Literature DB >> 12589552

Mapping and characterisation of QTL x E interactions for traits determining grain and stover yield in pearl millet.

R S Yadav1, F R Bidinger, C T Hash, Y P Yadav, O P Yadav, S K Bhatnagar, C J Howarth.   

Abstract

A mapping population of 104 F(3) lines of pearl millet, derived from a cross between two inbred lines H 77/833-2 x PRLT 2/89-33, was evaluated, as testcrosses on a common tester, for traits determining grain and stover yield in seven different field trials, distributed over 3 years and two seasons. The total genetic variation was partitioned into effects due to season (S), genotype (G), genotype x season interaction (G x S), and genotype x environment-within-season interaction [G x E(S)]. QTLs were determined for traits for their G, G x S, and G x E(S) effects, to assess the magnitude and the nature (cross over/non-crossover) of environmental interaction effects on individual QTLs. QTLs for some traits were associated with G effects only, while others were associated with the effects of both G and G x S and/or G, G x S and G x E(S) effects. The major G x S QTLs detected were for flowering time (on LG 4 and LG 6), and mapped to the same intervals as G x S QTLs for several other traits (including stover yield, harvest index, biomass yield and panicle number m(-2)). All three QTLs detected for grain yield were unaffected by G x S interaction however. All three QTLs for stover yield (mapping on LG 2, LG 4 and LG 6) and one of the three QTLs for grain yield (mapping on LG 4) were also free of QTL x E(S) interactions. The grain yield QTLs that were affected by QTL x E(S) interactions (mapping on LG 2 and LG 6), appeared to be linked to parallel QTL x E(S) interactions of the QTLs for panicle number m(-2) on (LG 2) and of QTLs for both panicle number m(-2) and harvest index (LG 6). In general, QTL x E(S) interactions were more frequently observed for component traits of grain and stover yield, than for grain or stover yield per se.

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Year:  2002        PMID: 12589552     DOI: 10.1007/s00122-002-1081-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  18 in total

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Authors:  Bing Song Zheng; Jacques Le Gouis; Martine Leflon; Wen Ying Rong; Anne Laperche; Maryse Brancourt-Hulmel
Journal:  Theor Appl Genet       Date:  2010-08-10       Impact factor: 5.699

2.  QTL analysis for yield components and kernel-related traits in maize across multi-environments.

Authors:  Bo Peng; Yongxiang Li; Yang Wang; Cheng Liu; Zhizhai Liu; Weiwei Tan; Yan Zhang; Di Wang; Yunsu Shi; Baocheng Sun; Yanchun Song; Tianyu Wang; Yu Li
Journal:  Theor Appl Genet       Date:  2011-02-01       Impact factor: 5.699

Review 3.  Exploration of Genetic and Genomic Resources for Abiotic and Biotic Stress Tolerance in Pearl Millet.

Authors:  Radha Shivhare; Charu Lata
Journal:  Front Plant Sci       Date:  2017-01-23       Impact factor: 5.753

4.  QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.).

Authors:  N O I Cogan; K F Smith; T Yamada; M G Francki; A C Vecchies; E S Jones; G C Spangenberg; J W Forster
Journal:  Theor Appl Genet       Date:  2004-11-19       Impact factor: 5.699

Review 5.  Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.

Authors:  Mandeep Singh; Usha Nara
Journal:  Plant Biotechnol Rep       Date:  2022-06-06       Impact factor: 2.496

6.  An integrated genetic map and a new set of simple sequence repeat markers for pearl millet, Pennisetum glaucum.

Authors:  X Qi; T S Pittaway; S Lindup; H Liu; E Waterman; F K Padi; C T Hash; J Zhu; M D Gale; K M Devos
Journal:  Theor Appl Genet       Date:  2004-08-18       Impact factor: 5.699

7.  Quantitative trait loci (QTLs) for water use and crop production traits co-locate with major QTL for tolerance to water deficit in a fine-mapping population of pearl millet (Pennisetum glaucum L. R.Br.).

Authors:  Murugesan Tharanya; Jana Kholova; Kaliamoorthy Sivasakthi; Deepmala Seghal; Charles Tom Hash; Basker Raj; Rakesh Kumar Srivastava; Rekha Baddam; Thiyagarajan Thirunalasundari; Rattan Yadav; Vincent Vadez
Journal:  Theor Appl Genet       Date:  2018-04-21       Impact factor: 5.699

8.  II.1.5 Phenotyping pearl millet for adaptation to drought.

Authors:  Vincent Vadez; Tom Hash; Francis R Bidinger; Jana Kholova
Journal:  Front Physiol       Date:  2012-10-19       Impact factor: 4.566

9.  Pearl millet [Pennisetum glaucum (L.) R. Br.] consensus linkage map constructed using four RIL mapping populations and newly developed EST-SSRs.

Authors:  Vengaldas Rajaram; Thirunavukkarasu Nepolean; Senapathy Senthilvel; Rajeev K Varshney; Vincent Vadez; Rakesh K Srivastava; Trushar M Shah; Ambawat Supriya; Sushil Kumar; Basava Ramana Kumari; Amindala Bhanuprakash; Mangamoori Lakshmi Narasu; Oscar Riera-Lizarazu; Charles Thomas Hash
Journal:  BMC Genomics       Date:  2013-03-09       Impact factor: 3.969

10.  Using genotype x nitrogen interaction variables to evaluate the QTL involved in wheat tolerance to nitrogen constraints.

Authors:  Anne Laperche; Maryse Brancourt-Hulmel; Emmanuel Heumez; Olivier Gardet; Eric Hanocq; Florence Devienne-Barret; Jacques Le Gouis
Journal:  Theor Appl Genet       Date:  2007-06-14       Impact factor: 5.574

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