Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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8L2U4
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Estimates of genetic parameters are useful since they provide information on the inheritance of characters and help to predict the value of crosses. If the value of crosses cannot be predicted, many crosses need to be made which results in each cross having a small population size, fewer progenies in later generations and a lower probability of recovering good genotypes from each cross. The objectives of this study were therefore i) to estimate genetic parameters from diallel crosses involving five inbred lines: Feres Gama(37), Feleme(68), Mage(07), 1153(28) and 1182(44) that vary for different agronomic characters and ii) to determine the breeding value of the parents so that the progeny performance from crosses involving the best parents could be predicted. Data for agronomic characters were obtained from parents and F1 progenies evaluated in a greenhouse under waterlogged and free drainage conditions. The results highlighted the importance of additive gene action for spike length, number of seeds spike-1 and grain yield spike-1 under free drainage conditions and for days to heading and days to maturity at both treatment levels.
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