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Research Detail

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Md. Aminul Islam
MS student
Department of Agricultural Botany,Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh

Dr. Mohammad Humayun Kabir Howlader
Professor and Research supervisor
Department of Agricultural Botany,Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh

The experiment was conducted at the Research Field under the Department of Agricultural Botany, Patuakhali Science and Technology University (PSTU), Dumki, Patuakhali during the period from July 2013 to December 2013 to evaluate the local T. Aman aromatic rice genotypes to find out the most productive genotype regarding growth and yield performance under the Patuakhali region. The five local T. aman aromatic rice genotypes viz., V1: Kataribhog, V2: Radhunipagal, V3: Kalizira, V4: Shakhorkhana and V5: Chinigura were used as planting materials for the present study. The single factor experiment was laid out in Randomized Complete Block Design with three replications. The collected data were analyzed statistically and means were adjusted by Duncans Multiple Range Test at 5% level of probability. Genotypic performance of the study revealed that all the studied traits were statistically significant whereas Chinigura showed better performance than the other aromatic genotypes while Radhunipagal showed lowest performance. In case of the genotype Chinigura, the taller plant height was found at vegetative (155.20 cm) and reproductive (165.00 cm) stages with more total tillers (12.03 and 12.67 hill-1) and effective tillers (10.53 hill-1) than other aromatic genotypes while Radhunipagal was the least.  The genotype Chinigura also produced significantly the higher result on Leaf area (818.50 cm2), Leaf area Index (2.05) and Total Dry Matter (19.92 g hill-1) at vegetative stage. Similarly, total and filled grains panicle had higher in Chinigura (126.80 and 119.10) with an average minimum unfilled grains panicle (7.70) while Radhunipagal registered the lower performance. However, kataribhog showed the higher performance on panicle length, 1000 grain weight and harvest index (25.28 cm and 13.36 g and 36.51%, respectively) than other genotypes.  Yield characters such as grain, straw and biological yield had also higher (2.61, 5.34 and 7.95 t ha-1, respectively) in Chinigura due to tallest plant, maximum total and productive tillers, more total and filled grains panicle-1 were recorded. Hence, it is suggested that the genotype Chinigura would be most productive among the studied aromatic local genotypes under the regional condition of Patuakhali region.   

  Gowth, Yeld, Aromatic, T. Aman rice, Genotype
  Research Field under the Department of Agricultural Botany, Patuakhali Science and Technology University (PSTU)
  00-07-2013
  00-12-2013
  Crop-Soil-Water Management
  Rice

1. To determine the morpho–physiological, yield and yield contributing traits as influence by different Aromatic T. Aman rice genotypes

2. To identify the most productive Aromatic variety on the aspect of better growth, development and greater yield of selected T. Aman genotypes

The experiment was conducted at the Research Field under the Department of Agricultural Botany, Patuakhali Science and Technology University (PSTU), Dumki, Patuakhali during the period from July 2013 to December 2013 to judgment out the most productive genotypes on the aspect of morpho–physiological, yield and yield attributing traits of T. Aman Aromatic rice genotypes.The seeds of five T Aman Aromatic rice genotypes were used as planting materials which were collected from various sources such as the Farmers of the different villages of Patuakhali, Branch office of Bangladesh Rice Research Institute (BRRI), Barisal and Bangladesh Rice Research Institute (BRRI), Joydebpur, Gazipur–1701. The selected five Aromatic T. Aman rice genotypes are

V1: Kataribhog

V2: Radhunipagal

V3: Kalizira

V4: Shakhorkhana

V5:

The experiment consisted of five rice varieties and was laid out in Randomized Completely Block Design (RCBD) with three replications. The size of plot was 4.0 × 2.5 m where block to block and plot to plot distance was 1.0 and 0.5 m, respectively. Row to row and plant to plant distance were also 20 and 20 cm, respectively, in each plot. So, the total plots were 15 (varieties 5 × replication 3).

Measurement of yield and yield contributing characters

Plant height (cm)

The effective plant height was considered from ground level to the tip of the leaf at vegetative phase and panicle at harvest stage. Plant height data was measured by a meter scale and converted into cm.

 

Number of total tillers per hill

Number of total tillers hill–1 were recorded from the following calculation

Number of total tillers= number of effective tillers + non effective tillers

Number of effective tillers per hill

The panicles which had at least one grain was considered as effective tiller. The number of effective tillers of 5 hills was recorded and expressed as effective tillers number hill–1.

 Number of non–effective tillers hill

The tiller having no panicle was regarded as ineffective tiller. The number of ineffective tillers 5 hills–1 was recorded and was expressed as non–effective tiller number hill–1.

 

 Leaf area index (LAI)

The leaf area of one hill was measured by an automatic leaf area meter. Leaf area of the rest five hills were calculated from the leaf dry weight of respective hills multiplying with the ratio of the leaf area of measured hills and its dry weight. Then the leaf area was expressed as average of five. Finally leaf area index (LAI) was calculated as follows–

Where, LA = leaf area (cm2), P = ground area (20 cm × 15 cm = 300 cm2 plant–1)

Total dry matter (TDM) weight

The plant parts such as leaves, stems, roots and panicles were detached and were kept separately in oven at 82O C for 72 hours. The oven dried samples were weighed for dry matter production. The total dry matter production was calculated from the summation of dry matter produced by leaves, stem, roots, panicles and weight of grain per plants in gram at different days after transplanting.

Crop growth rate (CGR)

The CGR value of crops were calculated for the period of 60–75 DAT and 75–90 DAT. Rate of dry matter production per unit of time per unit of ground area was calculated with the following formula:

 

 Panicle length (cm)

Panicle length was measured by a meter scale from the basal node of the rachis to the apex of each panicle from the randomly selected 5 hills and their average was recorded and converted into cm.

 

Number of total grains per panicle

Number of total grains panicle–1 were recorded by the following formula

Number of total grains= Number of filled grains + number of unfilled grains

Number of filled grains per panicle

Filled grain was considered to be filled if any kernel was present there in. Number of filled grain was recorded from randomly selected 5 hills and converted into filled grains panicle–1.

 Number of unfilled grain panicle

Number of unfilled grains panicle–1 means the absence of any kernel inside in and such grains present on each hill were counted from the randomly selected 5 hill.

 1000–grain weight (g)

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

Grain yield (t ha–1)

Grain yield was determined from the whole plot and expressed as t ha–1 on 12% moisture basis. Grain moisture content was measured by using a digital moisture tester.

Straw yield (t ha–1)

Straw yield was determined from the whole plot. After threshing, the sub–sample was oven dried to a constant weight and finally converted to t ha–1.

 Biological yield (t ha–1)

Biological yield is the sum of grain and straw yield which was recorded into kg plot–1 and finally converted into t ha–1. The biological yield was calculated by using the following formula:

Biological yield= Grain yield + straw yield

Harvest index (%)

Harvest index is the ratio of the economic yield to the total biological yield of a crop. The harvest index was calculated by using the following formula:

Harvest index (%) =

Where,           Economic yield = Grain yield

Biological yield = Grain yield + Straw yield

 Statistical analyses

Data recorded for morpho–physiological, yield and yield contributing characters were compiled and tabulated in proper form for statistical analyses. Analysis of variance was done following the Randomized Complete Block Design with the help of MSTAT–C package programme developed by Russel (1986). The mean differences among the treatments were evaluated with DMRT test (Gomez and Gomez, 1984).

Chiniguri

  MS Thesis
  
Funding Source:
  

The cultivar Chinigura exhibited the superior performance of almost all studied traits however the tallest plant, most total and productive tillers, higher TDM, more total and filled grains panicle–1, higher yield of grain, straw and biological were achieved. So, it could concluded that the genotype Chinigura would be most productive among the studied Aromatic local genotypes under the agro–ecological zone AEZ–13.

 

  Thesis
  


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