dc.contributor.author | Otulo, Wandera Cyrilus | |
dc.contributor.author | Ojung’a, Okoth Samson | |
dc.contributor.author | Otumba, Edgar Ouko | |
dc.date.accessioned | 2022-09-21T07:15:55Z | |
dc.date.available | 2022-09-21T07:15:55Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Otulo, W. C., Ojunga, S., & Otumba, E. (2019). Screening New strains of sugarcane using Augmented Block Design. Mathematical theory and Modelling, 5(5), 153-161. | en_US |
dc.identifier.uri | https://ir.tum.ac.ke/handle/123456789/17480 | |
dc.description.abstract | Sugar production has over time experienced a number of challenges, that is, the choice of the variety to plant;
soil nutrients variation and market competition amongst others have greatly affected sugar production. This
study has effectively and efficiently employed the technique of experimental designs to ascertain family
selection by comparing Augmented Block designs and Randomized Complete block designs. The augmented
block design is widely used in breeding programs, particularly in screening and selection of large number of
germplasm lines with non-replicated test treatments and replicated control treatments to estimate the
experimental errors. The study establishes a relationship between augmented block designs in screening and
completely randomized block design in screening new strains of Sugarcane. In the two designs analyzed, we
consider 5 test treatments and 2 control treatments for augment design and the same number of treatments for
Randomized Complete Block Design. In the event of screening new sugarcane varieties, attempts have been
made to find the effectiveness of augmented block designs and completely randomized block designs in test
families and control checks where the results reveal that Augmented Block Design is 11.86 times more efficient
than a Randomised Block Design. In the conclusion of this study we have shown that Augmented Block Design
is better suited when the plots are limited and Randomized Complete Block Design is better suited when
treatments are many. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Mathematical Theory and Modeling | en_US |
dc.subject | Augmented Block Design | en_US |
dc.subject | Balanced incomplete block design | en_US |
dc.subject | Randomized complete Block Design | en_US |
dc.subject | Latin Square, Unreduced BIB Desig | en_US |
dc.title | Screening of New strains of sugarcane using Augmented Block Designs | en_US |
dc.type | Article | en_US |