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Mazkirat S, Baitarakova K, Kudaybergenov M, Babissekova D, Bastaubayeva S, Bulatova K, Shavrukov Y. SSR Genotyping and Marker-Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea ( Cicer arietinum L.). Biomolecules 2023; 13:1722. [PMID: 38136593 PMCID: PMC10741797 DOI: 10.3390/biom13121722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/24/2023] Open
Abstract
Genetic diversity and marker-trait association with yield-related components were assessed in 39 chickpea accessions from a germplasm collection with either spring or autumn-sown seeds in South-Eastern Kazakhstan. Chickpea accessions originated from Azerbaijan, Germany, Kazakhstan, Moldova, Russia, Türkiye, Ukraine, Syria, and the International Center for Agricultural Research in the Dry Areas (ICARDA). Eleven SSR markers were used for molecular genotyping. Yield and yield components were evaluated in nine traits in experiments with spring and autumn seed sowing. The number of alleles of polymorphic markers varied from 2 to 11. The greatest polymorphism was found in the studied chickpea genotypes using SSR marker TA22 (11 alleles), while NCPGR6 and NCPGR12 markers were monomorphic. In the studied chickpea accessions, unique alleles of the SSR loci TA14, TA46, TA76s, and TA142 were found that were not previously described by other authors. An analysis of correlation relationships between yield-related traits in chickpea revealed the dependence of yield on plant height, branching, and the setting of a large number of beans. These traits showed maximal values in experiments with chickpea plants from autumn seed sowing. An analysis of the relationship between the SSR markers applied and morphological yield-related traits revealed several informative markers associated with important traits, such as plant height, height to first pod, number of branches, number of productive nodes, number of pods per plant, hundred seed weight, seed weight per plant, and seed yield.
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Affiliation(s)
- Shynar Mazkirat
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Kuralay Baitarakova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Mukhtar Kudaybergenov
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Dilyara Babissekova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Sholpan Bastaubayeva
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Kulpash Bulatova
- Kazakh Research Institute of Agriculture and Plant Growing, Almaty District, Almalybak 040909, Kazakhstan; (K.B.); (M.K.); (D.B.); (S.B.); (K.B.)
| | - Yuri Shavrukov
- College of Science and Engineering, Biological Sciences, Flinders University, Adelaide, SA 5042, Australia
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D DD, Padhi SR, Gore PG, Tripathi K, Katral A, Chandora R, Abhishek GJ, Kondal V, Singh R, Bharadwaj R, Bhatt KC, Rana JC, Riar A. Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis. Foods 2023; 12:4159. [PMID: 38002217 PMCID: PMC10670495 DOI: 10.3390/foods12224159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/30/2023] [Accepted: 11/11/2023] [Indexed: 11/26/2023] Open
Abstract
The adzuki bean (Vigna angularis), known for its rich nutritional composition, holds significant promise in addressing food and nutritional security, particularly for low socioeconomic classes and the predominantly vegetarian and vegan populations worldwide. In this study, we assessed a total of 100 diverse adzuki bean accessions, analyzing essential nutritional compounds using AOAC's official analysis procedures and other widely accepted standard techniques. Our analysis of variance revealed significant genotype variations for all the traits studied. The variability range among different traits was as follows: moisture: 7.5-13.3 g/100 g, ash: 1.8-4.2 g/100 g, protein: 18.0-23.9 g/100 g, starch: 31.0-43.9 g/100 g, total soluble sugar: 3.0-8.2 g/100 g, phytic acid: 0.65-1.43 g/100 g, phenol: 0.01-0.59 g/100 g, antioxidant: 11.4-19.7 mg/100 g GAE. Noteworthy accessions included IC341955 and EC15256, exhibiting very high protein content, while IC341957 and IC341955 showed increased antioxidant activity. To understand intertrait relationships, we computed correlation coefficients between the traits. Principal Component Analysis (PCA) revealed that the first four principal components contributed to 63.6% of the variation. Further, hierarchical cluster analysis (HCA) identified nutri-dense accessions, such as IC360533, characterized by high ash (>4.2 g/100 g) and protein (>23.4 g/100 g) content and low phytic acid (0.652 g/100 g). These promising compositions provide practical support for the development of high-value food and feed varieties using effective breeding strategies, ultimately contributing to improved global food security.
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Affiliation(s)
- Deepika D D
- The Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, India
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Siddhant Ranjan Padhi
- The Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, India
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Padmavati G Gore
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Kuldeep Tripathi
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Ashvinkumar Katral
- The Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, India
| | - Rahul Chandora
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - G J Abhishek
- The Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, India
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Vishal Kondal
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Rakesh Singh
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Rakesh Bharadwaj
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
| | - Kailash C Bhatt
- ICAR-National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, India
- Division of Plant Exploration and Germplasm Collection, ICAR-National Bureau of Plant Genetic Resources, Pusa, New Delhi 110012, India
| | - Jai Chand Rana
- The Alliance of Bioversity International & CIAT-India Office, New Delhi 110012, India
| | - Amritbir Riar
- Department of International Cooperation, Research Institute of Organic Agriculture FiBL, 5070 Frick, Switzerland
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