Progress and Problems in Breeding for High Seed Protein Through Mutations in Vicia Faba in Egypt

Author(s):  
A. M. T. Abo-Hegazi
Keyword(s):  
1987 ◽  
Vol 67 (1) ◽  
pp. 79-85 ◽  
Author(s):  
G. G. ROWLAND

A recurrent selection method for use in faba bean (Vicia faba) was evaluated over a 10-yr period. The method consists of growing superior lines in open-pollinated random mating nurseries (RMN), selecting heavily podded plants from these lines, evaluating the offspring for yield and seed protein concentration, and replacing inferior lines in the RMN with selections deemed superior. Two types of RMN were established, one for yield (RMY) and the other for both yield and seed protein content (RMP). The criterion for entry of a line into the RMY was a seed yield in the top 3 % of a yield trial while entry into the RMP required a line to be in the top 5% for seed yield and 3% for protein content. A positive increase in seed yield of the selected lines from both RMNs was found over time, but no increase in seed protein content was noted.Key words: Vicia faba, recurrent selection, breeding method, faba bean


2020 ◽  
Vol 330 ◽  
pp. 127120 ◽  
Author(s):  
Seyedeh Parya Samaei ◽  
Mohammad Ghorbani ◽  
Davide Tagliazucchi ◽  
Serena Martini ◽  
Roberto Gotti ◽  
...  

1991 ◽  
Vol 225 (3) ◽  
pp. 459-467 ◽  
Author(s):  
Helmut BäUmlein ◽  
Wout Boerjan ◽  
Istvan Nagy ◽  
Ronald Bassfüner ◽  
Marc Van Montagu ◽  
...  

1993 ◽  
Vol 22 (4) ◽  
pp. 669-679 ◽  
Author(s):  
Ulrike Fiedler ◽  
Roman Filistein ◽  
Ulrich Wobus ◽  
Helmut B�umlein

1977 ◽  
Vol 57 (3) ◽  
pp. 951-953 ◽  
Author(s):  
G. G. ROWLAND

There were significant differences among 49 cultivars of faba beans (Vicia faba L.) for percent seed crude fibre, seed coat thickness, 1,000-seed weight and seed protein content; 1,000-seed weight was negatively correlated with seed crude fibre (r = −0.52) and positively correlated with seed coat thickness (r = 0.66). Step-wise multiple regression analysis showed that seed coat thickness could provide a partial prediction of seed crude fibre.


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