211
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

EVALUATION OF NUTRITIONAL COMPOSITION OF PLANT SPECIES OF SOONE VALLEY IN PUNJAB, PAKISTAN

, , , &
Pages 496-517 | Received 22 Aug 2007, Accepted 28 Sep 2008, Published online: 25 Jan 2010
 

Abstract

The key component for global sustainability is plant diversity, an essential for living sources on this planet. An investigation was carried out in the Soone Valley, Punjab, Pakistan to determine the nutritional value of plant diversity in relation to requirements of grazing ruminants therein. Various parameters such as moisture content, crude protein, mineral matter, fat fiber content, dry matter, nitrogen free extractable substances, and net energy were evaluated in this investigation. Results showed that various plant species studied exhibited fluctuation in all parameters in this valley. Correlation studies also indicated that various parameters showed negative as well as positive significant relationships with various parameters of soil in this valley. The information will be useful in further conservation program. A. farnesiana was negatively correlated (−0.335) with protein and mineral matter (−0.048). Significant correlations of different plant species regarding nitrogen- phosphorus- potassium (NPK) were recorded with net energy. Various variables studied in this investigation demonstrated their importance to be used in further conservation, research, and grazing livestock programs.

Notes

∗ = Significant (P < 0.05)

∗∗ = Highly significant (P < 0.01).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 495.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.