variables were created for multi-variate statistics . The variables were: Division - Different locations Population density - High, medium and low Season - Summer and winter Types of water Types of vegetables Agricultural intensity - High, moderate, and low Sewer water use - High, moderate, and low Types of soil, and soil depth
  • 28. Data organization and statistical analyses…. Multi-variate statistics were performed as follows: Mean and standard error of mean Analysis of variance Repeated analysis Duncan multiple range test (DMRT) To evaluate predictor variables Simple and interactive effects on nitrate pollution of vegetables, soil and water samples
  • 30. Nitrate concentration in winter vegetables
  • 31. Nitrate concentration in summer vegetables
  • 32. Nitrate concentration in seasonal vegetables as influenced by agricultural activities
  • 33. Nitrate concentration in seasonal vegetables as influenced by sewer water-use irrigation
  • 34. Nitrate concentration in seasonal vegetables as influenced by soil texture
  • 36. Seasonal variation in soil nitrate concentration in different divisions (cities)
  • 37. Seasonal variation in soil nitrate concentration as influenced by agricultural activities
  • 38. Seasonal variation in soil nitrate concentration in response to sewer water irrigation
  • 39. Seasonal variation in soil nitrate concentration as influenced by soil texture
  • 40. Nitrate concentration in different textured soil as influenced by agricultural activities
  • 41. Seasonal variation in soil nitrate concentration as influenced by soil texture
  • 43. Nitrate concentration of drinking water sources in different divisions (cities)
  • 44. Seasonal variation in nitrate concentration of drinking water sources
  • 45. Nitrate pollution of drinking water sources as influenced by agricultural activities
  • 46. Nitrate pollution of drinking water sources as influenced by sewer water-use
  • 47. Nitrate pollution of drinking water sources as influenced by soil texture
  • 48. Conclusions Greater Ag-intensity and sewer water use for irrigation significantly increased nitrate pollution. Among the winter vegetables, nitrate accumulation was highest (> 5000 ppm ) in radish/spinach and lowest (<1000 ppm ) in potatoes. Among the summer vegetables, nitrate accumulation was highest (~ 2000 ppm ) in eggplant and lowest (<1000 ppm ) in tomatoes.
  • 49. Conclusions….. Averaged across soils, wide-spread nitrate accumulation was found at 2 - 3 feet deep The nitrate pollution was more pronounced in Sandy Clay Loam than other soils
  • 50. Conclusions….. Except deep well, nitrate pollution was more abundant in medium, shallow and tube-well water The medium, shallow and tube-well drinking water sources were easily affected by agricultural intensity, and sewer water use for irrigating crops
  • 51.