Inheritance of factors and validation of loci linked to the kernel row number in tropical field corn (Zea mays L.)

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Sahana Police Patil
RN Gadag
Ganapati Mukri
Chandu Singh
Jayant S. Bhat
Navin C. Gupta
Jyoti Kumari
Kumari Shilpa
Chandra Prabha
K.V. Gowtham

Abstract

Sustainable feeding of a growing population with nutritional security in the era of climate change is the leading challenge facing a
developing nation. Field corn is one of those crops that can help achieve this goal due to its high productivity and wide adaptation. There is scope for further improving field corn productivity by targeting component traits such as kernel row number (KRN). In the present investigation, the kernel row number displayed significant variation as well asa positive correlation with yield and yield component traits under the study. The inheritance of the KRN trait was analyzed using the Wright-Castle estimator and chi-square test in two sets of F2 populations (AH4499 and AH4500) and parental lines (AI 505, AI 541 and AI 542). The analyses by the Wright-Castle estimator revealed that KRN is governed by two effective factors (1.92@ 2) with four contributing alleles in the AH-4499 population and four effective factors (3.93 @ 4) with eight contributing alleles in the AH-4500 population. Further analysis by East’s hypothesis (frequency of recessivehomozygote in F2=1/4n) produced similar results and the Chi-square test (0.01 level of significance) confirmed the non-significant difference between expected and observed recessive frequency in F2sof both the populations. This suggested that KRN is governed at least four genes with eight contributing alleles. In both the F2 populations, F1 value was non-significantly close to the mid-parent value suggesting the additive nature of KRN. Further, Bulked Segregant Analysis was carried out using AH-4500-F2 population having 231 individuals to validate linked loci. Out of 58 flanking SSR markers previously reported for the KRN trait, only nine markers were polymorphic for this population. These linked markers identified two putative QTLs for KRN i.e., qKRN2.1 and qKRN2.2 on chromosome 2 through inclusive composite interval mapping. The genetic distance with closely associated markers, bnlg 1017 was 9 cM for qKRN2.1 with a LOD score of 10.24 and a Proportion of Variance Explained (PVE%) of 16.86. The marker-trait association was further validated using F2:3 population and it was found that the marker bnlg 1017 showed a significant association with the KRN trait. Thus, the marker bnlg 1017 could be used to identify high KRN genotypes for use in breeding programs to enhance the productivity of tropical field corn.

Article Details

How to Cite
Patil, S. P. ., Gadag, R. ., Mukri, G. ., Singh, C. ., Bhat, J. S. ., Gupta, N. C. ., Kumari, J., Shilpa, K. ., Prabha, C. ., & Gowtham, K. . (2023). Inheritance of factors and validation of loci linked to the kernel row number in tropical field corn (Zea mays L.). INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 83(04), 490–498. https://doi.org/10.31742/ISGPB.86.4.5
Section
Research Article

References

Bernardo R. 2002. Breeding for quantitative traits in plants. Woodbury: Stemma Press. 1: p369

Bommert P, Lunde C, Nardmann J, Vollbrecht E, Running M, Jackson D, Hake S, Werr W. 2005, thick tassel dwarf1 encodes a putative maize ortholog of the Arabidopsis CLAVATA1 leucine-rich repeat receptorlike kinase. Development, 132: 1235–45.

Bommert P., Nagasawa N.S. and Jackson D., 2013a. Quantitative variation in maize kernel row number is controlled by the FASCIATED EAR2 locus. Nat. Genet., 45(3): 334-337.

Bommert P., Je, B.I., Goldshmidt A. and Jackson D., 2013b. The maize Gα gene COMPACT PLANT2 functions in CLAVATA signalling to control shoot meristem size. Nature, 502(7472): 555-558.

Breese E.L. and Haywards M.O. 1972. The genetic basis of present breeding methods in forage crops. Euphytica, 21: 324-336.

Burton G.W. 1951. Quantitative inheritance in pearl millet (Pennisetum glaucum) Agron. J., 43: 409–417.

Cai L., Li K., Yang X. and Li J. 2014. Identification of large-effect QTL for kernel row number has potential for maize yield improvement. Molecular Breed., 34(3): 1087-1096.

Chuck G., Cigan A.M., Saeteurn K. and Hake S. 2007. The heterochronic maize mutant Corngrass1 results from overexpression of a tandem microRNA. Nat. Genet., 39(4): 544-549.

Chuck G., Whipple C., Jackson D. and Hake S. 2010. The maize SBP-box transcription factor encoded by tasselsheath4 regulates bract development and the establishment of meristem boundaries. Development, 137: 1243–1250.

Chuck G.S., Brown P.J., Meeley R. and Hake S. 2014. Maize SBP-box transcription factors unbranched2 and unbranched3 affect yield traits by regulating the rate of lateral primordia initiation. Proc Nat. Acad. Sci. USA, 111(52): 18775–18780.

Dhillon B.S. and Singh J. 1977. Estimation and inheritance of stability parameters of grain yield in maize. The J. Agri. Sci., 88(2): 257-265.

East E.M. 1910. A mendelian interpretation of variation that is apparently continuous. The Am. Nat., 44(518): 65-82.

Galinat, W.C. 1983. The origin of maize as shown by key morphological traits of its ancestor, teosinte. Maydica, 28(2): 121-138.

Kumar V.C., Gadag R.N., Mukri G., Bhat J.S., Singh C., Kumari J., Singh R.K. and Gupta N.C. 2021. Molecular characterization and multi-environmental evaluation of field corn (Zea mays L.) inbreds for kernel traits. Indian J. Agri. Sci., 91(11): 1622-1626.

Li H., Ye G. and Wang, J. 2007. A modified algorithm for the improvement of composite interval mapping. Genetics, 175(1): 361-374.

Liu L., Du Y., Shen X., Li M., Sun W., Huang J. and Zhang Z. 2015. KRN4 controls quantitative variation in maize kernel row number. PLoS gen., 11(11), e1005670.

Lule D., Tesfaye K., Fetene M. and De Villiers S. 2012. Inheritance and association of quantitative traits in finger millet (Eleusine coracana Subsp. Coracana) landraces collected from eastern and south eastern Africa. International J. Genet., 2(2):12-21.

Mangelsdorf P.C. 1961. Introgression in maize. Euphytica, 38:157-168.

McSteen P. 2006. Branching out: the ramosa pathway and the evolution of grass inflorescence morphology. The Plant Cell, 18(3): 518-522.

Michelmore R.W., Paran I. and Kesseli R.V. 1991. Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations. Proceedings Nati. Aca. sci., 88(21): 9828-9832.

Mukri G., Shilpa K., Gadag R.N., Bhat J.S., Singh C., Gupta N.C., Prabha C., Patil S.P. 2023. Designed and validated novel allele-specific primer to differentiate Kernel Row Number (KRN) in tropical field corn. PLoS ONE, 18(4): e0284277

Nzuve F., Githiri, S., Mukunya, D.M. and Gethi, J., 2014. Genetic variability and correlation studies of grain yield and related agronomic traits in maize. J. Agric. Sci., 6(9), p166.

Pearson K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. The London, Edinburgh, and Dublin Philosophical Magazine and J. Sci., 50(302): 157-175.

Ross A.J., Hallauer A.R. and Lee M. 2006. Genetic analysis of traits correlated with maize ear length. Maydica, 51: 301-313.

Saghai-Maroof M.A., Soliman K.M., Jorgensen R.A. and Allard R.W. 1984. Ribosomal DNA spacer length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proc. Nat. Aca. Sci. USA., 81: 8014–18

Somssich M., Je B.I., Simon R. and Jackson D. 2016. CLAVATA-WUSCHEL signaling in the shoot meristem. Development, 143(18): 3238-3248.

Taguchi-shiobara F. 2001. The fascinated ear2 gene encodes a leucine-rich repeat receptor-like protein that regulates shoot meristem proliferation in maize. Gene Dev., 15: 2755–2766

Toledo F.H.R.B., Ramalho M.A.P., Abreu G.B. and de Souza J.C. 2011. Inheritance of kernel row number, a multicategorical threshold trait of maize ears. Embrapa Cocais-Artigo em periódico indexado (ALICE). Genet. Mol. Res., 10(3): 2133-2139.

Weatherwax P. 1935. The phylogeny of Zea mays. The Ame. Mid. Nat. J., 16: 1-71.

White O.E. 1948. Fasciation. The Bot. Revi., 14(48): 319-358.

Wricke G and Weber W.E., (eds) 1986. Quantitative genetics and selection in plant breeding. (Berlin: de Gruyter), 257-280.

Wright S. 1968. Evolution and the Genetics of Populations. I. Genetic and Biometric Foundations 1. Univ. Chicago Press, Chicago.

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