Indices for measuring system efficiency of American cotton and legume intercropping in additive series of 1:1 ratio at rainfed vertisols

Author:

MANIKANDAN ANGAMUTHU1ORCID,Blaise Desouza,Nalayini Periyakaruppan,Nagrare Vishlesh Shankar

Affiliation:

1. ICAR- Central Institute for Cotton Research

Abstract

Abstract Background and Aims Cotton (Gossypium hirsutum L.) is grown at wide-row spacing and offers an opportunity to intercrop. We hypothesized that including a legume may improve the soil fertility and the system productivity. However, less is known about intercropping legume on rainfed vertisols. Methods During initial two years (2015–2017) field experiments were conducted for identifying efficient nitrogen (N) fixing legume [Blackgram (Bg), green gram (Gg), cowpea (Cp), soybean (Sb), cluster bean (Cb), pigeon pea (Pp), dolichos (Dc) and groundnut (Gn)] with high-density planting system (HDPS). Based on these results, a further study for three years (2018–2020) was conducted with the short, medium and long duration of shortlisted legumes to determine economic and operational feasibility. Results Legume intercrops reduced the seed cotton yield. However, cotton equivalent yield results showed that productivity of the cotton + cotton (Cc) and sole cotton (Cs), is lower (63, 30%) than legume intercropped cotton (CLi) excluding pigeon pea (Pp). The positive and higher values of land equivalent ratio (1.40–1.78) indicated the benefits of intercropping systems than of Pp (0.74 − 0.69) or Cs (1.00). Legumes also improved the area time equivalent ratio of 14–28% and 97% of land use efficiency than Cs. No competition and aggressivity was exhibited between legume intercrops and cotton. Conclusion These indices suggest that pigeon pea, dolichos and cotton are not suitable for intercropping in additive series with HDPS at the existing row spacing (1:1). Further, the indices with Bt-cultivars ensure the facilitative robustness of legume intercropping technology for sustainable production under rainfed areas.

Publisher

Research Square Platform LLC

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