Phenotype based clustering, and diversity of common bean genotypes in seed iron concentration and cooking time

Author:

Amongi WinnyfredORCID,Nkalubo Stanley Tamusange,Ochwo-Ssemakula Mildred,Badji ArfangORCID,Dramadri Isaac Onziga,Odongo Thomas Lapaka,Nuwamanya Ephraim,Tukamuhabwe Phineas,Izquierdo Paulo,Cichy Karen,Kelly James,Mukankusi Clare

Abstract

Common bean is the world’s most important directly consumed legume food crop that is popular for calories, protein and micronutrients. It is a staple food in sub-Saharan Africa, and a significant source of iron for anemic people. However, several pests, soil and weather challenges still impede its production. Long cooking time, and high phytic acid and polyphenols that influence bioavailable iron also limit the health benefits. To inform population improvement strategies and selection decisions for resilient fast cooking and iron biofortified beans, the study determined diversity and population structure within 427 breeding lines, varieties, or landraces mostly from Alliance Uganda and Columbia. The genotypes were evaluated for days to flowering and physiological maturity, yield, seed iron (FESEED) and zinc (ZNSEED) and cooking time (COOKT). Data for all traits showed significant (P≤0.001) differences among the genotypes. Repeatability was moderate to high for most traits. Performance ranged from 52 to 87 ppm (FESEED), 23–38 ppm (ZNSEED), 36–361 minutes (COOKT), and 397–1299 kg/ha (yield). Minimal differences existed between the gene pools in the mean performance except in yield, where Mesoamerican beans were better by 117 kg/ha. The genotypes exhibited high genetic diversity and thus have a high potential for use in plant breeding. Improvement of FESEED and ZNSEED, COOKT and yield performance within some markets such as red and small white beans is possible. Hybridization across market classes especially for yellow beans is essential but this could be avoided by adding other elite lines to the population. Superior yielding and fast cooking, yellow and large white beans were specifically lacking. Adding Fe dense elite lines to the population is also recommended. The population was clustered into three groups that could be considered for specific breeding targets based on trait correlations.

Funder

Carnegie Corporation of New York

USAID Feed the Future Innovation Lab for Crop Improvement

USDA Funding Opportunity

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. FAO (Food and Agriculture Organization). 2019. https://www.fao.org/faostat/en/#data/QCL. Accessed 26 November 2021

2. CIAT. Beans: What we do breeding better crops. (Web-exclusive story). 2018; https://ciat.cgiar.org/what-we-do/breeding-better-crops/beans/. Accessed 14 December 2019

3. CIAT. The impact of improved bush bean varieties in Uganda. Highlights-CIAT in Africa. 2008; 43. Kampala: CIAT.

4. Genomics, genetics, and breeding of common bean in Africa: A review of tropical legume project;C Mukankusi;Plant Breeding,2019

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