Literature DB >> 11731488

Genomic dissection of genotype x environment interactions conferring adaptation of cotton to arid conditions.

Y Saranga1, M Menz, C X Jiang, R J Wright, D Yakir, A H Paterson.   

Abstract

The interaction of genotype with environment is of primary importance in many aspects of genomic research and is a special priority in the study of major crops grown in a wide range of environments. Water deficit, the major factor limiting plant growth and crop productivity worldwide, is expected to increase with the spread of arid lands. In genetically equivalent cotton populations grown under well-watered and water-limited conditions (the latter is responsible for yield reduction of approximately 50% relative to well-watered conditions), productivity and quality were shown to be partly accounted for by different quantitative trait loci (QTLs), indicating that adaptation to both arid and favorable conditions can be combined in the same genotype. QTL mapping was also used to test the association between productivity and quality under water deficit with a suite of traits often found to differ between genotypes adapted to arid versus well-watered conditions. In this study, only reduced plant osmotic potential was clearly implicated in improved cotton productivity under arid conditions. Genomic tools and approaches may expedite breeding of genotypes that respond favorably to specific environments, help test roles of additional physiological factors, and guide the isolation of genes that protect crop performance under arid conditions toward improved adaptation of crops to arid cultivation.

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Year:  2001        PMID: 11731488     DOI: 10.1101/gr.157201

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  39 in total

1.  A 3347-locus genetic recombination map of sequence-tagged sites reveals features of genome organization, transmission and evolution of cotton (Gossypium).

Authors:  Junkang Rong; Colette Abbey; John E Bowers; Curt L Brubaker; Charlene Chang; Peng W Chee; Terrye A Delmonte; Xiaoling Ding; Juan J Garza; Barry S Marler; Chan-hwa Park; Gary J Pierce; Katy M Rainey; Vipin K Rastogi; Stefan R Schulze; Norma L Trolinder; Jonathan F Wendel; Thea A Wilkins; T Dawn Williams-Coplin; Rod A Wing; Robert J Wright; Xinping Zhao; Linghua Zhu; Andrew H Paterson
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

2.  Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars.

Authors:  Arnold T W Kraakman; Rients E Niks; Petra M M M Van den Berg; Piet Stam; Fred A Van Eeuwijk
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

3.  Genetic mapping and comparative analysis of seven mutants related to seed fiber development in cotton.

Authors:  Junkang Rong; Gary J Pierce; Vijay N Waghmare; Carl J Rogers; Aparna Desai; Peng W Chee; O Lloyd May; John R Gannaway; Jonathan F Wendel; Thea A Wilkins; Andrew H Paterson
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

Review 4.  Improving water use in crop production.

Authors:  J I L Morison; N R Baker; P M Mullineaux; W J Davies
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-12       Impact factor: 6.237

5.  Cotton (Gossypium spp.) R2R3-MYB transcription factors SNP identification, phylogenomic characterization, chromosome localization, and linkage mapping.

Authors:  Chuanfu An; Sukumar Saha; Johnie N Jenkins; Din-Pow Ma; Brian E Scheffler; Russell J Kohel; John Z Yu; David M Stelly
Journal:  Theor Appl Genet       Date:  2008-03-13       Impact factor: 5.699

6.  Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development.

Authors:  Junkang Rong; F Alex Feltus; Vijay N Waghmare; Gary J Pierce; Peng W Chee; Xavier Draye; Yehoshua Saranga; Robert J Wright; Thea A Wilkins; O Lloyd May; C Wayne Smith; John R Gannaway; Jonathan F Wendel; Andrew H Paterson
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

7.  QTL alleles for improved fiber quality from a wild Hawaiian cotton, Gossypium tomentosum.

Authors:  Zhengsheng Zhang; Junkang Rong; Vijay N Waghmare; Peng W Chee; O Lloyd May; Robert J Wright; John R Gannaway; Andrew H Paterson
Journal:  Theor Appl Genet       Date:  2011-07-07       Impact factor: 5.699

8.  Towards salinity tolerance in Brassica: an overview.

Authors:  Ram Singh Purty; Gautam Kumar; Sneh L Singla-Pareek; Ashwani Pareek
Journal:  Physiol Mol Biol Plants       Date:  2008-06-15

9.  Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations.

Authors:  G J Rebetzke; A G Condon; G D Farquhar; R Appels; R A Richards
Journal:  Theor Appl Genet       Date:  2008-09-26       Impact factor: 5.699

10.  Mapping of quantitative trait loci controlling adaptive traits in coastal Douglas fir. III. Quantitative trait loci-by-environment interactions.

Authors:  Kathleen D Jermstad; Daniel L Bassoni; Keith S Jech; Gary A Ritchie; Nicholas C Wheeler; David B Neale
Journal:  Genetics       Date:  2003-11       Impact factor: 4.562

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