@article { ISI:000256601200022,
	title = {Molecular genetic mapping of quantitative trait loci associated with loaf volume in hexaploid wheat (Triticum aestivum)},
	journal = {Journal of Cereal Science},
	volume = {47},
	number = {3},
	year = {2008},
	month = {MAY},
	pages = {587-598},
	publisher = {ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD},
	type = {Article},
	address = {24-28 OVAL RD, LONDON NW1 7DX, ENGLAND},
	abstract = {<p>Major efforts in wheat research are being made to improve the yield and quality of wheat. Loaf volume (Lv) is the main quality parameter deciding the bread making potential of wheat. To genetically dissect quantitative trait loci (QTLs) for Lv, a Recombinant Inbred Line (RIL) population (F-8) was developed from a cross between two Indian wheat varieties {\textquoteleft}{\textquoteleft}H 1977{\textquoteright}{\textquoteright} and {\textquoteleft}{\textquoteleft}HD 2329{\textquoteright}{\textquoteright}. A total of 914 SSR and 100 ISSR primers were used for molecular analysis and the genetic map comprising 19 chromosomes was constructed with 202 SSR markers and 2 HMW glutenin subunit loci: Glu-B1 and Glu-B1. The phenotypic data were collected from six environments including three different agro-climatic zones for 2 consecutive years. Dissection of Lv through AMMI model revealed significant G x E variance for the trait. QTL analysis was performed using composite interval mapping. A total of 30 QTLs for Lv were detected and significant QTLs were identified on 6B and 6D chromosomes; 1B, 1D, 2A, 3A, 513 and 5D also contributed genetically to Lv. Association between 6B and 6D QTLs and variable expression of gliadins on group 6 chromosomes were discussed. QTLs detected in this study were compared with other QTL analysis in wheat. (C) 2007 Elsevier Ltd. All rights reserved.</p>},
	keywords = {breadmaking, loaf volume, QTL, SSR, wheat quality},
	issn = {0733-5210},
	doi = {10.1016/j.jcs.2007.07.003},
	author = {Elangovan, M. and Rai, R. and Dholakia, Bhushan B. and Lagu, Meena D. and Tiwari, R. and Gupta, R. K. and Rao, V. S. and Roeder, M. S. and Gupta, V. S.}
}
@article { ISI:000358630800013,
	title = {Genotype x environment interactions and QTL clusters underlying dough rheology traits in triticum aestivum L.},
	journal = {Journal of Cereal Science},
	volume = {64},
	year = {2015},
	month = {JUL},
	pages = {82-91},
	publisher = {ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD},
	address = {24-28 OVAL RD, LONDON NW1 7DX, ENGLAND},
	abstract = {<p>Genetic dissection of dough rheology traits (DRT) in hexaploid wheat was carried out using nine mixograph characters evaluated in two consecutive years in three agro-climatic zones in India in an RIL population (HI977 x HD2329). Pearson correlations determined in each year-location indicated 15 stable trait inter-relationships among them but inconsistent correlations with loaf volume (LV) were observed. Using AMMI analysis we derived patterns in G x E interactions (GEI) indicating 6-47\% contribution for the DRT. Composite interval mapping using a linkage map of 202 SSR markers identified 144 DRT QTLs of which, 96 were detected in single- and the rest in two to five year-locations. Sixteen QTL clusters located on ten chromosomes were identified and only three of them on chromosomes 1B, 5B and 6D involved LV QTLs. For each trait, majority of the DRT QTLs detected in single as well as multiple environments showed location-specificity and suggested that owing to GEI, breeding for wheat dough quality might need careful selection of QTLs targeted for individual agro-climatic zones. The inconsistent correlations of DRT and LV and differential locations of their QTLs in this population corroborated that using dough rheological traits alone to predict LV might pose challenges during wheat improvement. (C) 2015 Elsevier Ltd. All rights reserved.</p>},
	keywords = {AMMI analysis, Dough rheology, Mixograph, QTL},
	issn = {0733-5210},
	doi = {10.1016/j.jcs.2015.05.002},
	author = {Prashant, Ramya and Mani, Elangovan and Rai, Richa and Gupta, R. K. and Tiwari, Ratan and Dholakia, Bhushan B. and Oak, Manoj and Roeder, Marion and Kadoo, Narendra Y. and Gupta, Vidya}
}
