Profile of Dr. Shams Shaila Islam

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Dr. Shams Shaila Islam

Associate Professor

Department of Agronomy (AGN)

Faculty of Agriculture

Hajee Mohammad Danesh Science & Technology University, Dinajpur.

E-mail: shaila.hmdstu@gmail.com


CAREER OBJECTIVE

    I want to be a good human being and good researcher with continuing quality teaching and learning

RESEARCH INTEREST

    Crop Simulation Modeling by using DSSAT-CERES-Rice model, AMMI Crop Modeling, INFOCROP Growth Modeling with Stress Agronomy

EDUCATION

  1. Doctor of Philosophy (Ph. D) in Plant Science, 2020

    Prince of Songkla University, Hat Yai campus, Thailand

  2. Masters of Science in Agronomy, 2008

    Bangladesh Agricultural University, Mymensing

  3. Bachelor of Science in Agriculture (Honors), 2006

    Bangladesh Agricultural University, Mymensing

  4. Higher School Certificate (HSC), 2000

    Thakurgaon Government College, Thakurgaon

  5. Secondary School Certificate (SSC), 1998

    Thakurgaon Government Girls' High School


PROFESSIONAL EXPERIENCES

  1. Associate Professor
    Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

    February 01, 2020 to Present

  2. Assistant Professor
    Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

    February 01, 2014 to February 01, 2020

  3. Lecturer
    Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

    February 01, 2012 to February 01, 2014


PUBLICATIONS

Journal Papers

  1. Islam, S. S., Arafat, A.C., Hasan, A.K., Khomphet, T. 2022. Estimating the optimum dose of nitrogen fertilizer with climatic conditions on improving Boro Rice (Oryza sativa) yield using DSSAT-Rice crop model. Journal of Research on crops. 23(2): 253-260. DOI: 10.31830/2348-7542.2022.035. (Q2 journal)


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  2.  Hasan, A.K., Islam, S. S., Yesmin, M.A., Salim, M., Monshi, F. I., Hannan, A., and Tabassum, R. 2022. Morpho-physiological and genetic characterization of transplanted Aman rice varieties under old Brahmaputra flood plain (AEZ-9) in Bangladesh. Tropical Agricultural Research & Extension. 25 (1): 2022. DOI: http://doi.org/10.4038/tare.v25i1.5573.


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  3. Khomphet, T., Intana, W., Promwee, A. and Islam, S.S. 2022. Genetic variability, correlation, and path analysis of Thai commercial Melon varieties. International Journal of Agronomy. 2022:1-6. https://doi.org/10.1155/2022/7877239.


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  4. Sarkar, M.J., Hasan, A.K., Islam, N., Yasmine, F., Islam, S.S. and Rashid, M.H. 2021. Evaluation of local, high yielding and hybrid transplanted aman rice varieties for phenology, grain morphology and yield. Fundamental and Applied Agriculture. 6(4): 415–426. DOI: 10.5455/faa.82922.


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  5. Islam, S.S., Hasan, A.K., Bhuiyan, M. M.R., Monshi, F.I., Begum, M., Tabassum, R. and Hoque, M. 2021. Maize-Chickpea Intercropping under Diverse Tillage Systems Enhance the Productivity and Economic Returns. World Journal of Agricultural Sciences. 17(6): 509-520. DOI: 10.5829/idosi.wjas.2021.509.520


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  6. Islam, S. S., Hasan, A.K., Khaldun, A. B. M., Nazir, N and Islam, S. 2021. Additive Main Effect and Multiplicative Interaction (AMMI) model analysis for yield performances and G×E Interaction in multi environmental trial of aromatic fine rice in Bangladesh. Journal of Cereal Research. 13(2):171-179. (IF=4.57)


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  7.  Islam, S.S., Kumar, S., Ali, B., Khaldun, A. B. M., Uddin, M.S., Latif Akanda, M. A. and Shohidullah, M.M. 2021. Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species. Asian Journal of Advances in Agricultural Research. 16(2): 20-31.

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    1. Islam, S. S., Anothai, J., Nualsri, C., Soonsuwon, W. and Hasan, A. K. 2021. Determination of Upland Rice Cultivar Coefficient Specific Parameters for DSSAT (Version 4.7)-CERES-Rice Crop Simulation Model and Evaluation of the Crop Model under Different Temperature Treatments conditions. American Journal of Plant Sciences. 12(2021): 782-795. https://doi.org/10.4236/ajps.2021.125054. (IF-1.43)


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  8. Islam, S. S., Sanitchon, J. and Hasan, A.K. 2021. Rice phenology and growth simulation using DSSAT- CERES-Rice crop model under the different temperatures changing with climatic condition. International Journal of Agricultural Sciences and Technology. 1(2):1-11. https://doi.org/10.51483/IJAGST.1.2.2021.1-11



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  9. Islam, S. S., Anothai, J., Nualsri, C., Soonsuwon, W. and Hasan. A.K. 2021. Simulating upland rice yield at diverse temperatures using DSSAT4.7-CERES-Rice crop model under changing climatic Conditions.  Journal of Cereal Research. 13(1): 62-69.  http://doi. org/10.25174/2582-2675/2021/109954. (IF=4.57)


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  10. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2021. Evaluating DSSAT-CERES-Rice model using upland rice genotypes with different temperature stages under rainfed condition in Thailand. Journal of Agronomy. 20(2): 262-277 (IF=1.88)


  11. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2021. Correlation and path coefficient analysis studies of yield contributing traits in popular upland rice of Satun provinces in Thailand. Journal of Research on crops. 22 (2): 239-245. doi.org/10.31830/2348-7542.2021.063. (IF=1.25)


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  12. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2020. Analysis of genotype-environment interaction and yield stability of Thai upland rice (Oryza sativa L.) genotypes using AMMI model. Australian journal of Crop Science.14(2):362-370. doi: 10.21475/ajcs.20.14.02.p1847. (IF=2.30)


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  13. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2021. A Review article on Genotype Environment Interaction and Yield Stability measures by Additive Main effect and Multiplicative Interaction (AMMI) statistical analysis. Journal of Agricultural Reviews. 27(2):1056-1064. 


  14. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2020. Correlation and path analysis of phenological traits of Thai upland rice genotypes in Southern Thailand. Songklanagarin Journal of Plant Science. 7(2):133-142. 


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  15. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2019. Genetic variability and cluster analysis for phenological traits of Thai indigenous upland rice (Oryza sativa L.). Indian Journal of Agricultural Research. 54(2):211-216. doi:10.18805/IJARe.A-46. (IF=1.24)


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  16. Islam, S. S., Karim, R.H.U., Chaniago, H. and Hossain, S. 2020. Yield performance of mungbean genotypes as influenced by herbicides with different weed management practices. Journal of Applied Agricultural Science and Technology. 4(2): 80-100. doi.org/10.32530/jaast.v4i2.178.

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  17. Islam, S. S., Hasan, A. K., Karim, R., Islam, A and Rahman, A. 2018. Influence of variety and sowing dates on the yield attributes of boro season rice in aerobic condition. Asian Journal of Science and Technology. 9(2):7570-7575. (Indexing: Open Access journal; Impact factor: 2.94)


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    1. Islam, S.S., Begum, M.A. , Alam, M.M., Rahman, M.A. and Rahman, M.S. 2017. Performance of aerobic method on five boro rice varieties. International Journal of Sustainability on crop production. 12(1):1-9


    1. Islam, S. S., Roshid, A.M.O., Sikdar, S.S., Hasan, A. K. and Hossain, S. 2021. Growth and yield performance of aromatic fine rice as influenced by varieties and fertilizer managements. Journal of Applied Agricultural Science and Technology. 5(1): 1-12.  https://doi.org/10.32530/jaast.v5i1.6

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    1. Islam, S. S. and Karim, R. 2020. Examining Filariasis (Elephantiasis), Geo-Environment and Socio-Economic Situation: Integrating Factor Analysis with Geographic Information Systems for Northern Region of Bangladesh. International Journal of Multidisciplinary Sciences and Advanced Technology.1(5):1-20.

    1. Islam, S. S. and Karim, R. 2020. A Geo-Statistical Analysis for Prediction Modelling of Filariasis (Elephantiasis) Transmission Risk in Bangladesh Using Geographic Information Systems (GIS). Central European Journal of Geography and Sustainable Development. 2 (2): 5-14. http://doi.org/10.47246/CEJGSD.2020.2.2.1

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  18. Karim, R., Huq, M.H. and Islam, S.S. 2018. Filariasis Morbidity, Environment and Socio-Economic Situation: A Hot Spot Analysis on Northern Region of Bangladesh. International Journal of Research in Geography. 4(3):36-43. http://dx.doi.org/10.20431/2454-8685.0403003.


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  19. Islam, S.S., Oasiqul Azad, S.M., Rahman, B., Alom, S., Ali, Y., Jannatul, N. and Rahman, A. 2017. An investigation on species composition, Consumer’s preferences, and marketing channel of Hilsa in two coastal districts of southern Bangladesh. Russian Journal of Agricultural Sciences. 6(66): 272-282. DOI https://doi.org/10.18551/rjoas.2017-06.32




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    1. Islam, S.S., Haider, M.K., Islam, S. and Sarker, N.I. 2015. Determination of crop coefficient for Trans planted Aman rice.  International Journal of Natural and Social Sciences. 2(2015): 34-40

    1. Islam, S.S., Aktar, M. M., Amin, M.H.A., Kayes, M.O. and Alam, M.R. 2014. Performance of spacing and level of nitrogen on the yield and yield contributing characters of aromatic rice cv. Kalizira. Bangladesh Research Publications, Bangladesh. 9(3): 168-174

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    1. Islam, S. S., Amin, M.H.A., Parvin, S., Amanullah, A.S. and Ahsanullah, A.S.M. 2010. Effect of seedling number, seedling age and different nitrogen fertilizers on the growth and yield of transplant Aman rice cv. BRRI dhan 41. Bangladesh Research Publications, Bangladesh. 3(4):1204-1213

    1. Islam, S. S., Amin, M.H.A., Parvin, S., Amanullah, A.S. and Ahsanullah, A.S.M. 2009. Effect of pre and post emergence herbicides on the yield of Transplant aman rice. Bangladesh Research Publications, Bangladesh. 3(6): 1242-1252.

Conference Papers

  1. Islam, S.S., Billah, A.T.M., Rahman, R.B., Ruman, M.F., Rana, M.R., Rahman, M., Sayeed, A., Aziz, M.A., Sarker, M.B.U. and Khomphet, T. 2022. Effect weed management with Trichoderma enriched biofertilizer application on growth and yield of mustard. Ist International Conference. Weed Science Society of Bangladesh, 21 May 2022. Page 24.


  2.  Islam, S. S. and Hasan, A. K. 2021. Analysis of BRRI Dhan34 (Aromatic) Rice Marketing Profitability with Supply Chain at Dinajpur District in Bangladesh. International conference on business and economic challenges. Oral presentation. Hajee Mohammad Danesh Science and Technology University Dinajpur, Bangladesh. December 8, 2021.


    • Islam, S.S., Hasan, A. K., Khaldun, A. B. M., Arafat, A. C. and Alam. M. M. 2021. Impacts of vermicompost manure as a Plant Growth Promoting Rhizobacteria (PGPR) for sustainable agriculture on boro rice Production in northern regions of Bangladesh. First Asian PGPR - Indonesia Chapter International e-Conference on Sustainable Agriculture & Eco-Tourism 28-30 August 2021. Udayana University, Bali, Indonesia. Page: 50 out of 300.

  3. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2019. Evaluation of DSSAT-CERES Rice model for simulating the impact of different temperatures on growth and yield of upland rice genotypes under changing climatic conditions. International Conference on Food and Agriculture Research (ICFAR)’ Marriot, Putrajaya, Organized by University of Putra Malaysia, Malaysia. Duration: November 22 – 24, 2019

  4. Islam, S. S., Hasan, A. K., Debnath, T and Islam, N.2019. Response of Wheat plant under system of Wheat intensification. The 7th International conference on Sustainable Agriculture, Food and Energy (SAFE 2019),18-21 October 2019. Phuket Rajabhat university, Thailand

  5. Islam, S. S., Hasan, A. K., Ymon, M. I., Begum, M. and Hoque, M. 2018. Genetic Gain in Yield and Associated Changes in Phenotype and Trait Plasticity of Bangladeshi Wheat Varieties Released till to-Date. Joint conference of the 8th international agriculture congress 2018 and 6th international symposium for food and agriculture 2018(8th IAC -6th ISFA 2018), Universiti Putra Malaysia, Malaysia. Duration: 13-15 November 2018

  6. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. 2017. Analysis of G×E interaction using Additive Main effects and Multiplicative Interaction (AMMI) model for upland rice genotypes in Southern Thailand. The 11th Plant Science Conference. Department of Plant Science, Faculty of Natural Resources, Prince of Songkla University Pattani campus, Thailand. Duration: 18--20 September 2018

  7. Sikdar, S. I., Rahman, M., Islam, S.S. and Aktar, M. 2013. Screening of C-Hordein level among the cultivated varieties of Bangladesh. 36th Annual Conference. Bangladesh Chemical Society. Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. 1st March 2013.

Others

  1. Islam, S. S., Anothai, J., Nualsri, C. and Soonsuwon, W. Analysis of G×E interaction using Additive Main effects and Multiplicative Interaction (AMMI) for upland rice genotypes in Southern Thailand. The 5th Plant Science Symposium Conference. Department of Plant Science, Faculty of Natural Resources, Prince of Songkla University Hat Yai campus, Thailand. 14-15 August 2018 (oral presentation).



SCHOLARSHIPS

  1. Thailand’s Education Hub for ASEAN Countries (TEH-AC)

    Funded by: Prince of Songkla University, Hat Yai campus, Thailand


PROJECTS

  1. Evaluation of INFOCROP growth model for simulating the performance of Trichoderma-enriched bio-organic fertilizer in N supplementation on the growth and yield of mustard (Brassica rapa L.) varieties under different growing condition

    Funded by: Institute of Research and Training (IRT) funded by University Grand Commission (UGC)

    Position: Associate Professor

    Description: The INFOCROP growth models are useful tools for considering the complex interactions between a range of factors that affect crop performance, including weather (maximum and minimum temperature, rainfall, sunshine, and precipitation) soil properties and crop management (Boomiraj et al., 2013). Studies on the impact of climate change on crops need simulation models as they provide to quantify the effects of climate, soil, and management on crop growth, productivity, and sustainability of agricultural crop production. INFOCROP growth model is one of the user-friendly dynamic crop growth models developed under Bangladesh condition to address the issues like global climate change impacts, emission of greenhouse gasses and soil carbon and nitrogen dynamics (Aggarwal et al., 2006). The modeling tools may reduce the expensive and time - consuming field experimentations as they can be used to extrapolate the results of research conducted in one season or location to another season, location, or management (Boomiraj et al., 2017).


SOCIAL NETWORK