Volume 10, Issue 28 (12-2018)
J Crop Breed 2018, 10(28): 110-118 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
sadeghi F, Bagheri M. (2018). Comparison of Grain Yield and Earliness of New Maize Hybrids in Kermanshah. J Crop Breed. 10(28), 110-118. doi:10.29252/jcb.10.28.110
URL: http://jcb.sanru.ac.ir/article-1-826-en.html
URL: http://jcb.sanru.ac.ir/article-1-826-en.html
1- Seed and Plant Improvement Departments, Kermanshah Agricultural and Natural Resources Research Center, AREEO, Kermanshah, Iran.
2- Crop Corn Development Co. Kermanshah
2- Crop Corn Development Co. Kermanshah
Abstract: (3837 Views)
In order to evaluate the grain yield and other agronomic and qualitative characteristics of foreign corn hybrids, this experiment was conducted with 13 new maize hybrids and two commercial hybrids (BC-62, BC632, BC-621, BC628, BC-512, BC-595, PL-472, BC-525, Valbum, BC-626, BC-585, Torro, Simon, KSC 704 and KSC 703), in a randomized complete block design with four replications in Mahdasht research station in 2016. Analysis of variance showed that the effect of cultivar on grain yield, yield components and grain yield was significant at 1% probability level. The BC-621 was the best hybrid with a 100 seed weight of 359 gr, very low percentage of cob weight (12.4%) and high grain yield (15.060 t/ha) and shorter physiological maturation time (137 days). The BC-512 and BC-626 hybrids with physiological ripening time (138 and 136 days) and 1000 kernel weight (331 and 324 g) and cob (13.5% and 16.7%) and grain yields (14.430 and 13.830 t/h) were superior hybrids. The Torro hybrid was also a good cultivar with a 1000 kernel weight of 396 grams and a cob percentage (15 %) and a grain yield of 12.980 t/h and a physiological ripening time of 137 days. These hybrids are high-yielding and compatible and very suitable for cultivation in the temperate regions of Kermanshah province. These hybrids were a very suitable in terms of type, plant height and low leaf shade in the plant, and the ability to penetrate sunlight on the lower leaves. The four hybrids yields were about 3 to 5 t/h higher than the KSC704 and KSC703 controls. Also they had more tolerance to corn common disease.
References
1. Anonymous. 2012. Annual Reports Breeding of Corn and Forage Crops Division of Seed and Plant Improvement Institute, publication of seed and Plant Improvement Institute, (In Persian).
2. Araus, J.L., G.A. Slafer, C. Royo and M.D. Serret. 2008. Breeding for yield potential and stress adaptation in cereals. Critical Reviews in Plant Sciences, 27(6): 377-412. [DOI:10.1080/07352680802467736]
3. Babic, M., V. Anđelkovic, S.M. Drinic and K. Konstantinov. 2011. The conventional and contemporary technologies in maize (Zea mays L.) breeding at Maize Research Institute Zemun Polje. Maydica, 56: 155-164.
4. Badu-Apraku, B. and R. Akinwale. 2011. Identification of early-maturing maize inbred lines based on multiple traits under drought and low N environments for hybrid development and population improvement. Canadian Journal of Plant Science, 91: 931-942. [DOI:10.4141/cjps2010-021]
5. Bauman, L.F. 1981. Review of methods used by breeders to develop superior corn inbreeds. Corn Sorghum Ind. Res. Conf, 39: 199-208.
6. Betran, F.J., D. Beck, M. Banziger and G.O. Edmeades. 2003. Genetic analysis of inbred and hybrid grain yield under stress and non stress environments in tropical maize. Crop Science, 43: 807-817. [DOI:10.2135/cropsci2003.8070]
7. Byrne, M.D. and J.R. Anderson. 2001. Serial modules in parallel: The psychological refractory period and perfect time-sharing. Psychological Review, 108: 847-869. [DOI:10.1037//0033-295X.108.4.847]
8. Comstock, R.E. and R.H. Moll. 1963. Genotype- environment interactions. In: W. D. Hanson and H. F. Robinson (ed). Statistical genetics and plant breeding. Natl. Academic Science Publishing 1982. Washington, DC, 982 pp.
9. Dwyer, L.M., B.L. Ma, L. Evenson and R.I. Hamilton. 1994. Maize physiological traits associated with recurrent selection for grain yield and harvest moisture in mid-to short season environment. Crop Science, 34: 985-992. [DOI:10.2135/cropsci1994.0011183X003400040029x]
10. Duvick, D.N. 2005. The contribution of breeding to yield advances in maize (Zea mays L.). Advances in Agronomy, 86: 83-145. [DOI:10.1016/S0065-2113(05)86002-X]
11. FAO. 2014. http://www.fao.org/publications/sofa/2014/en
12. Ferrante, A., J. Eyre, B. George-Jaeggli, J. McLean, K. Chenu, P. DeVoil, G. McLean and D. Rodriguez. 2015. Maize yield determination in the Northern Region: Hybrid by environment by management interactions. Proceedings of the 17th ASA Conference, September 2015, Hobart, Australia. Web site www.agronomy2015.com.au. 20-24.
13. Foroughi, F. 2006. The deficit irrigation of maize on the basis of water production function, yield Conference on Management of the Irrigation and Drainage Networks. Chamran University of Ahvaz. Plant Production Science, 13(2): 199-208.
14. Hull, F.H. 1945. Recurrent selection for specific combining ability in corn. Jour. Amer. Agronomy, 37: 134-145. [DOI:10.2134/agronj1945.00021962003700020006x]
15. Maddonni, G.A., A.G. Cirilo and M.E. Otegui. 2006. Row width and maize grain yield. Agronomy Journal, 98: 1532-1543. [DOI:10.2134/agronj2006.0038]
16. Moghaddam, M. and H. Amiri Oghan 2010. Biometrical methods in quantitive genetic analysis (Translated), 139-203 (In Persian).
17. Mohammad, A.M., S. Shabbir, H. Amerand and S. Mohammad. 2008. Evaluation of maize three-way crosses through genetic variability, broad sense heritability, character association and path analysis. Journal of Agricultural Research, 46: 39-45.
18. Peleg, Z., M. Reguera, E. Tumimbang, H. Walia and E. Blumwald. 2011. Cytokinin-mediated source-sink modifications improve drought tolerance and increase grain yield in rice under water stress. Plant Biotechnology Journal, 1-12. [DOI:10.1111/j.1467-7652.2010.00584.x]
19. Rafiq, C.M., M. Rafique, A. Hussainand and M. Altaf. 2010. Studies on heritability, correlation and path analysis in maize (Zea mays L.). Journal of Agricultural Research, 48: 35-38.
20. Ross, A., A. Hallauer and M. Lee. 2006. Genetic analysis of traits correlated with maize ear length. Maydica, 51: 301-313.
21. Sadeghi, F. and J. Rothbeh. 2017. Evaluation of GrainYield and Yield Components using Descriptive and Multivariate Statistics. Journal of Crop Breeding, 8: 212-221 (In Persian). [DOI:10.29252/jcb.8.18.212]
22. Sadeghi, F. 2018. Evaluation of Drought Tolerance Indices of Grain Maize Hybrids UnderDeficit Irrigation. Journal of Crop Breeding, 10(25): 81-90 (In Persian).
23. Salahuddin, S., S. Abro, M.M. Kandhro, L. Salahuddin and S. Laghari. 2010. Correlation and path coefficient analysis of yield components of upland cotton (Gossypium hirsutum L.) Sympodial. World Applied Sciences Journal, 8: 71-75.
24. Selvara, J.C.I. and P. Nagarajan. 2011. Interrelationship and path-coefficient studies forqualitative traits, grain yield and other yield attributes among maize (Zea mays L.). International Journal of Plant Breeding and Genetics, 5: 209-223. [DOI:10.3923/ijpbg.2011.209.223]
25. Shiri, M. 2013. Grain yield stability analysis of maize (Zea mays L.) hybrids in different drought stress conditions using GGE bi-plot analysis. Crop Breeding Journal, 3: 107-112.
26. Shull, G.H. 1909. A pure-line method in corn breeding. Am. Breeders, ASSOC. Rep, 4: 296-301.
27. Song, Y., C. Qu, S. Birch, A. Doherty and J. Hanan. 2010. Analysis and modeling of the effects of water stress on maize growth and yield in dry land conditions. Plant Production Science, 13(2): 199-208. [DOI:10.1626/pps.13.199]
28. Troyer, A.F. 1996. Breeding widely adapted, popular maize hybrids. Euphytica, 92: 163-174. [DOI:10.1007/BF00022842]
29. Wu, J. 1998. On the relationship between plant-to-plant variability and stress tolerance in maize (Zea mays L.) hybrids from different breeding eras. M.S. thesis, Univ. of Guelph, ON, Canada, 85 P.
30. Yousuf, M. and M. Saleem. 2001. Correlation analysis of S1 families of maize for grain yield and its components. International Journal of Agriculture and Biology, 3: 387-388.
31. Zhang, L., S.T. Dong, C.H. Liu, K. Wang, J. Zhang and P. Liu. 2007. Correlation analysis on maize test weight, yield and quality. Scientia Agricultura Sinica-about Journal, 40: 405-411.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
