Show simple item record

dc.contributor.authorOtulo, Wandera Cyrilus
dc.contributor.authorOjung’a, Okoth Samson
dc.contributor.authorOtumba, Edgar Ouko
dc.date.accessioned2022-09-21T07:15:55Z
dc.date.available2022-09-21T07:15:55Z
dc.date.issued2014
dc.identifier.citationOtulo, 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.urihttps://ir.tum.ac.ke/handle/123456789/17480
dc.description.abstractSugar 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.isoenen_US
dc.publisherMathematical Theory and Modelingen_US
dc.subjectAugmented Block Designen_US
dc.subjectBalanced incomplete block designen_US
dc.subjectRandomized complete Block Designen_US
dc.subjectLatin Square, Unreduced BIB Desigen_US
dc.titleScreening of New strains of sugarcane using Augmented Block Designsen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record