Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-27T22:07:12.721Z Has data issue: false hasContentIssue false
  • English
  • Français

Genetic dissection of association among within-boll yield components and their relationship with seed cotton yield in F3 populations of Gossypium hirsutum L.

Published online by Cambridge University Press:  20 October 2015

Sami Ul-Allah ,
Muhammad Iqbal ,
Muhammad Naeem  and
Waqas Zahid
Sami Ul-Allah*
Affiliation:
Department of Plant Breeding and Genetics, UCA&ES, The Islamia University of Bahawalpur, Bahawalpur63100, Pakistan
Muhammad Iqbal
Affiliation:
Department of Plant Breeding and Genetics, UCA&ES, The Islamia University of Bahawalpur, Bahawalpur63100, Pakistan
Muhammad Naeem
Affiliation:
Department of Plant Breeding and Genetics, UCA&ES, The Islamia University of Bahawalpur, Bahawalpur63100, Pakistan
Waqas Zahid
Affiliation:
Department of Plant Breeding and Genetics, UCA&ES, The Islamia University of Bahawalpur, Bahawalpur63100, Pakistan
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Only a little information is available on the genetic association of basic within-boll yield components of segregating populations. A total of 25 genotypes were evaluated for genetic diversity using SSR markers in 2012; of these, eight diverse genotypes were selected to attempt the generation of five crosses. From the progeny of these five crosses, five F3 populations were developed. Data for within-boll yield components were recorded by taking 30 observations (one observation average of five bolls) from each population, and analysed for genotypic and phenotypic correlations followed by the path coefficient analysis from the genotypic correlation. The highest genotypic correlation was observed between seed cotton yield per locule and number of seeds per boll (ranging from 0.654 to 0.972 for different crosses). Except number of seeds per locule and lint percentage, all the other within-boll yield components had a highly significant positive correlation with seed cotton yield, whereas the former two had a negative correlation. Path coefficient analysis revealed that number of seeds per boll had a maximum direct effect on yield (ranging from 0.776 to 0.895 for different crosses), and also had a relatively high magnitude of the indirect effect via other traits. Differences were observed in the magnitude of correlation coefficients and direct/indirect effects for different populations, but the direction of genetic association always remained the same. The present study showed that number of locules per boll, seed cotton yield per locule, number of seeds per boll and seed cotton yield per boll can be used as efficient selection criteria for the improvement in seed cotton yield.

Keywords

boll yield traitscorrelationgenetic diversitypath coefficient analysis
Type
Research Article
Information
Plant Genetic Resources , Volume 15 , Issue 2 , April 2017 , pp. 157 - 164
Copyright
Copyright © NIAB 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ali, N and Wynne, J (1994) Heritability estimates and correlation studies of early maturity and other agronomic traits in two crosses of peanut (Arachis hypogaea L.). Pakistan Journal of Botany 26: 75–82.Google Scholar
Bechere, E, Zeng, L and Boykin, D (2014) Correlation and path-coefficient analyses of lint yield and other traits in upland cotton (Gossypium hirsutum L.). Journal of Crop Improvement 28: 852–870.CrossRefGoogle Scholar
Bednarz, CW, Nichols, RL and Brown, SM (2007) Within-boll yield components of high yielding cotton cultivars. Crop Science 47: 2108–2112.CrossRefGoogle Scholar
Bhatt, G (1973) Significance of path coefficient analysis in determining the nature of character association. Euphytica 22: 338–343.CrossRefGoogle Scholar
Biradar, S, Salimath, P and Sridevi, O (2010) Association studies in the three segregating populations of cowpea (Vigna unguiculata (L.) Walp.). Karnataka Journal of Agricultural Sciences 20: 252–254.Google Scholar
Board, J, Kang, M and Harville, B (1997) Path analyses identify indirect selection criteria for yield of late-planted soybean. Crop Science 37: 879–884.Google Scholar
Coyle, GG and Smith, CW (1997) Combining ability for within-boll yield components in cotton, Gossypium hirsutum L. Crop Science 37: 1118–1122.Google Scholar
Desalegn, Z, Ratanadilok, N and Kaveeta, R (2009) Correlation and heritability for yield and fiber quality parameters of Ethiopian cotton (Gossypium hirsutum L.) estimated from 15 (diallel) crosses. Kasetsart Journal: Natural Science 43: 1–11.Google Scholar
Dewey, DR and Lu, K (1959) A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal 51: 515–518.Google Scholar
Gomez, KA and Gomez, AA (1984) Statistical Procedures for Agricultural Research. New York: John Wiley and Sons.Google Scholar
Hoffmann, AA and Merilä, J (1999) Heritable variation and evolution under favourable and unfavourable conditions. Trends in Ecology & Evolution 14: 96–101.Google Scholar
Hussain, K, Khan, IA, Sadaqat, HA and Amjad, M (2010) Genotypic and phenotypic correlation analysis of yield and fiber quality determining traits in upland cotton (Gossypium hirsutum). International Journal of Agriculture and Biology 12: 348–352.Google Scholar
ICAC(2015) 2015/16 Area and Production Down. Washington, DC: International Cotton Advisory Committee.Google Scholar
Imran, M, Shakeel, A, Azhar, F, Farooq, J, Saleem, M, Saeed, A, Nazeer, W, Riaz, M, Naeem, M and Javaid, A (2012) Combining ability analysis for within-boll yield components in upland cotton (Gossypium hirsutum L.). Genetic and Molecular Research 11: 2790–2800.Google Scholar
Jones, WM, Joy, K and Smith, CW (2014) Within-boll yield components and fiber traits of upland cotton. Crop Science 54: 1057–1061.Google Scholar
Karademir, E, Karademir, C, Ekininci, R and Gencer, O (2010) Relationship between yield, fiber length and other fiber-related traits in advanced cotton strains. Notulae Botanicae Horti Agrobotanici Cluj-Napoca 38: 111–116.Google Scholar
Rauf, S, Khan, TM, Sadaqat, HA and Khan, AI (2004) Correlation and path coefficient analysis of yield components in cotton (Gossypium hirsutum L.). International Journal of Agriculture and Biology 6: 686–688.Google Scholar
Salahuddin, S, Abro, S, Kandhro, M, Salahuddin, L and Laghari, S (2010) Correlation and path coefficient analysis of yield components of upland cotton (Gossypium hirsutum L.) sympodial. World Applied Science Journal 8: 71–75.Google Scholar
Saranga, Y, Menz, M, Jiang, C-X, Wright, RJ, Yakir, D and Paterson, AH (2001) Genomic dissection of genotype × environment interactions conferring adaptation of cotton to arid conditions. Genome Research 11: 1988–1995.Google Scholar
Smith, CW and Coyle, GG (1997) Association of fiber quality parameters and within-boll yield components in upland cotton. Crop Science 37: 1775–1779.Google Scholar
Tang, F and Xiao, W (2013) Genetic effects and heterosis of within-boll yield components in upland cotton (Gossypium hirsutum L.). Euphytica 194: 41–51.Google Scholar
Tang, F and Xiao, W (2014) Genetic association of within-boll yield components and boll morphological traits with fibre properties in upland cotton (Gossypium hirsutum L.). Plant Breeding 133: 521–529.Google Scholar
Wu, J, Jenkins, JN, McCarty, JC and Zhu, J (2004) Genetic association of yield with its component traits in a recombinant inbred line population of cotton. Euphytica 140: 171–179.CrossRefGoogle Scholar