Evidence map›Paper›PMID 40983899›Full record

ArticleBMC plant biology2025

Potassium application methods and natural extracts influence yield components and biochemical traits in Faba bean genotypes.

Mohamed Ebaid, Ayman Abdeldaiem Mohamed, Dalia Elhag, Radwa Hamdy, Ahmed M Saad, Ahmed M Abdelghany, Sobhi F Lamlom

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohamed EbaidPlant Production Department, Arid Lands Cultivation Research Institute (ALCRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, 21934, Alexandria, Egypt.
Ayman Abdeldaiem MohamedAgronomy Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Dalia ElhagAgronomy Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Radwa HamdyAgronomy Department, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Ahmed M SaadAgronomy Department, Faculty of Agriculture, Benha University, 13511, Benha, Egypt.
Ahmed M AbdelghanyCrop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt. ahmed.abdelghany@agr.dmu.edu.eg.
Sobhi F LamlomPlant Production Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, 21531, Egypt. sobhifaid@alexu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the interactive effects of potassium application methods (foliar and soil) and natural extracts (yeast, algae, and molasses) on yield components and biochemical characteristics of three faba bean genotypes (Giza-716, Nubaria-4, and Nubaria-5). Field experiments were conducted over two consecutive growing seasons (2022/2023 and 2023/2024) using a split-plot design with four replicates. Results demonstrated significant effects of both fertilizer treatments and cultivar selection on most measured parameters, except for 100-seed weight. Molasses and foliar potassium applications significantly enhanced phosphorus content, seed yield, and yield components, while yeast and algae extract primarily improved nitrogen content. Among genotypes, Giza-716 consistently exhibited superior performance across most measured traits compared to the controls. The Giza-716/molasses treatment combination proved most effective for enhancing most studied traits across both seasons, with specific exceptions: Giza-716 with foliar potassium application maximized seed number per plant in the second season, while Nobaria5 with yeast extract optimized nitrogen content. For protein content enhancement, all three cultivars responded favorably to either yeast or algae extracts. Our findings suggest that combining potassium application with Giza-716 cultivation offers a promising approach for enhancing biochemical traits, seed yield, and yield components in faba bean production systems. Molasses and foliar potassium application proved particularly effective for most parameters evaluated.

Indexed as

PotassiumVicia fabaFertilizersGenotypeMolassesSeedsFertilizersPotassiumBiochemical analysisFaba beanNatural extractsPotassiumSeed yield components

Identifiers

PMID40983899
PMCPMC12455818

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.