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Seasonal and genetic variations in water-soluble carbohydrates and other quality traits in ecotypes and cultivars of perennial ryegrass (Lolium perenne L.)

Published online by Cambridge University Press:  16 December 2013

Sarah McGrath
Affiliation:
Teagasc Crops Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland Botany Department, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland
Trevor R. Hodkinson
Affiliation:
Botany Department, School of Natural Sciences, Trinity College Dublin, Dublin 2, Ireland
Andreas Frohlich
Affiliation:
Teagasc Crops Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland
Jim Grant
Affiliation:
Teagasc Research Operations Group, Statistics and Applied Physics Department, Ashtown, Dublin 15, Ireland
Susanne Barth*
Affiliation:
Teagasc Crops Environment and Land Use Programme, Oak Park Research Centre, Carlow, Ireland
*
* Corresponding author. E-mail: susanne.barth@teagasc.ie

Abstract

Phenotyping of genetic resources remains the bottleneck in the characterization of genetic resources, since the advent of modern next-generation sequencing technologies has made genotyping much more cost- and time-effective. This article reports on the phenotyping of agriculturally important traits in perennial ryegrass (Lolium perenne). In the present study, water-soluble carbohydrate (WSC), crude protein and dry matter contents were recorded for 1320 individuals, pooled into 132 samples from 33 perennial ryegrass ecotypes and cultivars at five different harvest time points across the 2004 growing season. While, in general, the cultivars had higher WSC contents than the ecotypes, individual ecotypes did show potential to be used in breeding programmes, as they had higher values than all other accessions at particular cutting time points. In correlation analyses, positive relationships were observed between dry matter and glucose contents both early and late in the growing season. Principal components analysis allowed the split either between cultivars and ecotypes or between tetraploid cultivars and the rest of the accessions at four of the five cutting time points. In the analysis of variance, cutting time was the most significant factor influencing the variation in traits.

Type
Research Article
Copyright
Copyright © NIAB 2013 

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References

Akaike, H (1974) New look at statistical-model identification. IEEE Transactions on Automatic Control AC-19: 716723.Google Scholar
Cairns, AJ, Pollock, CJ, Gallagher, JA and Harrison, J (2000) Fructans: synthesis and regulation. In: Leegood, RC, Sharkey, TD and von Caemmerer, S (eds) Photosynthesis: Physiology and Metabolism. Advances in Photosynthesis, vol. 9. Dordrecht: Kluwer Academic Publishers, pp. 301318.Google Scholar
Casler, MD (2006) Perennial grasses for turf, sport and amenity uses: evolution of form, function and fitness for human benefit. Journal of Agricultural Science 144: 189203.Google Scholar
Cogan, N, Smith, K, Yamada, T, Francki, M, Vecchies, A, Jones, E, Spangenberg, G and Forster, J (2005) QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.). Theoretical and Applied Genetics 110: 364380.Google Scholar
Connolly, V (2000) Collection and conservation of forage species from old pasture ecosystems. Irish Journal of Agricultural and Food Research 39: 476477.Google Scholar
Ding, XM and Yang, YF (2007) Variations of water-soluble carbohydrate contents in different age class modules of Leymus chinensis populations in sandy and saline–alkaline soil on the Songnen plains of China. Journal of Integrative Plant Biology 49: 576581.Google Scholar
Fulkerson, WJ, Slack, K, Bryant, R and Wilson, F (2003) Selection for more persistent perennial ryegrass (Lolium perenne) cultivars for subtropical/warm temperate dairy regions of Australia. Australian Journal of Experimental Agriculture 43: 10831091.Google Scholar
Gilliland, TJ, Barrett, PD, Mann, RL, Agnew, RE and Fearon, AM (2002) Canopy morphology and nutritional quality traits as potential grazing value indicators for Lolium perenne varieties. Journal of Agricultural Science 139: 257273.CrossRefGoogle Scholar
Hincha, DK, Zuther, E, Hellwege, EM and Heyer, AG (2002) Specific effects of fructo- and gluco-oligosaccharides in the preservation of liposomes during drying. Glycobiology 12: 103110.Google Scholar
Humphreys, MO (2005) Genetic improvement of forage crops – past, present and future. Journal of Agricultural Science 143: 441448.Google Scholar
Huyghe, C and Tabel, C (2009) Genetic improvement of the feeding value of perennial forage plants and innovation in the cultivars. Fourrages 198: 99113.Google Scholar
Jafari, A, Connolly, V and Walsh, EJ (2003a) Genetic analysis of yield and quality in fullsib families of perennial ryegrass (Lolium perenne L.) under two cutting managements. Irish Journal of Agricultural and Food Research 42: 275292.Google Scholar
Jafari, A, Connolly, V, Frolich, A and Walsh, E (2003b) A note on estimation of quality parameters in perennial ryegrass by near infrared reflectance spectroscopy. Irish Journal of Agricultural and Food Research 42: 293299.Google Scholar
Jones, EL and Roberts, JE (1991) A note on the relationship between palatability and WSC content in perennial ryegrass. Irish Journal of Agriculture and Food Research 30: 163167.Google Scholar
Kramer, CY (1956) Extension of multiple range tests to group means with unequal numbers of replications. Biometrics 12: 307310.CrossRefGoogle Scholar
Lee, MRF, Merry, RJ, Davies, DR, Moorby, JM, Humphreys, MO, Theodorou, MK, MacRae, JC and Scollan, ND (2003) Effect of increasing availability of water-soluble carbohydrates on in vitro rumen fermentation. Animal Feed Science and Technology 104: 5970.Google Scholar
Marley, CL, Davies, DA, Vale, JE, Evans, JG, Scollan, ND, Moorby, JM, MacRae, JC and Theodorou, MK (2005) Effects of upland pastures sown with two contrasting Lolium varieties on the performance of beef steers when compared to steers grazing permanent pastures. Proceedings of the British Society of Animal Science Annual Conference, 3–6 April 2005, York , pp. 194.Google Scholar
McGrath, S, Hodkinson, TR and Barth, S (2007) Extremely high cytoplasmic diversity in natural and breeding populations of Lolium (Poaceae). Heredity 99: 531544.Google Scholar
McGrath, S, Hodkinson, TR, Charles, MT, Zen, D and Barth, S (2010) Variation in inflorescence characters and inflorescence development in ecotypes and cultivars of Lolium perenne L. Grass and Forage Science 65: 398409.Google Scholar
Miller, LA, Moorby, JM, Davies, DR, Humphreys, MO, Scollan, ND, MacRae, JC and Theodorou, MK (2001) Increased concentration of water-soluble carbohydrate in perennial ryegrass (Lolium perenne L.): milk production from late-lactation dairy cows. Grass and Forage Science 56: 383394.CrossRefGoogle Scholar
Minitab Incorporated (2000) Minitab Statistical Software Version 15. Available at www.minitab.com.Google Scholar
Pontes, LS, Carrere, P, Andueza, D, Louault, F and Soussana, JF (2007) Seasonal productivity and nutritive value of temperate grasses found in semi-natural pastures in Europe: responses to cutting frequency and N supply. Grass and Forage Science 62: 485496.Google Scholar
Rohlf, F (2005) NTSYSpc: Numerical Taxonomy System. Version 2.2. Setauket, NY: Exeter Publishing, Ltd.Google Scholar
SAS Institute, (2002–2003) SAS Language and Procedure: Usage, Version 9.1. 1st edn. Cary, NC: SAS Institute.Google Scholar
Schwarz, G (1978) Estimating dimension of a model. Annals of Statistics 6: 461464.Google Scholar
Skøt, L, Humphreys, J, Humphreys, MO, Thorogood, D, Gallagher, J, Sanderson, R, Armstead, I and Thomas, ID (2007) Association of candidate genes with flowering time and water-soluble carbohydrate content in Lolium perenne L. Genetics 177: 535547.Google Scholar
Smith, KF, Reed, KFM and Foot, JZ (1997) An assessment of the relative importance of specific traits for the genetic improvement of nutritive value in dairy pasture. Grass and Forage Science 52: 167175.CrossRefGoogle Scholar
Smith, KF, Simpson, RJ, Culvenor, RA, Humphreys, MO, Prud'homme, MP and Oram, RN (2001) The effects of ploidy and a phenotype conferring a high water-soluble carbohydrate concentration on carbohydrate accumulation, nutritive value and morphology of perennial ryegrass (Lolium perenne L.). Journal of Agricultural Science 136: 6574.Google Scholar
Smith, HJ, Tamminga, S and Elgersma, A (2006) Dairy cattle grazing preference among six cultivars of perennial ryegrass. Agronomy Journal 98: 12131220.Google Scholar
Tas, BM, Taweel, HZ, Smit, HJ, Elgersma, A, Dijkstra, J and Tamminga, S (2006) Rumen degradation characteristics of perennial ryegrass cultivars during the growing season. Animal Feed Science and Technology 131: 102119.Google Scholar
Tukey, J (1953) Multiple comparisons. Journal of the American Statistical Association 48: 624625.Google Scholar
Turner, LB, Cairns, AJ, Armstead, IP, Ashton, J, Skot, K, Whittaker, D and Humphreys, MO (2006a) Dissecting the regulation of fructan metabolism in perennial ryegrass (Lolium perenne) with quantitative trait locus mapping. New Phytologist 169: 4557.Google Scholar
Turner, LR, Donaghy, DJ, Lane, PA and Rawnsley, RP (2006b) Effect of defoliation management, based on leaf stage, on perennial ryegrass (Lolium perenne L.), prairie grass (Bromus willdenowii Kunth.) and cocksfoot (Dactylis glomerata L.) under dryland conditions. 1. Regrowth, tillering and water-soluble carbohydrate concentration. Grass and Forage Science 61: 164174.Google Scholar
Vereyken, IJ, Chupin, V, Islamov, A, Kuhlin, A, Hincha, DK and Kruiff, B (2003) The effect of fructan on the phospholipid organisation in the dry state. Biophysical Journal 85: 30583065.Google Scholar
Wilkins, PW (1991) Breeding perennial ryegrass for agriculture. Euphytica 52: 201214.Google Scholar
Wilkins, PW and Humphreys, MO (2003) Progress in breeding perennial forage grasses for temperate agriculture. Journal of Agricultural Science 140: 129150.Google Scholar
Wilkins, RJ and Jones, R (2000) Alternative home-grown protein sources for ruminants in the United Kingdom. Animal Feed Science and Technology 85: 2332.Google Scholar
Xiong, Y, Fei, SZ, Brummer, EC, Moore, KJ, Barker, RE, Jung, G, Curley, J and Warnke, SE (2006) QTL analysis of fiber components and crude protein in an annual × perennial ryegrass interspecific hybrid population. Molecular Breeding 18: 327340.Google Scholar
Yu, XQ, Luo, N, Yan, JP, Tang, JC, Liu, SW and Jiang, YW (2012) Differential growth response and carbohydrate metabolism of global collection of perennial ryegrass accessions to submergence and recovery following de-submergence. Journal of Plant Physiology 169: 10401049.Google Scholar
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