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Browsing Preprint and Postprint Journal Articles by Author "ABA, D. A."
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- ItemAUTOTYPE SORGHUM GRAIN FOR BREWINGABA, D. A.; Bello, S.A.
- ItemCHARACTERIZATION OF SOME RELEASED SORGHUM VARIETIES AND FOR FOOD AND INDUSTRIAL UTILIZATION IN NIGERIA(2005) ABA, D. A.; ABU, E.; CIUNDO, P.S.; MARLE, P.S.; MAIGIDA, D.N.; OGUNGBILE, A.O.Seven sorghum varieties and three sorghum lines were analysed for their biochemical composition, effect of malting time on cold water extract (CWE %}, malting loss. Sumsorg-3, Samsorg-7, Samsorg-41. SRN 4841, Samsorg-38, SSV 98001, NR 71168 and NRL 3 had protein content above 12%. SRN 4841 had the highest carbohydrate of 85.30. SRN 4841 gave highest cold water extract (CWE %) of 103.62% at day 6, There was significant (0.05) correlation between days to flowering and carbohydrate (r = 0.37). Plant height showed negative correlation to protein content. Yield was negatively significantly correlated to protein content (r = -0.545). Some of the sorghum varieties have been identified to be useful as nutritious source of food and for use in the malting industry.
- ItemGENOTYPIC AND PHENOTYPIC VARIANCE AND CORRELATIONS IN S5 LINES OF A PEARL MILLET POPULATION (Pennisetum americanum (L.) Lcckc)(2004-08-20) YEYE, M. Y.; ABA, D. A.There were 78 S5 lines of a nutlet population evaluated in two locations for two years in 1998 and 1992 using a simple 9x9 lattice design because of the great number of genotypes involved. Mean performance over the two locations were similar for some traits, hut different for certain others. Analysis of variances pooled over the years and locations indicated that genotypic mean square estimates were significant at 1% level of probability for plant height, car length, ear weight and threshing percentage, and at 5% level for grain yield per ear, days to 50% heading and days to 50%, blooming. Over the locations, the estimates were significant at 1% level for noding and threshing percentage. Both negative and positive correlation coefficients were observed and for a larger number of the associations in the population, the genotypic correlation coefficients were slightly higher than the phenotypic. The highest correlation coefficient was obtained between the ear weight and threshing percentage. The tallest plants were also positively correlated with plant noding (rg 0.910). Based on the correlation coefficient obtained in this study, plant nodding and ear characters would be best selection indices for obtaining a high yielding millet population. The closeness between phenotypic and correlation coefficient will render efficient any selection based on the phenotype,