| dc.contributor.author | Ayubu, Anapapa O. | |
| dc.contributor.author | Koske, J. K. | |
| dc.contributor.author | Mutiso, J. M. | |
| dc.date.accessioned | 2021-04-29T07:52:56Z | |
| dc.date.available | 2021-04-29T07:52:56Z | |
| dc.date.issued | 2016-09 | |
| dc.identifier.citation | Advances and Applications in Statistics, Volume 49, Number 3, 2016, Pages 195-210 | en_US |
| dc.identifier.uri | OPTIMIZATION OF GERMINATION CONDITIONS OF Melia volkensii BY RESPONSE SURFACE METHODOLOGY | |
| dc.identifier.uri | http://hdl.handle.net/123456789/4609 | |
| dc.description.abstract | Germination of Melia volkensii was modelled using response surface methodology (rsm) whereby second order models were developed and the associated response surfaces analyzed. The factors under investigation were soil pH, temperature, chemical concentration and length of time of seed pre-treatment. Four chemicals were used for seed pre-treatment. These were potassium nitrate (KNO3), hydrogen | en_US |
| dc.language.iso | en | en_US |
| dc.subject | response surface methodology, central composite design, Melia volkensii, optimization. | en_US |
| dc.title | Optimization of Germination Conditions Of Melia volkensii By Response Surface Methodology | en_US |
| dc.type | Article | en_US |
