Genetic Diversity and Population Structure of Maize (Zea mays L.) Inbred Lines in Association with Phenotypic and Grain Qualitative Traits Using SSR Genotyping

Author:

Patel Rumit1,Memon Juned2,Kumar Sushil1,Patel Dipak A.1,Sakure Amar A.1,Patel Manish B.3,Das Arna2,Karjagi Chikkappa G.4,Patel Swati1,Patel Ujjaval5,Roychowdhury Rajib6ORCID

Affiliation:

1. Department of Agricultural Biotechnology, Anand Agricultural University, Anand 388110, India

2. Department of Genetics and Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand 388110, India

3. Main Maize Research Station, Anand Agricultural University, Godhra 389001, India

4. ICAR—Indian Institute of Maize Research, PAU Campus, Ludhiana 141004, India

5. Department of Genetics and Plant Breeding, N. M. College of Agriculture, Navsari Agricultural University, Navsari 396450, India

6. Department of Plant Pathology and Weed Research, Institute of Plant Protection, Agricultural Research Organization (ARO)—Volcani Center, Rishon Lezion 7505101, Israel

Abstract

Maize (Zea mays L.) is an important cereal and is affected by climate change. Therefore, the production of climate-smart maize is urgently needed by preserving diverse genetic backgrounds through the exploration of their genetic diversity. To achieve this, 96 maize inbred lines were used to screen for phenotypic yield-associated traits and grain quality parameters. These traits were studied across two different environments (Anand and Godhra) and polymorphic simple sequence repeat (SSR) markers were employed to investigate the genetic diversity, population structure, and trait-linked association. Genotype–environment interaction (GEI) reveals that most of the phenotypic traits were governed by the genotype itself across the environments, except for plant and ear height, which largely interact with the environment. The genotypic correlation was found to be positive and significant among protein, lysine and tryptophan content. Similarly, yield-attributing traits like ear girth, kernel rows ear−1, kernels row−1 and number of kernels ear−1 were strongly correlated to each other. Pair-wise genetic distance ranged from 0.0983 (1820194/T1 and 1820192/4-20) to 0.7377 (IGI-1101 and 1820168/T1). The SSRs can discriminate the maize population into three distinct groups and shortlisted two genotypes (IGI-1101 and 1820168/T1) as highly diverse lines. Out of the studied 136 SSRs, 61 were polymorphic to amplify a total of 131 alleles (2–3 per loci) with 0.46 average gene diversity. The Polymorphism Information Content (PIC) ranged from 0.24 (umc1578) to 0.58 (umc2252). Similarly, population structure analysis revealed three distinct groups with 19.79% admixture among the genotypes. Genome-wide scanning through a mixed linear model identifies the stable association of the markers umc2038, umc2050 and umc2296 with protein, umc2296 and umc2252 with tryptophan, and umc1535 and umc1303 with total soluble sugar. The obtained maize lines and SSRs can be utilized in future maize breeding programs in relation to other trait characterizations, developments, and subsequent molecular breeding performances for trait introgression into elite genotypes.

Funder

Plants-MDPI

Publisher

MDPI AG

Reference49 articles.

1. Diversity in Global Maize Germplasm: Characterization and Utilization;Prasanna;J. Biosci.,2012

2. Slafer, G.A., and Otegui, M.E. (2000). Physiological Bases for Maize Improvement, CRC Press.

3. Roychowdhury, R., Taoutaou, A., Hakeem, K.R., Gawwad, M.R.A., and Tah, J. (2014). Crop Improvement in the Era of Climate Change, IK International Publishing House.

4. Beat the Stress: Breeding for Climate Resilience in Maize for the Tropical Rainfed Environments;Prasanna;Theor. Appl. Genet.,2021

5. Characterizing and Improving Traits for Resilient Crop Development;Roychowdhury;Front. Plant Sci.,2023

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