2020
DOI: 10.1186/s12864-020-06859-6
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High resolution mapping of restoration of fertility (Rf) by combining large population and high density genetic map in pigeonpea [Cajanus cajan (L.) Millsp]

Abstract: Background: Restoration of fertility (Rf) is an important trait for pigeonpea hybrid breeding. Few coarse quantitative trait locus (QTL) studies conducted in the past identified QTLs with large confidence intervals on the genetic map and could not provide any information on possible genes responsible for Rf in pigeonpea. Therefore, a larger population comprising of 369 F 2 s derived from ICPA 2039 × ICPL 87119 was genotyped with high density Axiom Cajanus SNP Array with 56 K single nucleotide polymorphism (SNP… Show more

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Cited by 10 publications
(2 citation statements)
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“…An F 2 mapping population derived by crossing ICPA 2039 × ICPL 87119 was used for high-density linkage map construction in the present study. A total of 336 progenies, along with parental lines, were genotyped using the “Axiom Cajanus SNP Array”, which resulted in the identification of 11,697 polymorphic markers [49] . The R/qtl package [50] from the R environment was used for linkage map construction.…”
Section: Methodsmentioning
confidence: 99%
“…An F 2 mapping population derived by crossing ICPA 2039 × ICPL 87119 was used for high-density linkage map construction in the present study. A total of 336 progenies, along with parental lines, were genotyped using the “Axiom Cajanus SNP Array”, which resulted in the identification of 11,697 polymorphic markers [49] . The R/qtl package [50] from the R environment was used for linkage map construction.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, because of the accessibility of NGS‐based high‐throughput marker systems, advancements in QTL mapping methodologies, and a rise in geneticists’ interest in genetic dissection studies, linkage‐based QTL mapping studies have recently become widespread. Just to exemplify, during the final writing of this paper, three linkage‐based QTL mapping studies were published (Saxena, Kale, et al., 2020; Saxena, Molla, et al., 2020; Singh, Sinha, et al., 2022), which reported the identification of several QTLs for fertility restoration, days to flowering, and yield‐related traits. Comparison of the physical positions of these QTLs with the physical coordinates of MQTLs revealed the co‐localization of five of these QTLs with three MQTLs (viz., CC_MQTL7.2, CC_MQTL8.2, and CC_MQTL8.4) identified during the present study.…”
Section: Discussionmentioning
confidence: 99%