1) A Theoretical Exposition on Internal Labour Mobility, Friction and Organizational Stability.
Author Details: Boahen, Patience Ama Nyantakyiwaa – Assistant Registrar Takoradi Polytechnic P.O. Box 256 Takoradi, Ghana
Abstract
Intra-corporate labour circulation holds a lot of promise for the stability of corporations in a potentially turbulent external environment. The dangers emanating from the latter can lead to organisational atrophy. So, labour movement is good. But it can be risky because movement/circulation induces friction whose dangers can be superficially masked by the gains accruing from processes of labour mobility.
A heuristic framework structured with normal organisational features is proposed to help deduce the actual nature of friction. The results from such efforts to capture friction can be quantified and used to gauge the placement of a corporate entity in an industry. This can then be used to ascertain the future prospects of an organization in terms of its internal and external stability.
Keywords: Labour mobility, organisational friction, heuristic framework
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2) Variability of Large Seeded Faba Bean Genotypes for their Yield and Yield Components in Vertisol Areas of Southern Tigray, Ethiopia.
Author Details: Birhanu Amare Gide-Alamata Agricultural Research Center, Pulse and oil Cros Case team, P.O.Box 56, Tigray, Ethiopia
Abstract
32 faba bean genotypes were tested at Hashenge and Aiba in 2015 to evaluate the variability of large seeded faba bean genotypes for their yield and yield components in water logging areas. Alpha lattice design with two replications was used for the experiment. ANOVA has showed high statistical significant difference (P<0.01) for thousand seed weight over locations. Based on this, genotype EH 06007-2 scored highest 1000 seed weight (1111gm) followed by EH 06088-6 (971.5) and EH 06007-4 (938.5 gm) over locations. But least seed weight was obtained from the local genotype (505.5 gm) followed by the standard check Walki (587.3) and ET 07017-bulk (648.0 gm) genotypes. Moreover, grain yield has also showed significant difference (p<0.05) at Aiba location but no significant difference in the other location (Hashenge). At Aiba, genotype ET 07013-1 gave the highest grain yield (59.31 qt/ha) followed by genotype ET 07005-1 (57.85) and EH 06088-1 (54.77 qt/ha). Significant positive correlations were also recorded TSW with DM (0.624), number of seeds per pod (0.567) and NTPP (0.427) but it was negatively correlated with NPPP (-0.487). Grain yield was significantly and positively correlated with plant height (0.49) and NPPP (0.369). The highest distance (0.692) was between cluster V and IV, which suggested that the members of these clusters diverge on most of the studied traits and could be used in breeding programs. Principal component (PC) analysis revealed that the first four PCs having eigenvalues >1 explained 83.7% of the total variation. The variance explained by PC1 was mostly due to traits related to DM, TSW, NSPP and NTPP, whereas PC II was mostly related to grain yield, plant height, NPPP and thousand seed weight traits. In this experiment, the PC analysis ultimately showed the amount of variability for the traits that could be used for the improvement of large seed sized faba bean genotypes
Key Words: faba bean, Genotypes, grain yield, Large seed size
Abbreviations: DM: Days to maturity; NTPP: Number of Tillers per Plant; NPPP: Number of pods per plant; NSPP: Number of seeds per pod; TSW
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