Literature DB >> 16997901

Whole plant responses, key processes, and adaptation to drought stress: the case of rice.

H R Lafitte1, Guan Yongsheng, Shi Yan, Z-K Li.   

Abstract

Most high-yielding rice cultivars developed for irrigated conditions, including the widely grown lowland variety IR64, are highly susceptible to drought stress. This limits their adoption in rainfed rice environments where there is a risk of water shortage during the growing season. Mapping studies using lowland-by-upland rice populations have provided limited information about the genetic basis of variation in yield under drought. One approach to simultaneously improve and understand rice drought tolerance is to generate backcross populations, select superior lines in managed stress environments, and then evaluate which features of the selected lines differ from the recurrent parent. This approach was been taken with IR64, using a range of tolerant and susceptible cultivars as donor parents. Yields of the selected lines measured across 13 widely contracting water environments were generally greater than IR64, but genotype-by-environment effects were large. Traits expected to vary between IR64 and selected lines are plant height, because many donors were not semi-dwarf types, and maturity, because selection in a terminal stress environment is expected to favour earliness. In these experiments it was found that some lines that performed better under upland drought were indeed taller than IR64, but that shorter lines with good yield under drought could also be identified. In trials where drought stress developed in previously flooded (lowland) fields, height was not associated with performance. There was little change in maturity with selection. Other notable differences between IR64 and the selected backcross lines were in their responses to applied ABA and ethylene in greenhouse experiments at the vegetative stage and in leaf rolling observed under chronic upland stress in the field. These observations are consistent with the hypothesis that adaptive responses to drought can effectively allow for improved performance across a broad range of water environments. The results indicate that the yield of IR64 under drought can be significantly improved by backcrossing with selection under stress. In target environments where drought is infrequent but significant in certain years, improved IR64 with greater drought tolerance would be a valuable option for farmers.

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Year:  2006        PMID: 16997901     DOI: 10.1093/jxb/erl101

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  37 in total

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Authors:  Ch Surendhar Reddy; A Prasad Babu; B P Mallikarjuna Swamy; K Kaladhar; N Sarla
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2.  Transcription dynamics of Saltol QTL localized genes encoding transcription factors, reveals their differential regulation in contrasting genotypes of rice.

Authors:  Kamlesh K Nutan; Hemant R Kushwaha; Sneh L Singla-Pareek; Ashwani Pareek
Journal:  Funct Integr Genomics       Date:  2016-11-15       Impact factor: 3.410

3.  Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments.

Authors:  Miroslav Zorić; Dejan Dodig; Borislav Kobiljski; Steve Quarrie; Jeremy Barnes
Journal:  Genetica       Date:  2012-09-12       Impact factor: 1.082

4.  Protein repair L-isoaspartyl methyltransferase 1 (PIMT1) in rice improves seed longevity by preserving embryo vigor and viability.

Authors:  Yidong Wei; Huibin Xu; Lirong Diao; Yongsheng Zhu; Hongguang Xie; Qiuhua Cai; Fangxi Wu; Zonghua Wang; Jianfu Zhang; Huaan Xie
Journal:  Plant Mol Biol       Date:  2015-10-05       Impact factor: 4.076

Review 5.  Understanding Past, and Predicting Future, Niche Transitions based on Grass Flowering Time Variation.

Authors:  Jill C Preston; Siri Fjellheim
Journal:  Plant Physiol       Date:  2020-05-13       Impact factor: 8.340

6.  Three genetic systems controlling growth, development and productivity of rice (Oryza sativa L.): a reevaluation of the 'Green Revolution'.

Authors:  Fan Zhang; Yun-Zhu Jiang; Si-Bin Yu; J Ali; A H Paterson; G S Khush; Jian-Long Xu; Yong-Ming Gao; Bin-Ying Fu; R Lafitte; Zhi-Kang Li
Journal:  Theor Appl Genet       Date:  2013-02-12       Impact factor: 5.699

Review 7.  Breeding for abiotic stresses for sustainable agriculture.

Authors:  J R Witcombe; P A Hollington; C J Howarth; S Reader; K A Steele
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-27       Impact factor: 6.237

8.  Identification of drought-responsive genes in roots of upland rice (Oryza sativa L).

Authors:  Aline R Rabello; Cléber M Guimarães; Paulo H N Rangel; Felipe R da Silva; Daniela Seixas; Emanuel de Souza; Ana C M Brasileiro; Carlos R Spehar; Márcio E Ferreira; Angela Mehta
Journal:  BMC Genomics       Date:  2008-10-15       Impact factor: 3.969

9.  Dissecting rice polyamine metabolism under controlled long-term drought stress.

Authors:  Phuc Thi Do; Thomas Degenkolbe; Alexander Erban; Arnd G Heyer; Joachim Kopka; Karin I Köhl; Dirk K Hincha; Ellen Zuther
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

10.  Genetic, physiological, and gene expression analyses reveal that multiple QTL enhance yield of rice mega-variety IR64 under drought.

Authors:  B P Mallikarjuna Swamy; Helal Uddin Ahmed; Amelia Henry; Ramil Mauleon; Shalabh Dixit; Prashant Vikram; Ram Tilatto; Satish B Verulkar; Puvvada Perraju; Nimai P Mandal; Mukund Variar; S Robin; Ranganath Chandrababu; Onkar N Singh; Jawaharlal L Dwivedi; Sankar Prasad Das; Krishna K Mishra; Ram B Yadaw; Tamal Lata Aditya; Biswajit Karmakar; Kouji Satoh; Ali Moumeni; Shoshi Kikuchi; Hei Leung; Arvind Kumar
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

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