Yield potential of upland rice varieties under reproductive-stage drought and optimal water regimes in Nigeria

Author:

Anyaoha C. O.,Fofana M.,Gracen V. E.,Tongoona P. B.,Blay E. T.,Semon M.,Popoola B.

Abstract

AbstractThe goal of most rice improvement programs is the enhancement of farmers’ yield using less land and limited water. This study evaluated 77 upland rice genotypes under optimal upland growing conditions in the field and ranked the genotypes using base indices. Subsequently, eighteen cultivars selected from the field trial were screened under drought in rainout-shelter conditions. The traits evaluated for index selection were yield, days to flowering, plant height, number of panicles and filled grains. Under field conditions, based on the sum of economic weight assigned to five traits used to compute the selection index, IR 68704-145-1-1-B and IR 63380-16 were the best genotypes. In the rainout-shelter experiment, Ofada 2 (508 gm−2) had the highest grain yield under non-stress conditions while ITA 117 (152.38 gm−2) had the highest grain yield under drought stress. The base index was efficient for selecting superior genotypes with the best combination for all the traits considered. Susceptibility to drought stress of the landraces leads to poor grain yield.

Publisher

Cambridge University Press (CUP)

Subject

Plant Science,Genetics,Agronomy and Crop Science

Reference39 articles.

1. Drought susceptibility of modern rice varieties: an effect of linkage of drought tolerance with undesirable traits

2. Response to two cycles of divergent selection for grain yield under drought stress in four rice breeding populations

3. Longtau SR (2003) Multi-agency partnerships in West African Agriculture. A review and description of rice production systems in Nigeria. Jos, Nigeria: Eco-systems Development Organization (EDO-DFID) report, 50.

4. USDA (2017) Grain: World markets and trade.

5. Release of two dual purpose of ofada rice varieties (FUNAABOR-1 AND FUNAABOR-2) by federal university of agriculture, abeokuta (FUNAAB);Showemimo;Journal of Agricultural Science and Environment,2011

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