DEPARTMENT OF GENETICS & PLANT BREEDING (GPB) http://103.7.193.12:8080/xmlui/handle/123456789/15 2026-04-17T15:36:44Z 2026-04-17T15:36:44Z SALWA, ZEENA http://103.7.193.12:8080/xmlui/handle/123456789/2100 2026-04-16T07:34:07Z 2023-12-01T00:00:00Z

CHARACTERIZATION OF PIGMENTED RICE GERMPLASMS BASED ON MORPHO-NUTRITIONAL TRAITS, ANTIOXIDANT PROPERTIES AND MOLECULAR MARKERS SALWA, ZEENA The experiment conducted during the Kharif season from April 2022 to November 2022 aimed to analyze the morpho-physiological and nutritional traits, genetic parameters, DNA fingerprinting, and molecular genetic diversity of pigmented rice genotypes. The analysis included ten (10) yield and yield-contributing characters, five (5) nutritional characters, and 14 SSR markers. The experiment revealed significant differences among the genotypes for all traits, showing a good opportunity for selecting better parental types to improve grain yield. The mean performance of different yield and yield contributing characters showed wide variations, with traits like plant height (114.43±2.74) cm, productive tiller per plant (28.85±1.11), unproductive tiller per plant (2.82±0.25), and yield per plant (18.82±1.10) g exhibiting notable ranges. Genetic parameters such as genotypic variance, phenotypic variance, heritability, genetic advance, and genetic advance as a percent of the mean were estimated. The highest genotypic and phenotypic variances were recorded with straw weight (13985.59 and 14158.47), DPPH (4216.64 and 4470.27), days to 50% flowering (1367.09 and 1367.56), iron content (938.47 and 947.76), plant height (373.12 and 395.66), respectively. The low values of phenotypic and genotypic variances were recorded with the character unproductive tiller per plant (1.20 and 1.02), spike per panicle (3.11 and 2.82), thousand seed weight (18.21 and 17.73), respectively. the phenotypic coefficient of variances (PCV) ranged from 17.38% for the plant height to 70.99% for the total phenolic content. The genotypic coefficient of variances (GCV) ranged from 16.88% for the plant height to 70.31% for the total phenolic content. The highest PCV and GCV were observed for the total phenolic content (70.99 and 70.31). The heritability estimation varied from 82.28% to 99.99% for total flavonoid content (TFC) and days to 50% flowering respectively. Furthermore, cluster analysis grouped the genotypes into three clusters based on their traits. Principal component analysis (PCA) identified the minimum number of components explaining the maximum variability principal component 1 (PC1) has an eigenvalue of about 5.77 that captures about 38.5% variance, then the eigenvalue falls steadily in component 4 has an eigenvalue of about 0.99 that captures about 6.6% variance, and the biplot analysis revealed correlations between traits and genotypes. The trait productive tiller per plant, total tillers per plant and panicle length denotes positive PC1 score and negative PC2 score and were highly correlated with each other. Here, the genotypes G21 (BRRI dhan 82), G23 (BRRI dhan 48), G33 (Tepiboro 2), G12 (Nara Bet), G28 (BRRI dhan 29) favored these traits. Again, DPPH content, total flavonoid content and thousand seed weight showed positive loading in PC2 but negative score in PC1. The DNA fingerprinting based on SSR markers identified 57 alleles, and the population structure analysis classified the genotypes into four sub-populations, each with distinct characteristics. The analysis of molecular variance (AMOVA) indicated a higher level of genetic variation (90%) within populations than (10%) among them. The study provides comprehensive insights into the variability, heritability, and genetic diversity of pigmented rice genotypes, offering valuable information for future breeding programs and genetic improvement. Overall, the experiment yielded crucial findings on the diversity, genetic parameters, and population structure of pigmented rice genotypes, such as Orabet aus, Malikhori aus and Narabet aus offering significant implications for breeding and conservation strategies in rice cultivation. CHARACTERIZATION OF PIGMENTED RICE GERMPLASMS BASED ON MORPHO-NUTRITIONAL TRAITS, ANTIOXIDANT PROPERTIES AND MOLECULAR MARKERS; A THESIS BY ZEENA SALWA, STUDENT NO. 1601197, SEMESTER: Jul-Dec, 2023, SESSION: 2022-23; MASTER OF SCIENCE (MS) IN GENETICS AND PLANT BREEDING, DEPARTMENT OF GENETICS AND PLANT BREEDING, HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY DINAJPUR-5200; December 2023.

2023-12-01T00:00:00Z AZIZA, MST. SALEHA http://103.7.193.12:8080/xmlui/handle/123456789/1997 2025-11-27T07:51:14Z 2023-12-01T00:00:00Z

SELECTION OF HIGH YIELDING STABLE GENOTYPES OF CHERRY TOMATO (Solanum lycopersicum var. cerasiforme) THROUGH MULTILOCATION TRIALS AZIZA, MST. SALEHA An investigation was carried out with ten exotic and two released cherry tomato genotypes (Solanum lycopersicum var. cerasiforme) to identify high yielding stable genotypes through multilocation trials to release suitable variety for northern region of the country. The study was conducted at three locations these were the field of the Department of Genetics and Plant Breeding, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh: Taraganj, Rangpur and Debiganj, Panchagarh during the period from November 2022 to May 2023 in randomized complete block design (RCBD) with three replications. Twelve traits were studied: days to first flowering (FF), Days to first fruiting (FFR), chlorophyll content (CC), number of clusters per plant (CPP), number of fruits per plant (FC), fruit weight (FW), fruit diameter (FD), fruit length (FL), plant height (PH), number of fruits per plant (FPP), yield per plant (YPP) and yield per plot (YPPlot). The analysis of variance revealed significant differences among the genotypes for all the studied characters in three locations. The superior mean performances were revealed in three locations for the genotype L13 for the characters FC, FPP, YPP and YPPlot. The phenotypic coefficient of variation was higher than the genotypic coefficients of variation indicating environmental influence on the traits. High heritability (greater than 70%) coupled with high genetic advance as percent of mean (greater than 20%) was observed for all characteristics in three locations except for CC. The comparison of twelve cherry tomato genotypes across the environments revealed that CPP, FL, FPP, PH, YPP and YPPlot contained higher values in Panchagarh than Dinajpur and Rangpur. The result of partial correlation analysis in three locations among measured traits showed that YPP and YPPlot had a significantly positive correlations with CPP (0.66, 0.55, 0.59 and 0.71 for Dinapur, Rangpur, Panchagarh and combined, respectively), FPP (0.75, 0.56, 0.64 and 0.75 for Dinapur, Rangpur, Panchagarh and combined, respectively). A significant genotypic effect was observed for all traits in the single environment analysis. A genotype–environment interaction (GEI) was observed in the mixed-effect model, except for fruit length. Among phenological traits, it was found that CPP, FC, FW, FPP, YPP and YPPlot were strongly supporting selection gain in Dinajpur, Rangpur and Panchagarh, respectively. Based on multi-trait genotype-ideotype distance index (MGIDI), genotypes L13 and L14 in Dinajpur and Rangpur; L13 and L09 in Panchagarh were found to be the most promising genotypes. According to best linear unbiased prediction (BLUP) and GGE biplot analysis the high-yielding and stable cherry tomato genotype was L13 followed by L14 and L09, respectively. Based on GGE biplot analysis, the high-yielding and stable environment was Dinajpur. In biochemical analysis, genotype L04 had the highest sugar (0.20 mg/g) and phenol (25.82 mg/g) content; genotype L13 had highest lycopene content that was 72.36 µg/g whereas highest carotenoid, flavonoid and DPPH content found in L06 (33.49 µg/g), L09 (7.48 mg/g) and L14 (4.41 mg), respectively. In the molecular study, seven simple sequence repeat (SSRs) markers were used for observing variations among twelve cherry tomato genotypes. Where two populations were found i. e. Population I (BU-2, BU-5, L02 and L04) and Population II (L05, L06, L09, L13, L14, TM-23, CTOM-1220 and CTOM-1221). Phenotypically stable and promising genotypes L13, L14 and L09 were genotypically different from the released variety BU-2 and BU-5. Therefore, the stable nutrient rich and genotypically distinguished genotypes L13, L14 and L09 could be registered as a cherry tomato variety in Bangladesh. SELECTION OF HIGH YIELDING STABLE GENOTYPES OF CHERRY TOMATO (Solanum lycopersicum var. cerasiforme) THROUGH MULTILOCATION TRIALS; A THESIS BY MST. SALEHA AZIZA, STUDENT NO: 2205098, SEMESTER: July-December, 2023, SESSION: 2022-2023; MASTER OF SCIENCE (M.S) IN GENETICS AND PLANT BREEDING, DEPARTMENT OF GENETICS AND PLANT BREEDING, HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR-5200; DECEMBER 2023.

2023-12-01T00:00:00Z AKTER, IREEN http://103.7.193.12:8080/xmlui/handle/123456789/1993 2025-11-27T06:29:36Z 2023-12-01T00:00:00Z

SCREENING OF BLAST RESISTANCE GENE IN BORO RICE (Oryza sativa L.) GENOTYPES BASED ON SSR MARKERS AKTER, IREEN The major focus on the study was on the assessing blast resistance genes in boro rice germplasms using gene-specific SSR markers. The study involved 40 boro rice genotypes, including landraces, purple rice and BRRI release varieties. DNA extraction and PCR amplifications were performed using five blast gene-specific SSR primers viz. RM 541, RM 224, RM 527, RM 162 and RM 206 were used to identify the presence or absence of blast resistance genes Pi-9, Piz-5, Pi-2(t), Pi-1, and Pi-kh. The amplicons were differentiated using agarose gel electrophoresis and the genetic frequencies of the blast resistance genes were estimated. The genetic frequencies of five major blast resistance genes [Pi-9, Pi-1, Piz-5,Pi 2(t) and Pi-kh] were ranged from 35% to 85%. The blast resistance gene Pi-2(t) was widely (85%) and Pi5 was sparsely (35%) distributed among the studied genotypes. The study also included a genetic distance-based analysis, which revealed five major clusters of rice genotypes with varying resistance gene profiles. Furthermore, the study delivered into the correlations between disease scores and resistant genes, highlighting the negative correlation between disease scores and the total number of blast disease resistance genes. The Spearman rank correlations of selected boro rice genotypes demonstrated the relationship between the phenotypic expression and the total number of blast resistance genes. Additionally, the study involved principal component analysis (PCA) to visually represent the diversity of the genotypes. The PCA scatter plot successfully separated the rice genotypes into distinct groups based on their resistance profiles, providing a comprehensive visualization of the genetic diversity of the boro rice genotypes. In summary, the study successfully assessed blast resistance genes in boro rice germplasms using gene-specific SSR markers and provided valuable insights into the genetic frequencies, correlations with disease scores, and the genetic diversity of the rice genotypes. Boro, Ghuniboro1, Kaikkaboro, Borodeshi, Jamirboro and Soloiboro, findings contribute to the understanding of blast resistance in boro rice and have implications for breeding and crop improvement programs aimed at enhancing resistance to blast disease in rice cultivation. SCREENING OF BLAST RESISTANCE GENE IN BORO RICE (Oryza sativa L.) GENOTYPES BASED ON SSR MARKERS; A THESIS BY IREEN AKTER, STUDENT NO. 2205051, SEMESTER: July-December, 2023, SESSION: 2022-23; MASTER OF SCIENCE (MS) IN BIOTECHNOLOGY, DEPARTMENT OF GENETICS AND PLANT BREEDING, HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR; DECEMBER, 2023.

2023-12-01T00:00:00Z HASAN, MD. MUBASSIR http://103.7.193.12:8080/xmlui/handle/123456789/1992 2025-11-26T09:06:04Z 2023-12-01T00:00:00Z

Study on blast resistance in experimental aromatic hybrids rice (Oryza sativa L.) using morpho-molecular markers HASAN, MD. MUBASSIR Rice Blast caused by Magnaporthe oryzae is the major biotic stress causing substantial yield loss in every year worldwide. For this, 11 experimental hybrids together with their 7 parents were screened for blast resistance in the field of Bangladesh Jute Research Institute, Nashipur, Dinajpur. The experiment was conducted in a Randomized Complete Block Design with three replications during June to November 2022. The molecular detection of resistance was done in parallel of phenotyping at the laboratory of Department of Genetics and Plant Breeding, Hajee Mohammad Danesh Science and Technology University, Dinajpur. In field, the data were collected on 1000 grain weight (g), disease severity percentage (%), leaf spots per plant (mm) and yield per plant (g). The analysis of variance revealed significant differences among the genotypes for all the traits. The highest mean value for 1000 grain weight 29.45g was found in MR-506 genotype. The highest percent leaf blast severity (46.00) was found in BRRI dhan 34 genotype. The highest size of the spots 14.76 9 (mm) was revealed in BRRI dhan34 genotype. Simple correlation coefficient among four important characters viz. 1000 grain weight, % severity, leaf spot and yield per plant were analyzed for 18 rice genotypes. 1000 grain weight had significant positive correlation with yield per plant (0.16). The regression coefficient between yield per plant and the other traits viz. 1000 grain weight, disease severity percentage and leaf spot per plant were analyzed. From this, a linear relationship was found between yield per plant and 1000 grain weight. In this study, principle component analysis confirmed the existence of high diversity in rice genotypes. All the characters have their own contribution in a variance degree for the variance observed in every component and the character variation was explained in several PCs. The first two axes of a PCA biplot summarizing the relationships between the variables and the genotypes explained 58.2% of the total variance by PC1 and 41.8% of the variance by PC2. The genotypes KR-501, KB-502, RH-504, RB-505, RS-508 and MB-5011 found far away from the centroid of the cluster and favored the trait performances In the study, PCR-based simple sequence repeat (SSR) markers have been studied to screen and identify different blast resistance genes. Determination of PCR results for 5 blast resistance genes viz Pi-9, Pi-1, Pi-5(t), Pi-b, and Pi-33 were determined by visualization of RM 541, RM 21, RM 224, RM 208 and RM 72 chromosome amplicons on near 158 bp, 157 bp, 157 bp, 173 bp, and 166 bp of positive fragments, respectively. All the 18 aromatic rice genotypes were evaluated individually through molecular and morphologically in this study and identified 55 alleles. Three (3) experimental hybrids viz. KR-501, BM-503 and RB-505 had maximum five (5) blast resistance genes, while five (5) parental genotypes and experimental hybrids genotypes namely Multioverian, Munni, KB-502, MR-506 and SB-507 had four (4) blast resistance genes. In the study, a clear co-segregation was revealed by the resistant genes Pi-9, Pi-1, Pi-5(t), Pi-b, and Pi-33 in experimental hybrids as KR-501, MR 506, MS-501, RH-504 and RB-505 from their parents. Therefore, these experimental F1‘s should be utilized for development of blast resistant aromatic hybrids in Bangladesh. Study on blast resistance in experimental aromatic hybrids rice (Oryza sativa L.) using morpho-molecular markers; A THESIS BY MD. MUBASSIR HASAN, STUDENT NO. 2205014, SEMESTER: July-December, 2023, SESSION: 2022-23; MASTER OF SCIENCE (MS) IN BIOTECHNOLOGY, DEPARTMENT OF GENETICS AND PLANT BREEDING, HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR; DECEMBER, 2023.

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