Agricultural Characteristics of Inbred Korean Waxy Corn Lines and Relationships

Jun Young Ha; Young Sam Go; Jae Han Son; Beom Young Son; Tae Wook Jung; Hwan Hee Bae

doi:10.7740/kjcs.2022.67.4.265

All Issue

2022 Vol.67, Issue 4 Preview Page Next Page

Original Research Article

Agricultural Characteristics of Inbred Korean Waxy Corn Lines and Relationships 국내 찰옥수수 계통의 농업형질 특성 및 연관 연구

1 December 2022. pp. 265-273

PDF XML

Abstract

Waxy corn (Zea mays L.), which contains homozygous mutant alleles for the waxy1 (wx1) gene, is widely consumed as a snack food in Asia. This study evaluated sixteen agronomic characteristics of inbred Korean waxy corn lines to aid development of high-quality waxy corn cultivars. The plant materials studied were 177 inbred waxy corn lines developed by the National Institute of Crop Science, Rural Development Administration, Republic of Korea. For the tested lines, days to tasseling and silking averaged 77.69±2.22 days (with a range of 56-97 days), and 81.12±7.56 days (66-99 days), respectively. Plant length ranged from 88 to 237 cm (averaged 164.88±22.67 cm), ear length averaged 11.75±2.52 cm (5.0-18.5 cm), and ear width averaged 2.94±0.68 cm (1.4-4.5 cm). The number of rows on each ear of corn averaged 12.22±2.22 (7-32 rows) and the kernel number averaged 24.30±4.22 (9-37 kernels) per row. The crude protein content was 12.05±1.53% (8.90-21.80%) and total starch content was 69.27±5.74% (49.5-83.9%). Principal component analysis revealed that ear width, grain length, ear length, days to tasseling, days to silking, percentage of ear setting height, and total starch are features that allow distinction between the 177 waxy inbred corn lines. Hierarchical cluster analysis identified twelve waxy inbred lines that produce tall plants and have a short silking period. These lines may improve yield among quickly growing corn varieties.

Keywords

agronomic trait

hierarchical cluster analysis

multivariate analysis

principal component analysis

waxy maize

References

Almeida, B. M., L. L. Feitoza, Â. C. A. Lopes, R. L. F. Gomes, R. C. Almeida, L. V. Martins, and V. B. Silva. 2022. Morphological diversity among Brazilian Capsicum peppers. Cienc Rural 53 : e20210559 10.1590/0103-8478cr20210559

Alvi, M. B., M. Rafique, M. S. Tariq, A. Hussain, T. Mahmood, and M. Sarwar. 2003. Character association and path coefficient analysis of grain yield and yield components maize (Zea mays L.). Pak. J. Biol. Sci. 6 : 126-138. 10.3923/pjbs.2003.136.138

Baek, S. B., B. Y. Son, J. T. Kim, H. H. Bae, Y. S. Go, and S. L. Kim. 2020. Changes and Prospects in the Development of Corn Varieties in Korea. Korean J. Breed Sci. 52 : 93-102. 10.9787/KJBS.2020.52.S.93

Barth, E., J. T. V. de Resende, K. H. Mariguele, M. D. V. de Resende, A. da Silva, and S. Ru. 2022. Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement. Sci. Rep. 12 : 11458. 10.1038/s41598-022-15688-435794228PMC9259706

Barth, E., J. T. V. Resende, A. F. P. Moreira, K. H. Mariguele, A. R. Zeist, M. B. Silva, G. C. G. Stulzer, J. G. M. Mafra, L. S. A. Gonçalves, S. R. Roberto, and K. Youssef. 2020. Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis. Agronomy (Basel) 10 : 598. 10.3390/agronomy10040598

Baute, J., D. Herman, F. Coppens, J. De Block, B. Slabbinck, M. Dell’Acqua, M. E. Pe, S. Maere, H. Nelissen, and D. Inze. 2015. Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population. Genome Biol. 16 : 168. 10.1186/s13059-015-0735-926357925PMC4566308

Bocanski, J., Z. Sreckov, and A. Nastasic. 2009. Genetic and phenotypic relationship between grain yield and components of grain yield of maize (Zea mays L.). Genetika 41 : 145-154. 10.2298/GENSR0902145B

Etheridge, R. D., G. M. Pesti, and E. H. Foster. 1998. A comparison of nitrogen values obtained utilizing the Kjeldahl nitrogen and Dumas combustion methodologies (Leco CNS 2000) on samples typical of an animal nutrition analytical laboratory. Anim. Feed Sci. Technol. 73 : 21-28. 10.1016/S0377-8401(98)00136-9

Gong, K. and L. Chen. 2013. Characterization of Carbohydrates and Their Metabolizing Enzymes Related to the Eating Quality of Postharvest Fresh Waxy Corn. J. Food Biochem. 37 : 619-627. 10.1111/jfbc.12015

Lee, I. S. and J. O. Park. 2003. Assessment and Classification of Korean Indigenous Corn Lines by Application of Principal Component Analysis. Kor. J. Life Sci. 13 : 343-348. 10.5352/JLS.2003.13.3.343

Lee, J. S., H. H. Bae, J. T. Kim, B. Y. Son, S. B. Baek, S. L. Kim, Y. S. Go, G. Yi, and S. H. Shin. 2020. ‘Hwanggeummatchal’, a Single Cross Hybrid Waxy Corn with High Carotenoid Content and Good Eating Quality. Korean J. Breed Sci. 52 : 467-472. 10.9787/KJBS.2020.52.4.467

Nelson, O. and D. Pan. 1995. Starch synthesis in maize endosperms. Annu. Rev. Plant Physiol. Plant Mol. Biol. 46 : 475-496. 10.1146/annurev.pp.46.060195.002355

Pang, Z., G. Zhou, J. Ewald, L. Chang, O. Hacariz, N. Basu, and J. Xia. 2022. Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data. Nat. Protoc. 17 : 1735-1761. 10.1038/s41596-022-00710-w35715522

Park, S. U., K. Y. Park, S. W. Cha, Y. H. Son, R. K. Park, S. H. Song, J. K. Hong, and U. H. Kim. 1992. A new early maturing and high quality single cross waxy corn hybrid “Chalok 1”. Research Reports of the Rural Development Administration, Upland & Industrial Crops 34 : 61-64.

Rural Development Administration (RDA). 2012. Agricultural science technology standards for investigation of research. pp. 366-385.

Ryu, S. H., J. Y. Park, N. K. Huh, and H. K. Min. 2001. Relationship between genentic distance and hybrid performance of black waxy corn (Zea mays L.). Korean J. Breed Sci. 33 : 95-103.

Simla, S., K. Lertrat, and B. Suriharn. 2010. Carbohydrate Characters of Six Vegetable Waxy Corn varieties as Affected by Harvest Time and Storage Duration. Asian J. Plant Sci. 9 : 463-470. 10.3923/ajps.2010.463.470

Wu, X., W. Long, D. Chen, G. Zhou, J. Du, S. Wu, and Q. Cai. 2022. Waxy allele diversity in waxy maize landraces of Yunnan Province, China. J. Integr. Ag. 21 : 578-585. 10.1016/S2095-3119(20)63471-2

Yu, J. K. and Y. S. Moon. 2021. Corn Starch: Quality and Quantity Improvement for Industrial Uses. Plants 11 : 92. 10.3390/plants1101009235009095PMC8747220

Information

Publisher :The Korean Society of Crop Science
Publisher(Ko) :한국작물학회
Journal Title :The Korean Journal of Crop Science
Journal Title(Ko) :한국작물학회지
Volume : 67
No :4
Pages :265-273
Received Date : 2022-10-19
Revised Date : 2022-11-07
Accepted Date : 2022-11-10
DOI :https://doi.org/10.7740/kjcs.2022.67.4.265

The Korean Journal of Crop Science ISSN:0252-9777(Print) 2287-8432(Online) 한국작물학회지

All Issue