Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-25T06:06:32.876Z Has data issue: false hasContentIssue false
  • English
  • Français

A Design and Methods of Analysis to Monitor Crop Growth Conditions Illustrated with Sorghum Screening Trails for Resistance to Striga†

Published online by Cambridge University Press:  03 October 2008

B. Gilliver ,
M. J. Vasudeva Rao  and
P. Venkateswarlu
B. Gilliver
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO 502 324, AP, India
M. J. Vasudeva Rao
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO 502 324, AP, India
P. Venkateswarlu
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO 502 324, AP, India
Get access Rights & Permissions [Opens in a new window]

Summary

Checker-board field layouts are used to screen sorghum genotypes for resistance to Striga. A systematic check entry is used to monitor crop growth conditions and methods to analyse the results are assessed.

Type
Research Article
Information
Experimental Agriculture , Volume 21 , Issue 3 , July 1985 , pp. 233 - 240
Copyright
Copyright © Cambridge University Press 1985

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

REFERENCES

Bartlett, M. S. (1978). Nearest neighbour models in the analysis of field experiments. Journal of the Royal Statistical Society B 40:147–174.Google Scholar
Kang, B. T. & Moormann, F. R. (1977). Effect of some biological factors on soil variability in the tropics I. Effect of pre-clearing vegetation. Plant and Soil 47:441–449.CrossRefGoogle Scholar
Kempton, R. A. & Howes, C. W. (1981). The use of neighbouring plot values in the analysis of variety trials. Applied Statistics. Journal of the Royal Statistical Society (Series C) 30:59–70.Google Scholar
Papadakis, J. A. (1937). Methode statistique pour des expériences de champ. Bulletin Scientifique de l'Institut d'Amelioration des Plantes, Salonique (Grèce) No. 23.Google Scholar
Pearce, S. C. & Moore, C. S. (1976). Reduction of experimental error in perennial crops, using adjustment by neighbouring plots. Experimental Agriculture 12:267–272.CrossRefGoogle Scholar
Ramaiah, K. V., Parker, C, Vasudeva Rao, M. J. & Musselman, L. J. (1983). Striga identification and control handbook. Information Bulletin No. 15, 36–39. Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics.Google Scholar
Sprent, P. (1955). A note on design and analysis of soil insecticide experiments. Biometrics 11:427–430.CrossRefGoogle Scholar
Van der Reyden, D. (1954). Design and analysis of soil insecticide field experiments. Biometrics 10:291–297.CrossRefGoogle Scholar
Vasudeva Rao, M. J., Chidley, V. L., Ramaiah, K. V. & House, L. R. (1983). Breeding sorghums resistant to Striga asiatica L. Kuntze at the ICRISAT Center. Proceedings of the 2nd International Striga Workshop, Ougadougou, Upper Volta5–8 Oct. 1981,61–76.Google Scholar
Yates, F. (1936). A new method of arranging variety trials involving a large number of varieties. Journal of Agricultural Science, Cambridge 24:424–455.CrossRefGoogle Scholar