dc.contributor.advisor | Dr. Md. Hasanuzzaman | |
dc.contributor.author | TABASSUM, URMI | |
dc.date.accessioned | 2022-04-23T05:41:57Z | |
dc.date.available | 2022-04-23T05:41:57Z | |
dc.date.issued | 2010-08 | |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/594 | |
dc.description | Wheat (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.abstract | Eight 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.iso | en | en_US |
dc.publisher | HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR. | en_US |
dc.subject | BREAD WHEAT | en_US |
dc.title | APPLICATION OF AMMI MODEL FOR G X E INTERACTION IN BREAD WHEAT | en_US |
dc.type | Thesis | en_US |