NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance

  1. Luis Inostroza
  2. Iris Lobos
  3. Hernán Acuña
  4. Catalina Vásquez
  5. Gerardo Tapia
  6. Gerson Monzón
Revista:
Agricultura técnica = Chilean Journal of Agricultural Research

ISSN: 0718-5839

Año de publicación: 2017

Volumen: 77

Número: 3

Páginas: 218-225

Tipo: Artículo

DOI: 10.4067/S0718-58392017000300218 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Agricultura técnica = Chilean Journal of Agricultural Research

Resumen

In temperate climates, cold stress constrains productivity of white clover (Trifolium repens L.), the most important perennial forage legume in intensive grazing systems for ruminants. Metabolism of water sugar carbohydrate (WSC) has been proposed as an important trait conferring cold tolerance to white clover. Conventional methodologies for WSC determination are considered high-cost and time-consuming. Near-infrared (NIR) spectroscopy is a robust, reliable, and high-throughput methodology to estimate chemical composition of forage species. The objectives of this work were to determine the accuracy of NIR spectroscopy for predicting WSC in stolon samples of white clover, and to evaluate the genetic relationship between WSC and cold tolerance. A white clover association mapping (WCAM) population was stablished in three location that represent a winter low temperature gradient associated with altitude. Dry matter production and some morphological traits were evaluated during three growing seasons. Samples for WSC determination were collected three time during a winter period. Samples were scanned with a NIR system, and a prediction model for WSC was fitted using partial least squares (PLS) regression. The adjusted prediction model achieved suitable predictive ability (R2 > 0.85). The WSC per se did not show significant genetic relationship with morphological and agronomically important traits. However, the WSC degradation rate (WSCdr) across the winter period showed significant genetic correlation with DM production during spring (rg = 0.64), which is the result of genetic/physiological mechanism expressed during the cold period. The NIR spectroscopy is a reliable and high-throughput methodology to predict WSC in stolon samples of white clover. The metabolism of WSC, evaluated as WSCdr, is involved in the cold tolerance of the WCAM population. The methodology implemented in this work is suitable to be applied in a plant breeding program routine.

Referencias bibliográficas

  • Acuña, H., Inostroza, L.. (2013). Phosphorus efficiency of naturalized Chilean white clover in a grazed field trial. Grass and Forage Science. 68. 125
  • Acuña, H., Inostroza, L., Pino, M.T. (2014). Selection of contrasting cold-tolerant white clover genotypes from twentyeight populations naturalized in southern Chile and Argentina. Grassland Science in Europe. 19. 858
  • Alomar, D., Fuchslocher, R., Cuevas, J., Mardones, R., Cuevas, E. (2009). Prediction of the composition of fresh pastures by near infrared reflectance or interactance-reflectance spectroscopy.. Chilean Journal of Agricultural Research. 69. 198-206
  • Annicchiarico, P., Barrett, B., Brummer, E.C., Julier, B., Marshall, A.H. (2015). Achievements and challenges in improving temperate perennial forage legumes. Critical Reviews in Plant Sciences. 34. 327
  • Annicchiarico, P., Collins, R.P., Fornasier, F., Rhodes, I. (2001). Variation in cold tolerance and spring growth among Italian white clover populations. Euphytica. 122. 407
  • Barrett, B.A., Faville, M.J., Nichols, S.N., Simpson, W.R., Bryan, G.T., Conner, A.J. (2015). Breaking through the feed barrier: options for improving forage genetics. Animal Production Science. 55. 883
  • Berardo, N. (1997). Prediction of the chemical composition of white clover by near-infrared reflectance spectroscopy. Grass and Forage Science. 52. 27-32
  • Castonguay, Y., Laberge, S., Brummer, E.C., Volenec, J.J. (2006). Alfalfa winter hardiness: A research retrospective and integrated perspective. Advances in Agronomy. 90. 203
  • Collins, R., Helgadóttir, Á., Fothergill, M., Rhodes, I. (2002). Variation amongst survivor populations of white clover collected from sites across Europe: Growth attributes and physiological responses to low temperature. Annals of Botany. 89. 283
  • Dalmannsdóttir, S., Helgadóttir, Á., Gudleifsson, B.E. (2001). Fatty acid and sugar content in white clover in relation to frost tolerance and ice-encasement tolerance. Annals of Botany. 88. 753
  • Deaville, E.R., Flinn, P.C. (2000). Forage evaluation in ruminant nutrition. CABI Publishing. Wallingford, UK.
  • Frankow-Lindberg, B.E. (2001). Adaptation to winter stress in nine white clover populations: Changes in non-structural carbohydrates during exposure to simulated winter conditions and ‘spring’ regrowth potential. Annals of Botany. 88. 745
  • Gilmour, A.R., Gogel, B.J., Cullis, B.R., Thomson, R. (2009). ASReml-R Reference manual release 3.0. VSN International Ltd.. Hemel Hempstead, UK.
  • Goulas, E., Le Dily, F., Ozouf, J., Ourry, A. (2003). Effects of a cold treatment of the root system on white clover (Trifolium repens L.) morphogenesis and nitrogen reserve accumulation. Journal of Plant Physiology. 160. 893-902
  • Helgadottir, A., Marum, P., Dalmannsdottir, S., Daugstad, K., Kristjansdottir, T.A., Lunnan, T. (2008). Combining winter hardiness and forage yield in white clover (Trifolium repens) cultivated in northern environments. Annals of Botany. 102. 825
  • Inostroza, L., Acuña, H., Méndez, J. (2015). Multi-physiological-trait selection indices to identify Lotus tenuis genotypes with high dry matter production under drought conditions. Crop and Pasture Science. 66. 90
  • Inostroza, L., Acuña, H., Muñoz, P., Vasquez, C., Ibañez, J., Tapia, G. (2016). Using aerial images and canopy spectral reflectance for high-throughput phenotyping of white clover. Crop Science. 56. 2629
  • Krahmer, A., Gudi, G., Weiher, N., Gierus, M., Schutze, W., Schulz, H. (2013). Characterization and quantification of secondary metabolite profiles in leaves of red and white clover species by NIR and ATR-IR spectroscopy. Vibrational Spectroscopy. 68. 96-103
  • Lister, S.J., Dhanoa, M.S. (1998). Comparison of calibration models for the prediction of forage quality traits using near infrared spectroscopy. Journal of Agricultural Science. 131. 241
  • Lobos, I., Gou, P., Hube, S., Saldaña, R., Alfaro, M. (2013). Evaluation of potential NIRs to predict pastures nutritive value. Journal of Soil Science and Plant Nutrition. 13. 463
  • Nie, Z., Tremblay, G.F., Bélanger, G., Berthiaume, R., Castonguay, Y., Bertrand, A. (2009). Near-infrared reflectance spectroscopy prediction of neutral detergent-soluble carbohydrates in timothy and alfalfa. Journal of Dairy Science. 92. 1702
  • Nyquist, W.E., Baker, R.J. (1991). Estimation of heritability and prediction of selection response in plant populations. Critical Reviews in Plant Sciences. 10. 235-322
  • Piaskowski, J.L., Brown, D., Campbell, K.G. (2016). Near-infrared calibration of soluble stem carbohydrates for predicting drought tolerance in spring wheat. Agronomy Journal. 108. 285
  • Wachendorf, M., Collins, R.P., Connolly, J., Elgersma, A., Fothergill, M., Frankow-Lindberg, B.E.. (2001). Overwintering of Trifolium repens L. and succeeding growth: Results from a common protocol carried out at twelve European sites. Annals of Botany. 88. 669
  • Widdup, K.H., Ford, J.L., Barret, B.A., Woodfield, D.R. (2010). Proceedings of the New Zealand Grassland Association. New Zealand Grassland Association (NZGA). Lincoln, New Zeland.
  • Yemm, E.W., Willis, A.J. (1954). The estimation of carbohydrates in plant extracts by anthrone. Biochemical Journal. 57. 508
Fuente de los datos: Dialnet