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| Evaluation of stability and yield potential of upland rice genotypes in North and Northeast Thailand |
| Wasan Jaruchai, Tidarat Monkham, Sompong Chankaew, Bhalang Suriharn, Jirawat Sanitchon |
| Department of Plant Science and Agricultural Resources, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand |
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Abstract The planting of upland rice is one cropping option in area with limited water availability and low soil fertility in North and Northeast Thailand. The varietal selection was determined by grain yield potential, wide adaptation, and good stability. This study was aimed at evaluation of indigenous upland rice germplasm for yield and yield stability in multi-locations. Thirty-six upland rice genotypes collected from six provinces of the North and Northeast Thailand and one check variety (Sewmaejan) were assessed under five locations in the rainy seasons of 2009 and 2010. The experiment was laid out in a randomized complete block design with three replications. The genotype grain yield was highly affected by location (59.90%), followed by genotypes (G)×location (L) interaction (12.80%) and genotype (6.79%). The most suitable location for the genotype evaluation was L3 (Khon Kaen-KKU10) which associated with stability of grain yield for all genotypes. Furthermore, biplot and regression analysis indicated that genotype numbers 6 (Jaowmong 1), 10 (Neawmong 1), 18 (Neawdum 1), 19 (Leamna), 20 (Prayaleamkang), 32 (Kunwang 2), and 33 (Kunwang 3) showed great yield stability over five locations. The genotypes will be applicant for upland rice production area and parental base in breeding program.
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Received: 06 December 2016
Accepted:
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| Fund: This research was supported by the Plant Breeding Research Centre for Sustainable Agriculture and Research Center of Agricultural Biotechnology for Sustainable Economy, Khon Kaen University, Thailand. |
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Corresponding Authors:
Correspondence Jirawat Sanitchon, Mobile: +66-81-5674364, Tel: +66-43-202360, Fax: +66-43-202361, E-mail: jirawat@kku.ac.th
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Cite this article:
Wasan Jaruchai, Tidarat Monkham, Sompong Chankaew, Bhalang Suriharn, Jirawat Sanitchon.
2018.
Evaluation of stability and yield potential of upland rice genotypes in North and Northeast Thailand. Journal of Integrative Agriculture, 17(01): 28-36.
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| Acuña T L B, Lafitte H R, Wade L J. 2008. Genotype×environment interactions for grain yield of upland rice backcross lines in diverse hydrological environments. Field Crops Research, 108, 117–125.Akter A, Hassan J, Kulsum U, Islam M R, Hossain K, Rahman M. 2014. AMMI biplot analysis for stability of grain yield in hybrid rice (Oryza sativa L.). Rice Research Journals, 2, 126.Alam A M, Somta P, Jompuk C, Chatwachirawong P, Srinives P. 2014. Evaluation of mungbean genotypes based on yield stability and reaction to mungbean yellow mosaic virus disease. The Plant Pathology Journal, 30, 261–268.Asenjo C A, Bezus R, Acciaresi H A. 2003. Genotype-environment interactions in rice (Oryza sativa L.) in temperate region using the Joint Regression Analysis and AMMI methods. Cereal Research Communications, 31, 97–104.Balestre M, dos Santos V B, Soares A A, Reis M S. 2010. Stability and adaptability of upland rice genotypes. Crop Breeding and Applied Biotechnology, 10, 357–363.Bell R W, Seng V. 2004. Rainfed lowland rice-growing soils of Cambodia, Laos, and Northeast Thailand. In: Seng V, Craswell E, Fukai S, Fischer K, eds., Water in Agriculture. ACIAR Proceedings No. 116. Australian Centre for International Agricultural Research, Canberra, Australia. pp. 161–173.Bernier J, Atlin G N, Serraj R, Kumar A, Spaner D. 2008. Breeding upland rice for drought resistance. Journal of the Science of Food and Agriculture, 88, 927–939.Bernier J, Kumar A, Ramaiah V, Spaner D, Atlin G. 2007. A large-effect QTL for grain yield under reproductive-stage drought stress in upland rice. Crop Science, 47, 507–516.Bonman J M. 1992. Durable resistance to rice blast disease - Environmental influences. Breeding for Disease Resistance, 1, 115–123.Bose L K, Nagaraju M, Singh O N. 2012. Genotype×environment interaction and stability analysis of lowland rice genotypes. Journal of Agricultural Sciences, 57, 1–8.Bouman B A M, Peng S, Castañeda A R, Visperas R M. 2005. Yield and water use of irrigated tropical aerobic rice systems. Agricultural Water Management, 74, 87–105.Courtois B, McLaren G, Sinha P K, Prasad K, Yadav R, Shen L. 2000. Mapping QTLs associated with drought avoidance in upland rice. Molecular Breeding, 6, 55–66.Crews-Meyer K A. 2004. Agricultural landscape change and stability in Northeast Thailand: Historical patch-level analysis. Agriculture, Ecosystems and Environment, 101, 155–169.Eberhart S A, Russell W A. 1966. Stability parameter for comparing varieties. Crop Science, 6, 36–40.Fan X, Kang M S, Chen H, Zhang Y, Tan J, Xu C. 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal, 99, 220–228.Fukuoka S, Okuno K. 2001. QTL analysis and mapping of pi21, a recessive gene for field resistance to rice blast in Japanese upland rice. Theoretical and Applied Genetics, 103, 185–190. Gauch H G, Piepho H P, Annicchiarico P. 2008. Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science, 48, 866–889.Gollob H F. 1968. A statistical model which combine features of factor analytic and analysis of variance techniques. Psychometrika, 33, 73–114.IRRI (International Rice Research Institute). 1998. World Rice Statistics. Los Baños, Laguna, Philippines.Lakew T, Tariku S, Alem T, Bitew M. 2014. Agronomic performances and stability analysis of upland rice genotypes in North West Ethiopia. International Journal of Scientific and Research Publications, 4, 1–9.Liang S, Ren G, Liu J, Zhao X, Zhou M, McNeil D, Ye G. 2015. Genotype-by-environment interaction is important for grain yield in irrigated lowland rice. Field Crops Research, 180, 90–99.Lv T T, Sun X, Zhang D, Xue Z, Gong J. 2008. Assessment of soil erosion risk in Northern Thailand. In: The International Archives of The Photogrammetry, Remote Sensing and Spatial Information Sciences. Part B8, 3. ISPRS (International Society for Photogrammetry and Remote Sensing), Beijing. pp. 703–708. Mohammadi R, Haghparast R, Amri A, Ceccarelli S. 2009. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop and Pasture Science, 61, 92–101.Mongkolsawat C, Paiboonsak S, Chanket U. 2006. Soil erosion in northeast Thailand: A spatial modeling. In: The Proceedings of International 93 Conference on Space Technology and Geo-Informatics. Pattaya City, Chonburi province, Thailand. pp. 5–8.Naveed M, Nadeem M, Islam N. 2007. AMMI analysis of some upland cotton genotypes for yield stability in different milieus. World Journal of Agricultural Sciences, 3, 39–44.Oikeh S O, Nwilene F E, Agunbiade T A, Oladimeji O, Ajayi O, Mande S, Tsunematsu H, Samejima H. 2008. Growing Upland Rice: A Production Handbook. Africa Rice Center, Benin. p. 40.Onofri A, Ciricifolo E. 2007. Using R to perform the AMMI analysis on agriculture variety trials. The Newsletter of the R Project for Statistical Computing, 7, 1.Panomtarinichigul M. 2006. Research on sustainable hill farming in Northern Thailand. In: International Conference on Challenges to Interdisciplinary Collaborative Research Institute of Ethnology. Academia Sinica, Taipei, Taiwan of China.Price A H, Steele K A, Gorham J, Bridges J M, Moore B J, Evans J L, Richardson P, Jones R G W. 2002. Upland rice grown in soil-filled chambers and exposed to contrasting water-deficit regimes I. Root distribution, water use and plant water status. Field Crops Research, 76, 11–24. Saito K, Azoma K, Sokei Y. 2010. Genotypic adaptation of rice to lowland hydrology in West Africa. Field Crops Research, 119, 290–298.Samonte S O P B, Wilson L T, McClung A M, Medley J C. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science, 45, 2414–2424.Shrestha S, Asch F, Dusserre J, Ramanantsoanirina A, Brueck H. 2012. Climate effects on yield components as affected by genotypic responses to variable environmental conditions in upland rice systems at different altitudes. Field Crops Research, 134, 216–228.Tao H, Brueck H, Dittert K, Kreye C, Lin S, Sattelmacher B. 2006. Growth and yield formation of ricez (Oryza sativa L.) in the water-saving ground cover rice production system (GCRPS). Field Crops Research, 95, 1–12.Tariku S, Lakew T, Bitew M, Asfaw M. 2013. Genotype by environment interaction and grain yield stability analysis of rice (Oryza sativa L.) genotypes evaluated in north western Ethiopia. Netherlands Journal of Agricultural Science, 1, 10–16.Tuhina-Khatun M, Hanafi M M, Yusop M R, Wong M Y, Salleh F M, Ferdous J. 2015. Genetic variation, heritability, and diversity analysis of upland rice (Oryza sativa L.) genotypes based on quantitative traits. BioMed Research International, 2015, 1–7. Tuong T P, Bouman B A M. 2003. Rice production in water scarce environments. In: Kijne J W, Barker R, Molden D, eds., Water Productivity in Agriculture: Limits and Opportunities for Improvement. CAB International, Wallingford, UK.Vityakon P, Meepech S, Cadisch G, Toomsan B. 2000. Soil organic matter and nitrogen transformation mediated by plant residues of different qualities in sandy acid upland and paddy soils. Netherlands Journal of Agricultural Science, 48, 75–90.Wade L J, McLaren C G, Quintana L, Harnpichitvitaya D, Rajatasereekul S, Sarawgi A K, Kumar A, Ahmed H U, Sarwoto, Singh A K, Rodriguez R, Siopongco J, Sarkarung S. 1999. Genotype by environment interactions across diverse rainfed lowland rice environments. Field Crops Research, 64, 35–50.Xing Y, Tan Y, Hua J, Sun X, Xu C, Zhang Q. 2002. Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theoretical and Applied Genetics, 105, 248–257.Yan W, Hunt L A, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40, 597–605.Yan W, Kang M S, Ma B, Woods S, Cornelius P L. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47, 641–653. Yoshida S, Parao F T. 1976. Climatic influence on yield and yield components of lowland rice in the topics. In: Climate and Rice. International Rice Research Institute, Philippines. pp. 471–794. |
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