Biplot Analysis of Genotype by Environment for Cooking Quality in Hybrid Rice: A Tool for Line &times; Tester Data

Mohammad H. FOTOKIAN, Kayvan AGAHI

doi:10.1016/S1672-6308(13)60193-6

Rice Science >

2014 , Vol. 21 >Issue 5: 282 - 287

DOI: https://doi.org/10.1016/S1672-6308(13)60193-6

Research Paper

Biplot Analysis of Genotype by Environment for Cooking Quality in Hybrid Rice: A Tool for Line × Tester Data

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College of Agriculture, Shahed University, Tehran, Iran

Online published: 2014-07-26

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Abstract

A study of combining ability for improving rice cooking quality was carried out via genotype plus genotype × environment (GGE) biplot. Four restorer lines and three male sterile lines were used to obtain F1 in a line × tester trial at the Rice Research Institute, Amol, Iran in 2009. GGE biplot analysis showed that Neda and IR56 were the best general combiners for amylose content (AC), whereas Nemat and IR28 had the highest general combining ability (GCA) effects for gelatinization temperature (GT), and IR58 and IR59 showed the highest GCA effects in terms of gel consistency (GC). Meanwhile, IR58 and IR59 showed large specific combining ability (SCA) effects for AC, while Neda and SA13 had high SCA effects for GT. Nemat and IR28 had large SCA effects for GC. Because intermediate levels of AC, GT and GC are ideal, Nemat × IR59 was considered as the best possible cross. Based on these results, the GGE biplot showed good potential for identifying suitable parents, heterotic crosses and the best hybrids in line × tester data.

Key words： line ×; tester trial; general combining ability; specific combining ability; hybrid rice; genotype plus genotype ×; environment biplot

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Mohammad H. FOTOKIAN, Kayvan AGAHI . Biplot Analysis of Genotype by Environment for Cooking Quality in Hybrid Rice: A Tool for Line × Tester Data[J]. Rice Science, 2014 , 21(5) : 282 -287 . DOI: 10.1016/S1672-6308(13)60193-6

References

Cagampang G B, Perez C M, Juliano B O. 1973. A gel consistency test for eating quality of rice. J Sci Food Agric, 24(12): 1589–1594.
Farshadfar E, Hasheminasab H, Yaghotipoor A. 2012. Estimation of combining ability and gene action for improvement drought tolerance in bread wheat (Triticum aestivum L.) using GGE biplot techniques. J Agric Sci, 4(9): 1–10.
Juliano B O. 1971. A simplified assay for milled rice amylose. Cereal Sci Today, 16(4): 334–338.
Juliano B O. 1985. Rice Chemistry and Technology. 2nd. Minnesota, USA: American Association of Cereal Chemists.
Kempthorne O. 1957. An Introduction to Genetic Statistics. New York: John Wiley & Sons, Inc.
Kumar S, Singh H B, Sharma J K. 2007. Combining ability analysis for grain yield and other associated traits in rice. Oryza, 44(2): 108–114.
Little R R, Hilder G B, Dawson E H. 1958. Differential effect of dilute alkali on 25 varieties of milled white rice. Cereal Chem, 35: 111–126.
Maleki M, Fotokian M H, Kajouri F D, Nouri M Z, Agahi K. 2014. Study of combining ability and gene action of cooking quality traits in rice (Oryza sativa L.) using line × tester analysis. J Biod Env Sci, 4(3): 220–226.
M?hring J, Melchinger A E, Piepho H P. 2011. REML-based diallel analysis. Crop Sci, 51(2): 470–478.
Patil V A, Vashi R D, Patil P P, Shinde D A. 2012. Line × tester analysis in rice (Oryza sativa L.). Plant Arch, 12(1): 463–469.
Raju C H D, Krishna L, Raju C H S, Vanisree S, Reddy P N, Reddy B B. 2012. Gene action and combining ability for quantitative traits in rice (Oryza sativa .L). J Res ANGRAU, 40(1): 60–68.
Rastogi A, Mishra B K, Srivastava M, Siddiqui A, Shukla S. 2011. Biplot approach for identification of heterotic crosses in linseed (Linum usitatissimum L.). J Bot, 11: 1–7.
Saidaiah P, Ramesha M S, Kumar S S, Suresh J. 2011. Combining ability analysis for yield and yield component traits in rice (Oryza sativa L.). J Res ANGRAU, 39(1/2): 28–33.
Sharifi P, Safari Motlagh M R. 2011. Biplot analysis of diallel crosses for cold tolerance in rice at the germination stage. Crop Past Sci, 62(2): 169–176.
Sharifi P. 2012. Graphic analysis of salinity tolerance traits of rice (Oryza sativa L.) using biplot method. Cereal Res Comm, 40(3): 416–424.
Sharifi P. 2013. Genotype plus genotype by environment interaction (GGE) biplot analysis of nutrient quality traits in rice (Oryza sativa L.). Philipp J Crop Sci, 38(2): 9–20.
Tiwari D K, Pandey P, Giri S P, Dwivedi J L. 2011. Nature of gene action and combining ability for yield and its related traits in hybrid rice. Oryza, 48(4): 288–296.
Yan W K. 2001. GGEbiplot: A windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agron J, 93(5): 1111–1118.
Yan W K, Hunt L A. 2002. Biplot analysis of diallel data. Crop Sci, 42(1): 21–30.
Yashitola J, Thirumurgan T, Sundaram R M, Naseerullah M K, Ramesha M S, Sarma N P, Sonti R V. 2002. Assessment of purity of rice hybrid using microsatellite and STS markers. Crop Sci, 42(4): 1369–1373.

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