Genetic Variability and Physico-Chemical Basis of Resistance in Sorghum to Shoot Fly, Atherigona soccata Mohammed Riyazaddin1,2, Are Ashok Kumar1, Polavarapu.

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Genetic Variability and Physico-Chemical Basis of Resistance in Sorghum to Shoot Fly, Atherigona soccata Mohammed Riyazaddin1,2, Are Ashok Kumar1, Polavarapu B. Kavi Kishor2 and Hari C. Sharma1 1International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru- 502 324, Hyderabad, Telangana, India. 2Department of Genetics, Osmania University, Hyderabad-500 007, Telangana, India. INTRODUCTION Table 2 Amounts of flvonoids (µg/100 mg of sorghum plant sample) in different sorghum genotypes showing resistance/susceptibility to sorghum shoot fly, A. soccata (ICRISAT, Patancheru, 2012-13). Flavonoid standard Retention time ICSB 433 ICSV 700 Phule Yashoda Maulee Phule Chitra PS 35805 M 35-1 IS 2123 IS 2146 CSV 15 ICSV 25019 ICSV 25022 ICSV 93046 IS 18551 Swarna 3, 4-dihydroxy benzoic acid 3.9 5.9 0.0 47.0 10.6 42.6 11.1 5.8 4.4 9.6 Naringin 5.1 128.4 220.8 202.8 193.0 146.5 227.5 189.0 258.9 154.0 Vanillic acid 26.0 10.4 51.2 99.3 185.0 63.1 38.4 Ferulic acid 17.5 31.8 28.2 13.6 87.9 332.1 Kaempferol 20.9 103.9 153.2 85.7 78.5 133.1 74.3 106.8 26.7 157.7 112.6 52.4 66.2 Syringic acid 22.2 8.9 7.4 15.6 14.9 10.3 18.8 38.2 22.3 394.8 Salicylic acid 39.8 78.1 35.4 110.5 35.0 65.1 Sorghum [Sorghum bicolor (L.) Moench] is an important food and feed crop in the semi-arid tropics (SAT). Sorghum is damaged by over 150 insect species, of which sorghum shoot fly, Atherigona soccata (Diptera: Muscidae), is one of the major constraints to increase the productivity of sorghum (Sharma 1993) (Fig. 1). It causes an estimated loss of about $274 million in the SAT (Sharma 2006). Host plant resistance (HPR) is one of the most effective means of keeping shoot fly populations below economic threshold levels. All the three mechanisms viz., antixenosis, antibiosis, and recovery resistance confer resistance to shoot fly in sorghum (Sharma and Nwanze 1997, Riyazaddin et al. 2015). Selecting parents with diverse mechanisms of resistance is an important step in developing shoot fly resistant sorghums. Therefore, we characterized a diverse array of sorghum genotypes for morphological, biochemical traits, and genetic diversity using SSR markers to identify lines with different combinations of traits associated with resistance to shoot fly, A. soccata for use in sorghum improvement. MATERIALS AND METHODS To identify sorghum genotypes with diverse mechanisms of resistance, and the factors associated with shoot fly, A. soccata resistance, we evaluated 30 sorghum genotypes for resistance to this insect under field conditions using interlard fishmeal technique (Sharma et al. 1992) (Fig. 2.). Data were recorded on shoot fly damage and morphological and agronomic traits of the sorghum genotypes. The glass house sown test genotypes were sampled at 12-14 days after seedling emergence for DNA to measure genetic diversity, and biochemical components of the sorghum genotypes. The diversity analysis based on unweighted pair group method with arithmetic mean (UPGMA) placed the test genotypes into three major groups (Fig. 4), suggesting the existence of considerable genetic diversity in the test material used. The genotypes placed in different groups can be effectively used to increase the genetic basis of resistance to shoot fly, A. soccata. Fig. 3 Evaluation of biochemical components of sorghum genotypes exhibiting resistance/susceptibility to shoot fly, A. soccata. R; resistant check, S; susceptible check. RESULTS There were significant differences between the genotypes for deadheart formation and egg laying ( p ≤ 0.01). The genotypes Phule Yashoda, Maulee, Phule Anuradha, IS 2312, Phule Vasudha, and RVRT 2 showed resistance to shoot fly and also exhibited high grain yield potential during the postrainy season (Table 1). ICSB 433, ICSV 700, ICSV 25019, ICSV 25022, ICSV 25026, ICSV 25039, PS 35805, Akola Kranti, and IS 18551 exhibited antixenosis for oviposition and antibiosis against A. soccata. Fig. 4 Dendrogram showing the distance (dissimilarity) between the genotypes: UPGMA (Unweighted Pair Group Method with Arithmetic Mean). Table 1 Expression of resistance to sorghum shoot fly, A. soccata in sorghum (ICRISAT, Patancheru, 2011-12). Genotype Number of shoot fly eggs/ 100 plants Plants with shoot fly eggs (%) Shoot fly deadhearts (%) Overall resistance score Grain yield (t/ha) 2011 PRS 2012 RS 2011 PRS ICSB 433 31.7 216.9 23.1 94.2 10.3 74.3 6.7 3.5 2.0 4.0 ICSV 700 22.3 206.9 21.4 99.2 12.9 74.6 5.0 3.0 2.8 2.3 Phule Yashoda 39.3 222.1 29.8 99.1 15.1 84.0 4.3 6.0 5.3 3.1 Maulee 27.0 242.7 24.3 14.4 86.7 4.7 3.7 1.8 Phule Anuradha 22.6 207.5 20.7 11.8 91.1 3.6 ICSV 25019 17.5 218.5 14.2 93.8 54.6 5.2 1.5 ICSV 25022 15.5 198.1 13.7 7.7 77.8 3.3 2.9 ICSV 25026 18.6 182.6 14.3 98.5 5.1 68.6 2.7 3.2 ICSV 25039 12.0 202.1 11.2 95.0 0.9 57.7 2.4 1.9 PS 35805 12.6 191.6 11.0 95.2 4.4 45.5 4.8 1.6 1.4 IS 2312 196.3 8.6 98.4 84.4 Akola Kranti 26.6 224.0 24.0 97.4 9.1 72.6 6.5 2.5 Phule Vasudha 33.4 208.3 91.8 81.2 7.0 IS 18551 (R) 20.1 265.6 17.4 97.5 7.1 76.0 4.2 2.6 Swarna (S) 102.7 215.5 55.8 100.0 58.3 98.3 8.0 9.0 RVRT 2 36.5 204.0 26.2 15.0 83.2 Mean 32.5 218.81 26.40 97.86 16.92 78.96 4.46 5.36 2.2 Vr (58,29) 9.62** 1.13 11.37** 2.17** 10.61** 5.41** 7.30** 9.16** - LSD (p ≤ 0.05) 20.11 NS 12.86 4.44 13.25 15.11 1.43 1.62 ** F test significant at p 0.01, R: resistant check, S: susceptible check, RS: rainy season, PRS: postrainy season, NS: non-significant F value, Overall resistance score: 1-9 ranking with 1 = plants with uniform tillers and harvestable panicles, 9 = plants with a few or no productive tillers. CONCLUSIONS The genotypes exhibiting resistance to shoot fly, A. soccata can be used in breeding the shoot fly-resistant sorghums. HPLC fingerprints for naringin, ferulic acid, kaempferol, syringic acid and salicylic acid can be used as markers to select shoot fly-resistant sorghums. Information on molecular and biochemical diversity can be used for selecting genotypes for increasing the levels and diversifying the basis of resistance to shoot fly in sorghum for sustainable crop production. REFERENCES Most of the shoot fly-resistant genotypes had high amounts of tannins, polyphenols and proteins when compared to the susceptible genotype (Fig. 3). The phenolic compounds kaempferol and salicylic acid were present in the shoot fly-resistant genotypes, but absent in the susceptible check, Swarna (Table 2). 3, 4-dihydroxy benzoic acid amounts were high in the susceptible check, Swarna, but it was absent in the resistant check, IS 18551. The shoot fly-resistant genotypes ICSB 433, ICSV 700, Phule Yashoda, Maulee, Phule Chitra, Phule Anuradha, ICSV 705, ICSV 93046 and RVRT 2 had similar HPLC fingerprints as the resistant check, IS 18551. Riyazaddin Md, Kavi Kishor PB, Ashok Kumar A, Belum Reddy VS, Rajendra SM and Sharma HC (2015) Mechanisms and diversity of resistance to sorghum shoot fly, Atherigona soccata. Plant Breed. 134(4):423-436. Sharma HC, Taneja SL, Leuschner K and Nwanze KF (1992) Techniques to Screen Sorghums for Resistance to Insects. Information Bulletin no. 32. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India. pp 48. Sharma HC (1993) Host-Plant Resistance to insects in sorghum and its role in integrated pest management. Crop Prot. 12:11-34. Sharma HC and Nwanze KF (1997) Mechanisms of Resistance to Insects in Sorghum and Their Usefulness in Crop Improvement. Information Bulletin no. 45. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India. pp 51. Sharma HC (2006) Integrated pest management research at ICRISAT: Present status and future priorities. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India. pp 48. Egg Deadheart Sorghum shoot fly Fig. 1 Shoot fly deadheart bearing an egg under surface of the leaf Inset: Sorghum shoot fly, Atherigona soccata Fig. 2 Interlard fish meal technique ACKNOWLEDGEMENTS We are thankful to the sorghum entomology technical staff for their help in carrying out the field experiments and Bill and Melinda Gates foundation for their financial support through HOPE-Sorghum and Millet project. For more information, please write to: Dr. Hari C. Sharma, Principal Scientist – Entomology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru-502 324, Telangana, India. E-mail: h.sharma@cgiar.org November 2015