Weeds Spectrum, Productivity and Land-Use Efficiency in Maize-Gram Intercropping Systems under Semi-Arid Environment

Author:

Abbas Rana Nadeem,Arshad Muhammad Awais,Iqbal Asif,Iqbal Muhammad AamirORCID,Imran Muhammad,Raza AliORCID,Chen Jen-TsungORCID,Alyemeni Mohammed Nasser,Hefft Daniel IngoORCID

Abstract

To ensure food security on sustainable basis, reducing weeds interference and boosting land use efficiency are critical. A field study was conducted at research farm of University of Agriculture Faisalabad, Pakistan, to sort out the most productive maize-gram intercropping system under semi-arid environment. Treatments included sole maize in single row (60 cm apart) (T1) and double rows (90 cm apart) (T2) strips, sole black (T3) and green gram (T4) crops, six single rows (60 cm apart) of maize with twelve double rows (20 cm) of black (T5) and green gram (T6), three double rows (90 cm apart) of maize with three sets of quadratic rows (20 cm apart) of black (T7) and green gram (T8). The experiment was executed in regular arrangement of randomized complete block design with three replications. The results revealed that T1 produced the highest grain yield (6.97 t ha−1) of maize and significantly lower weeds infestation compared to wider row spacing (T2). Among intercropping systems, T8 significantly decreased weeds density (16.33 plants m−2) and their fresh (20.93 g m−2) and dry weights (5.63 g m−2), while the maximum land use efficiency as indicated by unmatched land equivalent ratio and intercropping advantage were recorded by T7 and T8. Interestingly, green gram in intercropping recorded over 58% higher productivity than black gram. We conclude that maize-green gram intercropping hold potential to impart sustainability to maize production by reducing weeds infestation (431% lower than sole maize) and could be a viable option for smallholder farmers in semi-arid environment.

Publisher

MDPI AG

Subject

Agronomy and Crop Science

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