Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T05:14:18.274Z Has data issue: false hasContentIssue false
  • English
  • Français

Development of recombinant high yielding lines with improved protein content in rice (Oryza sativa L.)

Published online by Cambridge University Press:  10 April 2018

K. Chattopadhyay ,
S. G. Sharma ,
T. B. Bagchi ,
K. A. Molla ,
S. Sarkar ,
B. C. Marndi ,
A. Sarkar ,
S. K. Dash Open the ORCID record for S. K. Dash [Opens in a new window]  and
O. N. Singh
K. Chattopadhyay*
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
S. G. Sharma
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
T. B. Bagchi
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
K. A. Molla
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
S. Sarkar
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
B. C. Marndi
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
A. Sarkar
Affiliation:
ICAR- Central Institute for Women in Agriculture, Bhubaneswar, Odisha 751003, India
S. K. Dash
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
O. N. Singh
Affiliation:
ICAR-National Rice Research Institute, Cuttack, Odisha 753 006, India
*
Author for correspondence: K. Chattopadhyay, E-mail: krishnenducrri@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Rice has the lowest grain protein content (GPC) among cereals. Efforts have been made to improve GPC through the modified bulk-pedigree method of selection. A total of 1780 F8 recombinant lines were derived in the year 2013 from five different cross combinations involving two high-GPC landraces, namely ARC10075 and ARC10063, three high-yielding parents, namely Swarna, Naveen and IR64, and one parent, namely Sharbati, known for superior grain quality with high micronutrient content. Near-infrared spectroscopy was used to facilitate high-throughput selection for GPC. Significant selection differential, response to selection and non-significant differences between the predicted and observed response to selection for GPC and protein yield indicated the effectiveness of this selection process. This resulted in lines with high GPC, protein yield and desirable levels of amylose content. Further, based on high mean and stability for GPC and protein yield over the environments in the wet seasons of 2013, 2014 and the dry season of 2014, 12 elite lines were identified. Higher accumulation of glutelin fraction and non-significant change in prolamin/glutelin ratio in the grain suggested safe guarding of the nutritional value of rice grain protein of most of these identified lines. Since rice is the staple food of millions, the output of breeding for high GPC could have a significant role in alleviating protein malnutrition, especially in the developing world.

Keywords

Bulk-pedigree breedinggrain qualityhigh protein riceNIR spectroscopyresponse to selection
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 156 , Issue 2 , March 2018 , pp. 241 - 257
Check for updates
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ali, MA (2011) Response to pedigree selection for earliness and grain yield in spring wheat under heat stress. Asian Journal of Crop Science 3, 118–129.CrossRefGoogle Scholar
Allahgholipour, M, et al. (2006) Relationship between rice grain amylose and pasting properties for breeding better quality rice varieties. Plant Breeding 125, 357–362.Google Scholar
Aluko, G, et al. (2004) QTL mapping of grain quality traits from the interspecific cross Oryza sativa × O. glaberrima. Theoretical and Applied Genetics 109, 630–639.CrossRefGoogle ScholarPubMed
Bagchi, TB, Sharma, SG and Chattopadhyay, K (2015) Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran. Food Chemistry 191, 21–27.Google Scholar
Blumenthal, JM, et al. (2008) Importance and effect of nitrogen on crop quality and health. In Hatfield, JL and Follett, RF (eds). Nitrogen in the Environment: Sources, Problems and Management. pp. 51–70. Amsterdam, the Netherlands: Academic Press/Elsevier.CrossRefGoogle Scholar
Cameron, DK and Wang, Y (2005) A better understanding of factors that affect the hardness and stickiness of long grain rice. Cereal Chemistry 82, 113–119.CrossRefGoogle Scholar
Chattopadhyay, K, Das, A and Das, SP (2011) Grain protein content and genetic diversity of rice in north eastern India. Oryza 48, 73–75.Google Scholar
Derycke, V, et al. (2005) Impact of proteins on pasting and cooking properties of nonparboiled and parboiled rice. Cereal Chemistry 82, 468–474.CrossRefGoogle Scholar
El-Ameen, T, Hossain, A and da Silva, JAT (2013) Genetic analysis and selection for bread wheat (Triticum aestivum L.) yield and agronomic traits under drought conditions. International Journal of Plant Breeding 7, 61–68.Google Scholar
Falconer, DS and Mackay, TFC (1996) Introduction to Quantitative Genetics, 4th edn., Harlow, UK: Longman.Google Scholar
Fitzgerald, MA, McCouch, SR and Hall, RD (2009) Not just a grain of rice: the quest for quality. Trends in Plant Science 14, 133–139.CrossRefGoogle ScholarPubMed
Frey, KJ and Horner, T (1955) Comparison of actual and predicted gains in barley selection experiments. Agronomy Journal 47, 186–188.Google Scholar
Furukawa, S, et al. (2003) Distribution of storage proteins in low-glutelin rice seed determined using a fluorescent antibody. Journal of Bioscience and Bioengineering 96, 467–473.Google Scholar
Gaido, AZ, Maich, RH and Dubois, MF (2000) Baking quality in lines of bread wheat with growing potential grain yield. Phyton, International Journal of Experimental Botany 69, 85–90.Google Scholar
International Rice Research Institute (1976) Annual Report for 1975. Los Baños, Philippines: IRRI.Google Scholar
Jiang, C, et al. (2014) Proteomic analysis of seed storage proteins in wild rice species of the Oryza genus. Proteome Science 12, article no. 51. doi: 10.1186/s12953-014-0051-4.Google Scholar
Ju, Z, Hettiarachchy, N and Rath, N (2001) Extraction, denaturation and hydrophobic properties of rice flour proteins. Journal of Food Science 66, 229–232.Google Scholar
Juliano, BO (1980) Rice: recent progress in chemistry and nutrition. In Inglett, GE and Munck, L (eds). Cereals for Food and Beverages, Recent Progress in Cereal Chemistry, pp. 409–428. New York, USA: Academic Press.Google Scholar
Juliano, B. O. (1985) Criteria and tests for rice grain qualities. In Juliano, BO (ed). Rice Chemistry and Technology, 2nd edn., pp. 43–524. St. Paul, MN, USA: American Association of Cereal Chemists, Inc.Google Scholar
Khazratkulova, S, et al. (2015) Genotype × environment interaction and stability of grain yield and selected quality traits in winter wheat in Central Asia. Turkish Journal of Agriculture and Forestry 39, 920–929.Google Scholar
Khush, GS and Juliano, BO (1984) Status of rice varietal improvement for protein content at IRRI. In Nuclear Techniques for Cereal Grain Protein Improvement: Proceedings of Research Coordination Meeting, pp. 199–202. Vienna, Austria: IAEA.Google Scholar
Kim, JW, et al. (2013) Protein content and composition of waxy rice grains. Pakistan Journal of Botany 45, 151–156.Google Scholar
Krishnan, HB and Okita, TW (1986) Structural relationship among the rice glutelin polypeptides. Plant Physiology 81, 748–753.Google Scholar
Kumamaru, T, et al. (1988) Mutants for rice storage proteins. 1. Screening of mutants for rice storage proteins of protein bodies in the starchy endosperm. Theoretical and Applied Genetics 76, 11–16.Google Scholar
Lal, M and Singh, DP (2012) Genotype × environment interaction in rice (Oryza sativa L.). Annals of Biology 28, 53–55.Google Scholar
Li, JM, et al. (2004) QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice. Genome 47, 697–704.Google Scholar
Li, J, et al. (2009) Breeding elite japonica-type soft rice with high protein content through the introduction of the anti-Waxy gene. African Journal of Biotechnology 8, 161–166.Google Scholar
Lowry, OH, et al. (1951) Protein measurement with the Folin Phenol reagent. Journal of Biological Chemistry 193, 265–275.Google Scholar
Mahmoud, AA, Sukumar, S and Krishnan, HB (2008) Interspecific rice hybrid of Oryza sativa × Oryza nivara reveals a significant increase in seed protein content. Journal of Agricultural and Food Chemistry 56, 476–482.CrossRefGoogle ScholarPubMed
Ntanos, DA and Koutroubas, SD (2002) Dry matter and N accumulation and translocation for Indica and Japonica rice under Mediterranean conditions. Field Crops Research 74, 93–101.Google Scholar
Ogawa, M, et al. (1987) Purification of protein body-I of rice seed and its polypeptide composition. Plant and Cell Physiology 28, 1517–1527.Google Scholar
Pal, P, et al. (2016) Effect of nonthermal plasma on physico-chemical, amino acid composition, pasting and protein characteristics of short and long grain rice flour. Food Research International 81, 50–57.Google Scholar
Sambrook, J and Russell, D (2001) Molecular Cloning: A Laboratory Manual. New York, USA: CSHL Press.Google Scholar
Shao, Y, et al. (2011) Infrared spectroscopy and chemometrics for the starch and protein prediction in irradiated rice. Food Chemistry 126, 1856–1861.Google Scholar
Singh, NB and Singh, HG (1982) Gene action for quality components in rice. Indian Journal of Agricultural Science 52, 485–488.Google Scholar
Sugimoto, T, Tanaka, K and Kasai, Z (1986) Improved extraction of rice prolamin. Agricultural and Biological Chemistry 50, 2409–2411.Google Scholar
Ufaz, S and Galili, G (2008) Improving the content of essential amino acids in crop plants: goals and opportunities. Plant Physiology 147, 954–961.Google Scholar
Vasal, SK (2002) The role of high lysine cereals in animal and human nutrition in Asia. In Protein Sources for the Animal Feed Industry, pp. 167–184. Rome, Italy: FAO.Google Scholar
Wen, TN and Luthe, DS (1985) Biochemical characterization of rice glutelin. Plant Physiology 78, 172–177.Google Scholar
Wynne, JC and Gregory, WC (1981) Peanut breeding. Advances in Agronomy 34, 39–71.CrossRefGoogle Scholar
Yan, W (2002) Singular-value partitioning in biplot analysis of multievironment trial data. Agronomy Journal 94, 990–996.Google Scholar
Yan, W and Kang, MS (2003) GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton, FL, USA: CRC Press.Google Scholar
Yan, W, et al. (2007) GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47, 641–653.CrossRefGoogle Scholar
Yang, LJ, Xu, L and Li, JY (2004) Analysis of correlation between protein content, amylose content in the unpolished rice and 1000-grain weight in six different cultivars’ rice. Journal of Shanghai Normal University (Natural Sciences) 10(suppl.), 55–58.Google Scholar
Yang, Y, et al. (2015) Identification of quantitative trait loci responsible for rice grain protein content using chromosome segment substitution lines and fine mapping of qPC-1 in rice (Oryza sativa L.). Molecular Breeding 35, article no. 130, http//dx.doi:10.1007/s11032-015-0328-z.Google Scholar
Yoshida, S, et al. (1976) Laboratory Manual for Physiological Studies of Rice, 3rd edn. Los Banos, the Philippines: IRRI.Google Scholar
Yoshida, S, et al. (2002) QTL analysis for plant and grain characters of sake-brewing rice using a doubled haploid population. Breeding Science 52, 309–317.Google Scholar
Zheng, LN, et al. (2011) Dynamic QTL analysis of rice protein content and protein index using recombinant inbred lines. Journal of Plant Biology 54, 321–328.Google Scholar