Research Article Open Access

Space Distribution of Highland Barley GNS and its Relationship with Environmental Factors in the Qinghai-Tibet Plateau

Xibo Feng1, Gaihua Wang1 and Jianlin Wang1
  • 1 Xizang Agriculture and Animal Husbandry College, China

Abstract

In order to study the space distribution of Grain Number per spike (GNS) and its relationship with the environmental factors in the Qinghai-Tibet Plateau, 83 data samples from different ecological areas were selected for GNS inverstigation. Meanwhile, the seeds of highland barley were harvested and planted in the farm of Xizang Agriculture and Animal Husbandry College; the varieties without genetic differences were selected and their GNS was analyzed with the local geography and climate factors. The results shows that: (1) In the horizontal direction, GNS forms the high value area of Central and South Tibetan taking Qiongjie and Longzi as the center; (2) In the vertical direction, GNS appears with double high value areas at the altitude of 3900m-4200m and above 4500m respectively and the corresponding GNS is 52.9±17.6 and 57.2±0.2 respectively; (3) the environmental factors influencing GNS are in the order that soil total nitrogen>soil available nitrogen>the average precipitation at heading-filling stage>altitude>soil organic matter>soil total phosphorus>the average rainfall at jointing-heading stage>soil available potassium>the average rainfall at tillering-jointing stage.

American Journal of Biochemistry and Biotechnology
Volume 14 No. 2, 2018, 137-144

DOI: https://doi.org/10.3844/ajbbsp.2018.137.144

Submitted On: 16 March 2018 Published On: 26 April 2018

How to Cite: Feng, X., Wang, G. & Wang, J. (2018). Space Distribution of Highland Barley GNS and its Relationship with Environmental Factors in the Qinghai-Tibet Plateau. American Journal of Biochemistry and Biotechnology, 14(2), 137-144. https://doi.org/10.3844/ajbbsp.2018.137.144

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Keywords

  • Qinghai-Tibet Plateau
  • Highland Barley
  • Grain Number Per Spike
  • Distribution Pattern
  • Environmental Factor