ASSESSMENTS OF YIELD LOSSES DUE TO DOUBLE INFECTION OF RICE RAGGED STUNT VIRUS AND RICE GRASSY STUNT VIRUS AT DIFFERENT SEVERITY IN THE FIELD, YOGYAKARTA, INDONESIA

selvi helina, Sri Sulandari, Andi Trisyono, Sedyo Hartono

Abstract


Rice is the most important commodity in Indonesia. Double infection of Rice ragged stunt virus and Rice grassy stunt virus cause a large decrease in production. The information about yield loss is very necessary for the efforts of policy action, control, and decision making. This research aims to describe a yield losses assessments caused by the attack of double infection at different severity levels in Yogyakarta, Indonesia. Rice fields were observed during the three growing seasons and then observed attacks of double infection of virus based on differences in severity. Rice plant samples were taken to be analyzed using regression. The validity of the regression model was confirmed using residual analysis through the Histogram Standardized Regression Residual and Normal Probability Plots on standard residuals. The result showed that there was a relationship between crop damage to rice growth as indicated by linear regression. Similarly, the relationship between the severity of the disease and the loss of result was shown by linear regression with the equation y = 2.866x - 0.3004. Based on residual analysis of regression models indicated that the regression model used in this research was a 'good fit' to predict loss results caused by double infection of RRSV and RGSV. Analysis of regression showed that there is a very strong relationship between the parameters observed to yield loss where the higher the severity of the disease that occurred in rice plants, the higher the yield loss obtained.


Keywords


linear regression, Rice grassy stunt virus, Rice ragged stunt virus, yield loss

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References


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FAO. 1971. The state of food and agriculture 1971. FAO., Rome, Italy.

FAOSTAT. 2018. FAO Statistical pocketbook: World food and agriculture. FAO., Rome, Italy.

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Hibino, H. 1996. Biology and epidemiology of rice viruses. Annual review of phytopathology, 34: 249-274.

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Holthuis, L. B. 1980. The Food and Agriculture Organization species catalogue. The Food and Agriculture Organization.

James, W. C. 1974. Assessment of plant diseases and losses. Annual review of Phytopathology, 12: 27-48.

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Krishnaiah, N. 2014. A global perspective of rice brown plant hopper management III-Strategies for BPH management. Rice Genomics and Genetics, 5: 1-11.

Kusuma, A. F., S. Sulandari, S. Somowiyarjo and S. Hartono. 2018. Molecular diversity of rice ragged stunt Oryza virus in Java and Bali, Indonesia. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 55: 57–64.

Lin, C.-S., G. Poushinsky and M. Mauer. 1979. An examination of five sampling methods under random and clustered disease distributions using simulation. Canadian Journal of Plant Science, 59: 121-130.

Ling, K. 1972. Rice virus diseases. International Rice Research Institute.

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Reddy, A., D. Mackenzie, D. Rouse and A. Rao. 1979. Relationship of bacterial leaf blight severity to grain yield of rice. Phytopathology, 69: 967-969.

Reissig, W. 1985. Illustrated guide to integrated pest management in rice in tropical Asia. The International Rice Research Institute.

Richardson, M., M. Jacks and S. Smith. 1975. Assessment of loss caused by barley mildew using single tillers. Plant Pathology, 24: 21-26.

Savary, S., P. S. Teng, L. Willocquet and F. W. Nutter Jr. 2006. Quantification and modeling of crop losses: a review of purposes. Annual Review of Phytopathology, 44: 89-112.

Sellam, V. and E. Poovammal. 2016. Prediction of crop yield using regression analysis. Indian Journal of Science and Technology, 9: 1-5.

Singh, R. 1970. Studies on bacterial blight disease of Paddy: Part II-Assessment of losses and yield loss equation. Labdev Journal of Science and Technology: 47-48.

Suprihanto, S. S., S. Hartono and Y. Trisyono. 2015. Identification and molecular diversity of rice ragged stunt virus and rice grassy stunt virus in java, Indonesia. International Journal of Sciences: Basic and Applied Research, 24: 374-386.

Teng, P. 1983. Estimating and interpreting disease intensity and loss in commercial fields. Phytopathology, 73: 1587-1590.

Teng, P. and R. Gaunt. 1980. Modeling systems of disease and yield loss in cereals. Agricultural Systems, 6: 131-154.

Teng, P. S. 1987. Crop loss assessment and pest management. Aps Press. 270 p.

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y stunt virus RNA5 and RNA6 are only distantly related to the corresponding proteins of other members of the genus Tenuivirus. Journal of general virology, 78: 2355-2363.

Valencia, S. and O. Mochida. 1985. Rice whorl maggot (RWM) effect on yield loss. International Rice Research Newsletter (Philippines), 10: 30.

Wijaya, S. 2019. Indonesian food culture mapping: a starter contribution to promote Indonesian culinary tourism. Journal of Ethnic Foods, 6: 9.

Zadoks, J. C. and L. Koster. 1976. A historical survey of botanical epidemiology. A sketch of the development of ideas in ecological phytopathology. Veenman.54 p




DOI: https://doi.org/10.33866/phytopathol.030.02.0578

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