Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
Zinc indexing in wheat grains and associated soils of southern Punjab.
Author(s):
1. Muhammad A. Maqsood: Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan;Department of Soil Science, University of Saskatchewan, S7N 5A8, SK, Canada
2. Shahid Hussain: Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan;Department of soil science, Bahauddin Zakariya University, Multan, Pakistan
3. Tariq Aziz: Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan; School of Plant Biology, University of Western Australia, Crawley, WA 6009, Australia
4. Munir Ahmad: Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Faisalabad, Pakistan;Department of Soil Sciences, College of Food and Agricultural Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia
5. Muhammad A. Naeem: Institute of Soil and Environmental Science, University of Agriculture, Faisalabad, Pakistan
6. Hammad R. Ahmad: Institute of Soil and Environmental Science, University of Agriculture, Faisalabad, Pakistan
7. Shamsa Kanwal: Institute of Soil and Environmental Science, University of Agriculture, Faisalabad, Pakistan
8. Makhdoom Hussain: Wheat Research Institute, Ayub Agricultural Research Institute (AARI), Faisalabad, Pakistan
Abstract:
Higher grain Zn concentration is desirable to combat human Zn deficiency. A total of 58 farmers’ fields were surveyed from districts of Multan and Lodhran to represent cotton-wheat rotation zone of Punjab. Soils were sampled separately from the surface (0–15 cm depth) and subsurface (15–30 cm depth) layers. Within 5 m2 of soil sample, about 100 spikes from mature tillers of wheat were also collected. Nearly all subsurface and 76% of the collected surface soil samples were deficient in plant available Zn resulting in grain Zn concentration of 20 µg g −1 , on average. The inherent capacity of subsurface soil layer to supply Zn positively correlated with grain Zn concentration (r=0. 33, n=58; P=0. 01). Organic matter content (r=0. 32, n=58; P=0. 02) in subsurface layer and soil salinity (ECe) of both layers (r=−0. 53, n=58; P
Page(s): 431-438
DOI: DOI not available
Published: Journal: Pakistan Journal of Agricultural Sciences, Volume: 52, Issue: 2, Year: 2015
Keywords:
Keywords are not available for this article.
References:
References are not available for this document.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

33

Views