Skip to main content
SpringerLink
Log in

Genetic association of cotton yield with its component traits in derived primitive accessions crossed by elite upland cultivars using the conditional ADAA genetic model

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Boll number, lint percentage, and boll weight are three component traits for lint yield of upland cotton, Gossypium hirsutum L. Selecting high yielding lines or hybrids depends on the ability to dissect the genetic relationship of lint yield with these component traits. In this study, 14 day-neutral lines with desirable fiber quality derived from primitive accessions were top crossed with five commercial cultivars. The F2 populations and parents were grown in one location in 1998 and two locations in 1999 at Mississippi State, MS. The F3 populations and parents were grown in two locations in 2000. Lint yield and three component traits were measured and analyzed by the ADAA genetic model with the mixed model based conditional approach. Results showed that boll number or boll number with lint percentage or boll weight contributed to the majority of the phenotypic variance and variance components for lint yield. Boll number was more important than the other two component traits in terms of various genetic effects. The results also showed that the combination of boll number and boll weight greatly increased the contribution to lint yield even though boll weight itself had no significant contribution to lint yield compared to boll number alone. The genetic contribution effects were also predicted due to single component traits or their combinations for parents and crosses. The results revealed that the balanced selection of boll weight and boll number should be considered to obtain high yielding hybrids or pure lines.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

ADAA :

Additive, dominance, additive × additive genetic model

CR:

Contribution ratio

References

  • Ball RA, McNew RW, Vories ED, Keisling TC, Purcel LC (2001) Path analyses of population density effects on short-season soybean yield. Agron J 93:187–195

    Article  Google Scholar 

  • Bora GC, Gupta SN, Tomer YS, Singh S (1998) Genetic variability, correlation and path analysis in faba bean (Vicia faba). Indian J Agric Sci 68:212–214

    Google Scholar 

  • Bowman DT, May OL, Calhoun DS (1996) Genetic base of upland cotton cultivars released between 1970 and 1990. Crop Sci 36:577–581

    Article  Google Scholar 

  • Bowman DT, May OL, Calhoun DS (1997) Coefficients of parentage for 260 cotton cultivars released between 1970 and 1990. USDA-ARS Technical Bulletin No. 1852. USDA-ARS, Washington, DC, 80 pp

  • Calhoun DS, Bowman DT, May OL (1994) Pedigrees of Upland and Pima cotton cultivars released between 1970 and 1990. Mississippi Agric & For Exp Stn Bulletin 1017

  • Calhoun DS, Bowman DT, May OL (1997) Pedigrees of upland and pima cotton cultivars released between 1970 and 1995. Mississippi Agric & For Exp Stn Bull 1069

  • Cheverud JM, Routman EJ (1996) Epistasis as a source of increased additive genetic variance as population bottlenecks. Evolution 50:1042–1051

    Article  Google Scholar 

  • Comstock RE, Robinson HF (1948) The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance. Biometrics 4:254–266

    Article  PubMed  CAS  Google Scholar 

  • Cramer CS, Wehner TC (2000) Path analysis of the correlation between fruit number and plant traits of cucumber population. Hortic Sci 35:708–711

    Google Scholar 

  • Culp TW, Harrell DC (1975) Influence of lint percentage, boll size, and seed size on lint yield of upland cotton with high fiber strength. Crop Sci 15:741–746

    Article  Google Scholar 

  • Jenkins JN, McCarty JC (1995) Useful tools in managing cotton production: end of season plant maps. Mississippi Agric & For Exp Stn Bull 1024

  • McCarty JC, Jenkins JN (1992) Characteristics of 79 day-neutral primitive race accessions. Mississippi Agric & For Exp Stn Bull 184

  • McCarty JC, Jenkins JN, Tang B (1995) Primitive cotton germplasm: variability for yield and fiber traits. Mississippi Agric & For Exp Stn Bull 202

  • McCarty JC, Jenkins JN, Zhu J (1998a) Introgression of day-neutral genes in primitive cotton accessions: I. Genetic variances and correlations. Crop Sci 38:1425–1428

    Article  Google Scholar 

  • McCarty JC, Jenkins JN, Zhu J (1998b) Introgression of day-neutral genes in primitive cotton accessions: II. Predicted genetic effects. Crop Sci 38:1428–1431

    Article  Google Scholar 

  • McCarty JC, Jenkins JN, Wu J (2003) Use of primitive accessions of cotton as sources of genes for improving yield components and fiber properties. Mississippi Agric & For Exp Stn Bull 1130

  • McCarty JC, Jenkins JN, Wu J (2004a) Primitive accession germplasm by cultivar crosses as sources for cotton improvement: I: phenotypic values and variance components. Crop Sci 44:1226–1230

    Article  Google Scholar 

  • McCarty JC, Jenkins JN, Wu J (2004b) Primitive accession germplasm by cultivar crosses as sources for cotton improvement: II. Genetic effects and genotypic values. Crop Sci 44:1231–1235

    Article  Google Scholar 

  • McCarty JC, Jenkins JN, Wu J (2005a) Potential of primitive accessions for cotton improvement. Mississippi Agric & For Exp Stn Bull 1141

  • McCarty JC, Wu J, Jenkins JN, Mo X (2005b) Evaluating American and China cotton cultivars and their crosses for improvement. Cotton Sci (China) 17(1):47–55

    Google Scholar 

  • McCarty JC, Wu J, Jenkins JN (2006) Genetic diversity for agronomic and fiber traits in day-neutral accessions derived from primitive cotton germplasm. Euphytica 148:283–293

    Article  Google Scholar 

  • Melchinger AE, Singh M, Link W, Utz HF, von Kittlitz E (1994) Heterosis and gene effects of multiplicative characters: theoretical relationships and experimental results from Vicia faba L. Theor Appl Genet 88:343–348

    Article  Google Scholar 

  • Meredith WR (1990) Yield and fiber-quality potential for second generation hybrids. Crop Sci 30:1045–1048

    Article  Google Scholar 

  • Miller RG (1974) The jackknife: a review. Biometrika 61:1–15

    Google Scholar 

  • Percival AE (1987) The national collection of Gossypium germplasm. Southern Cooperative Series Bulletin 321

  • Percival AE, Kohel RJ (1990) Distribution, collection, and evaluation of Gossypium. Adv Agron 44:225–256

    Article  Google Scholar 

  • Piepho HP (1995) A simple procedure for yield component analysis. Euphytica 84:43–48

    Article  Google Scholar 

  • Samonte SOP, Wilson LT, McClung AM (1998) Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Sci 38:1130–1136

    Article  Google Scholar 

  • Sparnaajj LD, Bos I (1993) Components analysis of complex characters in plant breeding I. Proposed method for qualifying the relative contribution of individual components to variation of the complex characters. Euphytica 70:225–235

    Article  Google Scholar 

  • Swindle MG (1993) Performance of F2 hybrids in cotton from crosses of exotic germplasm and cultivars. M.S. Thesis, Mississippi State Univ., Mississippi State, MS

  • Tang B, Jenkins JN, Watson CE, McCarty JC, Creech RG (1996) Evaluation of Genetic variances, heritabilities, and correlations for yield and fiber traits among cotton F2 hybrid populations. Euphytica 91:315–322

    Article  Google Scholar 

  • Wen Y, Zhu J (2005) Multivariable conditional analysis for complex trait and its components. Acta Genetica Sinica 32(3):289–296

    PubMed  Google Scholar 

  • Worley S, Culp TW, Harrell DC (1974) The relative contributions of yield components to lint yield of upland cotton, Gossypium hirsutum L. Euphytica 23:399–403

    Article  Google Scholar 

  • Wright S (1920) The relative importance of heredity and environment in determining the piebald pattern of guinea-pigs. Proc Natl Acad Sci USA 6:320–332

    Article  PubMed  CAS  Google Scholar 

  • Wu J, Zhu J, Fu X, Ji D (1995) Analysis of genetic effect by environment interactions for yield traits in upland cotton (Chinese). Heredita 17(5):1–4

    Google Scholar 

  • Wu J, Zhu J, Jenkins JN (2003) Mixed linear model approaches in quantitative genetic models (book chapter). In: Kang (ed) Books of Formulars, software, and techniques for genetics and breeders. The Haworth Reference Press Inc., New York

  • Wu J, Jenkins JN, McCarty JC, Zhu J (2004) Genetic association of yield with its component traits in a recombinant inbred line population of cotton. Euphytica 140:171–179

    Article  Google Scholar 

  • Wu J, Wu D, Jenkins JN, McCarty JC (2006a) A recursive approach to detect multivariable conditional variance components and conditional random effects. Comp Stat Data Ana 50:285–300

    Article  Google Scholar 

  • Wu J, Jenkins JN, McCarty JC, Wu D (2006b) Variance component estimation using the additive, dominance, and additive × additive model when genotypes vary across environments. Crop Sci 46:174–179

    Article  Google Scholar 

  • Xiao B, Zhu J, Lu X, Li Y, Bai Y (2005) Genetic analysis for chemical constituents in flue-cured tobacco (Nicotiana tabacum L.). Acta Agronomic Sinica 31:1157–1161

    Google Scholar 

  • Xu Z, Zhu J (1999) A new approach for predicting heterosis based on an additive, dominance and additive × additive model with environment interaction. J Hered 82:510–517

    Article  Google Scholar 

  • Zhu J (1989) Estimation of genetic variance components in the general mixed model. Ph.D. Dissertation, North Carolina State University, Raleigh (Diss abstract. DA 8924291)

  • Zhu J (1993) Methods of predicting genotype value and heterosis for offspring of hybrids. J Biomath (Chinese) 8(1):32–44

    Google Scholar 

  • Zhu J (1994) General genetic models and new analysis methods for quantitative traits (Chinese). J Zhejiang Agric Univ 20:551–559

    Google Scholar 

  • Zhu J (1995) Analysis of conditional effects and variance components in developmental genetics. Genetics 141:1633–1699

    PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Crop Science Research Laboratory, USDA-ARS, P.O. Box 5367, Mississippi State, MS, 39762, USA

    Jack C. McCarty & Johnie N. Jenkins

  2. Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, 39762, USA

    Jixiang Wu

Authors
  1. Jack C. McCarty
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jixiang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Johnie N. Jenkins
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jack C. McCarty.

Additional information

Contribution of the USDA-ARS in cooperation with the Mississippi Agric. and Forestry Exp. Stn. Mention of trademark, proprietary product, or vendor does not constitute a guarantee or warranty of the product by USDA, ARS and does not imply its approval to the exclusion of other products or vendors that may also be suitable.

Rights and permissions

Reprints and permissions

About this article

Cite this article

McCarty, J.C., Wu, J. & Jenkins, J.N. Genetic association of cotton yield with its component traits in derived primitive accessions crossed by elite upland cultivars using the conditional ADAA genetic model. Euphytica 161, 337–352 (2008). https://doi.org/10.1007/s10681-007-9562-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-007-9562-8

Keywords

Search

Navigation