International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 5, Issue 10 (October 2018), Pages: 67-75

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 Original Research Paper

 Title: Correlation and genetic component studies for peduncle length affecting grain yield in wheat

 Author(s): Muhammad Umer Farooq 1, Asim Ali Cheema 2, Iqra Ishaaq 3, Jianqing Zhu 1, *

 Affiliation(s):

 1Crop Genetics and Breeding, Sichuan Agricultural University, Chengdu, China
 2Department of Renewable Resources, University of Alberta, Canada
 3Department of Plant Breeding and Genetics, University of Agriculture, Pakistan

 https://doi.org/10.21833/ijaas.2018.10.010

 Full Text - PDF          XML

 Abstract:

The main emphasis of wheat breeders is to strive for genetically more stable, high yielding varieties than the pre-released ones to sustain the yield. Yield improvement efforts should be made while considering all contributing factors that can improve it. The role of peduncle length influencing yield and other supporting features are barely taken into consideration, and still not fully elucidated. Understanding and utilization of plant natural response will help to develop genetically and morphologically more adaptable genotypes for ever-increasing feed demand. The present research was conducted to assess the nature of gene action controlling inheritance of these traits coupled with manipulating role for yield traits. In this regard, 27 F1 hybrids were developed by crossing 9 female and 3 male parents using Line × Tester (L×T) mating design and evaluated for yield and its related traits. The analysis of variance for combining ability pointed out the presence of broad genetic variation in material with highly heritable nature. Correlation studies portrayed strong phenotypic and genotypic association between peduncle length, plant height, flag leaf area, spike length and grain weight/plant. Strong association of peduncle length with other yield contributing traits may be utilized as an indirect selection criterion for yield improvement. Hence, short stature and high yielding varieties can be developed by controlling the favourable genes for peduncle length. All yield related traits except peduncle length, spike length, and flag leaf area were controlled by dominant genes. Selection in the later generations for peduncle length may indirectly improve yield. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Gene action, Line × tester analysis, Peduncle length, Metric yield traits, Correlations

 Article History: Received 3 May 2018, Received in revised form 11 August 2018, Accepted 14 August 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.10.010

 Citation:

  Farooq MU, Cheema AA, and Ishaaq I et al. (2018). Correlation and genetic component studies for peduncle length affecting grain yield in wheat. International Journal of Advanced and Applied Sciences, 5(10): 67-75

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I10/Farooq.html

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 References (39) 

  1. Asrar M, Usama K, Abdul R, Ghazanfar H, and Zulqarnain H (2016). Heritability of yield and yield components in hexaploid wheat. Academia Journal of Agricultural Research, 4(5): 277-280.   [Google Scholar]
  1. Basbag S, Ekinci R, and Gencer O (2007). Combining ability and heterosis for earliness characters in line× tester population of Gossypium hirsutum L. Hereditas, 144(5): 185-190. https://doi.org/10.1111/j.2007.0018-0661.01998.x   [Google Scholar]  PMid:18031352
  1. Borghi B and Perenzin M (1994). Diallel analysis to predict heterosis and combining ability for grain yield, yield components and bread-making quality in bread wheat (T. aestivum). Theoretical and Applied Genetics, 89(7-8): 975-981. https://doi.org/10.1007/BF00224527   [Google Scholar]
  1. Burton GW and Devane EH (1953). Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material 1. Agronomy Journal, 45(10): 478-481. https://doi.org/10.2134/agronj1953.00021962004500100005x   [Google Scholar]
  1. Chandio AA, Jiang Y, Joyo MA, and Rehman A (2016). Impact of area under cultivation, water availability, credit disbursement, and fertilizer off-take on wheat production in Pakistan. Journal of Applied Environmental and Biological Sciences, 6(10): 10-18.   [Google Scholar]
  1. Chowdhary MA, Sajad M, and Ashraf MI (2007). Analysis on combining ability of metric traits in bread wheat, triticum aestivum. Journal of Agricultural Research, 45(1): 11-17.   [Google Scholar]
  1. Chowdhry MA, Saeed MS, Khaliq I, and Ahsan M (2005). Combining ability analysis for some polygenic traits in a 5x5 diallel cross of bread wheat (Triticum aestivum L.). Asian Journal of Plant Sciences, 4(4): 405-408. https://doi.org/10.3923/ajps.2005.405.408   [Google Scholar]
  1. CoreTeam R (2014). R: A Language and Environment for Statistical Computing. The R Foundation for Statistical Computing, Vienna, Austria.   [Google Scholar]
  1. Desheva G and Kyosev B (2017). Study of genetic parameters and association between characters in einkorn genotypes. Trakia Journal of Sciences, 15(2): 141-148. https://doi.org/10.15547/tjs.2017.02.007   [Google Scholar]
  1. Fellahi ZEA, Hannachi A, Bouzerzour H, and Boutekrabt A (2013). Line× tester mating design analysis for grain yield and yield related traits in bread wheat (Triticum aestivum L.). International Journal of Agronomy, 2013: Article ID 201851, 9 pages. https://doi.org/10.1155/2013/201851   [Google Scholar]
  1. Gnanasekaran M, Vivekanandan P, and Muthuramu S (2006). Combining ability and heterosis for yield and grain quality in two line rice (Oryza sativa L.) hybrids. Indian Journal of Human Genetics, 66(1): 6-9.   [Google Scholar]
  1. Hammad G, Kashif M, Munawar M, Ijaz U, Muzaffar M, Raza MM, and Abdullah M (2013). Genetic analysis of quantitative yield related traits in spring wheat (Triticum aestivum L.). American-Eurasian Journal of Agricultural and Environmental Sciences, 13(9): 1239-1245.   [Google Scholar]
  1. Hasnain Z, Abbas G, Saeed A, Shakeel A, Muhammad A, and Rahim MA (2006). Combining ability for plant height and yield related traits in wheat (Triticum aestivum L.). Journal of Agricultural Research, 44(3): 167-173.   [Google Scholar]
  1. Hassan, G., Mohammad, F., Afridi, S. S., and Khalil, I. H. (2007). Combining ability in the F~ 1 generations of diallel cross for yield and yield components in wheat. Sarhad Journal of Agriculture, 23(4): 937-942.   [Google Scholar]
  1. Hussain I, F Mohammad, T Iqbal, GHassan S K, F Anwar F N, S Gao N A, and Nauman M (2017). Comparative analysis of some production traits in F5:9 recombinant inbred lines (RILs) of bread wheat. American-Eurasian Journal of Agricultural and Environmental Sciences, 17(2): 148-154.   [Google Scholar]
  1. Iqbal M, Navabi A, Salmon DF, Yang RC, Murdoch BM, Moore SS, and Spaner D (2007). Genetic analysis of flowering and maturity time in high latitude spring wheat. Euphytica, 154(1-2): 207-218. https://doi.org/10.1007/s10681-006-9289-y   [Google Scholar]
  1. Jain SK and Sastry EVD (2012). Heterosis and combining ability for grain yield and its contributing traits in bread wheat (Triticum aestivum L.). Journal of Agriculture and Allied Science, 1(1): 17-22.   [Google Scholar]
  1. Javaid A, Masood S, and Minhas NM (2001). Analysis of combining ability in wheat (Triticum aestivum L.) using F2 generation. Pakistan Journal of Biological Sciences, 4(11): 1303-1305. https://doi.org/10.3923/pjbs.2001.1303.1305   [Google Scholar]
  1. Kashif M and Khan AS (2008). Combining ability studies for some yield contributing traits of bread wheat under normal and late sowing conditions. Pakistan Journal of Agricultural Sciences, 45(1): 45-49.   [Google Scholar]
  1. Kempthorne O (1957). An introduction to genetic statistics. John Wiley and Sons, Inc., New York, USA.   [Google Scholar]
  1. Malik MFA, Awan SI, and Ali S (2005). Genetic behavior and analysis of quantitative traits in five wheat genotypes. Journal of Agriculture and Social Sciences, 1(4): 313-315.   [Google Scholar]
  1. Mangi SA, Sial MA, Ansari BA, and Arain MA (2007). Study of genetic parameters in segregating populations of spring wheat. Pakistan Journal of Botany, 39(7): 2407-2413.   [Google Scholar]
  1. MOFA (2017). Economic wing. Ministry of Food and Agriculture Islamabad, Pakistan. 
  1. Muller J (1991). Determining leaf surface area by means of linear measurements in wheat and triticale (brief report). Archiv Fuchtungsforsch, 21(2): 121-123.   [Google Scholar]
  1. Nazeer W, Hussain T, Khan MA, Naeem M, Amjad MW, and Hussain K (2013). Mechanism of inheritance for quantitative traits in interaspecific crosses of Triticum aestivum L. World Applied Sciences Journal, 22(10): 1440-1448.   [Google Scholar]
  1. Panse VG (1954). Statistical methods for agricultural workers. Indian Council of Agricultural Research, New Delhi, India.   [Google Scholar]
  1. Premlatha M, Kalamani A, and Nirmalakumari A (2011). Heterosis and combining ability for grain yield and quality in maize (Zea mays L.). Advances in Environmental Biology, 5(6): 1264-1267.   [Google Scholar]
  1. Rashid M, Cheema AA, and Ashraf M (2007). Line x tester analysis in basmati rice. Pakistan Journal of Botany, 39(6): 2035-2042.   [Google Scholar]
  1. Sayre KD, Rajaram S, and Fischer RA (1997). Yield potential progress in short bread wheats in northwest Mexico. Crop Science, 37(1): 36-42. https://doi.org/10.2135/cropsci1997.0011183X003700010006x   [Google Scholar]
  1. Sharma RK (2006). Studies on gene action and combining ability for yield and its component traits in rice (Oryza sativa L.). The Indian Journal of Genetics and Plant Breeding, 66(3): 227-228.   [Google Scholar]
  1. Sial MA (2007). Genetic heritability for grain yield and its related characters in spring wheat (Triticum aestivum L.). Pakistan Journal of Botany, 39(5): 1503-1509.   [Google Scholar]
  1. Singh NB, Singh YP, and Singh VPN (2005). Variation in physiological traits in promising wheat varieties under late sown condition. Indian Journal of Plant Physiology, 10(2): 171-175.   [Google Scholar]
  1. Steel RGD and Torrie JH (1981). Principles and procedures of statistics: A biometrical approach. 2nd Edition McGraw-Hill, London, UK.   [Google Scholar]
  1. Tiwari DK, Pandey P, Giri SP, and Dwivedi JL (2011). Prediction of gene action, heterosis and combining ability to identify superior rice hybrids. International Journal of Botany, 7(2): 126-144. https://doi.org/10.3923/ijb.2011.126.144   [Google Scholar]
  1. Uguru MI (2005). Crop genetics and breeding (Revised). Epharata Press, Nsukka, Enugu State, Nigeria.   [Google Scholar]
  1. Verma AK, Vishwakarma SR, and Singh PK (2007). Line x Tester analysis in barley (Hordeum vulgare L.) across environments. Barley Genetics Newsletter, 37: 29-33.   [Google Scholar]
  1. Verma OP and Srivastava HK (2004). Genetic component and combining ability analyses in relation to heterosis for yield and associated traits using three diverse rice-growing ecosystems. Field Crops Research, 88(2-3): 91-102. https://doi.org/10.1016/S0378-4290(03)00080-7   [Google Scholar]
  1. Xiang B and Li B (2001). A new mixed analytical method for genetic analysis of diallel data. Canadian journal of forest Research, 31(12): 2252-2259. https://doi.org/10.1139/x01-154   [Google Scholar]
  1. Yadav AK, Maan RK, Kumar S, and Kumar P (2011). Research note variability, heritability and genetic advance for quantitative characters in hexaploid wheat (Triticum aestivum L.). Electronic Journal of Plant Breeding, 2(3): 405-408.   [Google Scholar]