Evidence map›Paper›PMID 42103767›Full record

ArticleScientific reports2026

Dissecting genetic insights and combining abilities into growth and productivity of bread wheat under rainfed environments.

Kashif Ahmed, Mukhtar Ahmed, Ghulam Rasool, Attaullah Lashari

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kashif AhmedDirectorate of Cereal Crops, Agriculture Research Institute (ARI), Government of Balochistan, Quetta, Pakistan. kashif_ahmed01@yahoo.com.
Mukhtar AhmedDepartment of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
Ghulam RasoolDepartment of Plant Breeding and Genetics, Balochistan Agriculture College, Quetta, Pakistan.
Attaullah LashariDepartment of Plant Breeding and Genetics, Balochistan Agriculture College, Quetta, Pakistan.

Funding

Agriculture & Cooperatives Department, Government of Balochistan, Quetta, Pakistan 100 PhD Scholarships for Agriculturists
6 · The paper itself

Abstract

Bread wheat (Triticum aestivum L.) production faces increasing instability under rainfed and semi-arid conditions, necessitating the development of cultivars adapted to these environments. However, the genetic basis of physiological growth dynamics and their connection to yield under water-limited conditions remains poorly understood, limiting breeding progress. To address this, six genetically diverse parental lines were crossed in a full diallel mating design (Method I, Model I) and evaluated with their F₁ hybrids using a randomized complete block design with three replications across seven phenological stages (Zadok scale Z-20 to Z-92). Analysis of variance showed highly significant (P < 0.01) genetic variation among genotypes for all growth, yield, and phenological traits. Among parental lines, Pakistan-2013 displayed superior performance, with early heading (110.5 days), longer grain-filling duration (46.1 days), the highest thousand-grain weight (47.3 g), and the maximum grain yield (27.6 g plant⁻¹). In contrast, NR-514 was the weakest parent, with the lowest thousand-grain weight (32.0 g) and grain yield (12.2 g plant⁻¹). Among direct crosses, Pakistan-2013 × NR-499 showed superiority, with the maximum number of tillers (16.1 plant⁻¹), the highest grains per spike (65.1), the highest thousand-grain weight (51.2 g), and the highest grain yield (31.5 g plant⁻¹). Reciprocal effects were most notable in NR-499 × Pakistan-2013, with significant positive RCA effects for thousand-grain weight (4.933**) and grain yield (4.929**), indicating substantial maternal contributions. General combining ability (GCA) effects identified Pakistan-2013 as the best general combiner for yield-related traits (GCA = 3.785** for TGW; 3.556** for GYPP), suggesting dominant additive gene action. Specific combining ability (SCA) effects were highest in Borlaug-2016 × NR-516 for thousand-grain weight (5.626**) and grain yield (7.471**). Additionally, Pakistan-2013 × NR-499 showed significant positive SCA for grain yield (2.835*), indicating strong non-additive gene action (dominance/epistasis) and heterotic potential in these elite hybrids. Stage-dependent gene action was observed for growth traits, with additive effects prevailing during early stages and non-additive effects influencing reproductive stages. Baker's ratio (> 0.70) and GCA: SCA ratios (> 1) confirmed the predominance of additive gene action for most traits, supporting early-generation selection. These findings establish a genetic framework that links growth dynamics, phenology, and yield components, offering practical strategies for developing climate-adapted wheat ideotypes for rainfed ecosystems. Future research should focus on multi-environment trials to confirm the stability of combining ability and utilize molecular marker-assisted selection, thereby speeding up the introgression of favorable alleles into breeding programs.

Indexed as

TriticumEdible GrainEnvironmentGenetic VariationGenotypePakistanPhenotypePlant BreedingRainClimate adaptabilityCombining abilityGene actionGrowth dynamicsTriticum aestivum

Identifiers

PMID42103767
PMCPMC13342498

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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.