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

引用

PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY 2024年第8期93卷 1781-1804页

作者： Rahman, md. Mosiur Quddus, md. Ruhul Xu, Quanle hossain, Muhammad Malek Liu, Rong Li, Mengwei Yan, Xin Li, Guan Ji, Yishan Wang, Chenyu Sarker, Ashutosh Yang, Tao Zong, Xuxiao hossain, md. monoar Alfarraj, Saleh Ansari, Mohammad Javed Maitra, Sagar hossain, Akbar Chinese Acad Agr Sci CAAS Inst Crop Sci Beijing 100081 Peoples R China Bangladesh Agr Res Inst BARI Pulses Res Ctr Gazipur 1701 Bangladesh Bangladesh Rice Res Inst BRRI Hybrid Rice Div Gazipur 1701 Bangladesh Northwest Agr & Forestry Univ Yangling 712199 Peoples R China Int Ctr Agr Res Dry Areas ICARDA New Delhi 110012 India Bangladesh Wheat & Maize Res Inst Wheat Breeding Div Dinajpur 5200 Bangladesh King Saud Univ Coll Sci Zool Dept Riyadh 11451 Saudi Arabia Mahatma Jyotiba Phule Rohilkhand Univ Hindu Coll Moradabad Dept Bot Moradabad 244001 India Centurion Univ Technol & Management Dept Agron & Agroforestry R Sitapur 761211 Odisha India Bangladesh Wheat & Maize Res Inst Soil Sci Div Dinajpur 5200 Bangladesh

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.

关键词： Grass pea dryland agriculture genome-wide association yield contributing traits SSR markers LATHYRUS-SATIVUS L. QUALITY TRAITS MORPHOLOGICAL TRAITS GENETIC-VARIABILITY ODAP ENVIRONMENT DIVERSITY SOFTWARE PROTEIN

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