Genome-Wide Analysis for Yield-Related Agronomic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Genotypes Using SSR Markers
文献类型： 外文期刊
作者： Rahman, Md. Mosiur 1 ; Quddus, Md. Ruhul 3 ; Xu, Quanle 4 ; Hossain, Muhammad Malek 2 ; Liu, Rong 1 ; Li, Mengwei 1 ; Yan, Xin 1 ; Li, Guan 1 ; Ji, Yishan 1 ; Wang, Chenyu 1 ; Sarker, Ashutosh 5 ; Yang, Tao 1 ; Zong, Xuxiao 1 ; Hossain, Md. Monoar 6 ; Alfarraj, Saleh 7 ; Ansari, Mohammad Javed 8 ; Maitra, Sagar 9 ; Hossain, Akbar 10 ;
作者机构： 1.Chinese Acad Agr Sci CAAS, Inst Crop Sci, Beijing 100081, Peoples R China
2.Bangladesh Agr Res Inst BARI, Pulses Res Ctr, Gazipur 1701, Bangladesh
3.Bangladesh Rice Res Inst BRRI, Hybrid Rice Div, Gazipur 1701, Bangladesh
4.Northwest Agr & Forestry Univ, Yangling 712199, Peoples R China
5.Int Ctr Agr Res Dry Areas ICARDA, New Delhi 110012, India
6.Bangladesh Wheat & Maize Res Inst, Wheat Breeding Div, Dinajpur 5200, Bangladesh
7.King Saud Univ, Coll Sci, Zool Dept, Riyadh 11451, Saudi Arabia
8.Mahatma Jyotiba Phule Rohilkhand Univ, Hindu Coll Moradabad, Dept Bot, Moradabad 244001, India
9.Centurion Univ Technol & Management, Dept Agron & Agroforestry, R Sitapur 761211, Odisha, India
10.Bangladesh Wheat & Maize Res Inst, Soil Sci Div, Dinajpur 5200, Bangladesh
关键词： Grass pea; dryland agriculture; genome-wide association; yield contributing traits; SSR markers
期刊名称：PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY （ 影响因子：1.3； 五年影响因子：1.2 ）
ISSN： 0031-9457
年卷期： 2024 年
页码：
收录情况： SCI
摘要： 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 signi fi cant 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 signi fi cance. 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 signi fi cantly associated with days to maturity, fl ower color, plant height, and seed per pod were detected in the Hebei and Liaoyang location ( p <= 0.01), and the interpretation rate (R 2 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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