Main Article Content
Field experiments were carried out at Dinajpur, Nilphamari and Faridpur from July, 2017 to March, 2018 to evaluate the performance of native land races of rice viz., Chinigura, Kataribhog, Radhunipagol, Badshabhog, Kalozira, Uknimadhu, Dudshar, Salna, Shitabhog and Zirashail to assess G x E interaction against five quantitative characters, plant height (cm), productive tillers/hill, 1000-grain weight (g), grain yield/m2 and days to maturity, and three qualitative characters, proline (%) as µmol/g fresh weight, aroma from green leaves and cooked rice. The field experiment was conducted in Randomized Complete Block Design with three replications. The highest grain yield (390.25 g/m2) was obtained from Radhunipagol at Dinajpur. Next to Radhunipagol, Kataribhog produced higher grain yield (350.00 g/m2) which was significantly higher than that of Nilphamari and Faridpur but Radhunipagol was suited both for Dinajpur and Nilphamari. The cultivar, Kalozira was adapted to three locations as reflected by its regression coefficient very close to unity (b=0.92) and deviation from the coefficient estimated very near to zero (s2d=0.16). Maximum proline was estimated (18.7 µmol/g fresh weight) from Chinigura cultivated at Dinajpur. The proline (%) estimated average from Kalozira at three locations and the range varied from 14.00 -15.90 µmol/g fresh weight. Dinajpur appeared as the best and Faridpur as an unfavorable location for local aromatic rice cultivars. Since, aroma was assessed through sensory method the maximum aroma was assessed from Chinigura under Dinajpur but its content gradually decreased at Nilphamari and Faridpur. The aroma assessed from cooked rice ranged from 7.05-8.90 over three locations but maximum aroma was assessed under Dinajpur. Chinigura, Radhunipagol and Kataribhog found suitable for Dinajpur, and Kalozira and Badshabhog might suggest cultivating over the locations of Bangladesh.
Rana MK, Bhat KV. A comparison of AFLP and RAPD markers for genetic diversity and cultivar identification in cotton. J. Pl. Biochem. Biotech. 2004;13:19-24.
Cornelious BK, Sneller CH. Yield and molecular diversity of soybean lines derived from crosses of Northern and Southern elite parents. Crop Sci. 2002;42: 642-647.
Woodworth CM. Breeding for yield in crop plants. J. American Soc. Agron. 1978;23: 388-395.
Franke OH. Analytical yield investigation on New Zealand wheat. II. Five years’ analytical variety trials. J. Agric. Sci. Canberra. 1935;25:466-509.
Adams MW. Basis of yield components compensation in crop plants with special reference to the field bean, Phaseolus vulgaris. Crop Sci. 1967;7:505-510.
Falconer DS, Mackay TFC. Introduction to quantitative genetics. 4. Ed. London: Longman. 1996;464.
Resende MDV. Genética Quantitativa e de Populações. Suprema, Visconde do Rio Branco; 2015.
Robertson A. The sampling variance of the genetic correlation coefficient. Biometrics. 1959;15:469-485.
Resende MDV. Matemática e estatística na análise de experimentos e no melhoramento genético. Embrapa Florestas, Colombo. 2007;561.
Eeuwijk FA, Bustos-Korts DV, Malosetti M. What should students in plant breeding know about the statistical aspects of genotype x environment interactions? Crop Sci. 2016;56(5):2119-2140.
Eberhart ST, Russell WA. Stability parameters for comparing varieties 1. Crop Sci. 1966;6(1):36-40.
Horna JD, Smale Ma, Von Oppen M. Farmer willingness to pay for seed-related information: Rice varieties in Nigeria and Benin. Washington DC. International Food Policy Research Institute (IFPRI), EPT Discussion. 2005;142.
Nanda SJ. Rice breeding and genetics. Science Publishers, New York, USA; 2000.
Bergman CJ, Bhattcharya K, Ohtsubo K. Rice end-use quality analysis. In: Champagne, E.T. (Ed.). Rice Chemistry and Technology. American Association of Cereal Chemists C, St. Paul, Minnesota, USA. 2004;24-26.
Bates LS, Waldren RP, Teare ID. Rapid determination of free proline for water-stress studies. Pl. Soil. 1973;39(1):205-207.
Sood BC, Siddiq EA. A rapid technique for scent determination in rice [India]. Indian J. Genet. Pl. Breed. 1978;38(2):268-271.
Hien NL, Yoshihashi T, Sarhadi WA, Hirata Y. Sensory test for aroma and quantitative analysis of 2-acetyl-1-pyrroline in Asian aromatic rice varieties. Pl. Product. Sci. 2006;9(3):294-297.
Shrestha S, Asch F, Dusserre J, Ramanantsoanirina A, Brueck H. Climate effects on yield components as affected by genotypic responses to variable environmental conditions in upland rice systems at different altitudes. Field Crops Res. 2012;134:216–228.
Kang MS. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agron. J. 1993;85:754–757.
Tariku S, Taddesse L, Bitew M, Asfaw M. Genotype by environment interaction and grain yield stability analysis of rice (Oryza sativa L.) genotypes evaluated in North Western Ethiopia. Net. J. Agric. Sci. 2013;1:10–16.
Islam M, Sarke MRA, Sharma N, Rahman MA, Collard BCY, Gregorio GB, et al. Assessment of adaptability of recently released salt tolerant rice varieties in coastal regions of South Bangladesh. Field Crops Res. 2015;190:34–43.
Balakrishnan D, Subrahmanyam D, Badri J, Raju AK, Rao YV, Beerelli K, Babu VR. Genotype x environment interactions of yield traits in backcross introgression lines derived from Oryza sativa cv. Swarna/ Oryza nivara. Front. Pl. Sci. 2016;7:1530.
Hegde S, Vidyachandra B. Yield stability analysis of rice hybrids. Int. Rice Res. Notes. 1998;23:1-4.
Mc Laren CG, Wade LJ. G x E interaction in yield components and their relationship with phenology drought tolerance and grain yield in rainfed lowland rice. In Souvenir on the Rainfed Lowland Drought Workshop. Int. Rice Research Institute, Manila, Philippines. 2000;5.
Kishore K, Singh NK, Kumar N, Thakur R. Genotype x environment interaction and stability analysis for grain yields some associated traits in boro rice. Oryza. 2002;39:12-14.
Nayak AR, Chaudhary D, Reddy JN. Stability analysis for yield and yield components in scented rice. Oryza. 2003;40:1-4.
Arumugam M, Rajanna MP, Vidyachandra B. Stability of rice genotypes for yield and yield components over extended dates of sowing under Cauvery command area in Karnataka. Oryza. 2007;44:104-107.
Panwar LL, Joshi VN, Mashiat Ali. Genotype x environment interaction in scented rice. Oryza. 2008;45:103-109.
Sreedhar S, Dayakar Reddy T, Ramesha MS. Genotype X environment interaction and stability for yield and its components in hybrid rice cultivars (Oryza sativa L.). Int. J. Pl. Breed. Genet. 2011;5:194-208.
Swapna K, Vanisree S, Raju CS, Sreedhar M. Genotype× environment interaction and stability for yield and quality characters in rice (Oryza sativa L.). Madras Agril. J. 2014;101(1/3):21-27.
Falconer DS, Mackey TFC. Introduction to quantitative genetics, 4th Edn. Harlow: Addison-Wesley Longman; 1996.
Gauch GH, Zobel RW. “AMMI analysis of yield trials,” in genotype by environment interaction. Eds M. S. Kang and H. G. Gauch (Boca Raton, FL: CRC Press). 1996;85–122.
Cooper M, Rajatasereekul S, Immark S, Fukai S, Basnayake J. Rainfed lowland rice breeding strategies for northeast Thailand. I. Genotypic variation and genotype × environment interactions for grain yield. Field Crops Res. 1999;64:131–151.
Wade LJ, McLaren CG, Quintana L, Harnpichitvitaya D, Rajatasereekul S, Sarawgi AK. Genotype by environment interactions across diverse rainfed lowland rice environments. Field Crops Res. 1999;64:35–50.
Ouk M, Basnayake J, Tsubo M, Fukai S, Fischer KS, Kang S. Genotype-by-environment interactions for grain yield associated with water availability at flowering in rainfed lowland rice. Field Crops Res. 2007;101:145–154.
Anandan A, Eswaran R, Sabesan T, Prakash M. Additive main effects and multiplicative interactions analysis of yield performances in rice genotypes under coastal saline environments. Adv. Biol. Res. 2009;3:43–47.
Kumar A, Verulkar SB, Mandal NP, Variar M, Shukla VD, Dwivedi JL, et al. High-yielding, drought-tolerant, stable rice genotypes for the shallow rainfed lowland drought-prone ecosystem. Field Crops Res. 2012;133:37–47.
Liang S, Ren G, Liu J, Zhao X, Zhou M, McNeil D, et al. Genotype-by-environment interaction is important for grain yield in irrigated lowland rice. Field Crops Res. 2015;180:90–99.
Katsura K, Tsujimoto Y, Oda M, Matsushima K, Inusah B, Dogbe W, et al. Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a flood plain ecosystem in West Africa. European J. Agron. 2016;73:152–159.
Yoshihashi T, Huong NTT, Inatomi H. Precursors of 2-acetyl-1-pyrroline, a potent flavor compound of an aromatic rice variety. J. Agril. Food Chem. 2002;50(7): 2001-2004.
Bradbury LM. Identification of the gene responsible for fragrance in rice and characterization of the enzyme transcribed from this gene and its homologs. Southern Cross University [email protected]; 2009.
Hare PD, Cress WA, Van Staden J. Dissecting the roles of osmolyte accumulation during stress. Pl. Cell Environ. 1998;21:535–53.
Naidu BP, Paleg LG, Aspinall D, Jennings AC, Jones GP. Amino acid and glycine betaine accumulation in cold-stressed wheat seedlings. Phytochem. 1991;30: 407–9.
Simonelli C, Galassi L, Cormegna M, Bianchi P. Chemical, physical, textural and sensory evaluation on Italian rice varieties. Universal J. Agril. Res. 2017;5(2):104-112.
Jamuna P. Physico-chemical and cooking properties of selected rice varieties. Acta Scit. Nutri. Health 3.3. 2019;23-30.
Sagum R, Arcot J. Effect of domestic processing methods on the starch, non-starch polysaccharides and in vitro starch and protein digestibility of three varieties of rice with varying levels of amylose. Food Chem. 2000;70:107-111.
Chrastil J. Protein-starch interactions in rice grains. Influence of storage onoryzenin and starch. J. Agril. Food Chem. 1992;38:1804-1809.
Yanjie X, Yining Y, Shuhong O, Xiaoliang D, Hui S, Shukun J, Shichen S, Jinsong B. Factors affecting sensory quality of cooked Japonica rice. J. Rice Sci. 2018;25(6):330-339.
Shamim F, Raza MA, Akhtar M. Grain quality attributes of new rice basmati lines of Pakistan. J. Appl. Agric. Biotech. 2017;2(1):37-47.