Evidence map›Paper›PMID 41039234›Full record

ArticleBMC plant biology2025

Genetic variability in physiological and agronomic traits of newly developed rice lines under well-watered and water-deficit conditions.

Raghda M Sakran, Mohamed I Ghazy, Mahmoud M Gaballah, Fatma A Hussein, Samah M Aamer, Hasnaa A Ghazy, Sobhi F Lamlom, Ahmed M Abdelghany

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Raghda M SakranRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Mohamed I GhazyRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Mahmoud M GaballahRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Fatma A HusseinRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Samah M AamerRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Hasnaa A GhazyRice Research Department, Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Sobhi F LamlomPlant Production Department, Faculty of Agriculture Saba Basha, Alexandria University, Alexandria, 21531, Egypt. sobhifaid@alexu.edu.eg.
Ahmed M AbdelghanyCrop Science Department, Faculty of Agriculture, Damanhour University, Damanhour, 22516, Egypt. ahmed.abdelghany@agr.dmu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water scarcity is a critical environmental stress that profoundly constrains rice growth and productivity. Consequently, the development of drought-tolerant and high-yielding rice genotypes is of paramount importance to sustain rice production and safeguard global food security. This field-based study aimed to evaluate the physiological and agronomic performance of diverse advanced rice breeding lines to identify genotypes with high yield and drought tolerance. A set of 15 newly developed rice lines and three check cultivars were used to assess their physiological and agronomic responses under well-watered (WW) and water-deficit (WD) conditions over two consecutive growing seasons, 2022 and 2023. The results showed highly significant differences (p < 0.01) among irrigation regimes, genotypes, and their interactions for all studied traits. Under WD conditions, there was a substantial decrease in chlorophyll content, relative water content (RWC), plant height, grain yield (GY), and yield attributes. On the other hand, leaf rolling, proline content, antioxidant enzyme activities (catalase and peroxidase), and sterility percentage were significantly increased compared to WW conditions. The genotypes L8, Sakha-107, and IRAT-170 had the best performance for chlorophyll content, RWC, and stomatal conductance under WD conditions, respectively. Additionally, L5 and L11 recorded the highest GY under WD conditions. The principal component analysis combined with correlation matrix analysis emphasized that both physiological traits (chlorophyll content, RWC, proline accumulation, peroxidase activity, and catalase activity) and agronomic traits (number of panicles per plant and GY) can be considered as effective selection criteria to improve productivity in rice breeding programs under limited water conditions. Notably, genotypes L5 and L11 demonstrated superior GY performance under water-deficit conditions, representing the most valuable genetic materials for drought-prone environments. These elite genetic resources constitute promising germplasm for introgression into breeding programs to enhance rice's drought resilience and maintain productivity under water-limited conditions.

Indexed as

Genetic VariationOryzaWaterChlorophyllDrought ResistanceDroughtsGenotypePlant BreedingChlorophyllWaterGenetic variabilityMultivariate analysisPhysiological traitsRice genotypesWater stress

Identifiers

PMID41039234
PMCPMC12490075

What OpenQuestion 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 OpenQuestion graph.