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Research Detail

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GOUTAM CHANDRA DAS
MS student
Department of Agronomy, Patuakhali Science and Technology University, Patuakhali-8602, Bangladesh

Dr. Swadesh Chandra Samanta
Professor and Research supervisor
Department of Agronomy, Patuakhali Science and Technology University, Patuakhali-8602, Bangladesh

The experiment was conducted at the Agronomy Field Laboratory, Patuakhali Science and Technology University, Patuakhali during the period from April to August 2013 to study the effect of sowing method and variety on the yield and yield components of Aus rice where six varieties viz. BR2, BRRI dhan27, BRRI dhan48, Kaliboro, Kalihaita and Tepu and two sowing methods viz. broadcasting and line sowing were used under the tidal ecosystem. The factorial experiment was laid out in a split-plot design with three replications. Results revealed that line sowing had the tallest plant and the highest number of tillers hill-1 than broadcasting at all stages from 60 days after sowing to harvest. Line sowing also gave the highest LAI (3.89), DM (31.17), number of internodes (5.72), outer diameter (0.83 mm and 0.81 mm) and thickness (0.39 mm and 0.40 mm) of lower first and second internode, respectively; total number of tillers hill-1 (4.31), total number of spikelets panicle-1 (102.33), panicle length (21.60 cm), 1000 grain weight (25.33 g), grain yield (3.29 t ha-1), straw yield (6.12 t ha-1) and biological yield (9.41 t ha-1) than broadcasting method. On the other hand broadcasting resulted the maximum lodging at all stages. Broadcasting also gave the highest length (6.08 cm and 10.25 cm), fresh weight (1.28 g and 1.70 g), inner diameter (0.47 mm and 0.44 mm) of lower first and second internode and harvest index (37.04%). Among the varieties the highest LAI (5.568), 1000-grain weight (29.73 g), grains panicle-1 (106), grain yield (3.71 t ha-1), straw yield (8.62 t ha-1) and biological yield (12.34 t ha-1) were recorded from BRRI dhan48. The lowest LAI (2.17) and thickness (0.29 mm) of lower second internode, effective tillers hill-1 (3.34), grains panicle-1 (51.17), total spikelets panicle-1 (62.67), grain yield (2.50 t ha-1) and biological yield (7.28 t ha-1) were recorded from Kalihaita. Kalihaita also gave the maximum lodging at 50% flowering and maturity stage due to higher plant height whereas minimum was recorded from BR2 at 50% flowering, milk and harvesting stage. Among the interaction between sowing method and variety, the highest thickness (0.45 mm) of lower first internode and grain yield (3.82 t ha-1) were recorded from BRRI dhan27 in line sowing. On the other hand, Kalihaita in broadcasting gave the lowest LAI (2.157), fresh weight (0.91 g), dry weight (0.09 g), outer diameter (0.57 mm) and inner diameter (0.32 mm) of lower second internode, grains panicle-1 (6.99), grain yield (2.37 t ha-1) and biological yield (6.61 t ha-1). BRRI dhan48 in line sowing gave the highest LAI (5.66), straw yield (8.73 t ha-1), biological yield (12.53 t ha-1), second highest grain yield (3.80 t ha-1) and second lowest harvest index (30.29%). Lodging score was also lower at both stages in case of BRRI dhan48 in line sowing. Results suggested that BRRI dhan48 is suitable in line sowing for higher yield under tidal ecosystem of Patuakhali.

  Sowing date, Aus rice, Tidal ecosystem
  At Agronomy Field Laboratory, Patuakhali Science and Technology University (PSTU)
  00-04-2013
  00-08-2013
  Crop-Soil-Water Management
  Rice

1. To identify the suitable sowing method for Aus rice in tidal ecosystem

2.To study the yield and yield attribute of different varieties of Aus rice

3. To study the interaction effect of sowing method and variety

The experiment was conducted at Agronomy Field Laboratory, Patuakhali Science and Technology University (PSTU), Dumki, Patuakhali during the period from April 2013 to August 2013 to investigate the effects of sowing method on different varieties of Aus rice under tidal ecosystem of Bangladesh.

Treatments

Two sets of treatments were included in the experiment as follows:

  1. Methods of sowing: 2
  1. Broadcasting
  2. Line sowing
  1. Varieties : 6
  1. BR2
  2. BRRI dhan27
  3. BRRI dhan48
  4. Kaliboro
  5. Kalihaita
  6. Tepu (control)

    Experimental design

    The experiment consisted of two sowing methods and six rice varieties and was laid out in a split–plot (sowing methods in the main plot and varieties in the sub–plot) design with three replications. Therefore, the total number of plots was 36 (2 ×6 × 3). The area of unit plot was 10 square meter (4 m x 2.5 m). Half meter distance was maintained between plots and one and half meter (1.5) between replications.
  7. Planting material

Six rice varieties (BR 2, BRRI dhan 27, BRRI dhan 48, Kalihaita, Kaliboro and Tepu) were used as planting material.

Variety

Source of collection

Plant type, grain color and size

Remarks

BR2

Dumki

Plant tall, grain golden in color and small in size

Modern variety and cultivated in some areas of southern Bangladesh

BRRI dhan 27

BADC, Barisal

Plant small, grain golden in color and bold in size

Modern variety and recommended for tidal ecosystem

BRRI dhan 48

BADC, Barisal

Plant small, grain golden in color and bold in size

Modern variety and cultivated in some areas of southern Bangladesh

Kalihaita

Mirzagong

Plant tall, grain blackish in color and medium in size

Traditional variety and recommended for tidal ecosystem

Kaliboro

Mirzagong

Plant tall, grain blackish in color and medium in size

Traditional variety and recommended for tidal ecosystem

Tepu

Dumki

Plant tall, grain golden in color and medium in size

Traditional variety and popular in Patuakhali region

Seed collection

Seeds of BRRI dhan48 and BRRI dhan27 were collected from Bangladesh Agricultural Development Corporation (BADC), Barisal, Bangladesh and those of Kalihaita and Kaliboro; BR2 and Tepu were collected from the local market of Dumki and Mirzagong, respectively

Data recording

Plant height and tiller number were counted at 15 days after interval from 60 days after sowing to harvesting. Five consecutive hills from each plot exclude the border hills and harvest area were uprooted avoiding border hills and washed them in running tap water. Then the plant samples were carried to the laboratory and plant height and number of tiller were recorded. The following data were collected.

  1. Crop growth characters
  1. Plant height (cm)
  2. Number of tiller hill-1
  3. Phenological character
  4. Leaf Area Index (LAI)
  5. Dry Matter
  6. Lodging score
  7. Number of internodes
  8. Length of lower two internodes (cm)
  9. Dry weight of lower two internodes (g)
  10. Diameter of lower two internodes (mm)
  11. Thickness of lower two internodes (mm)
  1. Yield and other characters
  1. Number of effective and  non-effective tillers hill-1
  2. Panicle length (cm)
  3. Number of fertile spikelets and sterile spikelets panicle-1
  4. Number of total spikelets panicle-1
  5. Thousand grain weight (g)
  6. Grain yield (t ha-1)
  7. Straw yield  (t ha-1)
  8. Biological yield  (t ha-1)
  9. Harvest Index (%)
  10. Flooding depth (cm)
  11. Crop growth characters
  12. Plant height (cm)

Plant height was measured in cm from the ground level to the tip of the longest leaf or panicle from 60 DAS at 15 days interval from 5 selected consecutive hills. Plant height data was measured in cm.

  1. Number of tiller hill-1

Number of tiller was counted from 60 DAS at 15 days interval from 5 selected consecutive hills.

  1. Phenological character

It includes 50% flowering and physiological maturity. These were measured by the visual observation in the field.

  1. Leaf Area Index

Six random hills plot-1 were selected making sure that the hills were surrounded by living hills. Soil was removed from the hill, taking precautions to keep the leaves from drying and curling before the leaf area was measured. From each hill, the second topmost tiller was used as the simple tiller. The leaf area of all leaves on the sample tiller was determined by Leaf Area Meter. Other green leaves were removed from the hill. The sample leaves and other leaves were dried and weighted separately. Then the leaf area was calculated by the following formula (Yoshida et al., 1976).

Where dry weight of all leaves = dry weight of sample leaves + dry weight of remaining leaves.

  1. Lodging related parameters

Lodging related parameters were measured from 3 hills collected for measuring LAI. There medium tillers were selected from each selected hill and data were collected from these selected individual tillers. The final data represented the average value of nine selected medium tillers from each plot (Mahabub et al., 2006).

  1. Number of internode

Internodes number was counted from the base of culm to the panicle neck node.

  1. Lengths of lower two internode

Length of lower two internodes were measured in cm by using scale.

  1. Fresh weight of lower two internode

Fresh weight of lower two internode of nine tillers were measured in gram by digital electrical balance.

  1. Diameters of lower two diameters

Outer and inner diameters of lower two internode were measured in mm by slide calipers.

  1. Dry weight of lower two internode

Internode of nine tillers were oven dried at 70 0C untilled the constant weight was obtained for recording dry weight.

  1. Thickness of lower two internode

Outer diameter minus inner diameter of lower two internode gave the thickness of those internodes.

                              Thickness = outer diameter – inner diameter.

  1. Dry matter at 50% flowering stage

The plant collected for measuring LAI was used for recording dry matter. The culm of all sample plants was oven dried at 70 0C until the constant weight was obtained for recording dry weight. Then the sum of culm and leaf weight was calculated, to record total dry mater.

  1. Lodging at 50% flowering, milk stage and maturity

    Lodging score at 50% flowering, milk stage and maturity was measured by 1-9 scale as suggested by IRRI (1988) as follows:

    Lodging condition

    score

    No plants were lodged

    1

    Less than 20% plants were lodged

    2

    20-40% plants were lodged

    3

    41-60 plants were lodged

    5

    61-80% plants were lodged

    7

    >80% plants were lodged

    9

    1. Yield and yield contributing characters

    Yield and yield contributing characters were recorded from 10 randomly selected hills plot-1 outside the harvest area excluding border rows and plants.

    1. Number of effective tillers hill-1

    The panicle which had at least one grain was considered as effective tiller.

    1. Number of non-effective tillers hill-1

    Only the non-bearing tillers were counted from each sample and then average of five samples was taken.

    1. Panicle length

    Length of panicle was measured from each panicle from the first node to the tip of the panicle and then average five of samples was taken & measured in cm.

    1. Number of grains  panicle-1

    Presence of any food material in the spikelet was considered as grain. Total number of grains of ten randomly selected panicles was counted. Average mean of grains of these ten panicles was taken as number of grains panicle-1.

    1. Number of sterile spikelets panicle-1

    Grains lacking any food material inside the grain were considered as sterile spikelet and such grains present on the each panicle were counted.

    1. Number of total spikelet’s panicle-1

    The number of grains panicle-1 plus the number of sterile spikelets panicle-1 gave the total number of spikelets panicle-1.

    1. Thousand grain weight

    One thousand grain cleaned dried seeds were counted randomly from the five sample plants of each plot and weighed by using a digital electric balance at the stage the grain retained 12% moisture and the mean weight was expressed in gram.

    1. Grain yield

    Grain yield was recorded from central 5 m2 area of each plot. The grain yield was adjusted to 12% moisture content. Grain moisture content was measured by using a digital moisture tester.

    1. Straw yield

    The fresh weight of straw of 5 m2 was recorded and then representative sample of straw was taken. The sample was oven dried at 70 0C for 72 hours. Then the oven dry weight of straw was calculated in t ha-1.

    1. Biological yield

    Grain yield and straw yields were all together regarded as biological yield. Biological yield was calculated with the following formula and expressed as percentages (%).

    Biological yield = Grain yield + Straw yield

    1. Harvest index

    Harvest index is the ratio of economic yield (i.e. grain yield) to biological yield and was calculated with the following formula (Gardner et al. 1985).

     

    1. Flooding depth

    Depth of water was measured in cm from first flooding to harvesting at 3 days interval by meter scale.

 

  MS Thesis
  
Funding Source:
  

Line sowing showed higher yield potential than broadcasting method and it needs further research to utilize its maximum potentiality. Though the highest yield was observed in BRRI dhan48, other variety like BRRI dhan27, BR2 and Tepu also showed higher yield which is important in socio economic aspect.

  Thesis
  


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