Exploring Maize (Zea mays L.) Landraces: Characterizationfor Yield and Quality Traits to Foster Genetic Improvement
Characterization of Maize Landraces for Yield and Quality Traits
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Authors
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Heena Sharma
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Surinder Sandhu
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Gagandeep Kaur
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Bhavyasree R K
Keywords:
Farmers' varieties, Maize landraces, Nutritional traits, Yield traitsAbstract
Maize (Zea mays L.) landraces, meticulously selected and preserved by farmers over generations, represent invaluable reservoirs of
genetic diversity, providing enhanced adaptability, superior quality traits, and resilience against various stresses. This study harnessed
the genetic potential of these traditional resources by collecting and evaluating 27 landraces, farmers' varieties, and cultivars from
diverse agro-climatic regions. Key nutritional parameters, including protein, starch, and micronutrient content, as well as critical yieldrelated traits, were evaluated. The analysis revealed significant variation in grain colour, size, and nutritional composition, particularly for methionine, tryptophan, protein, starch, and β-carotene. Notable lines included HP Selection Kangra, Yellow op2 Composite, White op2 Composite, Kailer Solan, and Local 3, which exhibited superior levels of methionine (0.17%), tryptophan (0.052%), protein (11.95%), starch (69.62%), and β-carotene (6.24 ppm), respectively. Grain yield variability ranged from 0.42 to 4.78 t/ha, with significant differences observed in kernels per row (20–36) and thousand-kernel weight (139.80–359.83 g). Outstanding performers included JC 1455-1 for the highest grain yield (4.78 t/ha), Nadaun Selection for thousand-kernel weight (359.83 g), and JC 4 for kernels per row (36). These findings highlight the critical role of maize landraces as unique genetic resources for enhancing genetic diversity and trait improvement. The promising lines identified in this study offer a foundation for future genetic enhancement efforts, focusing on broadening the genetic base of maize and developing nutritionally enriched, high-yielding cultivars suited to diverse agro-ecologies.
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References
Abou-Deif MH, BB Mekki, EA Mostafa, RM Esmail and SA Khattab (2012) The genetic relationship between proteins, oil and grain yield in some maize hybrids. World J. Agric. Sci. 8(1): 43- 50.
Anđelković V, D Ristić, V Babić, Z Dumanović and N Kravić (2017) Maize landraces as a source of adaptation to climatic change. Ratar. Povrt. 53(1): 24-29.
AOAC (1975) Official Methods of Analysis of the Association of th Official Agricultural Chemists. 10 edn, Washington DC, pp 744-745.
Beulah G, S Marker and D Rajasekhar (2018) Assessment of quantitative genetic variability and character association in maize (Zea mays L.). J. Pharmacogn. Phytochem. 7(1): 2813- 2816.
Clark RM, E Linton, J Messing and JF Doebley (2004) Pattern of diversity in the genomic region near the maize domestication gene tb1. Proc. Natl. Acad. Sci. USA 101(3): 700-707.
Clegg KM (1956) The application of the anthrone reagent to the estimation of starch in cereals. J. Sci. Food Agric. 7(1): 40-44.
Cömertpay G, FS Baloch and H Erdem (2016) Genetic variation for biofortifying the maize grain. Turk. J. Agric.-Food Sci. Technol. 4(8): 684-691.
Dado RG (1999) Nutritional benefits of speciality corn grain hybrids in dairy diets. J. Anim. Sci. 77(suppl_2): 197-207.
Erdal S, R Cengiz and A Ozturk (2019) Breeding doubled haploid maize inbred lines for methionine and lysine amino acid composition. Maydica64(2).
Erenstein O, M Jaleta, K Sonder, K Mottaleb and BM Prasanna (2022) Global maize production, consumption and trade; trends and R&D implications. Food Secur.14(5): 1295-1319.
Fontaine J, B Schirmer and J Hörr (2002) Near-infrared reflectance spectroscopy (NIRS) enables the fast and accurate prediction of essential amino acid contents; results for wheat, barley, corn, triticale, wheat bran/middlings, rice bran, and sorghum. J. Agric. Food Chem. 50(14): 3902-3911.
Goyanka J, MC Yadav, J Kumari, S Tiwari and A Kumar (2021) Phenotypic characterization reveals high extent of genetic variation in maize (Zea mays L.) landraces of North-Eastern and North-Western Himalayan regions of India. Indian J. Plant Genet. Resour. 34(03): 389-403.
Hernandez H and LS Bates (1969) A Modified Method for Rapid th Tryptophan Analysis of Maize. Research Bulletin, 19 edn, International Maize and Wheat Improvement Centre, Mexico, pp 1-42.
Holding DR (2014) Recent advances in the study of prolamin storage protein organization and function. Front. Plant Sci. 5: 276.
Horn MJ, DB Jones and AE Blum (1946) Colorimetric determination of methionine in proteins and foods. J. Biol. Chem. 166(1): 313-320.
Kahrıman F, S Akbulut, G Düz, U Songur and CÖ Egesel (2020) Screening of genetic variability in Turkish maize landraces for protein and starch related traits. Maydica65: 9.
Kumari J, AS Kumar, TP Singh, KC Bhatt, AK Mishra, DP Semwal, RK Sharma and JC Rana (2017) Collection, evaluation and phenotypic diversity assessment of maize (Zea mays) germplasm from North Eastern Himalayan region. Indian J. Agric. Sci. 87(6): 727-733.
Langyan S, ZA Dar, DP Chaudhary, JC Shekhar, S Herlambang, H El Enshasy, RZ Sayyed and S Rakshit (2021) Analysis of nutritional quality attributes and their inter-relationship in maize inbred lines for sustainable livelihood. Sustainability 13(11): 6137.
Lawton JW and CM Wilson (1987) Proteins of the kernel. In: LA Johnson and PJ White (eds) Corn Chemistry and Technology. American Association of Cereal Chemists, St. Paul, pp 313- 354.
Miti F (2007) Breeding investigations of maize (Zea mays L.) genotypes for tolerance to low nitrogen and drought in Zambia. PhD Thesis, University of Kwa-Zulu Natal, Pietermaritzburg, South Africa.
Nankar A, L Grant, P Scott and RC Pratt (2016) Agronomic and kernel compositional traits of blue maize landraces from the southwestern United States. Crop Sci. 56(5): 2663-2674.
Nuss ET and SA Tanumihardjo (2010) Maize; a paramount staple crop in the context of global nutrition. Rev. Food Sci. Food Saf. 9(4): 417-436.
Prasanna BM, N Palacios-Rojas, F Hossain, V Muthusamy, A Menkir, T Dhliwayo, T Ndhlela, F San Vicente, SK Nair, BS Vivek and X Zhang (2020) Molecular breeding for nutritionally enriched maize; status and prospects. Front. Genet. 10: 1392.
Rebourg C, B Gouesnard and A Charcosset (2001) Large scale molecular analysis of traditional European maize populations; relationships with morphological variation. Heredity86(5): 574-587.
Rodriguez-Amaya DB and M Kimura (2004) Harvest Plus Handbook for Carotenoid Analysis. International Food Policy Research Institute (IFPRI), Washington, DC.
Scott MP and M Blanco (2009) Evaluation of the grain methionine, lysine and tryptophan contents of maize (Zea mays L.) germplasm in the germplasm enhancement of maize project. Plant Genet. Resour.7(3): 237-243.
Selvi VM, A Nirmalakumari and A Subramanian (2014) Genetics and interrelationships of yield traits for enhancing productivity of little millet. Electron. J. Plant Breed. 5(1): 82-86.
Sharma H, S Sandhu, N Yousuf, HK Oberoi, KS Karnatam, R Bhavyasree, Y Vikal and V Kumar (2024) Analysis of genetic variability for nutritional quality traits among maize inbreds adapted to Punjab; a North-Western province of India. Cereal Chem. 101(6): 1283-1293.
Shewry PR (2007) Improving the protein content and composition of cereal grain. J. Cereal Sci. 46(3): 239-250.
Tahir S, S Zafar, MY Ashraf, S Perveen and S Mahmood (2023) Evaluation of drought tolerance in maize (Zea mays L.) using physiological indices. Pak. J. Bot. 55(3): 843-849.
Thakur N, J Prakash, K Thakur, JK Sharma, R Kumari, M Rana and S Lata (2017) Genetic diversity and structure of maize accessions of North Western Himalayas based on morphological and molecular markers. Proc. Natl. Acad. Sci. India Sect. B Biol. Sci. 87: 1385-1398.
Twumasi P, AY Tetteh, KB Adade, S Asare and RA Akromah (2001) Morphological diversity and relationships among the IPGRI maize (Zea mays L.) landraces held in IITA. In: C Rebourg, B Gouesnard and A Charcosset (eds) Large Scale Molecular Analysis of Traditional European Maize Populations: Relationships with Morphological Variation. Heredity 86(5): 574-587.
Ünlü E, E Mutlu, M Polat, S Çeri and F Kahrıman (2018) Diversity among Turkish maize landraces based on protein band analyses and kernel biochemical properties. J. Crop Improv. 32(2): 175-187.
Watson D (2019) Adaptation to climate change; climate adaptive breeding of maize, wheat and rice. In: Sustainable Solutions for Food Security: Combating Climate Change by Adaptation, pp 67-89.
Welch RM and RD Graham (2002) Breeding crops for enhanced micronutrient content. In: Food Security in Nutrient-Stressed Environments: Exploiting Plants' Genetic Capabilities, pp 267- 276.
Zhang X, H Zhang, L Li, H Lan, Z Ren, D Liu, L Wu, H Liu, J Jaqueth, B Li and G Pan (2016) Characterizing the population structure and genetic diversity of maize breeding germplasm in Southwest China using genome-wide SNP markers. BMC Genomics 17: 1-6.
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