3. Study-1:
Varietal performances of white maize
as influenced by different weed
management practices.
Key Methodology: In the experiment
we used 2 varieties – Pasc-121 and
Yangnuo-3000 and 5 different weed
management practices.
Key Finding: The combination of the
variety PSC-121 and Pendimethalin @ 3.0
l/ha showed the highest yield (9.63
t/ha)
Mannan, et al., J. Expt. Biosci. 2019, 10(1), 67-78.
100-seed weight (g) Grain Yield (t ha-1)
T1V1 31.67 7.27
T2V1 33.00 8.00
T3V1 31.00 8.58
T4V1 40.33 9.63
T5V1 32.67 6.96
T0V2 26.67 5.32
T1V2 30.33 5.78
T2V2 31.33 7.06
T3V2 31.33 6.39
T4V2 36.00 8.59
T5V2 29.67 6.06
LSD(0.05) 5.71 1.99
CV (%) 10.50 16.5
V1 = PSC-121, V2 = Yangnuo-3000; T0 = No weeding, T1= Carfentrazone + Isoproturon 500 g @ 1.5 g
ha- 1 (Affinity 50.75% WP), T2= Carfentrazone + Isoproturon 500g @ 2.0 g ha-1 (Affinity 50.75%
WP), T3= Pendimethalin @ 2.0 l ha-1 (Panida 50EC), T4= Pendimethalin @ 3.0 l ha-1 (Panida 50EC),
T5= One hand weeding at 45 DAS.
Previous Works
Interaction of variety and hand weeding practices
4. Study-2:
Influence of weeding on the performance of
white maize varieties.
Key Methodology: Two varieties – PSC-121 and
Yangnuo-3000 and four (hand) weeding
treatments were used in the study.
Key Finding: The maximum yield of about 9.33
t/ha was recorded from the combination of
PSC-121 and weed free treatments.
American Journal of Plant Sciences, 2021, 12, 1011-1022
Treatment Combinations 100 grains weight
(g)
Grain yield (t/ha)
V1T0 28.66 e 5.49 d
V1T1 32.33 cd 6.38 d
V1T2 32.00 cd 8.44 abc
V1T3 36.00 ab 9.17 ab
V2T0 30.66 de 8.03 bc
V2T1 33.66 bc 8.05 bc
V2T2 38.00 a 7.71 c
V2T3 38.00 a 9.33 a
LSD(0.05) 2.79 1.16
CV(%) 4.74 8.46
Previous Works
Interaction of variety and hand weeding practices
V1= YANGNUO-3000, V2= PSC-121; T0 =No weeding, T1 = One hand weeding at 60
DAS, T2 = Two hand weeding at 40 DAS and 60 DAS, T3 = Weed free after 40 DAS
5. Study-3
Performance of white maize under different
spacing and integrated fertilizer management.
Key Methodology: This study included two spacing
treatments (60 cm X 20 cm, and 40 cm X 20 cm)
and four integrated fertilizer treatments.
Key Finding: When 40 cm X 20 cm plant spacing
was combined with Cow dung + Half of the
recommended fertilizers (NPK), the highest grain
yield (10.02 t/ha) was obtained.
Asian Plant Research Journal., 2020, 6 (2): 23-32.
Previous Works
Interaction (spacing x
fertilizer management)
100 seed
weight (g)
Grain yield
(t ha-1)
S1T1 30.33 cd 6.81 e
S1T2 29.00 e 5.27 g
S1T3 33.33 a 9.267 bc
S1T4 31.67 b 7.85 d
S2T1 29.67 de 9.13 c
S2T2 27.67 f 5.69 f
S2T3 33 a 10.02 a
S2T4 30.83 bc 9.67 b
LSD(0.05) ns 0.34
CV(%) 1.38 11.52
similar and those having dissimilar letter(s) differ significantly as per 0.05 level of
significance; ns= Non Significance; S1= 60 cm X 20 cm and S2 = 40 cm X 20 cm; T1: All
chemical fertilizer (recommended dose), T2: Maize straw compost +½ of recommended dose,
T3: cowdung+½ of recommended dose, T4: Vermicompost +½ of recommended dose
Interaction of spacing and fertilizer management on yield parameters of
white maize
6. Study-4:
Performance of two exotic white maize
hybrids as influenced by varying soil moisture
regimes during seedling transplantation.
Key Methodology: Two varieties – PSC-121 and
Yangnuo-3000; Three soil moisture regime.
Key Finding: The variety PSC-121 performed
best when combined with field capacity
moisture regime.
J. Expt. Biosci., 2018, 9(2):59-70.
Previous Works
Treatment
Combinations
100-grain Weight
(g)
Grain Yield (t/ha)
V1FC 32.67 10.04
V2FC 29.67 7.70
V1WT 27.33 8.49
V1FL 28.67 6.65
V2WT 20.67 6.56
V2FL 30.67 8.37
LSD(0.5) 3.69 1.23
CV (%) 6.78 8.57
Interaction of variety and soil moistening
V1 = PSC-121, V2 = Yangnuo-3000, ), FC = field capacity, WT = wetting up to
saturation, FL = flooding
7. Publications/Award
1. Mannan, M.A., Ullah, M.J., Biswas, M.M.I., Akter, M.S. and Ahmmed, T. (2019). Varietal performances of white maize as influenced
by different weed management practices. J. Expt. Biosci. 10(1):67-78.
2. Akter, S., Mannan, M.A., Ahmmed, T., Khan, S., Tasnim, M. and Ullah, J. (2021). Influence of weeding on the
performance of white maize varieties. American J. Plant Sci. 12:1011-1022.
3. Ahmmed, T., Ullah, M.J., Mannan, M.A. and Akter, M.S. (2020). Performance of white maize under differentspacing and integrated
fertilizer management. APRJ. 6 (2): 23-32.
4. Ullah, M.J., Islam, M.M., Fatima, K., Mahmud, M.S. and Mannan, M.A. (2018). Performance of two exotic white maize hybrids as
influenced by varying soil moisture regimes during seedling transplantation. J. Expt. Biosci. 9(2):59-70.
Awards
1. Dean’s award- 2019 for outstanding academic achievement
Sher-e-Bangla Agricultural University, Dhaka-1207, Bangladesh [ 27/10/2019 ]
2. National Science and Technology (NST) Fellowship 2016-2017
Ministry of Science and Technology, Bangladesh [ 2017 ]
3. Talent Assistance Scheme (TAS) fellowship (2009-2016)
Human Development Foundation (HDF), Dhaka, Bangladesh [ 2009]
8. My previous works were focused on farming system factors like crop (maize), fertilizers, weeds,
herbicides, and soil moisture. Therefore, my further research focus is the improvement of
farming system by utilizing the advanced technological knowledge. In a word, it can be called as
‘Precision Agriculture’.
Relating the Previous Works to the Proposed Work
9. GPS-profiling of Farming System Factors (FSFs) in Bangladesh
Based on Graph Database
Proposed PhD Research Title
10. Terms to be Noted: GPS-profiling, Farming System Factors, Graph Database
Importance of the Study
Objectives of the study:
1. Constructing a graph database of farming system factors
2. Data mining from the graph database
3. GPS-profiling of available data for supporting further research
Contents of the Study
11. Shi, et al., Information, 2021, 12, 227
Methodology
Modified Framework for
constructing graph database
and GPS-profiling.
12. Data Collection: Data will be collected manually and/or by using a Web Crawler like Octoparse.
Data Acquisition
Data Cleaning: Manually and by using a data cleaning software like Trifacta
The Entity Relationship (ER) Model: ER = <C, A, R, I>, where C= Category, A= Attribute, R= Relation, and I= Instance. Potential categories,
attributes, instances and relations in this proposed study might be –
Categories(Cs):
1. Crops 2. Fertilizers 3. Diseases and 4. Herbicides
Instances:
1. 5 agronomic and 5 horticultural crops,
2. Types of the fertilizers
3. Name of the diseases
4. Types of the herbicide
Methodology
13. Attributes:
1. ACrop {Place of production, consumption per year, Production per year, number of available varities,
nutrition content, and weeds}
2. AFertilizer {functions}
3. Adisease {symptoms}
4. Aherbicide {functions}
Relations:
1. r1{Applied_to, Infect, Sprayed_to}
2. r2{Instance}
3. r3{Attribute}
Category (C), Attribute(A), Relationship(R), and Instance (I) Models: C = <C1, C2, C3, C4>, A= <A1, A2,
A3, A4>, I= <I1, I2, I3, I4>, and R= <r1, r2, r3, r4>
ER Triplet: M = <e1, r, e2>, where e1= Entity-1, e2= Entity-2, and r= Relationship
Methodology
14. Graph Database Queries Visualization of Graph Database
Constructing Graph Database and Visualization: The identified triplets will be queried using the Cypher query
language in the graph database platform Neo4j either manually or by importing CSV file created from the processed
data.
Manual Query Example and the Output Visualization:
Methodology
15. Data Mining: The following properties of graph theory will be employed for data mining –
1. The Degree of Vertex
2. The Maximum Degree of Vertex
3. The Minimum Degree of Vertex
4. The Average Degree of Vertex
5. Adjacent Nodes
Statistical Formulae to be Used:
1. Tukey Test
2. Normal Distribution
3. Similarity Index
Methodology
16. GPS-profiling: This technology will use the following Framework, applications, and coding languages –
Framework: Wordpress
Applications: Google My Maps, RingCaptcha, Orion
Languages: HTML, CSS, JavaScript, PHP and SQL
Methodology
17. The Results Expected from the study:
Graph database of farming system factors will be constructed.
Finding out the mostly focused FSF
Fertilizer status for different crops
Current trend of diseases
Current trend of herbicide use
Finding interrelated information
Locating the hotspot for the FSFs in Google My Map for making the findings available for further
researches.
Expected Results
18. Novelty of the Proposal
First ever graph database on FAFs in Bangladesh
GPS-profiling of FSFs
