1
|
Mumm R, Hageman JA, Calingacion MN, de Vos RCH, Jonker HH, Erban A, Kopka J, Hansen TH, Laursen KH, Schjoerring JK, Ward JL, Beale MH, Jongee S, Rauf A, Habibi F, Indrasari SD, Sakhan S, Ramli A, Romero M, Reinke RF, Ohtsubo K, Boualaphanh C, Fitzgerald MA, Hall RD. Multi-platform metabolomics analyses of a broad collection of fragrant and non-fragrant rice varieties reveals the high complexity of grain quality characteristics. Metabolomics 2016; 12:38. [PMID: 26848289 PMCID: PMC4723621 DOI: 10.1007/s11306-015-0925-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 09/18/2015] [Indexed: 12/04/2022]
Abstract
The quality of rice in terms not only of its nutritional value but also in terms of its aroma and flavour is becoming increasingly important in modern rice breeding where global targets are focused on both yield stability and grain quality. In the present paper we have exploited advanced, multi-platform metabolomics approaches to determine the biochemical differences in 31 rice varieties from a diverse range of genetic backgrounds and origin. All were grown under the specific local conditions for which they have been bred and all aspects of varietal identification and sample purity have been guaranteed by local experts from each country. Metabolomics analyses using 6 platforms have revealed the extent of biochemical differences (and similarities) between the chosen rice genotypes. Comparison of fragrant rice varieties showed a difference in the metabolic profiles of jasmine and basmati varieties. However with no consistent separation of the germplasm class. Storage of grains had a significant effect on the metabolome of both basmati and jasmine rice varieties but changes were different for the two rice types. This shows how metabolic changes may help prove a causal relationship with developing good quality in basmati rice or incurring quality loss in jasmine rice in aged grains. Such metabolomics approaches are leading to hypotheses on the potential links between grain quality attributes, biochemical composition and genotype in the context of breeding for improvement. With this knowledge we shall establish a stronger, evidence-based foundation upon which to build targeted strategies to support breeders in their quest for improved rice varieties.
Collapse
Affiliation(s)
- R. Mumm
- />Plant Research International, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />Centre for BioSystems Genomics, P.O. Box 98, 6700 AB Wageningen, The Netherlands
| | - J. A. Hageman
- />Biometris-Applied Statistics, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
| | - M. N. Calingacion
- />Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
- />Laboratory of Plant Physiology, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />School of Agriculture and Food Science, University of Queensland, St Lucia, QLD 4072 Australia
| | - R. C. H. de Vos
- />Plant Research International, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />Centre for BioSystems Genomics, P.O. Box 98, 6700 AB Wageningen, The Netherlands
- />Netherlands Metabolomics Centre, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| | - H. H. Jonker
- />Plant Research International, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />Centre for BioSystems Genomics, P.O. Box 98, 6700 AB Wageningen, The Netherlands
| | - A. Erban
- />Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - J. Kopka
- />Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - T. H. Hansen
- />Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen (UC), Thorvaldsensvej 40, 1871 Frederiksberg C Copenhagen, Denmark
| | - K. H. Laursen
- />Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen (UC), Thorvaldsensvej 40, 1871 Frederiksberg C Copenhagen, Denmark
| | - J. K. Schjoerring
- />Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen (UC), Thorvaldsensvej 40, 1871 Frederiksberg C Copenhagen, Denmark
| | - J. L. Ward
- />The National Centre for Plant and Microbial Metabolomics, Rothamsted Research, West Common, Harpenden, Herts AL52JQ UK
| | - M. H. Beale
- />The National Centre for Plant and Microbial Metabolomics, Rothamsted Research, West Common, Harpenden, Herts AL52JQ UK
| | - S. Jongee
- />Ubonratchathani Rice Research Centre, Ubon Ratchathani, Thailand
| | - A. Rauf
- />Rice Programme, National Agricultural Research Centre, Islamabad, Pakistan
| | - F. Habibi
- />Grain Quality Division, Rice Research Institute of Iran (RRII), Km 5 Tehran Rd, 41996-13475 Rasht, Islamic Republic of Iran
| | - S. D. Indrasari
- />Indonesian Center for Rice Research (ICRR) BB Padi, Jl. Raya 9, Sukamandi, Subang, 41256 Jawa Barat Indonesia
| | - S. Sakhan
- />Cambodian Agricultural Research and Development Institute, CARDI Rd, Phnom Penh, Cambodia
| | - A. Ramli
- />Pusat Penyelidikan Padi dan Tanaman Industri, MARDI, Seberang Perai Beg Berkunci 203 Pejabat Pos Kepala Batas, 13200 Seberang Perai Pulau, Penang Malaysia
| | - M. Romero
- />Rice Chemistry and Food Science Division, Philippine Rice Research Institute, Maligaya, Science City of Muñoz, 3119 Nueva Ecija Philippines
| | - R. F. Reinke
- />Graham Centre for Agricultural Innovation, Agricultural Institute (An Alliance Between NSW Department of Primary Industries and Charles Sturt University), Wagga Wagga, NSW Australia
- />Plant Breeding, Genetics and Biotechnology Division, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
| | - K. Ohtsubo
- />Department of Applied Biological Chemistry, Faculty of Agriculture, Niigata University, Niigata, Japan
| | - C. Boualaphanh
- />Department of Plant Science and Agricultural Resources, Faculty of Agriculture, Khon Kaen University, Khon Kaen, 40002 Thailand
- />Rice and Cash Crops Research Centre, National Agriculture and Forestry Research Institute, PDR, Vientiane, Lao
| | - M. A. Fitzgerald
- />Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
- />School of Agriculture and Food Science, University of Queensland, St Lucia, QLD 4072 Australia
| | - R. D. Hall
- />Plant Research International, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />Centre for BioSystems Genomics, P.O. Box 98, 6700 AB Wageningen, The Netherlands
- />Laboratory of Plant Physiology, Wageningen University and Research Centre, Droevendaalsesteeg 1, Wageningen, The Netherlands
- />Netherlands Metabolomics Centre, Einsteinweg 55, 2333 CC Leiden, The Netherlands
| |
Collapse
|
2
|
Reinke RF, Lewin LG, Williams RL. Effect of sowing time and nitrogen on rice cultivars of differing growth duration in New South Wales. 1. Yield and yield components. ACTA ACUST UNITED AC 1994. [DOI: 10.1071/ea9940933] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
New South Wales rice crops commonly take >180 days from sowing to harvest, and a reduction in crop duration is sought to increase the efficiency of rice production. The response of rice cultivars of differing growth duration to sowing time and N application was examined across 2 growing seasons. The highest yields were obtained at early sowing dates in each season. In season 2, the maximum yield of the short-duration cultivar M101 was not significantly different to the long-duration cultivars Calrose, Pelde, and M7, with yields >12 t/ha. However, yield of cv. M101 was significantly less than the long-duration cultivars at an early sowing date in season 1. Analysis of yield components did not clearly indicate the reason for reduced yield of the short duration cultivar. Damage by birds and mice before harvest, exacerbated by early maturity, is a possible cause.Later sowing reduced yields of all cultivars, with the short-duration cultivar-least affected. Optimum N application decreased with delay in sowing. At early sowings there was a positive yield response to increasing N, whereas at the latest sowings in each season the N response was negative for all cultivars. Where the yield response to applied N was positive, the yield component most associated with yield was the number of florets per unit area (r = 0.55). Where the yield response was negative, yield reductions were primarily caused by a reduction in the proportion of filled grains (r = 0.83). Minimum temperatures during the reproductive stage of each cultivar explained only a small amount of the variation in percentage of filled grain. Low minimum temperatures during the reproductive stage were not the sole cause of the reduction in proportion of filled grains of late-sown, high-N plots. The high yield potential of short-duration cultivars in The high yield potential of short-duration cultivars in the New South Wales rice-growing area is clearly demonstrated, as is the value of such cultivars where late sowing is unavoidable.
Collapse
|