Influence of Deficit Irrigation Regimes on the Quantitative and Qualitative Yield of Forage Maize Hybrids

Author:

esmaily Mansour1,Dadashi Mohamad Reza1,Feyzbakhsh Mohamad Taghi1,Kabousi Kami1,Sheikh Fatemeh1

Affiliation:

1. Islamic Azad University

Abstract

Abstract This experiment aimed to assess the impact of deficit irrigation on both the quantitative and qualitative yield of forage maize hybrids. The study was structured as a split-plot design, utilizing a randomized complete block design with three replications, where took place at the Agricultural Research Station of Gorgan in the years 2021 and 2022. Deficit irrigation was implemented at four different levels as the main plots, which comprised 100%, 75%, 50%, and 25% of the water requirement. These main plots were further subdivided into subplots, consisting of four hybrid varieties, namely SC703, SC704, ZP548, and BK50. The results showed that the highest total biomass (47939 kg ha− 1) was obtained under 100% water requirement (control) and SC704 hybrid. The reduction in total biomass for the treatments at 75%, 50%, and 25% of the water requirement, when compared to the control treatment, amounted to 7%, 47.4%, and 79.1%, respectively. Deficit irrigation significantly affected qualitative traits except for NDF at the level of 1% and increased all quality traits. Accordingly, the highest percentage of CP, NDF, and ADF was obtained by hybrid SC703 with 50% water requirement (by 9.20%), hybrid BK50 under 25% water requirement (by 30.73%), and BK50 with 75% water requirement (by 44.03%). The highest water use efficiency was observed in 75% of the water requirement (7.79 kg m− 3). Considering the significant reduction in water consumption (1795 m3 ha− 1) achieved with this treatment, it is advisable to recommend irrigation at 75% of the water requirement alongside the cultivation of the SC703 hybrid for forage production in the northern region of Iran.

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