Open Access

ARTICLE

Genome-Wide Analysis for Yield-Related Agronomic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Genotypes Using SSR Markers

Md. Mosiur Rahman^1,2, Md. Ruhul Quddus³, Quanle Xu⁴, Muhammad Malek Hossain², Rong Liu¹, Mengwei Li¹, Xin Yan¹, Guan Li¹, Yishan Ji¹, Chenyu Wang¹, Ashutosh Sarker⁵, Tao Yang¹, Xuxiao Zong¹, Md. Monoar Hossain⁶, Saleh Alfarraj⁷, Mohammad Javed Ansari⁸, Sagar Maitra^9,*, Akbar Hossain^10,*

1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
2 Pulses Research Center, Bangladesh Agricultural Research Institute (BARI), Gazipur, 1701, Bangladesh
3 Hybrid Rice Division, Bangladesh Rice Research Institute (BRRI), Gazipur, 1701, Bangladesh
4 Northwest Agriculture & Forestry University, Yangling, 712199, China
5 International Center for Agricultural Research in the Dry Areas (ICARDA), New Delhi, 110012, India
6 Wheat Breeding Division, Bangladesh Wheat and Maize Research Institute, Dinajpur, 5200, Bangladesh
7 Zoology Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
8 Department of Botany, Hindu College Moradabad (Mahatma Jyotiba Phule Rohilkhand University, Bareilly), Moradabad, 244001, India
9 Department of Agronomy and Agroforestry, Centurion University of Technology and Management, Odisha, 761211, India
10 Soil Science Division, Bangladesh Wheat and Maize Research Institute, Dinajpur, 5200, Bangladesh

* Corresponding Authors: Sagar Maitra. Email: ; Akbar Hossain. Email:

Phyton-International Journal of Experimental Botany 2024, 93(8), 1781-1804. https://doi.org/10.32604/phyton.2024.048992

Received 23 December 2023; Accepted 30 April 2024; Issue published 30 August 2024

Abstract

Grass pea (Lathyrus sativus L.) is an imperative food crop cultured in dryland agricultural ecology. It is a vital source of dietary protein to millions of populaces living in low-income countries in South-East Asia and Africa. This study highlights the improvement of genomic properties and their application in marker-trait relationships for 17 yield-related characters in 400 grass pea genotypes from China and Bangladesh. These characters were assessed via 56 polymorphic markers using general linear model (GLM) (P+G+Q) and mixed linear model (MLM) (P+G+Q+K) in the tassel software based on the linkage disequilibrium and population structure analysis. Population structure analysis showed two major groups and one admixed group in the populace. Statistically significant loci pairs of linkage disequilibrium (LD) mean value (D′) was 0.479. A total of 99 and 61 marker-trait associations in GLM and MLM models allied to the 17 traits were accepted at a 5% level of significance. Among these markers, 21 markers were associated with more than one trait; 12 marker-trait associations passed the Bonferroni correction threshold. Both models found six markers C41936, C39067, C34100, C47146, C47638, and C43047 significantly associated with days to maturity, flower color, plant height, and seed per pod were detected in the Hebei and Liaoyang location (p ≤ 0.01), and the interpretation rate (R² value) 11.2% to 43.6%. Conferring to the consequences, the association analysis methodology may operative system for quantitative, qualitative, and biochemical traits related to gene position mapping and support breeders in improving novel approaches for advancing the grass pea quality.

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Supplementary Material

Supplementary Material File

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