Chlorophyll content and leaf area correlated with corn (Zea mays) yield components in F1 hybrids


413 / 574

Authors

  • BNAR SARDAR MUSTAFA College of Agricultural Engineering Sciences, Salahaddin University, Erbil, Iraq image/svg+xml
  • NAMAM BAHRAM ISMAEL College of Agricultural Engineering Sciences, Salahaddin University, Erbil, Iraq image/svg+xml
  • NEYAZ RASHID MUSTAFA Khabat Technical Institute, Erbil Polytechnic University, Erbil, Iraq
  • SAKAR ASAAD KAKARASH College of Agricultural Engineering Sciences, Salahaddin University, Erbil, Iraq image/svg+xml
  • SEBAR DLAWAR ABDULAZEEZ College of Agricultural Engineering Sciences, Salahaddin University, Erbil, Iraq image/svg+xml

https://doi.org/10.56093/ijas.v94i4.140666

Keywords:

Corn, Chlorophyll content, Correlation, F1 hybrids, Leaf area, Regression analysis

Abstract

Chlorophyll content and leaf area are important biochemical and biophysical regulators of water, energy and carbon exchange during photosynthesis. The present study was carried out during 2020 (autumn) and 2021 (spring) at the agronomy experimental station, College of Agricultural Engineering Science, Salahaddin University, Erbil, Iraq to identify the relationship of chlorophyll and leaf area with yield and yield-related characteristics among 8 introduced corn (Zea mays L.) F1 hybrids. Results demonstrated that the 8 hybrids were significantly different from each other for the number of kernels/row, number of leaves/ear, chlorophyll content and leaf area. Hybrid-by-year interaction was significant for ear yield, ear length, ear diameter, number of rows/ear, number of kernels/row and number of leaves/ear. No relationships phenotypically and genetically were found among chlorophyll with yield and yield-related traits in both the years. However, phenotypic and genotypic correlations were significant between leaf area and yield contributing traits in autumn 2020. Short vectors or obtuse angles by biplot analysis showed the same direction for correlation analysis. In conclusion, more information in future plant breeding programmes at phenotypic and DNA levels are required to represent the relationship between chlorophyll content with yield and yield-related traits. However, different correlations between leaf areas in the two growing years might be owing to the fluctuated local environmental factors during the plant growth period and/or no adaptation of new hybrids to the local environments.

Downloads

Download data is not yet available.

References

Al-Hadidi K H K. 2007. ‘Effect of planting date and distance between lines on yield and its components of two maize varieties’. MSc. Thesis, College of Agriculture, Mosul University, Iraq.

Al-Kharbouli K A A. 2020. Climate thermal requirements for grain crops and their suitability in Iraq. AL-ADAB Journal 133 Supplement.

Bencze G. 2019. Examination of yield, leaf area, and relative chlorophyll content, in monoculture long-term experiment of maize in 2016–2018. Research Journal of Agricultural Science 51(2): 174–81.

Datt B. 1999. A new reflectance index for remote sensing of chlorophyll content in higher plants: Tests using eucalyptus leaves. Journal of Plant Physiology 154: 30–36.

Dwyer L M and Stewart D W. 1986. Leaf area development in field grown maize. Agronomy Journal 78: 334–43.

Eszter M. 2015. Complex evaluation of yield leaf area index and relative chlorophyll content development of maize hybrids of different genotypes. Nalele Universitaţii din Oradea, Fascicula Protecţia Mediului 25: 43–48.

Gitelson A A, Keydan G P and Merzlyak M N. 2006. Three- band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophysical Research Letters 33: 1–5.

Houborg R, Matthew M, Alessandro C, Feng G, Mitchell S and Anatoly G. 2015. Joint leaf chlorophyll content and leaf area index retrieval from landsat data using a regularized model inversion system (REGFLEC). Remote Sensing of Environment 159: 203–21.

Johnson G R. 1974. Analysis of the genetic relationships between several yield components maize and leaf area at specific leaf positions. Crop Science 14(4): 559–61.

Lambert R J, Brian D M and Rita H M. 2014. Effect of leaf area on maize productivity. Maydica 59: 58–64.

Li M, Fu Q, Singh V P, Ji Y, Liu D, Zhang C and Li T. 2019. An optimal modelling approach for managing agricultural water-energy-food nexus under uncertainty. Science of the Total Environment 651: 1416–434.

Lykhovyd P V, Viktor O U, Sergiy O L, Nataliia M L, Oleksandr H Z, Ivan M M and Nataliia O D. 2019. Leaf area index of sweet corn (Zea mays ssp. saccharata L.) crops depending on cultivation technology in the drip-irrigated conditions of the south of Ukraine. Modern Phytomorphology 13: 1–4.

Montgomery E G. 1911. Correlation studies in corn. Nebraska Agricultural Experiment Station Annual Report 24: 108–59.

Mustafa N R. 2021. ‘Diversity, performance and selection of tropical sweet corn inbred lines, and their combining abilities in hybrid combinations’. PhD Thesis, Department of Crop Science, Faculty of Agriculture, University of Putra Malaysia, Malaysia.

Pandey S K and Singh H. 2011. A simple, cost-effective method for leaf area estimation. Journal of Botany 2011: 1–7.

Ramoelo A, Cho M A, Mathieu R, Madonsela S, van deKerchove R, Kaszta Z and Wolff E. 2015. Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modeling and World view-2 data. International Journal of Applied Earth Observation and Geoinformation 43: 43–54.

Re3data.org: Knoema; editing status 2022-04-04; re3data.org – Registry of Research Data Repositories. http://doi.org/10.17616/ R38H1T last accessed: 2023-07-24.

Rohlf F. 2002. NTSYS-pc: Numerical Taxonomy System, Version 2.1. P. 38. Exeter Publishing. Ltd. Setauket, New York, USA. SAS Institute Inc. 2014. SAS/STAT® User’s Guide. Version 9.4

SAS Institute Inc., P. 210. Cary, North Carolina, USA. Schull M A, Anderson M C, Houborg R, Gitelson A and Kustas W P. 2015. Thermal-based modeling of coupled carbon, water, and energy fluxes using nominal light use efficiencies constrained by leaf chlorophyll observations. Biogeosciences 12(5): 1511–23.

Sheikh Sharoush M. 2013. ‘Effect of anti-transpiration on physiological and productive indicators of two maize cultivars (Zea mays L.) under water stress conditions’. PhD Thesis, Faculty of Agriculture, Aleppo University, Syria.

van Loon M P, Adjei-Nsiah S, Descheemaeker K, Akotsen-Mensah C, van Dijk M, Morley T, van Ittersum M K and Reidsma P. 2019. Can yield variability be explained? Integrated assessment of maize yield gaps across smallholders in Ghana. Field Crops Research 236: 132–44.

Wright S. 1921. Correlation and causation. Journal of Agricultural Research 20: 557–85.

Yan W. 2001. GGE biplot: A windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93: 1–11.

Yang H, Bo M, Chenwei N, Beibei X, Jiangfeng X, Xingli L, Jun X, Peng H, Ruizhi X, Keru W and Shaokun L. 2022. Maize canopy and leaf chlorophyll content assessment from leaf spectral reflectance: estimation and uncertainty analysis across growth stages and vertical distribution. Remote Sensing 14(2115): 1–22.

Yue H, Hugh G G, Jianwei W, Junliang X, Shuping C, Haicheng P, Junzhou B and Xuwen J. 2022. Genotype by environment interaction analysis for grain yield and yield components of summer maize hybrids across the Huanghuaihai region in China. Agriculture 12(602): 1–17.

Zhang X, Yang H, Chao W, Fan X, Xinhui L, Changwei T, Dongmei C, Guojie W and Lixin S. 2019. Estimation of corn canopy chlorophyll content using derivative spectra in the O2: A absorption band. Frontiers in Plant Science 10(1047): 1–13.

Zhu J, Tremblay T and Liang Y. 2012. Comparing SPAD and at LEAF values for chlorophyll assessment in crop species. Canadian Journal of Soil Science 92: 645–48.

Zinali H, Naser-Abadi E, Hossein-zadeh H, Chugan R and Sabokdast M. 2004. Factor analysis on hybrid of cultivar grain maize. Iranian Journal of Agriculture Science 36(4): 895–902.

Downloads

Submitted

2023-08-10

Published

2024-04-24

Issue

Section

Articles

How to Cite

MUSTAFA, B. S. ., ISMAEL, N. B. ., MUSTAFA, N. R. ., KAKARASH, S. A. ., & ABDULAZEEZ, S. D. . (2024). Chlorophyll content and leaf area correlated with corn (Zea mays) yield components in F1 hybrids. The Indian Journal of Agricultural Sciences, 94(4), 352–357. https://doi.org/10.56093/ijas.v94i4.140666
Citation