Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

Using Leaf Traits to Rank Native Grasses According to Their Nutritive Value

Raouda Al Haj Khaled, Michel Duru, Virginie Decruyenaere, Claire Jouany and Pablo Cruz
Rangeland Ecology & Management
Vol. 59, No. 6 (Nov., 2006), pp. 648-654
Stable URL: http://www.jstor.org/stable/3899898
Page Count: 7
  • Read Online (Free)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Using Leaf Traits to Rank Native Grasses According to Their Nutritive Value
Preview not available

Abstract

Leaf traits (leaf dry matter content [LDMC], specific leaf area [SLA] and leaf life span [LLS]) previously proposed to predict plant strategies for resource use, were studied to test if they can be used to rank grasses for digestible organic matter (DOM). On 14 native grass species from natural meadows in the French Pyrenees, leaf blade chemical components (fiber, cellulose, hemicellulose and lignin) and DOM were estimated for two growing periods using two different methods (chemical-enzymatic and Near Infrared Reflectance Spectroscopy). The ranking of species based on LDMC, SLA and LLS was conserved. Fiber content and DOM were significantly correlated even though the data were obtained in different years (2001 and 2002), on different organs (youngest adult blades in 2001 and all the green blades of tillers in 2002) and by different analytical methods. LDMC seems to be the most suitable trait to rank native grasses according to their nutritive value because it ranks species as well as leaf traits and it is the easiest to measure. We suggest using LDMC as an indicator to rank grassland communities for herbage nutritive values. /// Tres atributos foliares, el contenido en materia seca (LDMC), el área foliar específica (SLA) y la longevidad foliar (LLS) fueron estudiados sobre 14 gramíneas nativas de praderas situadas en los Pirineos franceses para determinar si dichos atributos las clasifican en el mismo orden que variables de valor nutritivo. Para esto, la composición química (fibra, celulosa, hemi-celulosa y lignina) y la digestibilidad de la materia seca (DOM) de las laminas foliares fueron estimados durante dos períodos de crecimiento utilizando métodos diferentes (químico-enzimático y espectroscopia o NIRS). LDMC, LLS y SLA clasifican las especies de igual manera en que lo hacen la proporción de fibras y la DOM. La composición de tejidos foliares y la DOM mostraron une correlación significativa aún cuando los datos fueron obtenidos con métodos analíticos diferentes, en años diferentes y sobre muestras de órganos diferentes (la lámina de la hoja adulta mas joven en 2001 y todas las láminas verdes en 2002). La LDMC se presenta como el mejor atributo para clasificar las especies por su valor nutritivo pues las ordena como los otros y su medición es más simple. Este atributo puede ser usado para clasificar comunidades herbáceas naturales según su valor nutritivo.

Page Thumbnails

  • Thumbnail: Page 
648
    648
  • Thumbnail: Page 
649
    649
  • Thumbnail: Page 
650
    650
  • Thumbnail: Page 
651
    651
  • Thumbnail: Page 
652
    652
  • Thumbnail: Page 
653
    653
  • Thumbnail: Page 
654
    654