@article{fdi:010080624, title = {{I}mproved genetic map identified major {QTL}s for drought tolerance- and iron deficiency tolerance-related traits in groundnut}, author = {{P}andey, {M}. {K}. and {G}angurde, {S}. {S}. and {S}harma, {V}. and {P}attanashetti, {S}. {K}. and {N}aidu, {G}. {K}. and {F}aye, {I}. and {H}amidou, {F}. and {D}esmae, {H}. and {K}ane, {N}. {A}. and {Y}uan, {M}. and {V}adez, {V}incent and {N}igam, {S}. {N}. and {V}arshney, {R}. {K}.}, editor = {}, language = {{ENG}}, abstract = {{A} deep understanding of the genetic control of drought tolerance and iron deficiency tolerance is essential to hasten the process of developing improved varieties with higher tolerance through genomics-assisted breeding. {I}n this context, an improved genetic map with 1205 loci was developed spanning 2598.3 c{M} with an average 2.2 c{M} distance between loci in the recombinant inbred line ({TAG} 24 x {ICGV} 86031) population using high-density 58{K} single nucleotide polymorphism ({SNP}) "{A}xiom_{A}rachis" array. {Q}uantitative trait locus ({QTL}) analysis was performed using extensive phenotyping data generated for 20 drought tolerance- and two iron deficiency tolerance-related traits from eight seasons (2004-2015) at two locations in {I}ndia, one in {N}iger, and one in {S}enegal. {T}he genome-wide {QTL} discovery analysis identified 19 major main-effect {QTL}s with 10.0-33.9% phenotypic variation explained ({PVE}) for drought tolerance- and iron deficiency tolerance- related traits. {M}ajor main-effect {QTL}s were detected for haulm weight (20.1% {PVE}), {SCMR} (soil plant analytical development ({SPAD}) chlorophyll meter reading, 22.4% {PVE}), and visual chlorosis rate (33.9% {PVE}). {S}everal important candidate genes encoding glycosyl hydrolases; malate dehydrogenases; microtubule-associated proteins; and transcription factors such as {MADS}-box, basic helix-loop-helix (b{HLH}), {NAM}, {ATAF}, and {CUC} ({NAC}), and myeloblastosis ({MYB}) were identified underlying these {QTL} regions. {T}he putative function of these genes indicated their possible involvement in plant growth, development of seed and pod, and photosynthesis under drought or iron deficiency conditions in groundnut. {T}hese genomic regions and candidate genes, after validation, may be useful to develop molecular markers for deploying genomics-assisted breeding for enhancing groundnut yield under drought stress and iron-deficient soil conditions.}, keywords = {abiotic stress ; {A}rachis hypogaea ; map density ; {SNP} array ; genetic map ; genomics-assisted breeding ; peanut}, booktitle = {}, journal = {{G}enes}, volume = {12}, numero = {1}, pages = {37 [22 p.]}, year = {2021}, DOI = {10.3390/genes12010037}, URL = {https://www.documentation.ird.fr/hor/fdi:010080624}, }