@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}
}
@article {47697,
	title = {Genome wide analysis of 14-3-3 proteins in Cicer arietinum L. and identification of isoforms responsive to Fusarium oxysporum},
	journal = {Current Science},
	volume = {121},
	year = {2021},
	month = {OCT },
	pages = {1039-1045},
	type = {Article},
	abstract = {In the present study, we have identified and characterized two 14-3-3 isoforms, namely isoform A and C from chickpea (Cicer arietinum L.), that might play a crucial role during disease resistance. Further, in silico analysis of these 14-3-3 proteins was accomplished, including motif identification and structure prediction from deduced amino acid sequences. Expression profiling of the two representative 14-3-3 isoforms in the roots of wilt resistant and susceptible chickpea varieties upon Fusarium oxysporum f. sp ciceri race 1 (FOC1) challenge, revealed time dependent isoform specific differential expression in induced chickpea roots upon FOC1 colonization.},
	keywords = {Bioinformatics, chickpea 14-3-3s, pathogen responsive, transcriptional analysis},
	issn = {0011-3891},
	doi = {10.18520/cs/v121/i8/1039-1045},
	author = {Gurjar, Gayatri and Nimbalkar, Suhas and Giri, Ashok and Gupta, Vidya}
}
