Search

Your search keyword '"Rahman, M.A."' showing total 124 results
Start Over Author "Rahman, M.A." Publication Year Range Last 10 years Publication Type Academic Journals
124 results on '"Rahman, M.A."'

17. A modification in an open centre training system for increasing the crotch angles of peach scaffold branches

Author

Abdel-Rahman M.A. Mohamed, Heba F. Sayed, Lidia Sas Paszt, and Augustyn Mika

Subjects
pruning peach, open centre, pruning modification, fruit training, de-branched top, crotch angles, Agriculture (General), S1-972
Abstract

One-year-old 'Florida Prince' cultivar peach trees grafted on a 'Nemaguard' rootstock were planted in the early spring of 2018 at the Centre of Agricultural Research and Experiments, Minia University, located in southwest Egypt. The trees were planted 5 × 5 m in a randomised complete block design with four replicates, with ten trees in each replicate. In the late spring, two different pruning systems were applied; traditional open centre (OC) and de-branched top trees (DBT). The OC trees were headed at 80 cm above the ground. DBT is a modification of the OC, but no heading was undertaken and the new shoot growth arising from the 20 cm at the top of the plant were removed. Before the winter pruning took place, measurements were taken on the upper two opposite branches. The average length and diameter values of the upper two opposite branches at the top of the trees trained to the OC were higher than those trained with the DBT. In contrast, the distance between the upper two branches (25 cm) at the top of the DBT trees was significantly higher. Likewise, the values of the crotch angles (48°) and the number of branches (81 of 100 branches) that showed desired crotch angles (more than 40°) were remarkably higher in the trees trained with the DBT. After the winter pruning took place, the DBT trees were higher than the OC trees. Additionally, the trees trained with the DBT had low pruning costs and took less time. Moreover, the pruning wood weight of the DBT trees was about half of the pruning wood weight of the OC trees. In conclusion, the DBT training system showed the desired impact on the crotch angles and the tested pruning characteristics.

Published
2021
Full Text
View/download PDF

48. Metabolic Pathway Prediction Using Non-Negative Matrix Factorization with Improved Precision.

Author

Basher, Abdur Rahman M.A., Mclaughlin, Ryan J., and Hallam, Steven J.

Subjects
*NONNEGATIVE matrices, *MATRIX decomposition, *KEY performance indicators (Management), *MACHINE learning, *CELL populations, *MICROBIAL communities
Abstract

Machine learning provides a probabilistic framework for metabolic pathway inference from genomic sequence information at different levels of complexity and completion. However, several challenges, including pathway features engineering, multiple mapping of enzymatic reactions, and emergent or distributed metabolism within populations or communities of cells, can limit prediction performance. In this article, we present triUMPF (triple non-negative matrix factorization [NMF] with community detection for metabolic pathway inference), which combines three stages of NMF to capture myriad relationships between enzymes and pathways within a graph network. This is followed by community detection to extract a higher-order structure based on the clustering of vertices that share similar statistical properties. We evaluated triUMPF performance by using experimental datasets manifesting diverse multi-label properties, including Tier 1 genomes from the BioCyc collection of organismal Pathway/Genome Databases and low complexity microbial communities. Resulting performance metrics equaled or exceeded other prediction methods on organismal genomes with improved precision on multi-organismal datasets. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results