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dc.contributor.advisorDr. Md. Hasanuzzaman
dc.contributor.authorTABASSUM, URMI
dc.date.accessioned2022-04-23T05:41:57Z
dc.date.available2022-04-23T05:41:57Z
dc.date.issued2010-08
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/594
dc.descriptionWheat (7riticum aestivum L.) is the second most important cereal crop in Bangladesh. Although the country is still a small producer of wheat, it made spectacular progress in increasing production during post independence to 1985 indicating that the climatic and soil condition of Bangladesh is suitable for wheat cultivation (Swaminathan, 1986). The wheat area and production in the country was further increased and reached to the highest peak of 0.85 million hectares in 1999. The production in that year was 1.9 million ton (Anonymous, 1999). After that, wheat area started decline due to strong competition with high yielding boro rice, potato, maize and vegetable crops. In 2009-10, 1.07 million tons of wheat was produced from an area of 0.37 million hectares, and the yield was the ever highest 2.9 t/ha (Anonymous, 2010). Current requirement of wheat in the country is 3.0-3.5 million tons; moreover, wheat consumption is increasing @ 3% year’ (Sufian, 2005). In this situation, it is very important to increase wheat production in the country to reduce huge import costs. In India, improvement in its productivity has played a key role in making the country self-sufficient in wheat production. However, in the past decade there has been marginal increase in the productivity of wheat, particularly under environments relatively favorable for growth and development of wheat (Nagarajan, 2005; Joshi ef a/., 2007).en_US
dc.description.abstractEight advance wheat genotypes including two check varieties BARI Gom 21 (Shatabdi) and BARI Gom 24 (Prodip) were tested in 10 environments under five locations of different WRC stations of BARI during 2009-10. There were significant variations against environments, genotypes and genotype x environment interactions for yield, heading days, grain filling duration and rate. The sum of squares for yield, heading days and grain filling duration were attributed by environments followed by genotype x environment interaction and then genotypes. The environments were diverse and there were substantial differences in genotypic response for all the characters. Interactions of ten genotypes of wheat for yield and heading days with ten environments were predicted by first four principal components of genotypes and environments. Grain filling duration was predicted by first two principal components and grain filling rate by first principal components. The genotypes BAW 1118, BAW 1122, BAW 1140 and BAW 1141 were the most stable genotypes for yield as estimated by both AMMI stability value (ASV) and regression method. Alli late seeding environments were closer to each other than any optimum environments and vice versa with some variations. Influence of genotypes was the highest in determining grain filling rate of the tested genotypes followed by environments. So, there was less differences in genotypic response for the characters across the environments. The hierarchical classification revealed that, stable genotypes BAW 1118, BAW 1140 and BAW 1141 were closer to each other. Rajshahi optimum environment was different than other optimum environments as well as Jamalpur late environment was also different from other late environments, for attaining higher yield in the tested wheat genotypes.en_US
dc.language.isoenen_US
dc.publisherHAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR.en_US
dc.subjectBREAD WHEATen_US
dc.titleAPPLICATION OF AMMI MODEL FOR G X E INTERACTION IN BREAD WHEATen_US
dc.typeThesisen_US


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