Genotype by Environment for Grain Yield of Salt tolerance Rice Genotypes in Coastal Saline Area

Nafisah Nafisah Nafisah, Zairin Zairin, Satoto Satoto, Ali Jamil, Priatna Sasmita

Abstract


Multi-environment experiment could reveal the performance and adaptation of the advanced breeding lines for specific or general environment. The objective of the present investigation was to analyze the pattern of Genotype x Environment (G x E) interaction for grain yield of 67 genotypes by Additive Main effects and Multiplicative Interaction (AMMI) model using the data generated from observational yield trial in three different coastal rice environment in Indonesia including one site in coastal of Eretan, Indramayu (West Java) and two sites in the coastal area of Mataram, West Nusatenggara during dry season of 2009. In each location, the experiment was arranged in a randomized complete block design with three replications, 5m2 plot size and 20 cm x 20 cm of planting space. Standard management practices for irrigation field were followed for all trials. The results showed the highly significant genotypic and G x E interaction. The genotype x environment (GxE) interaction influenced the relative ranking of the genotypes across environment. Genotype 62(IR76397-2B-6-1-1-1-1), G3(IR58427-5B-15), G61(IR76393-2B-7-1-1-3-1), G19 (IR73055-8-1-1-3-1), G26 (IR 77674-3B-8-2-2-14-1-AJY5), G38(IR77674-3B-8-2-2-14-2-AJY4), G35(IR77674-3B-8-1-3-13-2-AJY2), G44(IR68144-2B-2-2-3-3), and G53(IR72593-B-18-2-2-2) produced higher yield compared to the overall mean, and showed low G x E interaction effect with low ASV (AMMI’s Stability Value) score presented the high yield genotype with high adaptability compared to the checks. G23(IR77674-B-20-1-2-1-3-6-4-AJY1,8.39 t/ha), G25 (IR 77674-3B-8-2-2-12-5-AJY2, 8.11 t/ha), G24(IR77674-3B-8-2-2-8-3-AJY4, 8.32 t/ha), G18(IR72049-B-R-22-3-1-1, 8.78 t/ha), produced high yield and indicated suitable for Eretan environment. Both the stable genotypes and the specific adaptation genotypes with the highest average yield compared to the checks will be further evaluated in prelimenary yieid trials in the several environments with the bigger size plot.


Keywords


salinity; rice; grain yield; Genotype x Environment

Full Text:

PDF

References


Alake, C.O dan O.J. Ariyo. 2012. Comparative Analysis of Genotype x Environment Interaction Techniques in West African Okra, (Abelmoschus caillei, A. Chev Stevels). Journal of Agricultural Science Vol. 4( 4):135-150

BB Padi, 2015. Deskripsi Varietas Padi. Data Base Plasma Nufah Padi. Balai Besar Penelitian Tanaman Padi. Unpublished.

BPS, 2015. Badan Pusat Statistik. http://www.bps.go.id/linkTabelStatis/view/id/1284, date of access : 14 Mei 2015.

Crossa J, Fox PN, Pfeffer WH, Rajaran S, Gauch HG (1991). AMMI adjustment for statistical analysis of an international wheat trial. Theor Appl Genet 81:27-37

Das, S.; Misra, R.C.; Patnaik, M.C.; Das, S.R. 2010. G×E interaction, adaptability and yield stability of mid-early rice genotypes. The Indian Journal of Agricultural Research 44: 104-111.

Departemen of Agriculture West Nusatenggara. 2008. Data Base Pengelolaan Lahan dan Air Diperta Propnsi NTB. Unpublished

Duarte, J.B.; Vencovsky, R. 1999. Genotype × environment interaction: an introduction to AMMI analysis = Interação genótipos × ambientes: uma introdução à análise AMMI. Sociedade Brasileira de Genética, Ribeirão Preto, SP, Brazil (in Portuguese).

Farshadfar, E, N. Mahmodi, A.Yaghotipoor 2011. AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.) AJCS 5(13):1837-1844 (2011) ISSN:1835-2707

Gauch, H. G. & Zobel, R. W. (1996). AMMI analysis of yield trails. In: Genotype by environment interaction. Kang, M. S. and Gauch, H. G. Jr. (eds) p.85-122. http://dx.doi.org/10.1201/9781420049374.ch4

Gregorio. 1997. Tagging salinity tolerance genes in rice using Amplified fragment length polymorphism (AFLP). Disertasi. University of the Philippines. Los Banos. 118 pages Gregorio

Khush, G.S., 1997. Origin, dispersal, cultivation and variation of rice. Plant Mol. Biol. 35: 25-34

Las, I. 2007. Menyiasati Fenomena Anomali Iklim bagi Pemantapan Produksi Padi. Nasional pada Era Revolusi Hijau Lestari. Jurnal Biotek-LIPI. Naskah Orasi Pengukuhan Profesor Riset Badan Litbang Pertanian, Bogor, 6 Agustus 2004.

Mori, I.K., Kinoshita, T., 1987. Salt tolerance of rice callus clones. Rice Genetics Newsletter, 4: 112-113.

Muthuramu, S., S Jebaraj and M Gnanasekaran 2011. AMMI Biplot Analysis for Drought Tolerance in Rice (Oryza sativa L.). Research Journal of Agricultural Sciences 2011, 2(1): 98-100

Oliveira, Eder Jorge de, Juan Paulo Xavier de Freitas, Onildo Nunes de Jesus. 2014. AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties Scientia Agricola Sci. Agric. v.71, n.2, p.139-145, March/April 2014

Purchase, J.L.; Hatting, H.; Vandeventer, C.S. 2000. Genotype × environment interaction of winter wheat (Triticum aestivumL.) in South Africa. II. Stability analysis of yield performance. South African Journal of Plant and Soil 17: 101-107.

Rocha, M.M.; Freire Filho, F.R.; Ribeiro, V.Q.; Carvalho, H.W.L.; Belarmino Filho, J.; Raposo, J.A.A.; Alcântara, J.P.; Ramos, S.R.R.; Machado, C.F. 2007. Yield adaptability and stability of semi-erect cowpea genotypes in the Brazil Northeast Region. Pesquisa Agropecuária Brasileira 42: 1283-1289 (in Portuguese, with abstract in English).

Sabouri, H., Sabouri. A., 2009. New evidence of QTLs attributed to salinity tolerance in rice. Afr. J. Biotech. 7: 4376-4383.

Samonte, S. O. PB, L.T. Wilson, A.M. McClung, and J. C. Medley. 2005. Targeting Cultivars onto Rice Growing Environments Using AMMI and SREG GGE Biplot Analyses. Crop Sci 45:2414-2424.doi:10.2135/cropsci2004.0627

Shaw, R.J. 2001. Soil salinity, electrical conductivity and chloride. In Soil Analysis: an interpretation manual. Kenneth Ian Peverill, L. A. Sparrow, Douglas J. Reuter eds. Pp:129-146.CSIRO publishing. Collingwood. Australia.

Sholihin, 2015. Stability of Cassava Promising Clones Based on Additive Main. Effect and Multiplicative Interaction (AMMI) Model Conference and Exhibition Indonesia - New, Renewable Energy and Energy Conservation. The 3rd Indo-EBTKE ConEx 2014. Energy Procedia 65 ( 2015 ) 337 – 343

Sudana, W. 2005. Potensi dan Prospek Lahan Rawa Sbagai Sumber Produksi Pertanian. Jurnal Analisis Kebijakan Pertanian. Volume 3 (2). 141-151 pp.

Sumertajaya, I Made. 2007. Analisis statistik interaksi genotipe dengan lingkungan departemen statistika. Fakultas Matematika dan Ipa, Institut Pertanian Bogor. 33 hal

Yan, W., and I. Rajcan. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 33:355. Crop Sci. 42:11–20.

Zobel, R. W., Wright, M. J. & Gauch, H. G. Jnr. (1988). Statistical analysis of a yield trial. Agronomy Journal, 80, 388-393.http://dx.doi.org/10.2134/agronj1988.




DOI: http://dx.doi.org/10.21082/jpptp.v4n1.2020.p9-16

Refbacks

  • There are currently no refbacks.




Copyright (c) 2020 Jurnal Penelitian Pertanian Tanaman Pangan

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


P-ISSN: 2541-5166
E-ISSN: 2541-5174
Accredited No.148/M/KPT/2020 by Kemenristek/BRIN


Jurnal Penelitian Pertanian Tanaman Pangan has been indexed by:

       


Editorial Office

Jurnal Penelitian Pertanian Tanaman Pangan

Pusat Penelitian dan Pengembangan Tanaman Pangan
Jln Merdeka no. 147, Bogor 16111, Indonesia
Phone/Fax.: +62-251-8312755 
E-mail: publikasi_puslitbangtan@litbang.pertanian.go.id
Website: http://pangan.litbang.pertanian.go.id

View My Stats