eprintid: 8769
rev_number: 19
eprint_status: archive
userid: 1305
dir: disk0/00/00/87/69
datestamp: 2015-06-09 09:35:23
lastmod: 2016-10-21 08:37:12
status_changed: 2015-06-09 09:35:23
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Faye, I
creators_name: Pandey, M K
creators_name: Hamidou, F
creators_name: Rathore, A
creators_name: Ndoye, O
creators_name: Vadez, V
creators_name: Varshney, R K
icrisatcreators_name: Pandey, M K
icrisatcreators_name: Hamidou, F
icrisatcreators_name: Rathore, A
icrisatcreators_name: Vadez, V
icrisatcreators_name: Varshney, R K
affiliation: Institut Sénégalais de Recherches Agricoles (ISRA)-Centre National de Recherches Agronomiques (CNRA) (Bambey)
affiliation: ICRISAT(Patancheru)
affiliation: ICRISAT (Niamey)
affiliation: Department of Biology, Faculty of Sciences, University Abdou Moumouni (Niamey)
country: Senegal
country: India
country: Niger
title: Identification of quantitative trait loci for yield and yield related traits in groundnut (Arachis hypogaea L.) under different water regimes in Niger and Senegal
ispublished: pub
subjects: s1.3
divisions: D3
crps: crp1.5
full_text_status: restricted
keywords: Drought tolerance; Epistatic QTLs; Main-effect QTLs; Pod yield; Quantitative trait locus
abstract: Yield under drought stress is a highly complex trait with large influence to even a minor fluctuation in the environmental conditions. Genomics-assisted breeding holds great promise for improving such complex traits more efficiently in less time, but requires markers associated with the trait of interest. In this context, a recombinant inbred line mapping population (TAG 24 × ICGV 86031) was used to identify markers associated with quantitative trait loci (QTLs) for yield and yield related traits at two important locations of West Africa under well watered and water stress conditions. Among the traits analyzed under WS condition, the harvest index (HI) and the haulm yield (HYLD) were positively correlated with the pod yield (PYLD) and showed intermediate broad sense heritability. QTL analysis using phenotyping and genotyping data resulted in identification of 52 QTLs. These QTLs had low phenotypic variance (<12 %) for all the nine traits namely plant height, primary branching, SPAD chlorophyll meter reading, percentage of sound mature kernels, 100 kernel weight, shelling percentage, HI, HYLD and PYLD. Interestingly, few QTLs identified in this study were also overlapped with previously reported QTLs detected for drought tolerance related traits identified earlier in Indian environmental conditions using the same mapping population. Accumulating these many small-effect QTLs into a single genetic background is nearly impossible through marker-assisted backcrossing and even marker-assisted recurrent selection. Under such circumstances, the deployment of genomic selection is the most appropriate approach for improving such complex traits with more precision and in less time.
date: 2015-05
date_type: published
publication: Euphytica
volume: 206
number: 3
publisher: Springer Netherlands
pagerange: 631-647
id_number: 10.1007/s10681-015-1472-6
refereed: TRUE
issn: 1573-5060
official_url: http://link.springer.com/article/10.1007/s10681-015-1472-6/fulltext.html
related_url_url: http://scholar.google.co.in/scholar?as_q=Identification+of+quantitative+trait+loci+for+yield+and+yield+related+traits+in+groundnut+%28Arachis+hypogaea+L.%29+under+different+water+regimes+in+Niger+and+Senegal&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors
related_url_type: pub
citation:   Faye, I and Pandey, M K and Hamidou, F and Rathore, A and Ndoye, O and Vadez, V and Varshney, R K  (2015) Identification of quantitative trait loci for yield and yield related traits in groundnut (Arachis hypogaea L.) under different water regimes in Niger and Senegal.  Euphytica, 206 (3).  pp. 631-647.  ISSN 1573-5060     
document_url: http://oar.icrisat.org/8769/1/Euphytica_206_3_631%E2%80%93647_2015.pdf