Correlation and Path Analysis Maize Hybrid Yield
DOI:
https://doi.org/10.36706/jlso.12.1.2023.629Keywords:
correlation, maize hybrid, path analysisAbstract
The yield was a complex quantitative character. It was due to many other characters being related to yield. This study aimed to determine the correlation between agronomic characters in maize and the characters that affect the yield of hybrid maize. This experiment was conducted at the Bajeng IP2TP, Indonesian Cereal Research Institute, Gowa, South Sulawesi from March to June 2022. The treatments consisted of ten hybrid maize genotypes. The treatments were arranged in a Randomized Complete Block Design (RCBD) with three replications. The variables observed were the agronomic component and yield component. Pearson's correlation was used to determine the relationship between characters, and the characters that affected the grain yield were determined by path analysis. The results showed the characters leaf length, leaf width, harvested plant number, harvested ear number, harvested ear weight, shelling percentage, ear length, ear diameter, kernel number per row and 1000 grains weight have a significant correlation to yield. Characters that affected to maize yields were harvested ear weight, shelling percentage and grain moisture.
References
Amas ANK, Musa Y, Amin R. 2021.Correlation analysis and path analysis of hybrid maize agronomic character. J. Abdi. 3: 43–52.
Bechere E, Boykin JC, Zeng L. 2014. Genetics of ginning efficiency and its genotypic and phenotypic correlations with agronomic and fiber traits in upland cotton. Crop Sci. 54: 507–513. DOI: 10.2135/cropsci2013.05.0337.
Efendi R, Aqil M, Makkulawu AT, Azrai M. 2016. Path analysis in the determination of selection characteristics of hybrid maize genotypes tolerant to drought stress. Inform. Pertan. 25: 171–180.
Fatmawati, Zulham. 2019. Margin analysis and efficiency of marketing channels farmers maize (Zea mays) in Village Suka Makmur Pohuwato District Gorontalo Province. Gorontalo Agric. Technol. J. 2: 19–29. DOI: 10.32662/gatj.v2i1.488.
Hapsari RT. 2016. Estimation of genetic variability and correlation among early maturity mungbean yield components.Bul. Plasma Nutfah. 20: 51–58. DOI: 10.21082/ blpn. v20n2.2014.p51-58.
Hazra A, Gogtay N. 2016. Biostatistics series module 6: correlation and linear regression. Indian J Dermatol. 61 (6): 593.
Kartina N, Wibowo BP, Widyastuti Y, Rumanti IA. 2016. Correlation and path analysis for agronomic traits in hybrid rice. J. Ilmu Pertan. Indones. 21: 76–83.
Kementerian Pertanian. 2020. Maize Outlook 2020: Agriculture commodity Crop subsector. Pusat Data dan Sistem Informasi Pertanian Kementrian Pertanian.
Kmail Z, Milander J, Jukic Z, Mason S. 2017. Path analysis comparison of plant population and hybrid maturity for maize primary and secondary yield components. Agric. Conspec. Sci. 81: 197–204.
Krisnawati A, Adie MM. 2016. Relationship between morphological component with seed yield characters of soybean. Bul. Palawija. 14: 49–54. DOI: 10.21082/bulpa.v14n2.2016.p49-54.
Lusiana ED, Musa M, Ramadhan S. 2021. Determinants of Nile tilapia’s (Oreochromis niloticus) growth in aquaculture pond in Batu, Indonesia. Biodiversitas J. Biol. Divers. 22.
Maftuchah, Reswari HA, Ishartati E, Zainudin A, Sudarmo H. 2015. Heritability and correlation of vegetative and generative character on genotypes of jatropha (Jatropha curcas Linn.). Energy Procedia. 65: 186–193. DOI: 10.1016/j.egypro.2015.01.058.
Mulyani PT, Waluyo B. 2020. Correlation analysis between yield component traits and yield of watermelon genotypes (Citrullus Lanatus). Agrosaintek. 4: 41–48. DOI: 10.33019/agrosainstek.v4i1.86.
Mustakim, Samudin S, Maaemunah. 2019. Genetic diversity, heritability and correlation between local cultivars of upland rice. Agrol. Agric. Sci. J. 6: 20–26.
Nasution MA. 2018. Genetic correlation and path analysis between morphological and fruit componen characters of pineappple (Ananas comosus L. Merr.). Crop Agro. 3: 1–9.
Permata S, Taryono T, Mitrowihardjo S. 2012. Correlation between yield and yield components in sesame (Sesamum indicum L.). Vegetalika. 4: 112–123.
Prabowo H, Djoar DW, Pardjanto. 2014. Correlation of agronomic characters with yield and anthocyanin content of brown rice. Agrosains. 16: 49–54.
Prayudha, H.N., Noerrizki, A.M., Maulana, H., Ustari, D., Rostini, N., Karuniawan, A., 2019. Genetic diversity of purple fleshed sweet potato clones based on morphology and agronomy traits. Bul. Palawija. 17: 94–101. DOI: 10.21082/bulpa.v17n2.2019.p94-101.
Priyanto SB, Azrai M, Takdir AM. 2016. Genetic parameter and maize yield component correlation. Bul. Penelit. Tanam. Serealia. 1: 9–15.
Priyanto SB, Efendi R. 2022. Secondary characters study for indirect selection in low nitrogen tolerant hybrid maize. Vegetalika. 11: 207–219.
Seesang J, Siripicchit P, Somchit P, Sreewongchai T. 2013. Genotypic correlation and path coeffecien for some agronomic traits of hybrid and inbred rice (Oryza sativa L.) cultivars. Asian J. Crop Sci. 5: 319–324.
Silva TN, Moro GV, Moro FV, Dos Santos DMM, Buzinaro R. 2016. Correlation and path analysis of agronomic and morphological traits in maize. Rev. Cienc. Agron. 47: 351–357. DOI: 10.5935/1806-6690.20160041.
Singh RK, Chaudhary BD. 1979. Biometrical methods in quantitative genetic analysis. Kalyani Publisher, New Delhi.
Sugiyono. 2017. Quantitative and qualitative experimental methods. R&D. IKAPI, Bandung.
Timisela J, Anakotta A, Hiariej A, Jambormias E. 2020. Genotype and phenotype correlation between the quantitative traits in transgressive segregation population of mungbean. J. Budid. Pertan. 16: 21–30. DOI: 10.30598/jbdp.2020.16.1.21.
Tiwari GC. 2015. Variability, heritability and genetic advance analysis for grain yield in rice. Int. J. Eng. Res. Appl. 5: 46–49.
Waluyo N, Wicaksana N, Anas, Sulastrini I, Pinilih J, Hidayat IM. 2022. Correlation and path analysis of growth and yields components characters to yield of shallots (Alllium Cepa L. Var Aggregatum) in highland. Agrosaintek. 6: 43–52.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Slamet Bambang Priyanto, Oky Dwi Prayitno, Roy Efendi
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
