Development of high-yielding white maize hybrids with better chapatti-making quality compared to traditionally used local landraces

Author:

Arora Arushi,Das Abhijit Kumar,Kumar Ramesh,Sharma Savita,Kaur Navjot,Dixit Shubhank,Kaur Yashmeet,Saxena D. C.,Rakshit Sujay

Abstract

IntroductionThe present research focuses on the chapatti making quality of high-yielding white maize hybrids compared to available low-yielding local yellow and white landraces in India.Materials and methodsIn this study, the top nine superior hybrids were selected for testing the physical properties of the maize kernels, proximate composition of flours and chapattis, physical parameters of chapatti, textural properties, sensory evaluation of chapattis and pasting properties of maize flour.Results and discussionThe results revealed the superiority of white maize hybrids (WMH), viz., WHM 1, WHM 2, and WHM 8 over the local yellow and white landraces for most of the parameters studied. In sensory analysis, though, the yellow landrace was considered superior by the panellists in terms of colour but the white maize hybrids outperformed in overall sensory analysis and were more acceptable than the yellow and white maize landraces. These high yielding white maize hybrids with good consumer acceptance may cater for the needs of rural and tribal populations in India who prefer white maize as a staple food.

Publisher

Frontiers Media SA

Reference63 articles.

1. Heterosis in genomic era: advances in the molecular understanding and techniques for rapid exploitation;Das;Crit Rev Plant Sci,2021

2. Breeding maize for food and nutritional security;Lone,2021

3. Potential use of random and linked SSR markers in establishing the true heterotic pattern in maize (Zea mays);Kumar;Crop Pasture Sci,2022

4. White maize: genetics of quality and agronomic performance;Malvar;Crop Sci,2008

5. Strategic selection of white maize inbred lines for tropical adaptation and their utilization in developing stable, medium to long duration maize hybrids;Mukri;Maydica,2018

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