Genotype × Environment Interaction and Grain Yield Stability in Chinese Hybrid Rice
Abstract
Multi-environment testing helps to identify stable genotypes. The objective of this study was to evaluate Chinese hybrid rice varieties for their grain yield and yield stability at different environments. The multilocation rice evaluation trials were conducted during summer seasons of 2017 and 2018 at five different environments, namely, Hardinath (Dhanusha), Kabre (Dolakha), Parwanipur (Bara), Khumaltar (Lalitpur) and Dhakaltar (Tanahun) in Nepal. Four hybrid rice varieties namely LPNBR1618, LPNBR1615, LPNBR1628 and LPNBR1632 (Standard check variety) were evaluated in a randomized complete block design with four replications in each location. The results indicated a significant (p<0.05) variation in grain yield among the genotypes at Hardinath, Khumaltar, and Kabre whereas they were non-significant for grain yield at Dhakaltar and Parwanipur. The combined analysis of variance indicated significant (p<0.05) effects of environment and genotype × environment (G x E) interactions on grain yield. The pooled data over locations and years showed that LPNBR1632 produced the highest grain yield (7.5 tons/ ha) followed by LPNBR 1618 (6.3 tons/ ha) in terai region (Hardinath and Parwanipur). Similarly, LPNBR1618 gave the highest grain yield (10.3 tons/ ha) followed by LPNBR1615 (9.5 tons/ ha) in mid hills region (Kabre, Khumaltar and Lumle). The genotypes LPNBR1615 (b=1.13), LPNBR1618 (b=1.19) and LPNBR1628 (b=1.15) had more than unity regression indicating the genotype’s suitability towards favorable environments. GGE biplot showed genotype LPNBR1615 was stable genotype among all genotypes. This study suggests that LPNBR 1615 can be grown for higher grain yield production in terai and mid hills of Nepal.References
Acuna TLB, Lafitte HR, Wade LJ. 2008. Genotype and environment interactions for grain yield of upland rice backcross lines in diverse hydrological environments. Field Crops Research 108: 117-125.
Bhurer KP, Yadav DN, Ladha JK, Thapa RB, Pandey KR. 2013. Efficacy of various herbicides to control weeds in dry direct seeded rice (Oryza sativa L.). Global Journal of Biology: Agriculture and Health Sciences 2(4): 205-212.
Blanche SB, Utomo HS, Wenefrida I, Myers GO. 2009. Genotype × environment interactions of hybrid and varietal rice cultivars for grain yield and milling quality. Crop Science 49: 2011-2018.
Byerlee D.1996. Knowledge-Intensive Crop Management Technologies: Concepts, Impacts, and Prospects in Asian Agriculture. International Rice Research Conference, Bangkok, 3-5 June 1996.
Dingkuhn M, Luquet D, Kim H, Tambour L, ClementVidal A. 2006. Ecomeristem, a model of morphogenesis and competition among sinks in rice. Simulating genotype responses to phosphorus deficiency. Functional Plant Biology 33: 325-337.
Eberhart SA, Russell WA. 1966. Stability parameters for comparing varieties. Crop Science 6 (1): 36-40.
Emani C, Jiang Y, Miro B, Hall TC, Kohli A.2008. Transgenic Cereals and Forage Grasses. In: Kole C, Hall TC (Eds.), Compendium of Transgenic Crop Plants, 1-234.
Finlay KW, Wilkinson GN. 1963. The analysis of adaptation in a plant breeding programme. Australian Journal of Agricultural Research 14: 742-754.
Gomez KA, Gomez AA. 1984. Statistical Procedures for Agricultural Research. 2nd ed. John Wiley and Sons, NY, U.S.A.
Huang M, Tang Q, AO H, Zou Y. 2017. Yield potential and stability in super hybrid rice and its production strategies. Journal of Integrative Agriculture 16 (5): 1009-1017
IRRI. (2019). Hybrid rice. Retrieved July 4, 2019, from https://www.irri.org/hybrid-rice
Jiang SH, Zhou H, Lin DZ, Dong YJ, Ye SH, Zhang XM. 2013. Identification and Gene Mapping of a Thermo-Sensitive Leaf-Color Mutant at Seedling Stage in Rice. Chinese Journal of Rice Science 27: 359-364.
Khadka D, Lamichhane S, Bhurer KP, Chaudhary JN, Ali MF, Lakhe L.2018. Soil Fertility Assessment and Mapping of Regional Agricultural Research Station, Parwanipur, Bara, Nepal. Journal of Nepal Agricultural Research Council, 4: 33-47.
Krishi Diary. 2019. Krishi Diary 2079. Government of Nepal. Ministry of Agriculture and Livestock Development, Kathmandu, Nepal.
Marahatta S. 2017. Increasing productivity of an intensive rice based system through site specific nutrient management in western terai of Nepal. The Journal of Agriculture and Environment 18: 140-150
Messina C, Hammer G, Dong Z, Podlich D, Cooper M.2009. Modelling crop improvement in a G×E×M framework via gene-trait-phenotype relationships. In: Sadras VO, Calderini D (Eds.) Crop physiology: Applications for Genetic Improvement and Agronomy. Elsevier, Netherlands, 235-265 p.
NARC. 2018a. Annual Report (2017/18) of Nepal Agricultural Research Council (NARC), National Rice Research Program, Hardinath, Dhanusha, Nepal
NARC. 2018b. Annual Report (2017/18) of Nepal Agricultural Research Council (NARC), Hill Crops Research Program, Kabre, Dolakha, Nepal
NARC. 2018c. Annual Report (2017/18) of Nepal Agricultural Research Council (NARC), Agronomy Botany Division, Khumaltar, Lalitpur, Nepal
NARC. 2018d. Annual Report (2017/18) of Nepal Agricultural Research Council (NARC), Regional Agricultural Research Station, Lumle, Kaski, Nepal
NARC. 2018e. Annual Report (2017/18) of Nepal Agricultural Research Council (NARC), Regional Agricultural Research Station, Parwanipur, Bara, Nepal
Nassir AL, Ariyo OJ. 2007. Multivariate analysis of variation of field planted upland rice (Oryza sativa L.) in a tropical habitat. Malaysian Applied Biology 36: 47-57.
Pacheco A, Vargas M, Alvarado G, RodrÃguez F, López M, Crossa J, Burgueño J. 2015. User’s Manual GEA-R (Genotype by Environment Analysis with R). "GEA-R (Genotype x Environment Analysis with R for Windows) Version 4.1", hdl:11529/10203, CIMMYT Research Data & Software Repository Network, V16
Paranthaman R, Alagusundaram K, Indhumathi J. 2009. Production of Protease from Rice Mill Wastes by Aspergillus niger in Solid State Fermentation. World Journal of Agricultural Sciences 5: 308-312.
Payne R, Murray DA, Harding SA, Baird DB, Soutar DM. 2009. Genstat for Windows (12th Edition) Introduction, VSN International, Hemel Hempstead, UK, 2009.
Saied ZF. 2010. Survey of adaptation of thirty rice (Oryza sativa L.) genotypes to west Guilan climatic conditions-Astara. Journal of Crop Ecophysiology 4(15): 111–126.
Salim M, Akram M, Akhtar ME, Ashraf M. 2003. Rice: A Production Hand Book. Pakistan Agricultural Research Council, Islamabad, 70.
Samonte SOP, Wilson LT, McClung AM, Medley JC. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science 45: 2414-2424.
Samonte SOP, Wilson LT, McClung AM. 1998. Path Analyses of Yield and Yield-Related Traits of Fifteen Diverse Rice Genotypes. Crop Science 38: 1130-1136.
Sharifi P, Aminpanah H, Erfani R, Mohaddesi A, Abbasian A. 2017. Evaluation of Genotype × Environment Interaction in Rice Based on AMMI Model in Iran. Rice Science 24(3):173-180.
Shrestha J, Tripathi MP. 2015. Grain yield stability of quality protein maize genotypes across diverse environments of terai and mid hills in Nepal. International Journal of Agriculture System 2(2): 113-118.
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. Net Journal of Agricultural Science 1(1): 10–16.
Virmani SS. 2003. Advances in hybrid rice research and development in the tropics: Hybrid rice for food security, poverty alleviation and environmental protection. Proceedings of the 4th International Symposium on Hybrid Rice, May 14-17, 2003, International Rice Research Institute, Hanoi, Vietnam Los Banos Philippines, pp: 2-20.
Wade LJ, McLaren CG, Quintana L, Harnpichitvitaya D, Rajatasereekul S. 1999. Genotype by environment interactions across diverse rainfed lowland rice environments. Field Crops Research 64: 35-50.
Downloads
Published
Issue
Section
License
From Volume 7 (2016) onwards, all articles published in Ruhuna Journal of Science are Open Access articles published under the Creative Commons CC BY-NC 4.0 International License. This License permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Copyright on any research article published in RJS is retained by the respective author(s).
Authors who publish with this journal agree to the following terms:
a) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC-BY-NC 4.0 International, that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
b) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
c) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
