Heritability and Genetic Advance Estimates of Key Shea Fruit Traits

Author:

Anyomi Wisdom Edem1,Barnor Michael Teye1,Danquah Agyemang2ORCID,Ofori Kwadwo2,Padi Francis Kwame3ORCID,Avicor Silas Wintuma3ORCID,Hale Iago4ORCID,Danquah Eric Yirenkyi2ORCID

Affiliation:

1. Cocoa Research Institute of Ghana, Bole Sub-Station, Bole P.O. Box BL 41, Ghana

2. West Africa Center for Crop Improvement, School of Agriculture, College of Basic and Applied Sciences, University of Ghana, Accra PMB 30, Ghana

3. Cocoa Research Institute of Ghana, New Tafo-Akim P.O. Box 8, Ghana

4. Department of Agriculture, Nutrition, and Food Systems, University of New Hampshire, Durham, NH 03824, USA

Abstract

Genetic erosion of shea trees, which has been on-going at an alarming rate, has necessitated urgent conservation attentions. Owing to the vast geographical distribution of the species across Ghana, in situ germplasms conservation was established by tagging and monitoring selected trees annually. Technologies have been developed that enable shea germplasms to be grafted, allowing for the development of germplasm banks at the research station of the Cocoa Research Institute of Ghana, Bole. However, before these materials could be used in crop improvement programs, there is a need to evaluate them for key fruit traits relevant to the global shea business. This experiment was carried out to evaluate the tagged in situ shea trees for fruit and nut traits. Freshly harvested shea fruits were evaluated for their brix, pulp yield and kernel size properties to see if there was the needed diversity for crop improvement gains. Eight key traits were studied, with all showing significant difference, with high broad sense heritability and genetic advance for all the traits, indicating the potential for genetic gains in breeding programs. Qualitative analysis classified the fruits into five shapes, ellipsoid fruit shape was the most frequent observation (69.5%), while oblong was the least represented (1%). Fruit surface pubescence indicated that the surfaces without hairs (smooth) were slightly higher in number (52.6%) than the surface with hairs (rough), which were 47.4%. Pearson correlation studies showed a positive significant relationship between kernel weight and fruit weight (0.68), fruit length (0.48), fruit width (0.51), pulp weight (0.5) and shell weight (0.77). Key components responsible for total variations observed were decomposed from the first two principal components (PC), which cumulatively explained 78.4% of the total observed variation within the materials. PC1 alone contributed 46.4%, while PC2 contributed 32%. Fruit weight, fruit length, fruit width, pulp weight, nut weight, shell weight and kernel weight were contributing traits to variations observed in PC1, while brix and percent pulp contributed to the variations observed in PC2. Percent kernel to nut ratio contributed to the variations observed in PC3. Clustering of the germplasms showed no regular pattern based on location or any particular trait, indicating a high level of diversity at 58% of the Pearson dissimilarity index.

Funder

National Science Foundation of the United States of America

West Africa Center for Crop Improvement of the University of Ghana and Cocoa Research Institute, Ghana

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference34 articles.

1. Production zones and systems, markets, benefits and constraints of shea (Vitellaria paradoxa Gaertn) butter processing;Nde;Oilseeds Fats Crops Lipids,2014

2. Pulidindi, K., and Ahuja, K. (2023). Shea Butter Market Size by Product (Raw and Unrefined Shea Butter, Refined Shea Butter), By Application (Food & Beverage, Personal Care & Cosmetics and Pharmaceutical), COVID-19 impact analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2023–2032, Global Market Insight Incorporated. Available online: https://www.gminsights.com/industry-analysis/shea-butter-market.

3. Insect pollination improves yield of shea (Vitellaria paradoxa subsp. paradoxa) in the agroforestry parklands of west Africa;Stout;J. Pollinat. Ecol.,2018

4. Orwa, C., Mutua, A., Kindt, R., Jamnadass, R., and Anthony, S. (2009). Agroforestry Database: A Tree Reference and Selection Guide Version 4.0, World Agroforestry Centre. Available online: http://worldagroforestry.org/output/agroforestree-database.

5. NRC (2006). Lost Crops of Africa. Volume II: Vegetables, The National Academies Press.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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