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  3. 2023 - Volume 24 [Issue 1-2]
  4. Original Research Article

Selection Procedures for Improving Some Economic Characters and Correlated Responses in Cotton (Gossypium barbadense L.) Cross

  •  Heba Hussien Elsayed Hamed
  •  Soad H. Hafez
  •  Ashraf Ebrahim Ismail Darwesh
  •  Maamoun Ahmed Abdel-Moneam

PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, Page 1-16
DOI: 10.56557/pcbmb/2023/v24i1-28091
Published: 5 January 2023

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Abstract


A study was done at Sakha Agricultural Research Station Farm, Kafr El-Sheikh, Egypt during 2019-2021 growing seasons. The study aimed at assessing the efficacy and usability of various selection procedures, determining the effectiveness of selection for superior families and estimating the response to selection. The materials utilized for selection of promising families in early segregating generations included F2, F3 and F4 generations of Giza 94 × S106 cotton cross.. Findings revealed better F4 means than the F3 and F2 means for all studied characters due to the selection procedures used. High heritability values were recorded for most studied characters. Significant desirable correlations were noticed between seed cotton yield with lint yield, bolls/plant, lint/seed, seeds/boll and boll weight. Canonical discriminant analysis among F3 families showed that the first five canonical functions accounted for 100% of total variances. While first canonical discriminant function represented 46% of the total variance among genotypes with the greatest Eigen value and prevailed by great loading from most yield characters and micronaire reading. Ten of the selection indices surpassed direct selection in improving lint yield. The highest actual advance in lint yield for F3 obtained from selection index comprising lint yield/plant in addition to bolls/plant, seeds per boll and lint per seed. In F4 generation, the maximum actual gains were obtained for most yield traits with indices involved lint yield/plant and seeds/boll with lint/seed. Most of the selected families in F4 scored high values for almost all the studied characters and surpassed the corresponding means of selected families in F3 and F2 generations; these selected families might be used to improve cotton yield and fiber quality in breeding programs.


Keywords:
  • Cotton
  • genetic advance
  • canonical discriminant analysis
  • selection procedures
  • selection index
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How to Cite

Hamed, H. H. E., Hafez, S. H., Darwesh, A. E. I., & Abdel-Moneam, M. A. (2023). Selection Procedures for Improving Some Economic Characters and Correlated Responses in Cotton (Gossypium barbadense L.) Cross. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 24(1-2), 1-16. https://doi.org/10.56557/pcbmb/2023/v24i1-28091
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References

Singh P. Cotton breeding. New Delhi: Kalyani Publishers. 2004;12-3.

Fellhi ZEA, Hannachi A, Bouzerzour H. Analysis of direct and indirect selection and indices in bread wheat (Triticum aestivum L.) segregating progeny. Int J Agron. 2018;2018:1-11.

El-Mansy YM. Relative efficiency of direct and indirect selection with selection indices for improving some economic characters in cotton (G. barbadense L.). J Agric Res. 2015;41(1):192-215.

Ramdan BM, El-Mansy YM, Al-Ameer MA, Abou- El-Yazied MA. Improvement of some economic characters through direct selection in Egyptian Cotton. Egypt J Plant Breed. 2014;18(4):783-97.

Abd El-Aty MS, Soror FA, Ramadan BM, EL-Shamy AF. Genetic advance from applied some selection procedures in segregating population in Egyptian Cotton. The. Egypt 11th International Plant Breed Conference Kafr El- Sheikh, University. 17-18 Oct; 2017; 1-9.

Desalgen Z, RatanaDilok N, Kaveeta R. Correlation and heritability for yield and fiber quality parameters of Ethiopian cotton estimated from 15 diallel cross. Kasetstart J Nat Sci. 2009;34(1):1-11.

Arauja LF, Neta FC, Bleicher E. Correlations and path analysis in components of fiber yield in cultivars of upland cotton. Bragantia, Compainas. 2012;71(33):328-35.

Falconer DS. Introduction to quantitative genetics. Edinburgh, London: Oliver & Boyd; 1989.

El-Lawendey MM, El-Mansy YM, El-Dahan MAA. Economic values effects on genetic gains of lint cotton yield and its components using selection indices. Minufiya J Agric Res. 2011;36(6):1649-68.

Djaboutou MC, Sinha MG, Houedjissin SS, Cacai GH, Ahanhanzo C. Variability and heritability of morphological traits in collection of cotton genotypes (Gossypium hirsutum L.) and their potential use for the selection. Eur Sci J. 2017;13(3):385-95.

Ayele AG, Kelly BR, Hequet EF. Evaluating within-plant variability of cotton fiber length and maturity. Agron J. 2018; 110:1-37.

Kearsy M, Pooni HS. Genetical analysis of quantitative traits. London: Chapman & Hall; 1996.

Walker JT. The use of a selection index technique in the analysis of progeny row data. Emp Cotton Grow Rev. 1960;37:81-107.

Falconer DS, Muckey TFC. Introduction of quantitively genetic. 4th ed. England: Longman; 1996. p. 464.

Smith HF. A discriminate function for plant selection. Ann Eugen. 1936;7(3):240-50.

Hazel LN. The genetic basis for constructing selection indices. Genetics. 1943;28(6):476-90.

Bos I, Caligari P. Selection methods in plant breeding. New York: Chapman & Hall; 1995.

Miller PA, Rawlings JO. Selection for increased lint yield and correlated responses in upland cotton, Gossypium hirsutum L. 1. Crop Sci. 1967;7(6):637- 40.

Hair JF, Jr., Anderson RE, Tatham RL. Multivariate data analysis with reading. New York: Macmillan Pup. Co; 1987.

SPSS. SPSS computer users Guide, USA; 1995.

Ahmed HM, Kandhro MM, Laghari S, Abro S. Heritability and genetic advance as selection indicators for improvement in cotton (G. hirsutum L.). J Biol Sci. 2006;6(1):96-9.

El-Mansy YM. Cluster analysis with selection index for improvement some economic characters in some cotton genotypes. 1st Nile Delta Conference. Faculty of Agriculture, Minufia University. 2009;135-55.

Abou El-Yazied MA, Soliman YAM, El- Mansy YM. Effectiveness of recurrent selection for improvement of some economic characters in Egyptian Cotton. Egypt J Agric Res. 2014;92(1):135-51.

Mabrouk AH. Application of some selection procedures for improving of some economic characters in cotton (G. barbadense L.). Menoufia J Plant Prod. 2020;5:365-83.

Amer EA, EL-Hoseiny HA, Hassan SS. Using recurrent selection to improve some economic traits in Egyptian Cotton (Gossypium barbadense L.). J Sustain Agric Sci. 2022;48(1):41-50.

Kelly B, AN. bidi, D. Ethridge and E.F. Hequet. In: Cotton. 2nd ed;. Fiber to fabric. Agronomy. Monogr. ASA. CSSA, and Madison, WI: SSSA. 2015;57:665-744.

Cao T, Oumarou P, Gawrysiak G, Klassou C, Hau B. Short-season cotton (Gossypium hirsutum) may be a suitable response to late planting in sub-Saharan regions. Field Crops Res. 2011;120(1):9-20.

Mahmoud BA. Using selection index for improving some economic traits in cotton (G. barbadense L.). Egypt J Plant Breed. 2020;24(1):21-40.

Sivasubramanian S, Menon M. Heterosis and inbreeding depression in rice. Madras Agric J. 1973;60:1139-40.

El-Lawendey MM, Soliman YA, Abd El-Bary AR, El-Mansy YM. Using fourteen selection procedures to evaluate predicted and realized genetic gain in the cotton cross Giza 86×Suvin. Egypt J Plant Breed. 2008;12(1):157-75.

El-Lawendey MM, El-Dahan MAA. Comparison between direct and indirect selection and two indices in segregating populations of cotton (Gossypium barbadense L.). J Agric Res. 2012;38(1) :37-53.

Vinodhana KN, Gunasekaran M, Vindhyavarman P. Genetic studies of variability, correlation and path coefficient analysis in cotton genotypes. Int J Pure Appl Biosci. 2013;1(5):6-10.

El-Lawendey MM. Effect of some selection procedures on lint yield and seed characters improvement in cotton [Ph.D. thesis]. Moshtohor: Faculty of Agriculture. Egypt: Zagazig University; 2003.

Makhdoom K, Khan N, Batool S, Hussain D, Sajjad M. Genetic aptitude and correlation studies in G. hirsutum L. Pak J Bot. 2010;42:2011-7.

Farooq MA, Farooq RZ, Hahi F. Correlation and path coefficient analysis of earliness and yield contributing traits in cotton. J Anim Plant Sci. 2014;24(3): 781-90.

Abd El-Salam ME, Shaker SA, Darwesh AEI, Badr SSM. Evaluation of some cotton lines under different environmental conditions. J Agric Res Kafr Sheikh Univ. 2014;40(4):804-18.

Al-Hibbiny YIM, Ramadan BM, Badeaa AM, El-Fesheikawy ABA. Effectiveness of some selection procedures for improvement of lint yield in cotton (Gossypium barbadense L.). Egypt J Plant Breed. 2019;23(8):1631-46.
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