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Research Detail

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A. Chowdhury*
Department of Genetics and Plant Breeding; Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

A. Akter
Department of Horticulture, Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

M.S. Hossain
Department of Genetics and Plant Breeding; Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

J. Rahman
Department of Genetics and Plant Breeding; Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh

The major objective of most of the wheat breeding program is to developed of drought tolerant and high yielding varieties. In the present study 14 agro-physiological traits studied on thirty wheat genotypes. Mean performance, Variability, correlation matrix and path analysis were estimated on yield and different yield contributing characters in wheat genotypes. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits. In correlation study, significant negative association was recorded in days to starting of heading (DSH), days to starting of maturity (DSM) and root number (RN) while the non significant negative association for number of grains/spike (NGS), chlorophyll content (CC), dry matter content (DMC) and root length (RL).Grain yield per plant (GYPP) with plant height (PH), number of spike/m2 (NSM), number of spikelet/spike (NSS), peduncle length (PL) and weight of 1000 grains (TSW) show significant positive association, while leaf area index (LAI) show nonsignificant positive association Path analysis revealed that DSH, PH, NSM, NSS, NGS, DMC, PL and TSW had positive direct effect on yield per plant, on the other hand, DSM, CC, LAI, RL, and RN had negative direct effect on yield per plant. Variety Sonalika performed better under lower moisture content in the soil followed by BD-7617, BARI Gom 25, BARI Gom 23 and BD 7650.

  Characters association, Drought, Heritability, Genetic advance, Yield potentia
  Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka
  00-11-2013
  00-04-2014
  Risk Management in Agriculture
  Wheat

Discriminate function for selecting simultaneously several characters has proved to be very useful in such situation in crop improvement program. So in the context of the above-mentioned situation and in respect of wheat cultivation in Bangladesh, the present piece of work was undertaken with thirty wheat genotypes to study genetic variation among the genotypes for yield and different morpho-physiological traits in drought stress conditions, the genetic variability of the genotypes in drought condition and identify the potential drought tolerant genotype(s) for future breeding program. 

The present research work was conducted in the experimental field of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka during the period from November 2013 to April 2014 in rabi season. In this experiment 30 wheat genotypes were Akber, Kanchan, Sonalika, BARI Gom 20, BARI Gom 21, BARI Gom 22, BARI Gom 23, BARI Gom 24, BARI Gom 25, BARI Gom26, BD 478, BD 479, BD 481, BD 489, BD 492 , BD 7544, BD 7551, BD 7552, BD 7560, BD 7591, BD 7592, BD 7599, BD 7605, BD 7614, BD 7617, BD 7618, BD 7621, BD 7622, BD 7624, BD 7650. The purity and germination percentage of these seeds were leveled as 98% and 95%, respectively. These genotypes were collected from Wheat Research Centre (WRC) of Bangladesh Agricultural Research Institute (BARI), Joydebpur, Gazipur. Randomized Complete Block Design (RCBD) was used with 3 replications of the material. There were 90 unit plots altogether in the experiment. The size of the each plot was 2.0 m × 1.0 m. The distance maintained between two blocks and two plots were 1.0 m and 0.5 m, respectively. Seeds were sown continuously with maintaining 20 cm line to line distance and plant to plant 5 cm. Cowdung was applied @ 10 t ha-1 during 15 days before seeds sowing in the field. The entire amount of TSP, MoP and Gypsum, 2/3rd of urea (180, 50, 120, 220 kg/ha respectively) were applied during the final preparation of land. Rest of urea was top dressed after first irrigation (BARI, 2011). Fresh weight of grain was recorded plot wise from 1 m2 area. After harvesting the grains were dried, cleaned and weighed for individual plot. The weight was adjusted to a moisture content of 14%. Data was recorded on days to starting of heading, days to starting of maturity, plant height (cm), number of spikes/m2, number of spikelets/spike, number of grains/spike, chlorophyll content of 10 selected leaves, dry matter content, leaf area, peduncle length, root length, root number, weight of 1000 grains and grain yield per plant. 

Statistical analysis: The mean values of all the characters were calculated and analysis of variance was performed. The significance of the difference among the treatment means was estimated by the Duncan Multiple Range Test (DMRT) at a 5% level of probability (Gomez and Gomez 1984). Genotypic and phenotypic variances, heritability were estimated with the help of the formula suggested by Johnson et al. (1955). Genetic advance and genetic advance in percentage of mean were estimated with the help of the formula of Allard (1960) and Comstock and Robinson (1952). Genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were calculated by Burton (1952). The simple correlation was estimated of the 14 traits with the following formula (Singh and Chaudhary 1985). Path coefficient analysis was done according to the procedure employed by Dewey and Lu (1959) also quoted in Singh and Chaudhary (1985) using simple correlation values. 

  Journal of Science and Technology 16 (June 2018): 37-47
  
Funding Source:
1.   Budget:  
  

In consideration of yield and yield contributing characters of Sonalika perform better under drought condition followed by BD 7617, BARI Gom 25, BARI Gom 23 and BD 7650. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits indicating that high environmental influence on the studied characters. High heritability with high genetic advance in percentage of mean was found in number of spikes m-2, root length (cm), root number and grain yield per plant (g). Correlation analysis revealed that the characters plant height, number of spike/m2 , number of spikelts/spike, peduncle length and weight of 1000 grains had highly positive correlation with yield per plant and path analysis also showthat the characters plant height, number of spike/m2 , number of spikelts/spike, peduncle length and weight of 1000 grains had direct positive effect with yield per plant indicated that the further wheat crop improvement would be effective by selecting the characters . 

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