TY  - JA
AU  - Garin,V.
AU  - Chiaka Diallo
AU  - Mohamed Lamine Tékété
AU  - Korotimi Théra
AU  - Guitton, B.
AU  - Karim Dagno
AU  - Abdoulaye Diallo
AU  - Kouressy,M.
AU  - Leiser,W.
AU  - Rattunde,F.
AU  - Sissoko,I.
AU  - Touré,A.
AU  - Nebie,B.
AU  - Moussa Samaké
AU  - Kholova,J.
AU  - Berger,A.
AU  - Frouin,J.
AU  - Pot,D.
AU  - Vaksmann,M.
AU  - Weltzien-Rattunde,E.
AU  - Niaba Témé
AU  - Rami,J.F.
TI  - Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping
SN  - 0016-6731
PY  - 2024///
CY  - United Kingdom
PB  - Oxford University Press, 
KW  - Genotype environment interaction
KW  - AGROVOC
KW  - Adaptation
KW  - Genetic maps
KW  - Association mapping
KW  - Quantitative Trait Loci
KW  - Sorghum
N1  - Peer review; Open Access
N2  - Identifying the genetic factors impacting the adaptation of crops to environmental conditions is of key interest for conservation and selection purposes. It can be achieved using population genomics, and evolutionary or quantitative genetics. Here we present a sorghum multireference back-cross nested association mapping population composed of 3,901 lines produced by crossing 24 diverse parents to 3 elite parents from West and Central Africa-back-cross nested association mapping. The population was phenotyped in environments characterized by differences in photoperiod, rainfall pattern, temperature levels, and soil fertility. To integrate the multiparental and multi-environmental dimension of our data we proposed a new approach for quantitative trait loci (QTL) detection and parental effect estimation. We extended our model to estimate QTL effect sensitivity to environmental covariates, which facilitated the integration of envirotyping data. Our models allowed spatial projections of the QTL effects in agro-ecologies of interest. We utilized this strategy to analyze the genetic architecture of flowering time and plant height, which represents key adaptation mechanisms in environments like West Africa. Our results allowed a better characterization of well-known genomic regions influencing flowering time concerning their response to photoperiod with Ma6 and Ma1 being photoperiod-sensitive and the region of possible candidate gene Elf3 being photoperiod-insensitive. We also accessed a better understanding of plant height genetic determinism with the combined effects of phenology-dependent (Ma6) and independent (qHT7.1 and Dw3) genomic regions. Therefore, we argue that the West and Central Africa-back-cross nested association mapping and the presented analytical approach constitute unique resources to better understand adaptation in sorghum with direct application to develop climate-smart varieties
UR  - https://hdl.handle.net/10883/35042
DO  - https://doi.org/10.1093/genetics/iyae003
T2  - Genetics
ER  -