Unlocking wheat yield potential through evaluation of high-performing hybrid lines in semiarid conditions of northern Pakistan

Wheat (Triticum aestivum L.) yield in Pakistan has remained stagnant over the past two decades mainly due to the narrow genetic diversity of cultivated varieties. To overcome this limitation and explore new genetic resources for improved productivity, twelve Chinese wheat hybrid lines were evaluated in comparison with two local cultivars at the Agronomy Research Farm, the University of Agriculture Peshawar, Pakistan over two seasons (2021-2022, 2022-2023). Results showed that early emergence occurred in the hybrid lines 20 BH 37 and 20 BH 53 (12.5 days). Wheat lines 20 BH 53 and 20 BH 56 produced higher number of tillers m-2 (441 and 412), spike density (396 and 391 spikes m-2), thousand grain weight (41.9 g and 43.5 g), grains spike-1 (54 and 56), biological yield (9561 and 9306 kg ha-1), and grain yield (4253 and 4225 kg ha-1), respectively. Hybrid lines 20 BH 53 and 20 BH 56 also exhibited a 17-18% increase in grain yield over Wadan-17 and a 16-17% increase over Akbar-19, highlighting their potential as superior genetic resources for wheat productivity enhancement. Positive correlation was observed for grain yield and yield components. Principal component analysis revealed considerable genetic diversity among the tested hybrid lines, supporting their inclusion in future breeding programs. It is concluded that wheat hybrid lines 20 BH 53 and 20 BH 56 outperformed in yield and yield traits over local cultivars under semiarid conditions, indicating their suitability for agro-ecological conditions of northern parts of Pakistan and for future breeding programs.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-09-11
DOI
https://doi.org/10.1371/journal.pone.0356875
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Unlocking wheat yield potential through evaluation of high-performing hybrid lines in semiarid conditions of northern Pakistan

Hamid Ali Khan, Yutian Gao, Hongyao Lou, Beena Saeed et al.
PLoS ONE
Genetics and Plant Breeding
article

Unlocking wheat yield potential through evaluation of high-performing hybrid lines in semiarid conditions of northern Pakistan

Hamid Ali Khan, Yutian Gao, Hongyao Lou, Beena Saeed, Zhang Shengquan, Muhammad Mehran Anjum, Maaz Khan, Muhammad Arif, Fazal Munsif, Basit Ullah
article en

Abstract

Wheat (Triticum aestivum L.) yield in Pakistan has remained stagnant over the past two decades mainly due to the narrow genetic diversity of cultivated varieties. To overcome this limitation and explore new genetic resources for improved productivity, twelve Chinese wheat hybrid lines were evaluated in comparison with two local cultivars at the Agronomy Research Farm, the University of Agriculture Peshawar, Pakistan over two seasons (2021-2022, 2022-2023). Results showed that early emergence occurred in the hybrid lines 20 BH 37 and 20 BH 53 (12.5 days). Wheat lines 20 BH 53 and 20 BH 56 produced higher number of tillers m-2 (441 and 412), spike density (396 and 391 spikes m-2), thousand grain weight (41.9 g and 43.5 g), grains spike-1 (54 and 56), biological yield (9561 and 9306 kg ha-1), and grain yield (4253 and 4225 kg ha-1), respectively. Hybrid lines 20 BH 53 and 20 BH 56 also exhibited a 17-18% increase in grain yield over Wadan-17 and a 16-17% increase over Akbar-19, highlighting their potential as superior genetic resources for wheat productivity enhancement. Positive correlation was observed for grain yield and yield components. Principal component analysis revealed considerable genetic diversity among the tested hybrid lines, supporting their inclusion in future breeding programs. It is concluded that wheat hybrid lines 20 BH 53 and 20 BH 56 outperformed in yield and yield traits over local cultivars under semiarid conditions, indicating their suitability for agro-ecological conditions of northern parts of Pakistan and for future breeding programs.

PLoS ONEVol. 21(9)
University of Swabi (PK), Beijing Academy of Agricultural and Forestry Sciences (CN)
Openalex Percentile: Top 13%
Genetics and Plant Breeding
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.