Literature DB >> 11441657

[Analysis of QTL x environment interaction for rice panicle characteristics].

Y Z Xing1, C G Xu, J P Hua, Y F Tan.   

Abstract

The development of molecular genetic linkage map has accelerated the identification and mapping of genomics regions controlling quantitative trait loci. A recombinant inbred line population derived from Zhenshan 97/Minghui 63 was grown in two years. Mixed linear model approach was used to jointly identify QTLs and QTL x environment interactions for five panicle characteristics. Ten, three, six, eight and seven QTLs were detected for spiketets per panicle, grains per panicle, seed setting, panicle length and panicle setting density, respectively. They collectively explained 29.13%, 19.2%, 29.46%, 26.39% and 35.76% of phenotypic variations for these traits, respectively. For the five traits, QTLs with increasing effects and decreasing effects could be simultaneously identified in high value parent and low value parent. QTLs for correlative traits clustering located in the similar regions. One QTL for panicle length, two QTLs for spikelets per panicle and three QTLs for seed setting performed significant interactions with environment. The contributions from interactions were slightly larger than that from the QTLs involved in the interactions. No QTL x environment interaction was detected for traits with high heritabilities such as grains per panicle and panicle setting density.

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Year:  2001        PMID: 11441657

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  3 in total

1.  Comparison of quantitative trait loci for rice yield, panicle length and spikelet density across three connected populations.

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Journal:  J Genet       Date:  2011-08       Impact factor: 1.166

2.  Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis.

Authors:  Ehsan Shakiba; Jeremy D Edwards; Farman Jodari; Sara E Duke; Angela M Baldo; Pavel Korniliev; Susan R McCouch; Georgia C Eizenga
Journal:  PLoS One       Date:  2017-03-10       Impact factor: 3.240

3.  Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions.

Authors:  Anshuman Singh; Jerome Carandang; Zennia Jean C Gonzaga; Bertrand C Y Collard; Abdelbagi M Ismail; Endang M Septiningsih
Journal:  Rice (N Y)       Date:  2017-04-20       Impact factor: 4.783

  3 in total

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