Evidence map›Paper›PMID 39501154›Full record

ArticleBMC plant biology2024

Genetic characterization and mapping of the shell-strength trait in peanut.

Gilad Ben Israel, Srinivas Kunta, William Mlelwa, Arye Harel, Kapil Gupta, Yael Levy, Shmuel Galili, Ran Hovav

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Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gilad Ben IsraelDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel.
Srinivas KuntaDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel.
William MlelwaDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel.
Arye HarelFaculty of Agricultural, Food and the Environmental Quality Sciences, The Hebrew University of Jerusalem, P.O. Box 12, Rehovot, 7610001, Israel.
Kapil GuptaDepartment of Biotechnology, Siddharth University, Kapilvastu, Siddharthnagar, U.P, 272202, India.
Yael LevyDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel.
Shmuel GaliliDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel.
Ran HovavDepartment of Field Crops, Institute of Plant Sciences, Agriculture Research Organization, The Volcani Center, P.O. Box 15159, Rishon LeZion, 7505101, Israel. ranh@agri.gov.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShell strength is an important trait in peanuts that impacts shell breakage and yield. Despite its significance, the genetic basis of shell strength in peanuts remains largely unknown, and the current methods for rating this trait are qualitative and subjective. This study aimed to investigate the genetics of shell strength using a segregating recombinant-inbred-line (RIL) population derived from the hard-shelled cultivar 'Hanoch' and the soft-shelled cultivar 'Harari'.

resultsInitially, a quantitative method was developed using a texture analyzer, focusing on the proximal part of isolated shells with a P/5 punching probe. This method revealed significant differences between Hanoch and Harari. Shell strength was then measured in 235 RILs across two distinct environments, revealing a normal distribution with some RILs exhibiting shell strength values beyond those of the parental lines, indicating transgressive segregation. Analysis of variance indicated significant effects for the RILs, with no effects of block or year, and a broad-sense heritability estimate of 0.675, indicating a substantial genetic component. Using an existing genetic map, we identified three QTLs for shell strength, with one major QTL (qSSB02) explaining 18.7% of the phenotypic variation. The allelic status of qSSB02 corresponded significantly with cultivar designation for in-shell or shelled types over four decades of Israeli peanut breeding. Physical and compositional analyses revealed that Hanoch has a higher shell density than Harari, rather than any difference in shell thickness, and is associated with increased levels of lignin, cellulose, and crude fiber.

conclusionsThese findings provide valuable insights into the genetic and compositional factors that influence shell strength in peanut, laying a foundation for marker-assisted selection in breeding programs focused on improving pod hardness in peanuts.

Indexed as

ArachisChromosome MappingQuantitative Trait LociPhenotypeGenetic mappingPeanut shellQTLShell strengthVirginia-type peanut

Identifiers

PMID39501154
PMCPMC11536784

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.