Efficiency of Some Selection Indices for Seed Yield Per Plant and its Components in Faba Bean (Vicia Faba L.)

The efficiency of some selection indices was estimated in F3-generation of the faba bean population Giza 40 x Sakha 1 at the experimental farm of Faculty of Agriculture, Minia University during three successive seasons; 2021/2022 - 2023/2024. High significant differences among F3-families for the most studied traits. High values of genotypic g.c.v. and phenotypic p.c.v. coefficients of variability indicated presence of variability in the F3 base population sufficient to achieve high response to selection for all traits. High estimates of heritability in broad sense for the most studied traits were observedcoupled with high expected genetic advance reached to 40.61% for number of pods/plant. Values of g.c.v. and p.c.v. % of the selection criteria and the other correlated traits were decreased gradually from F3 to F4 then F5 generations. Heritability broad sense values increased from F4 to F5 for all traits of selection for seed yield/plant and the different selection indices. High significant positive genotypic and phenotypic correlation coefficients between seed yield/plant SY/P and the most studied traits except negative correlations with days to flowering. In F5-generation, selection for SY/P detected eight superior families No. 1, 5, 16, 30, 48, 49, 65 and 66. Selection for SY/P ranked the first one. It could be conclude that single trait selection for SY/P was superior compared to the different models of selection indices forSY/P.

Authors

Institutions

Publication Details

Journal
Scientific Journal of Agricultural Sciences
Published
2025-03-01
DOI
https://doi.org/10.21608/sjas.2025.359489.1495
Citations
1
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficiency of Some Selection Indices for Seed Yield Per Plant and its Components in Faba Bean (Vicia Faba L.)

Hany Ahmed Fouad
1 citations
Scientific Journal of Agricultural Sciences
Agricultural pest management studies
1.75
article

Efficiency of Some Selection Indices for Seed Yield Per Plant and its Components in Faba Bean (Vicia Faba L.)

Hany Ahmed Fouad
article en
1 citations

Abstract

The efficiency of some selection indices was estimated in F3-generation of the faba bean population Giza 40 x Sakha 1 at the experimental farm of Faculty of Agriculture, Minia University during three successive seasons; 2021/2022 - 2023/2024. High significant differences among F3-families for the most studied traits. High values of genotypic g.c.v. and phenotypic p.c.v. coefficients of variability indicated presence of variability in the F3 base population sufficient to achieve high response to selection for all traits. High estimates of heritability in broad sense for the most studied traits were observedcoupled with high expected genetic advance reached to 40.61% for number of pods/plant. Values of g.c.v. and p.c.v. % of the selection criteria and the other correlated traits were decreased gradually from F3 to F4 then F5 generations. Heritability broad sense values increased from F4 to F5 for all traits of selection for seed yield/plant and the different selection indices. High significant positive genotypic and phenotypic correlation coefficients between seed yield/plant SY/P and the most studied traits except negative correlations with days to flowering. In F5-generation, selection for SY/P detected eight superior families No. 1, 5, 16, 30, 48, 49, 65 and 66. Selection for SY/P ranked the first one. It could be conclude that single trait selection for SY/P was superior compared to the different models of selection indices forSY/P.

Scientific Journal of Agricultural SciencesVol. 7(1)
Minia University (EG)
Zero hunger
Openalex Percentile: Top 16%
Agricultural pest management studies
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.