Evidence map›Paper›PMID 41062982›Full record

ArticleBMC plant biology2025

Agronomic parameters and drought tolerance indices of bread wheat genotypes as influenced by well-watered and water deficit conditions.

Md Abu Hena Sorwar Jahan, Md Golam Azam, Mohammed Mohi-Ud-Din, Md Motiar Rohman, Ferdousi Begum, Md Hafizul Haque Khan, Istiak Ahmed, Md Noor Alam Chowdhury, Md Shamsul Alam, Md Robiul Alam and 6 more

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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 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

16 authors.

Md Abu Hena Sorwar JahanBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Md Golam AzamBangladesh Agricultural Research Institute, Pulses Research Centre, Ishwardi, Bangladesh.
Mohammed Mohi-Ud-DinDepartment of Crop Botany, Gazipur Agricultural University, Gazipur, Bangladesh.
Md Motiar RohmanBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Ferdousi BegumBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Md Hafizul Haque KhanBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Istiak AhmedBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Md Noor Alam ChowdhuryBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Md Shamsul AlamBangladesh Agricultural Research Institute, Pulses Research Centre, Ishwardi, Bangladesh.
Md Robiul AlamBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Mohammad Kamrul HasanBangladesh Agricultural Research Institute, Gazipur, Bangladesh.
Tasnim Zerin KhanBangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh.
Ahmed GaberDepartment of Biology, Faculty of Science, Taif University, P.O. Box 11099, 21944 Taif, Saudi Arabia.
Viliam BárekInstitute of Landscape Engineering, Faculty of Horticulture and Landscape Engineering, Slovak University of Agriculture Nitra, Tr. A. Hlinku 2, 94901 Nitra, Slovakia.
Marian BresticInstitute of Plant and Environmental Sciences, Slovak University of Agriculture, Nitra, Tr. A. Hlinku 2, 949 01 Nitra, Slovakia.
Akbar HossainSoil Science Division, Bangladesh Wheat and Maize Research Institute, Dinajpur, Bangladesh. akbarhossainwrc@gmail.com.

Funding

This research was also partially funded by Taif University, Saudi Arabia, Project No. (TU-DSPP-2024-07). TU-DSPP-2024-07
6 · The paper itself

Abstract

backgroundA primary threat to food security stems from the expanding global population and climate change, which have increased the frequency of droughts. Owing to shifting climatic conditions, abiotic stresses such as severe drought are intensifying, reducing wheat productivity. This study aimed to evaluate the response of elite drought-tolerant wheat genotypes to water deficit stress by analysing agronomic and physio-biochemical traits, with the goal of identifying promising genotypes for breeding.

methodsTwenty wheat genotypes sourced from various national and international drought-tolerant nurseries, including a benchmark variety, were tested under water deficit and well-watered conditions over two consecutive years. The data collected included agronomic traits such as plant height (PH), days to heading (DH), days to anthesis (DA), days to physiological maturity (DPM), canopy temperature, SPAD values at different growth stages, intercepted photosynthetically active radiation above the canopy (IPARAC) and on the ground (IPAR OG), yield stability index (YSI), stress tolerance index (STI), stress index (SI), leaf area index (LAI), spike length (SL), grains per spike (GPS), 1000-grain weight (TSW), grain yield (GY; t/ha), and biomass yield (BY; t/ha).

resultsTo streamline the study, two years of aggregated data were analysed for each parameter. Drought tolerance was assessed based on grain yield, and multitrait genotype‒ideotype distance (MGIDI) indices were employed to select drought-tolerant wheat genotypes. Significant differences were observed among the wheat genotypes across all measured parameters under both conditions. Under normal conditions, correlation analysis revealed that grain yield (GY) and biomass yield (BY) had the strongest positive relationship (r = 0.75**), followed by TSW, LAI, GPS, SL, PH, DPM, and DA. In contrast, under water deficit stress, BY exhibited a notable correlation with plant height (PH) (r = 0.42). Under both irrigated and water deficit stress situations, GY had positive and substantial correlations with PH, DA, DPM, GPS, SL, the STI, and the YSI. Two of the ten main components (PCs) accounted for 52.3% and 50.4% of the overall variation under water deficit and well-watered conditions, respectively. Additionally, the genotypes were separated into three clusters via a cluster heatmap, and the most tolerant genotypes (E38, E40, E41, E35, and E33) were found to be in cluster 3, which revealed their genetic relatedness. Genotypes E9 and E29 were found to be sensitive to water deficit, whereas genotypes E40, E38, and E35 were drought tolerant, according to tolerance indices.

conclusionPlant breeders may find the MGIDI useful for selecting genotypes on the basis of a variety of characteristics because it is a straightforward and robust selection method. Among the 20 wheat genotypes, the most stable and productive were E38, E30, E35, E40, and E34, according to an analysis of MGIDI for diverse settings. This was likely caused by the high MPS (mean performance and stability) of specific traits under different situations. The features that have been identified can be used as genitors in hybridization procedures to create wheat breeding materials that are resistant to drought. The genotypes and features that were found to be drought tolerant could be used to create new genotypes that are resistant to drought stress.

Indexed as

DroughtsTriticumDehydrationDrought ResistanceGenotypeStress, PhysiologicalWaterWaterCluster heatmapCorrelation analysisPrincipal component analysisTolerance indicesVariance componentsWater deficit stressWheat

Identifiers

PMID41062982
PMCPMC12506163

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