Genotype × environment interaction, and stability analysis in lowland rice promising genotypes
Paper Details
Genotype × environment interaction, and stability analysis in lowland rice promising genotypes
Abstract
This assessing of genotype × environment interaction is one important step for accurate rice promising genotypes evaluation in large multi-environment trials. In this study, ten rice promising genotypes and two Indonesian rice varieties were grown in nsix environments during 2011 plant season to determine the grain yield stability and adaptability. The experiment used randomized complete block design with three replications. Yield stability and adaptability of yield performance were analyzed by using coefficient regression (bi), general mean of yield and deviation of regression by Finlay-Wilkinson and Eberhart-Russell method and other parameters of stability and AMMI model. From the current study, it is concluded that among rice promising genotypes that identified superior performance genotypes i.e. IPB 107-F-5-1-1, IPB 115-F-3-2-1, IPB 116-F-44-1-1, IPB 116-F-46-1-1, IPB 117-F-4-1-1, and IPB 149-F-8-1-1 were stable for two or more stability parameters and combination with high yield potential. Further analysis based on YSi only select four of the above genotypes i.e, IPB 115-F-3-2-1, IPB 116-F-44-1-1, IPB 117-F-4-1-1, and IPB 149-F-8-1-1, that could be recommended to farmers based on their performance of stability and high yield potential during selection. Based on AMMI biplot analysis, genotypes IPB 116-F-3-1-1, IPB 116-F-46-1-1, IPB 116-F-44-1-1and IPB 149-F-8-1-1 were more stable and have minimal interaction with environment. Whereas, genotypes IPB 117-F-4-1-1 and IPB 107-F-5-1-1 was gave indication to adapt at specific environmental condition.
Allard RW, AD Bradshaw. 1964. Implications of genotype environment interactions in applied plant breeding. Crop Science 4, 503–508.
Ariyo OJ. 1998. Use of additive main effects and multiplicative interaction model to analyse multilocation soybean varietal trials. Journal of Genetics and Breeding 53, 129-134.
Ariyo OJ, Ayo-Vaughan MA. 2000. Analysis of genotype x environment interaction of okra (Abelmoschus esculentus (L) Moench). Journal of Genetics and Breeding 54, 33-40.
Berzsenyi Z, Dang QL. 2008. Effect of various crop production factors on the yield and yield stability of maize in a long-term experiment. Cereal Research and Community 36, 167-176.
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.
Bradshaw AD. 1965. Evolutionary significance of phenotypic plasticity in plants. Advance Genetic 13, 115-155.
Crossa J, Fox PN, Pfeiffer WH, Rajaram S, Gauch HG. 1991. AMMI adjustment for statistical analysis of an international wheat yield trial. Theoretical and Applied Genetics 81, 27-37.
Das S, Misra RC, Patnaik MC, Das SR. 2010. GxE Interaction, Adaptability, and Yield Stability of Mid-Early Rice Genotypes. Indian Journal of Agricultural Research 44(2), 104 – 111.
De Cauwer I, Ortiz R. 1998. Analysis of the genotype x environment interaction in Musa trials. Experimental Agronomy 34, 117-188.
Dingkuhn M, Luquet D, Kim H, Tambour L, Clement-Vidal A. 2006. EcoMeristem, a model of morphogenesis and competition among sinks in rice. 2. 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, 36-40.
Finlay W, Wilkinson GW. 1963. The analysis of adaptation in a plant breeding programme. Journal of Agricultural Research 14, 742-754.
Francis TR, Kannenberg LW. 1978. Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Canadian Journal of Plant Sciences 58, 1029-1034.
Grafius JE. 1956. Components of yield in oats: A geometrical interpretation. Agronomy Journal 48, 419-423.
Hu Q, Buyanovsky G. 2003. Climate effects on corn yield in Missouri. Journal of Applied Meteorology 42, 1626-1635.
Haji HM, Hunt IA. 1999. Genotype x environment interactions and underlying environmental factors for winter wheat in Ontario. Canadian Journal of Plant Sciences 79, 49-505.
Jusuf M, Rahayuningsih SA, Wahyuni TS, Restuono J. 2008. Adaptasi dan stabilitas hasil klon harapan ubi jalar. Jurnal Penelitian Pertanian Tanaman Pangan 27, 37-41.
Kang MS. 1993. Simultaneous selection for yield and stability in crop performance trials: consequences for growers. Agronomy Journal 85, 754-757.
Kulsum MU, Hasan MJ, Akter A, Rahman H, Biswas P. 2013. Genotype-environment interaction and stability analysis in hybrid rice: an application of additive main effects and multiplicative interaction. Bangladesh Journal of Botany 42(1), 73-81.
Lestari AP, Abdullah B, Junaedi A, Aswidinnoor H. 2010. Yield Stability and Adaptability of Aromatic New Plant Type (NPT) Rice Lines. Jurnal Agronomi Indonesia 38(3), 199 – 204.
Lin CS, Binns MR, Lefkovitch LP. 1986. Stability analysis: where do we stand? Crop Science 26, 894-900.
Lone AA, Sofi PA, Warsi MZ, Wani SH. 2009. Stability analysis in maize (Zea mays L.) for anthesissilking interval and grain yield. Maize Genetics Cooperation Newsletter 83, 1-9.
Luthra OP, RK Singh, SN Kakar. 1974. The stability of the twelve genotypes was evaluated. Theory and Applied Genetics 45, 143-149.
McLaren CG, Chaudhary C. 1994. Use of additive main effects and multiplicative interaction models to analyse multilocation rice variety trials. Paper presented at the FCSSP Conference, Puerton Princesa, Palawan, Philippines.
Messina C, Hammer G, Dong Z, Podlich D, Cooper M. 2009. Modelling crop improvement in a GxExM framework via gene-trait-phenotype relationships. In: Sadras, V.O., Calderini, D. (Eds.), Crop physiology: Applications for Genetic Improvement and Agronomy. Elsevier, Netherlands, 235-265 p.
Mosavi AA, Jelodar NB, Kazemitabar K. 2013. Environmental Responses and Stability Analysis for Grain Yield of Some Rice Genotypes. World Applied Sciences Journal 21(1), 105-108.
Reddy JN, Chaudhary D. 1991. Stability for grain yield and its components in rice. Oryza 28, 295-299.
Samonte OPB, 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.
Shukla GK. 1972. Some statistical aspects of partitioning genotype environmental components of variability. Heredity 29, 237–245.
Singh NK, Sharma VK, Jha PB. 1995. GxE interaction for grain yield and related traits in Indica rice. Journal Research (BAU) 5, 121-125.
Sreedhar S, Dayakar TR, Ramesha MS. 2011. Genotype x Environment Interaction and Stability for Yield and Its Components in Hybrid Rice Cultivars (Oryza sativa L.). Intlenational Journal of Plant Breeding and Genetics 5(3), 194-208.
Taye G, Getachew T, Bejiga G. 2000. AMMI adjustment for yield estimate and classifications of genotypes and environments in field pea (Pisum sativum L.). Journal Genetics and Breeding 54, 183-191.
Wade LJ, Mc Laren CG, Quintana L. 1999. Genotype by environment interactions across diverse rainfed lowland rice environments. Field Crops Reserach. 64, 35–50.
Wricke G. 1962. Uber eine methode zur refassung der okologischen streu bretite in feldversuchen. Pflanzenzuchtg 47, 92-96.
Yates F, Cochran WG. 1938. The analysis of groups of experiments. Journal Agricultural Science 28, 556-580.
Yan W, Hunt LA. 2001. Interpretation of genotype x environment interaction for winter wheat yield in Ontario. Crop Science 41, 19-25.
Zobel RW, Wright MJ, Gauch HG. 1988. Statistical analysis of yield trials. Agronomy Journal 80, 338-393.
Azri Kusuma Dewi, M. Ahmad Chozin, Hermanu Triwidodo, Hajrial Aswidinnoor (2014), Genotype × environment interaction, and stability analysis in lowland rice promising genotypes; IJAAR, V5, N5, November, P74-84
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