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<title>Dept. of Agronomy</title>
<link>http://103.7.193.12:8080/xmlui/handle/123456789/10</link>
<description>DEPARTMENT OF AGRONOMY (AGN)</description>
<pubDate>Tue, 09 Jun 2026 23:40:28 GMT</pubDate>
<dc:date>2026-06-09T23:40:28Z</dc:date>
<item>
<title>SCREENING OF AROMATIC RICE CULTIVARS BASED ON PHYSIO-CHEMICAL  PROPERTIES IN RELATION TO DROUGHT STRESS</title>
<link>http://103.7.193.12:8080/xmlui/handle/123456789/2149</link>
<description>SCREENING OF AROMATIC RICE CULTIVARS BASED ON PHYSIO-CHEMICAL  PROPERTIES IN RELATION TO DROUGHT STRESS
SARKAR, MD. NUR-A-ALAM
The investigations comprised four experiments which were carried out during 2017 to &#13;
2020 to screen the morpho-physiological behavior and assessment of drought &#13;
tolerance in Bangladeshi local aromatic rice cultivars at Agronomy Research Field-1, &#13;
Hajee Mohammad Danesh Science and Technology University, Dinajpur, &#13;
Bangladesh. There were 65 local aromatic rice cultivars were tested in the 1st &#13;
experiment for screening out the best performance on the basis of yield performance. &#13;
Among them 11 aromatic rice cultivars were selected for experiment number 2. The &#13;
2nd experiment comprised of two factors Factor A: 11 rice cultivars and Factor B: 2 &#13;
drought stress level viz., T0= no drought stress (Control) and T1= 40-45% field &#13;
capacity. Drought stress significantly reduced the growth yield and yield contributing &#13;
features of tested aromatic cultivars. But the extent of reduction is varied with &#13;
genotypic difference. The results depicted that, at 40-45% field capacity Chinigura &#13;
(Red) produced maximum grain yield (56.47 g hill-1) followed by Kalijira (54.63 g &#13;
hill-1) and Kataribhog (53.89 g hill-1).  Kataribhog philipine attained maximum &#13;
relative water content but Chinigura (Red), Kataribhog and Kalijira also significantly &#13;
performed better. Kalijira represent the most aroma content (8.56). The single factor &#13;
3rd experiment consisted with seven aromatic rice cultivars viz., V1= Chinigura (Red), &#13;
V2= Kataribhog, V3= Kalijira, V4= Kataribhog (Jata), V5= Radhunipagal, V6= Bolder &#13;
and V7= Kataribhog philipine. The findings revealed that Chinigura (Red), Kataribhog &#13;
and Kalijira performed better where Radhunipagal and Kataribhog (Jata) showed the &#13;
intermediate results and finally Kataribhog philipine and Bolder performed poor in &#13;
the context of phenological and yield traits analysis with some exceptions. Chinigura &#13;
(Red) produced the more grain hill-1 (65.66 g) and Kataribhog philipine produced the &#13;
less (39.55 g). The 4th experiment comprised of two factors; Factor A: 7 rice cultivars &#13;
viz., V1= Chinigura (Red), V2= Kataribhog, V3= Kalijira, V4= Kataribhog (Jata), V5= &#13;
Radhunipagal, V6= Bolder and V7= Kataribhog philipine and Factor B: 2 irrigation &#13;
interval viz., T0= Continuous flooding (Control) and T1= irrigation at 5 days interval, &#13;
T2= irrigation at 10 days interval, T3= irrigation at 15 days interval, T4= irrigation at &#13;
20 days interval and T5= irrigation at 25 days interval. Irrigation interval had &#13;
significant effect on the plant characteristics of aromatic rice. Continuous flooding &#13;
and irrigation at 5 days interval performed best for most of the observed characters &#13;
and irrigation at 25 days interval plant did not survive of all tested cultivars. &#13;
Interaction of Chinigura (Red) and irrigation at 5 days interval produced the &#13;
maximum grain yield hill-1 (65.15 g) followed by interaction of Chinigura (Red) and &#13;
continuous flooding (64.53 g). The interactions of Kataribhog and Kalijira with &#13;
irrigation at 5 days interval, respectively also statistically significant for grain yield. &#13;
Considering the abiotic stress (especially drought) condition and limited resources of &#13;
irrigation water, Chinigura (Red) along with 5 days intermittent irrigation could be &#13;
best water saving production package under moisture stress prone area of Bangladesh.
SCREENING OF AROMATIC RICE CULTIVARS BASED ON PHYSIO-CHEMICAL &#13;
PROPERTIES IN RELATION TO DROUGHT STRESS; &#13;
A Dissertation   &#13;
DOCTOR OF PHILOSOPHY &#13;
By &#13;
MD. NUR-A-ALAM SARKAR, &#13;
Reg. No. 1705198, &#13;
DEPARTMENT OF AGRONOMY,   &#13;
HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY &#13;
DINAJPUR-5200;  &#13;
JUNE 2022.
</description>
<pubDate>Wed, 01 Jun 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://103.7.193.12:8080/xmlui/handle/123456789/2149</guid>
<dc:date>2022-06-01T00:00:00Z</dc:date>
</item>
<item>
<title>YIELD STABILITY ANALYSIS BY AMMI MODEL AND ESTIMATION GENOTYPE × ENVIRONMENT INTERACTION OF BORO RICE  (Oryza sativa) IN BANGLADESH</title>
<link>http://103.7.193.12:8080/xmlui/handle/123456789/2130</link>
<description>YIELD STABILITY ANALYSIS BY AMMI MODEL AND ESTIMATION GENOTYPE × ENVIRONMENT INTERACTION OF BORO RICE  (Oryza sativa) IN BANGLADESH
RANA, MD. MASUD
Considering the yield stability of potential rice genotypes is the essential stage for perfect evaluation. Therefore, this study determined the Genotype × Environment Interaction (GEI) and yield stability performance of 10 boro rice genotypes in four environments namely Agronomy Research Field of Hajee Mohammad Danesh Science and Technology University, Dinajpur; Bangladesh Rice Research Institute (BRRI) Rangpur; Agronomy Research Field, Bangladesh Agricultural University, Mymensingh and Agronomy Research Field of Sylhet Agricultural University through 2022 boro season. The experiment used Completely Randomized Design (CRD) with three replications. Combined analysis and Additive Main effects and Multiplicative Interaction (AMMI) model analyzed yield stability performance. ANOVA result showed that there were highly significant differences among the genotypes for maximum characters. The AMMI analysis showed the environment explained 10.23% whereas the GEI accounted for 9.17% and the genotypes captured 80.60 % which significantly affected the grain yield. The environment, genotype main effects, and the GEI were all highly significant. The study indicated that the tested genotypes, BRRI dhan 89 (6922 kg ha-1) with a high and BRRI dhan 68 gave the lowest yield (5618 kg ha-1), respectively. Also genotypes BRRI dhan 100, BRRI dhan 28, and BRRI dhan 67 gave the highest grain yield and Dinajpur environment with a high mean value of (7556 kg ha-1) had great stability across the four environments. Therefore, the AMMI model might be a valuable tool for identifying the most suited and stable high yielding boro rice genotypes for wide regions in Bangladesh as well as for varied environmental conditions.
YIELD STABILITY ANALYSIS BY AMMI MODEL AND ESTIMATION GENOTYPE × ENVIRONMENT INTERACTION OF BORO RICE &#13;
(Oryza sativa) IN BANGLADESH;&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
A THESIS&#13;
BY&#13;
MD. MASUD RANA,&#13;
Student ID: 1601404,&#13;
Session: 2022-2023,&#13;
Semester: January - June 2023;&#13;
&#13;
&#13;
	&#13;
&#13;
&#13;
MASTER OF SCIENCE (M.S.)&#13;
IN&#13;
AGRONOMY,&#13;
&#13;
&#13;
&#13;
DEPARTMENT OF AGRONOMY,&#13;
HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY DINAJPUR-5200;&#13;
DECEMBER 2023.
</description>
<pubDate>Fri, 01 Dec 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://103.7.193.12:8080/xmlui/handle/123456789/2130</guid>
<dc:date>2023-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>IMPACT OF ZINC OXIDE (ZnO) NANOPARTICLES ON THE  GROWTH, PHYSIOLOGY, YIELD AND BIOCHEMICAL TRAITS  OF WHEAT (Triticum aestivum L.) UNDER SALT STRESS</title>
<link>http://103.7.193.12:8080/xmlui/handle/123456789/2129</link>
<description>IMPACT OF ZINC OXIDE (ZnO) NANOPARTICLES ON THE  GROWTH, PHYSIOLOGY, YIELD AND BIOCHEMICAL TRAITS  OF WHEAT (Triticum aestivum L.) UNDER SALT STRESS
Hossain, Md. Motakabbir
Worldwide, the productivity of various cereal crops is adversely affected by potential threat, with &#13;
salinity stress being a significant factor. To alleviate the negative effects of salt stress on plants, a &#13;
promising strategy is the application of ZnO nanoparticles through spraying. Although their &#13;
effectiveness has been noted, the specific mechanism by which nano-ZnO particles operate to counter &#13;
salt stress is not yet fully understood. Concerning this issue, a pot experiment was carried out at the &#13;
Net house, Department of Agronomy, Hajee Mohammad Danesh Science and Technology University &#13;
(HSTU), Dinajpur, Bangladesh during November 2022 to March 2023. The experiment encompassed &#13;
three tiers of salt stress (0, 100, and 150 mM NaCl stress) and three levels of ZnO (0, 150, and 300 &#13;
µM), resulting in nine distinct treatments, namely: i) S0ZnO0 (0 mM NaCl + 0 µM ZnO), ii) S0ZnO1(0 &#13;
mM NaCl + 150 µM ZnO), iii) S0ZnO2 (0 mM NaCl +300 µM ZnO), iv) S1ZnO0 (100 mM NaCl + 0 &#13;
µM ZnO), v) S1ZnO1 (100 mM NaCl + 150 µM ZnO), vi) S1ZnO2 (100 mM NaCl + 300 µM ZnO), &#13;
vii) S2ZnO0 (150 mM NaCl + 0 µM ZnO), viii) S2ZnO1 (150 mM NaCl + 150 µM ZnO), ix) S2ZnO2 &#13;
(150 mM NaCl + 300 µM ZnO). The main findings showed that the studied parameters such plant &#13;
morphology (plant height, number of leaves, leaf area), growth (fresh &amp; dry weight of leaves, stems &#13;
and roots), phenology (days to booting, heading, anthesis and physiological maturity), physiology &#13;
(photosynthetic pigments; water status-RWC, WSD, WRC, WUC; MSI), yield contributing traits &#13;
(spike length, number of spikelets spike-1, grains spike-1, and hundred grains weight), yield indices &#13;
(grain, straw and biological yield, and harvest index) and biochemical traits were negatively and &#13;
progressively affected with increasing salt stress. Following the application of nano-ZnO particles, &#13;
enhancements were observed in the aforementioned plant traits. Notably, ZnO2 (300 µM ZnO) &#13;
demonstrated the most favorable results, although its performance was nearly statistically &#13;
indistinguishable from ZnO1 (150 µM ZnO). Furthermore, the results showed that although SS raised &#13;
the Na content while lowering the K, Ca, N, and protein content, ZnO administration increased the K, &#13;
Ca, N, and protein values while falling the Na values. The application of nano-Zn particles has &#13;
demonstrated the potential to enhance plant development by alleviating salt stress, with 150 µM ZnO &#13;
identified as an effective dosage.
IMPACT OF ZINC OXIDE (ZnO) NANOPARTICLES ON THE &#13;
GROWTH, PHYSIOLOGY, YIELD AND BIOCHEMICAL TRAITS &#13;
OF WHEAT (Triticum aestivum L.) UNDER SALT STRESS; &#13;
A THESIS &#13;
BY &#13;
Md. Motakabbir Hossain, &#13;
Student No. 2205063, &#13;
Session: 2022-2023, &#13;
Thesis Semester: July-December, 2023; &#13;
MASTER OF SCIENCE (M.S.) &#13;
IN &#13;
AGRONOMY, &#13;
DEPARTMENT OF AGRONOMY,  &#13;
HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY &#13;
UNIVERSITY, DINAJPUR-5200, BANGLADESH; &#13;
DECEMBER, 2023.
</description>
<pubDate>Fri, 01 Dec 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://103.7.193.12:8080/xmlui/handle/123456789/2129</guid>
<dc:date>2023-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>EFFECT OF ORGANIC AND INORGANIC SEED PRIMING OF CHICKPEA</title>
<link>http://103.7.193.12:8080/xmlui/handle/123456789/2106</link>
<description>EFFECT OF ORGANIC AND INORGANIC SEED PRIMING OF CHICKPEA
ALVI, ZANNAT
A field experiment was conducted at the research field of Department of Agronomy, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200 during the period from November, 2019 to April, 2020 to study the effect of organic and inorganic seed priming on the chickpea varieties. The experiment was laid out in randomized complete block design with three replications. The experiment consists of two factors; namely: Factor A: Three varieties of chickpea viz. V1= BARI Chola-5, V2= BARI Chola-9, and V3= BARI Chola-10 and Factor B: Three priming treatments viz. P1=No priming (Control), P2= Inorganic priming (CaCO3:5% calcium carbonate) and P3= Organic priming (Neem leaf extract). The experiment was laid out in two factorial Randomized Complete Bloke Design (RCBD) with three replications, thus there were 27 (9×3) unit plot in this experiment. The size of the plot was (1.0 × 1.0) m2. Observations were statistically significant results of most of parameters of chickpea as plant height (15, 30, 45, 60 (DAS) and at harvest), number of branches plant-1 (15, 30, 45, 60 DAS and at harvest), number of pods plant 1 (no.), pod length (cm), number of seeds pod-1 (no.), weight of 1000-seed weight (g), seed yield (t ha-1), straw yield (t ha-1), biological yield (t ha-1) and harvest index (%). However, considering the varietal characteristics, the maximum grain yield (1.41 t ha-1) was observed in BARI Chola-10 (V3) and that of minimum grain yield (1.27 t ha-1) was produced by BARI Chola-5 (V1) and also maximum straw yield (2.39 t ha-1) recorded in BARI Chola-10 (V3) while minimum was found straw yield (2.15 t ha-1) from BARI Chola-5 (V1). In case of different priming treatments, P2=Inorganic priming with 5% CaCO3 generated the maximum grain yield (1.41 t ha-1) whereas control produced the minimum grain yield (1.27 t ha-1) No priming (p1) and the organic priming treatments (p3) showed the highest (2.32 t ha-1) and the lowest straw yield (2.27 t ha-1) respectively. In combination V3P2 generated maximum grain yield (1.41 t ha-1) and straw yield (2.46 t ha-1) whereas the minimum grain yield (1.27 t ha-1) and straw yield (2.14 t ha-1) were recorded from V1P1 treatment combination. So, it may be suggested that BARI Chola-10 (V3) variety with inorganic priming with 5% CaCO3(P2) better for growth and yield of chickpea.
EFFECT OF ORGANIC AND INORGANIC SEED PRIMING OF CHICKPEA; &#13;
&#13;
A THESIS&#13;
BY&#13;
&#13;
ZANNAT ALVI, &#13;
Student No. 1905015,&#13;
Session: 2019-2020,&#13;
Semester: January-June, 2020;&#13;
&#13;
&#13;
MASTER OF SCIENCE&#13;
IN&#13;
AGRONOMY,&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
&#13;
DEPARTMENT OF AGRONOMY,&#13;
HAJEE MOHAMMAD DANESH SCIENCE ANDTECHNOLOGY UNIVERSITY, DINAJPUR;&#13;
JUNE, 2020.
</description>
<pubDate>Mon, 01 Jun 2020 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://103.7.193.12:8080/xmlui/handle/123456789/2106</guid>
<dc:date>2020-06-01T00:00:00Z</dc:date>
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