GENOTYPIC ANALYSIS OF SEED YEILD AND IT COMPONENT IN FABA BEAN (Vicia faba L.)

AGWAN, ISRA M. M. A. (2021) GENOTYPIC ANALYSIS OF SEED YEILD AND IT COMPONENT IN FABA BEAN (Vicia faba L.). PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 22 (5-6). pp. 115-122.

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Abstract

088FB, 4- FLIP11-092FB, 5- Line46-01 and 6- Local Check in a full diallel crossing program first method (Model I) to produce F1 hybrids, of thirteen single hybrids during growing season 2012–2013. The parents and F1 hybrid were tested by utilizing Randomized Complete Block Design (R.C.B.D.) with three replications an experiment was conducted by using six genotypes of faba (Vicia faba L.) viz., 1- FLIP06-005FB, 2- FLIP06-016FB, 3- FLIP11-to carry out an experiment in the Field Crop department, College of Agriculture and Forestry, Mosul University, during growing season 2013–2014. The study aimed to evaluate the performance of hybrids and their parents for identify promising hybrids and the objectives to develop single cross hybrids in addition to estimate genotypic and phenotypic correlation sand path coefficient analysis for the studied characters. Results showed that parents and F1 were significantly different for all the studied character. the specific and general combining ability analysis showed a different significant for all studied characters except the weight 100 seeds in plant and the rate between the component of general combining ability variation and the component of specific combining ability variation less of one for all characters except the plant high and the parents have a high effect for general combining ability for the parent (line 46-01), (FLIP11-092FB), (FLIPO6-005FB), (France) for many characters. and the hybrids have a high value and desirable to specific combining ability effect for the hybrids (2*3), (3*5), (1*5), (5*6), (2*4), (3*6), (1*2), (4*6) for most of characters.

Item Type: Article
Subjects: Universal Eprints > Biological Science
Depositing User: Managing Editor
Date Deposited: 29 Nov 2023 13:01
Last Modified: 29 Nov 2023 13:01
URI: http://journal.article2publish.com/id/eprint/3300

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