Assessing the performance of an agroforestry system based on quinoa and olive trees under saline irrigation

Author:

Abidi Ilham,Daoui Khalid,Abouabdillah Aziz,Mahyou Hamid,Bazile Didier,Alaoui Si Bennasseur

Abstract

In the context of climate change, agricultural productivity, especially in semi-arid areas, is facing serious challenges ranging from water scarcity to soil degradation and perpetual salinization. Therefore, looking for sustainable and resilient cropping systems has been a priority of the National strategy « Green Generation2020-2030 ». Agroforestry could be a sustainable way to diversify and improve land productivity through the complementary and facilitating potential of its components. This study aims to introduce quinoa as a halophyte crop to scale up the performance of current olive-based intercropping systems. The field experiment was conducted in an organic farm under saline irrigation (6 dS/m) and was laid out in a randomized complete block design with two cropping systems: monocropping (SC) and agroforestry systems (AFS), four quinoa cultivars (Puno, Titicaca, ICBA-Q5 and ICBA-Q4) and one olive plot as a control (OR) in each block. The average grain and straw yields for quinoa were significantly reduced in AFS, respectively by 33%and 45% while average olive yield was not affected by the cropping system. In addition, the Land Equivalent Ratio (LER) was always higher than one, confirming the performance of the agroforestry system based on quinoa and olive tree under saline irrigation.

Publisher

EDP Sciences

Reference24 articles.

1. Global Food Demand Scenarios for the 21st Century

2. Elferink M. and Schierhorn F., Harvard Business Review, 6, (2016)

3. Integrated crop–livestock systems: Strategies to achieve synergy between agricultural production and environmental quality

4. FAO, Food and Agriculture Organisation of the United Nations 2018. FAO’s Work on Agroecology; United Nations: Rome, Italy; Available online: http://www.fao.org/3/i9021en/I9021EN.pdf (accessed on 14 June 2019).

5. Saqib M., Akhtar J., ABBas G., Murtaza G., Climate Change Management book series (CCM). pp. 283-297. (2019).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3