<?xml version="1.0" encoding="UTF-8"?>
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<title>Biennial Research Report</title>
<link href="http://archive.saulibrary.edu.bd/handle/123456789/3895" rel="alternate"/>
<subtitle/>
<id>http://archive.saulibrary.edu.bd/handle/123456789/3895</id>
<updated>2026-09-20T13:52:44Z</updated>
<dc:date>2026-09-20T13:52:44Z</dc:date>
<entry>
<title>TRADITIONAL IMPROVEMENT, GENETIC ENGINEERING AND  ORGANIC FARMING</title>
<link href="http://archive.saulibrary.edu.bd/handle/123456789/5623" rel="alternate"/>
<author>
<name>Ali, Mohammad</name>
</author>
<author>
<name>Rahman, Azizur</name>
</author>
<id>http://archive.saulibrary.edu.bd/handle/123456789/5623</id>
<updated>2026-09-20T10:24:54Z</updated>
<published>2026-06-01T00:00:00Z</published>
<summary type="text">TRADITIONAL IMPROVEMENT, GENETIC ENGINEERING AND  ORGANIC FARMING
Ali, Mohammad; Rahman, Azizur
Genetic Engineering (GE) is a technique of combining plant, animal, bacteria, virus and/or&#13;
even human genes that do not occur through cross breeding. It's a technique genetics and&#13;
biotechnology used to cut up and join together genetic materials to introduce the hybrid&#13;
DNA into another organism to change character(s). After the discovery of double helical&#13;
structure and composition of DNA, it was realized that segments of DNA determine&#13;
characters and pass through one generation of the next. Biochemists and biotechnologists&#13;
have techniques of genetic modification through GE; products are called transgenic&#13;
organisms or GMO. In 1996 first GE tomatoes in Canada. Last 25 yrs Canada has been&#13;
growing GE products namely canola, corn, potatoes, soybean, sugar beets. In addition,&#13;
Alpha alpha, Apples, Cottons, Sugarcane, Eggplant, Papaya, Squash are grown around the&#13;
world. To determine organic products - price look up (PLU) code and seal on the product, a&#13;
five digit number starts with 9 is organic, a four digit code starts with 4 means&#13;
conventionally grown, a five digit code starts with 8 is GMO. Limitations of organic farming&#13;
are labour intensive, low yield, very expensive products, expensive marketing because of&#13;
small amount product.  Many grocery stores sell ordinary products as organic. In Bangladesh&#13;
0.177 million ha under organic production. Advantages of organic products are better in&#13;
quality, environment friendly, keeps the soil healthy in good condition. Thousands of&#13;
varieties developed using conventional breeding techniques. All these varieties are very high&#13;
demanding of fertilizer, irrigation, pesticides and management. Many barriers in transferring&#13;
interspecific or intergeneric gene. These genes produce protein, protein to enzymes and&#13;
enzymatic reaction express different characters. Today's Breeders are pretty well equipped to&#13;
increase profitability of farm products using biotechnological techniques, safety issues of GE&#13;
foods. More than 80 GM foods approved for sale. 75% of processed foods with GE products,&#13;
from chips to soda, 70% of GE products are animal feed, no illness reported because of GE&#13;
food, 900 research findings around the world explored and no evidence of risk to human&#13;
health or environment. 22% yield increase w/68% increased farmers portis, organic manure,&#13;
green manure, bone meal, crop rotation, companion planting, biological control, insect&#13;
redators, Naturally occuring pyrethrin and rotenone. Conclusions may be drown as&#13;
considering world acreage, yield, labour cost, affordability of general people and 9 billion&#13;
population in 2050 when 70% more food will be required.
</summary>
<dc:date>2026-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>GENES, PROTEINS, AND MOLECULAR MARKERS FOR IMPROVING  ROOT TRAITS IN WHEAT (Triticum aestivum L.)</title>
<link href="http://archive.saulibrary.edu.bd/handle/123456789/5622" rel="alternate"/>
<author>
<name>Halder, Tanushree</name>
</author>
<id>http://archive.saulibrary.edu.bd/handle/123456789/5622</id>
<updated>2026-09-20T10:24:45Z</updated>
<published>2026-06-01T00:00:00Z</published>
<summary type="text">GENES, PROTEINS, AND MOLECULAR MARKERS FOR IMPROVING  ROOT TRAITS IN WHEAT (Triticum aestivum L.)
Halder, Tanushree
Wheat (Triticum aestivum L.) production in the world is challenged by different biotic and&#13;
abiotic stresses, which are increasing with climate change. Unravelling the molecular&#13;
genetics quantitative trait loci (QTL), candidate genes and proteins of root traits is essential&#13;
wheat root trait improvement through breeding. One hundred and three recombinant inbred&#13;
lines (RILs) RILs of Synthetic W7984 × Opata M85 and 14 pairs of near-isogenic lines&#13;
(NILs: pairs of genetically identical lines except for genomic regions (GRs)) of wheat were&#13;
used to phenotype root traits in a semi-hydroponic system. The composite interval mapping&#13;
method was used to discover QTL for root traits from RILs. Candidate genes and proteins&#13;
for root traits were identified from NILs through genotype-phenotype association analysis,&#13;
and label-free proteomics, respectively. The RILs exhibited significant variation in root&#13;
traits; 14 QTL for eight root traits were identified mainly on chromosome groups 5, 6 and 7.&#13;
Important QTL for shallow root (Q.rd.uwa.7BL: Xbarc50) and high RM (Q.rm.uwa.6AS:&#13;
Xgwm334) were validated in two independent F2 populations of Synthetic W7984 × Chara&#13;
and Opata M85 × Cascade, respectively. Separately, 10 of 14 NIL pairs showed significant&#13;
variation between their isolines for root traits; 15 putative candidate genes for root traits,&#13;
including outstanding genes TraesCS4A02G185300 and TraesCS4A02G442700 encoding&#13;
UDP-glycosyltransferase and TraesCS4A02G330900 encoding leucine-rich repeat receptorlike&#13;
&#13;
protein kinase were identified on targeting GRs on chromosomes 4BS, 4BL, 4AS, and&#13;
7AL of NILs. Furthermore, three candidate protein biomarkers for total root length and root&#13;
dry mass in NIL pairs targeting GRs on chromosomes 4A and 7A—asparagine synthetase&#13;
(TraesCS4A02G109900), signal recognition particle 19 kDa protein&#13;
(TraesCS7A02G333600) and 3,4-dihydroxy-2-butanone 4-phosphate synthase&#13;
(TraesCS7A02G415600)—with consistent gene expressions at protein and mRNA&#13;
transcription (qRT-PCR) levels were identified. Our research provides an improved&#13;
understanding of molecular control of root traits and potential for marker-assisted root&#13;
breeding in wheat.
</summary>
<dc:date>2026-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>GENES, PROTEINS, AND MOLECULAR MARKERS FOR IMPROVING  ROOT TRAITS IN WHEAT (Triticum aestivum L.)</title>
<link href="http://archive.saulibrary.edu.bd/handle/123456789/5621" rel="alternate"/>
<author>
<name>Halder, Tanushree</name>
</author>
<id>http://archive.saulibrary.edu.bd/handle/123456789/5621</id>
<updated>2026-09-20T10:24:39Z</updated>
<published>2026-06-01T00:00:00Z</published>
<summary type="text">GENES, PROTEINS, AND MOLECULAR MARKERS FOR IMPROVING  ROOT TRAITS IN WHEAT (Triticum aestivum L.)
Halder, Tanushree
Wheat (Triticum aestivum L.) production in the world is challenged by different biotic and&#13;
abiotic stresses, which are increasing with climate change. Unravelling the molecular&#13;
genetics quantitative trait loci (QTL), candidate genes and proteins of root traits is essential&#13;
wheat root trait improvement through breeding. One hundred and three recombinant inbred&#13;
lines (RILs) RILs of Synthetic W7984 × Opata M85 and 14 pairs of near-isogenic lines&#13;
(NILs: pairs of genetically identical lines except for genomic regions (GRs)) of wheat were&#13;
used to phenotype root traits in a semi-hydroponic system. The composite interval mapping&#13;
method was used to discover QTL for root traits from RILs. Candidate genes and proteins&#13;
for root traits were identified from NILs through genotype-phenotype association analysis,&#13;
and label-free proteomics, respectively. The RILs exhibited significant variation in root&#13;
traits; 14 QTL for eight root traits were identified mainly on chromosome groups 5, 6 and 7.&#13;
Important QTL for shallow root (Q.rd.uwa.7BL: Xbarc50) and high RM (Q.rm.uwa.6AS:&#13;
Xgwm334) were validated in two independent F2 populations of Synthetic W7984 × Chara&#13;
and Opata M85 × Cascade, respectively. Separately, 10 of 14 NIL pairs showed significant&#13;
variation between their isolines for root traits; 15 putative candidate genes for root traits,&#13;
including outstanding genes TraesCS4A02G185300 and TraesCS4A02G442700 encoding&#13;
UDP-glycosyltransferase and TraesCS4A02G330900 encoding leucine-rich repeat receptorlike&#13;
&#13;
protein kinase were identified on targeting GRs on chromosomes 4BS, 4BL, 4AS, and&#13;
7AL of NILs. Furthermore, three candidate protein biomarkers for total root length and root&#13;
dry mass in NIL pairs targeting GRs on chromosomes 4A and 7A—asparagine synthetase&#13;
(TraesCS4A02G109900), signal recognition particle 19 kDa protein&#13;
(TraesCS7A02G333600) and 3,4-dihydroxy-2-butanone 4-phosphate synthase&#13;
(TraesCS7A02G415600)—with consistent gene expressions at protein and mRNA&#13;
transcription (qRT-PCR) levels were identified. Our research provides an improved&#13;
understanding of molecular control of root traits and potential for marker-assisted root&#13;
breeding in wheat.
</summary>
<dc:date>2026-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>IMPROVING MANAGEMENT AND UNDERSTANDING OF MAJOR  DISEASES OF SUGAR BEET</title>
<link href="http://archive.saulibrary.edu.bd/handle/123456789/5620" rel="alternate"/>
<author>
<name>Bhuiyan, Md Ziaur Rahman</name>
</author>
<id>http://archive.saulibrary.edu.bd/handle/123456789/5620</id>
<updated>2026-09-20T10:24:51Z</updated>
<published>2026-06-01T00:00:00Z</published>
<summary type="text">IMPROVING MANAGEMENT AND UNDERSTANDING OF MAJOR  DISEASES OF SUGAR BEET
Bhuiyan, Md Ziaur Rahman
Sugar beet is a sugar-yielding crop that contributes 25% of the global sucrose production. &#13;
Economic production of sugar beet is hampered by Cercospora leaf spot (CLS) (Cercospora&#13;
beticola), Rhizoctonia crown and root rot (RCRR) (Rhizoctonia solani), Sclerotinia root rot&#13;
(SRR) (Sclerotinia sclerotiorum), and Rhizopus root rot (Rhizopus arrhizus) diseases. These&#13;
diseases can reduce yield by 15 to 40%. On CLS, buildup of fungicide-resistance strains is a&#13;
major issue due to poor implementation of fungicides and understanding of disease&#13;
development at early stages. The identification of germplasm resistant to RCRR disease is&#13;
hindered by the lack of effective inoculation methods. Identification of SRR and RRR&#13;
pathogens is crucial for their proper management. The objectives of this research were 1. To&#13;
evaluate the role of adjuvants in improving the efficacy of fungicides on CLS, 2. To&#13;
characterize the infection process during early stages of infection by C. beticola, 3. to&#13;
identify an effective inoculation method for RCRR, and 4. to identify and characterize the&#13;
causal organisms of SSR and RRR. The value of adjuvants was evaluated in greenhouse and&#13;
field conditions. Application of fungicides with or without adjuvants before disease onset&#13;
reduced disease severity of CLS in greenhouse condition. In field conditions, additions of&#13;
adjuvants did not improve the effectiveness of fungicides and few of them negatively&#13;
impacted root yield. The initial stage of infection on CLS susceptible and resistant sugar beet&#13;
variety were compared using confocal microscopy. C. beticola biomass accumulation,&#13;
percent leaf cell death and disease severity were all significantly greater in the susceptible&#13;
variety compared to the resistant variety (P&lt;0.05). R. solani inoculated on the crown and&#13;
roots were compared in a replicated trial in greenhouse conditions. The root inoculation&#13;
method provided a more consistent disease rating of the sugar beet variety in the greenhouse&#13;
for screening of RCRR cultivars in a resistance breeding program. Based on morphological&#13;
and molecular techniques, causal organisms of SRR and RRR were characterized and were&#13;
found to be pathogenic to sugar beet varieties tested in-vitro and in the greenhouse&#13;
conditions.
</summary>
<dc:date>2026-06-01T00:00:00Z</dc:date>
</entry>
</feed>
