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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Physiological and biochemical assortment in different wheat genotypes (Triticum aestivum L.) under rain fed conditions

Syeda Okasha Javed A , Shahid Iqbal Awan A , Sania Shouket A , Kotb A. Attia https://orcid.org/0000-0002-2992-1765 B , Zhu Xi C , Arif Ahmed Mohammed B , Sher Aslam Khan D , Sayeda Tanavish Javed E and Yasir Majeed https://orcid.org/0009-0000-2141-2010 A F *
+ Author Affiliations
- Author Affiliations

A Laboratory of Plant Breeding and Molecular Genetics, University of Poonch, Rawalakot, Azad Kashmir, Pakistan.

B Department of Biochemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.

C Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture and Rural Affairs of China/Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticulture Product, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, P.R. China.

D Department of Plant Breeding and Genetics, The University of Haripur, Haripur 22620, Pakistan.

E The University of Lahore, Defense Road, Lahore, Punjab, Pakistan.

F College of Agronomy, Gansu Agricultural University, Lanzhou 730070, P.R. China.

* Correspondence to: yasirmajeed5453@gmail.com

Handling Editor: Inzamam Haq

Functional Plant Biology 51, FP23252 https://doi.org/10.1071/FP23252
Submitted: 9 November 2023  Accepted: 1 February 2024  Published: 18 March 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Wheat (Triticum aestivum L.) is the most extensively cultivated cereal crop in the world; however, its growth and development are affected by different types of biotic and abiotic stress conditions. The aim of this study was to assess the physico-chemical diversity in different wheat genotypes under rain-fed conditions. Principle component analysis (PCA) showed that significant variation for different components contributed 77.87% of total variability among all genotypes. In the scree plot, the first two PCs (PC1 = 44.75%, PC2 = 14.28%) had significant differences for numerous agronomic traits. The scatter biplot depicted eight genotypes (Zardana, NR-462, D-97, BARS-2009 (a check), NR-481, Tarnab-73, NR-489 and Pirsabak-91) with high diversity (variation ~90%) for different morphological traits, identifiable as they were located further away from the origin than other genotypes. Factor analysis of loading factors among wheat genotypes across different morpho-physiological traits also showed significant diversity for positive and negative loads. In cluster analysis, genotypes such as BWP-97, BARS-2009, NR-489, NR-448 and Pak. 13 were outliers, indicating significant diversity among all genotypes for different agronomic traits. Biochemical analysis showed maximum values for antioxidant activity, total phenolic content, and total flavonoid content in lines NR-485 (93.76%), NR-489 (3.55 mg gallic acid equivalent (GAE)/g), and the variety Suleman-96 (3.45 mg quercetin equivalent (QE)/g), respectively. This study provides new insights for understanding the diversity of different wheat genotypes under rain-fed conditions, and the selected genotypes can be evaluated for further breeding programs.

Keywords: biochemical analysis, diversity, factor analysis, genotypes, physiological traits, principle component analysis, rain-fed, wheat.

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