Evidence map›Paper›PMID 33518704›Full record

ArticleHorticulture research2021

Loci discovery, network-guided approach, and genomic prediction for drought tolerance index in a multi-parent advanced generation intercross (MAGIC) cowpea population.

Waltram Ravelombola, Ainong Shi, Bao-Lam Huynh

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Article in Horticulture research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

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33citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Application of Omics Technologies for Cowpea Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026
    Review
  2. Water stress tolerance, genomic selection and identification of genomic regions in a MAGIC population of eggplant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Waltram RavelombolaDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA. waltram.ravelombola@ag.tamu.edu.
Ainong ShiDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA. ashi@uark.edu.
Bao-Lam HuynhDepartment of Nematology, University of California, Riverside, CA, 92521, USA. baolam.huynh@ucr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cowpea is a nutrient-dense legume that significantly contributes to the population's diet in sub-Saharan Africa and other regions of the world. Improving cowpea cultivars to be more resilient to abiotic stress such as drought would be of great importance. The use of a multi-parent advanced generation intercross (MAGIC) population has been shown to be efficient in increasing the frequency of rare alleles that could be associated with important agricultural traits. In addition, drought tolerance index has been reported to be a reliable parameter for assessing crop tolerance to water-deficit conditions. Therefore, the objectives of this study were to evaluate the drought tolerance index for plant growth habit, plant maturity, flowering time, 100-seed weight, and grain yield in a MAGIC cowpea population, to conduct genome-wide association study (GWAS) and identify single nucleotide polymorphism (SNP) markers associated with the drought tolerance indices, to investigate the potential relationship existing between the significant loci associated with the drought tolerance indices, and to conduct genomic selection (GS). These analyses were performed using the existing phenotypic and genotypic data published for the MAGIC population which consisted of 305 F8 recombinant inbred lines (RILs) developed at University of California, Riverside. The results indicated that: (1) large variation in drought tolerance indices existed among the cowpea genotypes, (2) a total of 14, 18, 5, 5, and 35 SNPs were associated with plant growth habit change due to drought stress, and drought tolerance indices for maturity, flowering time, 100-seed weight, and grain yield, respectively, (3) the network-guided approach revealed clear interactions between the loci associated with the drought tolerance traits, and (4) the GS accuracy varied from low to moderate. These results could be applied to improve drought tolerance in cowpea through marker-assisted selection (MAS) and genomic selection (GS). To the best of our knowledge, this is the first report on marker loci associated with drought tolerance indices in cowpea.

Identifiers

PMID33518704
PMCPMC7848001

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