Resistance Potential to Powdery Mildew (Microsphaera diffusa Cooke and Peck) of Several Yellow and Black Soybean (Glycine max (L.) Merr) Genotypes

Abstract

Powdery mildew caused by Microsphaera diffusa has recently received more attention because of yield losses caused by the disease and has even been reported as a limiting factor on soybean production in a certain soybean plantation areas. The aim of the research was to examine resistance potential of several yellow and black soybean genotypes in order to develop powdery mildew-resistant soybean varieties. The experiment was conducted in rainy season of 2013 at the Ciparanje Experimental Station, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, West Java, using a Randomized Block Design with 61 soybean genotypes as treatments that replicated two times. Each genotype was planted in plot (5 m long) consisted of 25 plants from which 6 plants per plot were sampled randomly. The disease intensity and soybean yield were assessed. The result showed that 15 genotypes were not infected by the disease, namely UP-104, UP-106, UP-108, UP-111, UP-112, UP-113, UP-114, UP-125, UP-127, UP-130, UP-136, UP-137, Argomulyo, Arjasari and Mintani, whereas other 46 genotypes were infected with the highest disease intensity of around 40%. Genotypes showing resistance potential are considered as a potential source of resistance genes that valuable in the disease-resistant soybean breeding.

 

Keywords: Soybean; resistance; powdery mildew; Microsphaera diffusa

References
[1] FAOSTAT. 2014. Rankings of Food and Agricultural Commodities Production.

[2] Badan Pusat Statistik Republik Indonesia. 2014. Produksi Ubi Jalar Indonesia.

[3] Jusuf, M., Rahayuningsih St. A., Ginting E. 2008. Ubi Jalar Ungu. Warta Penelitian dan Pengembangan Pertanian 30 (4): 13-14.

[4] Agrios, G.N., 2005. Plant Pathology. 5th ed. Academic Press, New York.

[5] Ramsey, M.D., Vawdrey L. L., Hardy J. 1988. Scab (Sphaceloma batatas) a New Disease of Sweet Potato in Australia; Fungicide and Cultivar Evaluation. Aust. Journal Exper. Agric. 28 (1): 137-141.

[6] Jackson, G. V. H., McKenzie E. H. C. 1991. Sweet Potato Scab. South Pacific Commission Cataloguing.

[7] Powell, W., Morgante M., Andre C., Hanafey M., Vogel J., Tingey S., Rafalski A. 1996. The Comparison of RFLP, RAPD, AFLP, and SSR (Microsatellite) Markers for Germplasm Analysis. Molecular Breeding 2 (3): 225-238.

[8] Bilotte N., Lagoda P. J. L., Risterucci A. M., Baurens F. C. 1999. Microsatellite-Enriched Libraries: Applied Methodology for the Development of SSR Markers in Tropical Crops. Fruits 54: 277-288.

[9] Ashkani, S., Rafii M. Y., Rusli I., Sariah M., Abdullah S. N. A., Rahim H. A., Latif M. A. 2011. SSRs for Marker-Assisted Selection for Blast Resistance in Rice (Oryza sativa L.). Plant Mol Biol Rep doi: 10.1007/s11105-011-0315-4.

[10] Roosda, A. A. 2014. Evaluasi F1 Polycross Ubi Jalar (Ipomoea batatas (L.) Lam) Jingga dan Seleksi Marka Simple Sequence Repeats (SSR) terkait Karakter Ketahanan terhadap Penyakit Kudis. Tesis Program Magister Agronomi Fakultas Pertanian Universitas Padjadjaran.

[11] Widiantini, F., Roosda A. A., Waluyo B., Yulia E., Karuniawan A. 2014. Evaluation of sweetpotato polycross F1 genotypes resistances against scab disease (Sphaceloma batatas Saw.). The International Conference on Pre-breeding and Gene Discovery. Bogor, 11-13 August 2014.

[12] Doyle, J.J., Doyle J. L. 1987. A rapid DNA Isolation from Small Amount of Fresh Leaf Tissue. Phytochem Bull 19:11-15.

[13] Gabriel, K. R. 1971. The Biplot Graphic Display of Matrices with Application to Principal Component Analysis. Biometrika 58 (3): 453-467.

[14] Mohan, M., Nair S., Bhagwat A. 1997. Genome Mapping, Molecular Markers and Marker-Assisted Selection in Crop Plants. Mol. Breed. 3: 87-103.

[15] Tang, S. X., Kishore V. K., Knapp S. J. 2003. PCR Multiplexes for a Genome-Wide Framework of Simple Sequence Repeat Marker Loci in Cultivated Sunflower. Theor. Appl. Genet. 107: 6-19.

[16] Elrod, S., Stansfield W. 2007. Genetika. (Damaring Tyas W. Pentj). Jakarta: Erlangga.

[17] Sharma, A., Namdeo A. G., Mahadik K. R. 2008. Molecular Markers: New Prospects in Plant Genome Analysis. Pharmacognosy Reviews 2 (3): 23- 31.

[18] Zhou, W-C., Kolb F. L., Bai G-H, Domier L. L., Boze L. K., Smith N. J. 2003. Validation of a Major QTL for Scab Resistance with SSR Markers and Use of Marker-Assisted Selection in Wheat. Plant Breeding 122 (1): 40-46.

[19] Haji-allahverdipoor, K., Bahramnejad B., Amini J. 2011. Selection of Molecular Markers Associated with Resistance to Fusarium Wilt Disease in Chickpea (Cicer arietinum L.) Using Multivariate Statistical Techniques. Australian Journal of Crop Science 5 (13): 1801-1809.

[20] O’Rourke, N., Hatcher L., Stepanski E. J. 2005. Principal Component Analysis. In A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics. Page 429-481. SAS Institute Inc., Cary, NC, USA.