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Path Analysis of Red Rice (Oryza sativa L.) Competition by Cultivated Rice

Published online by Cambridge University Press:  12 June 2017

D. J. Pantone ,
J. B. Baker  and
P. W. Jordan
D. J. Pantone
Affiliation:
Dep. Plant Pathol. and Crop Physiol., Louisiana Agric. Exp. Stn., Louisiana State Univ. Agric. Ctr., Baton Rouge, LA 70803
J. B. Baker
Affiliation:
Dep. Plant Pathol. and Crop Physiol., Louisiana Agric. Exp. Stn., Louisiana State Univ. Agric. Ctr., Baton Rouge, LA 70803
P. W. Jordan
Affiliation:
Dep. Plant Pathol. and Crop Physiol., Louisiana Agric. Exp. Stn., Louisiana State Univ. Agric. Ctr., Baton Rouge, LA 70803
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Abstract

During 1985 to 1989, a series of field experiments were conducted at the Rice Research Station in Crowley, LA. Path analysis was employed to evaluate the competitive interaction between a weed (red rice) and cultivated rice (Mars). The path analysis quantified direct effects of red rice and Mars rice densities on the yield components (grain weight, percent filled florets, number of florets panicle−1, and panicles plant−1) of red rice and Mars rice. The model illustrated the direct and indirect effects of the yield components on fecundity and grain yield plant−1. The direct effects of Mars and red rice densities on panicles plant−1 and florets panicle−1 were always negative. In contrast, the effects of density on percent filled florets and grain weight varied from positive to negative and were relatively small, implying that they were determined primarily by density-independent factors. Path analysis indicated that the number of panicles plant−1 and florets panicle−1 were the most important yield components determining the responses of fecundity and grain yield to competition.

Keywords

Red rice, Oryza sativa #3 ORYSArice, Oryza sativa L.‘Mars'Correlation coefficient partitioningdirect effectsindirect effectsinterferencemodelingpath coefficientsregression analysisyield componentsweed competitionweed density
Type
Special Topics
Information
Weed Science , Volume 40 , Issue 2 , June 1992 , pp. 313 - 319
Copyright
Copyright © 1992 by the Weed Science Society of America 

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References

Literature Cited

1. Afifi, A. A. and Clark, V. 1984. Path analysis. Pages 235–237 in Computer-Aided Multivariate Analysis. Lifetime Learning Publications, Belmont, CA.Google Scholar
2. Board, J. E. and Peterson, M. L. 1980. Management decisions can reduce blanking in rice. Calif. Agric. 34:5–7.Google Scholar
3. Borikar, S. T., Shahane, T. G., Chopde, P. R. 1985. Character association and path analysis in sorghum. Acta Agron. Acad. Sci. Hung. 34:139–142.Google Scholar
4. Counce, P. A., Moldenhauer, K.A.K., and Marx, D. B. 1989. Rice yield and plant yield variability responses to equidistant spacing. Crop Sci. 29:175–179.Google Scholar
5. Counce, P. A. 1987. Asymptotic and parabolic yield and linear nutrient content responses to rice population density. Agron. J. 79:864–969.CrossRefGoogle Scholar
6. Dabholkar, A. R., Telang, S. W., and Patel, K. C. 1970. Path analysis of yield components in hybrid sorghum. Indian J. Genet. 30:625–629.Google Scholar
7. De Datta, S. K. 1981. Principles and Practices of Rice Production. John Wiley and Sons, New York. 618 pp.Google Scholar
8. Dewey, D. R. and Lu, K. H. 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agron. J. 51:515–518.Google Scholar
9. Draper, N. R. and Smith, H. 1981. Pages 265–266 in Applied Regression Analysis. 2nd ed. John Wiley and Sons, New York.Google Scholar
10. Duarte, R. A. and Adams, M. W. 1972. A path coefficient analysis of some yield component relationships in field beans (Phaseolus vulgaris). Crop Sci. 12:579–582.Google Scholar
11. Dunand, R. T. 1988. Red rice—Its impact on grain quality and its cultural control: A review of research in Louisiana, 1960–1982. Louisiana Agric. Exp. Sta. Bull. No. 792.Google Scholar
12. Farris, M. A. and Lechowicz, M. J. 1990. Functional interactions among traits that determine reproductive success in a native annual plant. Ecology 71:548–557.CrossRefGoogle Scholar
13. Hancock, J. F., Pritts, M. P., and Siefker, J. H. 1984. Yield components of strawberries maintained in ribbons and matted rows. Crop Res. 24:37–43.Google Scholar
14. Jones, D. B. and Snyder, G. H. 1987. Seeding rate and row spacing effects on yield and yield components of drill-seeded rice. Agron. J. 79:623–626.Google Scholar
15. Jordan, N. 1989. Path analysis of growth differences between weed and nonweed populations of Poorjoe (Diodia teres) in competition with soybean (Glycine max). Weed Sci. 37:129–136.Google Scholar
16. Karlsson, M. G., Pritts, M. P., and Heins, R. D. 1988. Path analysis of chrysanthemum growth and development. Hortscience 23:372–375.Google Scholar
17. Kim, Y. J. 1986. Analytical studies on rice yield components and yield in the southern region of Korea. HI. Variation in rice yield components and yield under different planting densities. Korean J. Crop Sci. 31:104–111.Google Scholar
18. Li, C. C. 1975. Path Analysis—A Primer. Boxwood Press, Pacific Grove, CA. 347 pp.Google Scholar
19. Loehlin, J. C. 1987. Latent Variable Models: An Introduction to Factor, Path and Structural Analysis. L. Erlbaum Associates, Hillsdale, NJ. 273 pp.Google Scholar
20. Milam, M. R. 1989. Rice seeding method and cultivar performance in a wheat-rice doublecrop system on the Macon Ridge. Louisiana Agric. 33:18–21.Google Scholar
21. Mitchell-Olds, T. 1987. Analysis of local variation in plant size. Ecology 68:82–87.Google Scholar
22. Munakata, K. 1976. Effects of temperature and light on the reproductive growth and ripening of rice. Pages 187–207 in Climate and Rice. Int. Rice Res. Inst., Los Baños, Philippines.Google Scholar
23. Navarro, M. A. 1985. Effect of stand density and composition on competition between red rice and the cultivar Mars under field conditions. M.S. Thesis, Louisiana State Univ., Baton Rouge.Google Scholar
24. Pantone, D. J. and Baker, J. B. 1991a. Reciprocal yield analysis of red rice (Oryza sativa) competition in cultivated rice. Weed Sci. 39:42–47.Google Scholar
25. Pantone, D. J. and Baker, J. B. 1991b. Weed-crop competition models and response-surface analysis of red rice (Oryza sativa L.) competition in cultivated rice: A review. Crop Sci. 31:1105–1110.CrossRefGoogle Scholar
26. Pantone, D. J., Baker, J. B., and Dunand, R. T. 1990. Impact of plant growth regulators and herbicides on jungle rice competition in rice. Proc. Southern Weed Sci Soc. 43:126.Google Scholar
27. Pantone, D. J., Williams, W. A., and Maggenti, A. R. 1989. An alternative approach for evaluating the efficacy of potential biocontrol agents of weeds. 2. Path analysis. Weed Sci. 37:778–783.Google Scholar
28. Pritts, M. P., Siefker, J. H., and Hancock, J. F. 1984. Yield component variation in wild and cultivated blueberries. Proc. Blueberry Res. Worker Conf. 5:30–37.Google Scholar
29. Pritts, M. P. and Hancock, J. F. 1985. Lifetime biomass partitioning and yield component relationships in the highbush blueberry, Vaccinium corymbosum L. (Ericaceae). Am. J. Bot. 72:446–452.Google Scholar
30. Puri, Y. P., Qualset, C. O., and Williams, W. A. 1982. Evaluation of yield components as selection criteria in barley breeding. Crop Sci. 22:927–931.Google Scholar
31. Ranalli, P., DiCandilo, M., Giordano, I., and Casarini, B. 1981. Correlation and path analysis in peas (Pisum sativum L.) for processing. Z. Pflanzenzuecht. 86:81–86.Google Scholar
32. Reddy, D. S. 1986. Effect of nitrogen and plant population on yield and yield components of Jaya rice under recommended irrigation practice. Madras Agric. J. 73:321–324.Google Scholar
33. Reuben, S.O.W.M. and Katuli, S. D. 1989. Path analysis of yield components and selected agronomic traits of upland rice breeding lines. Int. Rice Res. Newsl. 14:11–12.Google Scholar
34. Rostova, N. S. and Sedlovskii, A. I. 1986. Interrelation of yield components in different rice varieties in relation to growing conditions. Sel'skokhozyaistvennaya Biologiya 7:13–20.Google Scholar
35. SAS Institute. 1985. Pages 773–875 in SAS User's Guide: Statistics. Version 5 ed. SAS Inst, Inc., Cary, NC.Google Scholar
36. Schemske, D. W. and Horvitz, C. H. 1988. Plant-animal interaction and fruit production in a neotropical herb: a path analysis. Ecology 69:1128–1137.Google Scholar
37. Schnier, H. F., Dingkuhn, M., De Datta, S. K., Mengel, D., Winangco, E., and Javellana, C. 1990. Nitrogen economy and canopy carbon dioxide assimilation of tropical lowland rice. Agron. J. 82:451–459.Google Scholar
38. Siefker, J. H. and Hancock, J. F. 1986. Yield component interactions in cultivars of the highbush blueberry. J. Am. Soc. Hortic. Sci. 111:606–608.Google Scholar
39. Singh, R. P. and Baghel, S. S. 1977. Yield components and their implications to selection in sorghum. Indian J. Genet. 37:62–67.Google Scholar
40. Sokal, R. R. and Rohlf, F. J. 1981. Biometry. 2nd ed. W. H. Freeman, New York. Pages 642–661.Google Scholar
41. Wells, B. R. and Faw, W. F. 1978. Short-statured rice response to seeding and N rates. Agron. J. 70:477–480.Google Scholar
42. Williams, W. A., Jones, M. B., and Demment, M. W. 1990. A concise table for path analysis statistics. Agron. J. 82:1022–1024.Google Scholar
43. Wright, S. 1921. Correlation and causation. J. Agric. Res. 20:557–585.Google Scholar
44. Wright, S. 1934. The method of path coefficients. Ann. Math. Statistics 5:161–215.Google Scholar
45. Wu, S. Z., Huang, C. W., Wu, J. Q., and Zhong, Y. Q. 1987. Studies on varietal characteristics in cultivars of Oryza sativa. V. Correlation between genetic parameters of the main characters and selection in cultivars with good grain quality. Hereditas—China 9:4–8.Google Scholar
46. Yamada, N. 1961. On the relationship between yield and spacing in rice. Agric. Hortic. 36:311–316.Google Scholar
47. Yoshida, S. and Parao, F. T. 1976. Climatic influence on yield and yield components of lowland rice in the tropics. Pages 471–479 in Climate and rice. Int. Rice Res. Inst., Los Baños, Philippines.Google Scholar
48. Zeng, X. P. and Wang, L. X. 1988. A study on the genetic parameters for quantitative characters of high-yielding rice in Ningxia. Ningxia J. Agro-Forestry Sciences and Technol. 3:7–12.Google Scholar