Indian Journal of Agricultural Research

  • Chief EditorT. Mohapatra

  • Print ISSN 0367-8245

  • Online ISSN 0976-058X

  • NAAS Rating 5.60

  • SJR 0.293

Frequency :
Bi-monthly (February, April, June, August, October and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Indian Journal of Agricultural Research, volume 51 issue 2 (april 2017) : 120-127

Genetic variation and association study for grain yield in germplasm accessions of maize (zea mays L.)

Niharika Shukla
1<p>Department of Plant Breeding and Genetics,&nbsp;College of Agriculture, JNKVV, Jabalpur- 482 004, India</p>
Cite article:- Shukla Niharika (2017). Genetic variation and association study for grain yield in germplasm accessions of maize (zea mays L.) . Indian Journal of Agricultural Research. 51(2): 120-127. doi: 10.18805/ijare.v0iOF.7628.

The present investigation aimed to find out the association among yield and its components and to sort out the traits that are directly or indirectly contributing towards yield in landraces of maize genotypes. The eighty eight (88) maize germplasm collections were used in present study during Kharif -2012 and Kharif -2013 in RCBD design. Pooled data and standard statistics were employed (means, ranges, GM±SE, standard error and coefficient of variation etc.) for analysis of the seventeen quantitative traits to have a reflection of the level of genetic variability. A considerable amount of variability was found among germplasms for various important traits viz. plant height, ear weight, ear length, 1000 kernel weight similarly grain yield per plant etc. grain yield exhibited positive and highly significant correlation with ear height, days to female flower initiation, days to 50% male flower initiation, days to 50% female flower initiation, days to maturity, 1000 grain weight, ear weight at genotypic and phenotypic level. Maximum phenotypic correlation coefficient was recorded by cob diameter (0.955) followed by days to female flower initiation (0.758), plant height (0.718*) and days to male flower initiation (0.679).Path analysis indicated that the character ear height (0.410) recorded highest of the direct effect followed by biological yield per plant (0.408), harvest index (0.328), days to female flower initiation (0.32), prop root (0.149) and 1000 kernel weight (0.136), so such traits may be rewarding and they should be given importance while practicing selection, aimed at improving grain yield per plant in maize. The genotypes JLM 22 was to be found best for high yield by considering all yield contributing traits followed by JLM 51, HKI 1344, CML 429, CML 470, JLM 30 JLM 2 and these can be utilized in further breeding programmes for producing single cross hybrids in Maize.

  • Balbinot, J. A. A., Backes, R.L., Alves, A.G. Ogliari, J.B. and Fonreca, J.A. (2005). Contribution of yield components on grain yield in maize open pollinated varieties. Int. J. Revista Brasileria-de-Agrociencia., 11: 161-166.

  • Bekric, V., Radosavljevic, M. (2008): Savremeni pristupi upotrebe kukuruza. PTEP 12:93-96.

  • Bello, O.B., Abdulmaliq, S.Y. Afolabi, M.S. and Ige, S.A., (2010). Correlation and path coefficient analysis of yield and agronomic characters among open pollinated maize varieties and their F1 hybrids in a diallel cross. Afr. J. Biotechnol., 9: 2633-2639.

  • Dewey, D. R. and Lu, K. H. (1959). Correlation and path coefficients analysis of components of crested wheat grass seed population. Agron. J.: 515-518.

  • Ei-Shouny, K.A., Ei-Bagowly, O.H., Ibrahim, K.I.M. and Al-Ahmad, S.A., (2005). Correlation and path analysis in four yellow maize crosses under two planting dates. Arab Univ. J. Agric. Sci., 13: 327-339.

  • Eleweanya, N.P., Uguru, M.I., Eneobong E.E. and Okocha, P.I. (2005). Correlation and path coefficient analysis of grain yield related characters in maize (Zea mays L.) under umudike conditions of South Eastern Nigeria. Journal of Agriculture, Food, Environment and Extension. 4: 24-28.

  • Gaikwad, K.B., Ambati, D., Prashat, G. R., Saha, A. and Gupta, R. (2016). Collection, Documentation and Conservation of Local Maize Germplasm of Tribal Areas of Madhya Pradesh, India. 1st International Agrobiodiversity Congress, November 6-9, New Delhi, India, viii+344 p.

  • Garcia Del Moral, L.F., Rharrabti, Y.,Villegas, D. and Royo, C. (2003). Evaluation of grain yield and its components in durum wheat under Mediterranean conditions, An Ontogenic Approach, Agronomy Journal, 95: 266-274.

  • Gouesnard, B., Chastanet, M., Tollon-Cordet, C., Dubreuil, P., Boyat, A. and Charcosset, A. (2005). Etude de la diversite genetique du mais en Europe: Analyse d’ADN ancien a partir d’echantillons d’herbier et confrontation avec l’analyse moleculaire a grande echelle de collections de populations. Les Actes du BRG. 5: 345-355.

  • Halidu, J., Abubakar, L., Izge, U.A., Ado, S.G., Yakubu, H. and Haliru, B.S. (2015).Correlations analysis for maize grain yield, other agronomic parameters and striga affected traits under striga infested/free environment. Journal of Plant Breeding and Crop Science, 7 :9-17.

  • Mahesh, N., Gowda, M. V. C., Motagi, B. N. and Nagaratna, F. U. (2013). Correlation and path analysis of yield and kernel components in maize. Karnataka J. Agric. Sci.,26 : 306-307.

  • Romay, M. C., Millard, M. J., Glaubitz, J. C., Peiffer, J. A., Swarts, K. L., Casstevens, T. M., Elshire, R. J., Acharya, C. B., Mitchell, S. E., Flint-Garcia, S. A., McMullen, M. D., Holland, J. B., Buckler, E. S. and Gardner, C. A. (2013). Comprehensive genotyping of the USA national maize inbred seed bank. Genome Biol. 14: 1-18.

  • Sandeep Kumar, T., Reddy, D. M., Reddy, K. H. and Sudhakar, P. (2011). Targeting of traits through assessment of interrelationship and path analysis between yield and yield components for grain yield improvement in single cross hybrids of maize (Zea mays L.). International Journal of Applied Biology and Pharmaceutical Technology, 2: 123-129.

  • Sharma, R., Maloo, S. R., Joshi, A. and Choudhary, S. (2015). Assessment of genetic divergence in diverse maize (Zea mays L.) genotypes. Indian J. Agric. Res. 49: 476-478.

  • Singh, R.K. and Chaudhary, B.D. (1985). Biometrical Methods in Quantitative Analysis. Kalayani Publishers, New Delhi.

  • Sumathi, P., Nirmalakumari, A. and Mohanraj, K. (2005). Genetic variability and traits interrelationship studies in industrially utilized oil rich CIMMYT lines of maize (Zea mays L). Madras Agric. J., 92: 612 –617.

  • Wali, M.C., Salimath, P.M., Prashanth, M. and Harlapur, S.I. (2006). Studies on character association as influenced by yield, starch and oil in maize (Zea mays L.). Karnataka J. Agric. Sci., 19: 932-935.

  • Wright, S. (1921). Correlation and Causation, Journal of Agricultural Research, 20: 557-585. 

Editorial Board

View all (0)