Genetic variability and trait association under thrips (Megalurothrips sjostedti Trybom) infestation in cowpea (Vigna unguiculata [L.] Walp.)

Author:

Toyinbo Johnson OluwaseyiORCID,Fatokun Christian,Boukar Ousmane,Fakorede Morakinyo Abiodun Bamidele

Abstract

AbstractFlower bud thrips is one of the most destructive insect pests of cowpea in sub-Saharan Africa. Information on genetic variability among cowpea germplasm and interrelationships among traits under thrips infestation would facilitate the development of resistant varieties. The objectives of the study were to assess genetic variability for thrips resistance, estimate heritability of yield and other traits and investigate inter-trait relationships under thrips infestation. One hundred and fifty-six cowpea lines, including one resistant and one susceptible check, were screened for resistance under natural infestation at two locations in Nigeria, in 2016. Test lines were scored for thrips damage weekly for three consecutive weeks, after removal of spreader plants, to obtain damage scores (DS) 1, 2 and 3 while data were collected on agronomic traits. The data were subjected to analysis of variance from which genetic components of the phenotypic variance were computed. Interrelationships among traits were determined using phenotypic and genotypic correlation, and sequential path analyses. Significant variability was observed among test lines. Lines TVu 6824 and TVNu 1307 were identified as possessing thrips resistance. DS3 had significant genetic and phenotypic correlations with DS1, DS2 and yield-related traits. Number of pods per peduncle, number of peduncles per plant and DS3 were identified as first-order traits. Heritability estimates ranged from 0.55 to 0.73. Genetic variability among the lines suggests the possibility of genetic control of thrips while number of pods per peduncle, number of peduncles per plant and DS3 would serve as useful selection criteria for thrips resistance.

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Genetics,Agronomy and Crop Science

Reference27 articles.

1. Agbahoungba S, Karungi J, Odong TL, Badji A, Sadik K, Rubaihayo PR (2017) Stability and extent of resistance of cowpea lines to flower bud thrips in Uganda. Afr Crop Sci J 25(1):1–24

2. Badu-Apraku B, Akinwale RO, Oyekunle M (2014) Efficiency of secondary traits in selecting for improved grain yield in extra-early maize under Striga-infested and Striga-free environments. Maydica 55:261–274

3. Boukar O, Fatokun CA, Huynh B, Roberts PA, Close TJ (2016) Genomic tools in cowpea breeding programs: status and perspectives. Front Plant Sci 7:757. https://doi.org/10.3389/fpls.2016.00757

4. Doumbia IZ, Boukar O, Tamo M, Tignegre J, Fatokun CA, Togola A, Tongoona P, Ayertey JN (2019) Evaluation of cowpea accessions for resistance to flower bud thrips (Megalurothrips sjostedti) in Mali. J Genet Genom Plant Breed 3(2):15–30

5. Ekvised S, Jogby S, Akkasaeng C, Keerati-Kasikorn M, Kesmala T, Buddhasimma I, Patanothai A (2006) Heritability and correlation of thrips resistance and agronomic traits in peanut. Asian J Plant Sci 5(6):923–937

Cited by 5 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

1. Genomics-Enabled Breeding for Sustainable Management of Pests and Diseases in Cowpea;Genomics-aided Breeding Strategies for Biotic Stress in Grain Legumes;2024

2. Recent advances in cowpea IPM in West Africa;Frontiers in Agronomy;2023-08-21

3. Enhancing Betel Nut Pest and Disease Identification in Hainan, China with Swin Transformer-YOLOv5: A Machine Learning-Based Approach for Improved Precision;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

4. Thrips in genusMegalurothrips(Thysanoptera: Thripidae): biodiversity, bioecology, and IPM;Journal of Integrated Pest Management;2023-01-01

5. Identification of Crop Diseases and Insect Pests Based on Deep Learning;Scientific Programming;2022-01-19

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