Literature DB >> 15475373

Breeding for high water-use efficiency.

A G Condon1, R A Richards, G J Rebetzke, G D Farquhar.   

Abstract

There is a pressing need to improve the water-use efficiency of rain-fed and irrigated crop production. Breeding crop varieties with higher water-use efficiency is seen as providing part of the solution. Three key processes can be exploited in breeding for high water-use efficiency: (i) moving more of the available water through the crop rather than it being wasted as evaporation from the soil surface or drainage beyond the root zone or being left behind in the root zone at harvest; (ii) acquiring more carbon (biomass) in exchange for the water transpired by the crop, i.e. improving crop transpiration efficiency; (iii) partitioning more of the achieved biomass into the harvested product. The relative importance of any one of these processes will vary depending on how water availability varies during the crop cycle. However, these three processes are not independent. Targeting specific traits to improve one process may have detrimental effects on the other two, but there may also be positive interactions. Progress in breeding for improved water-use efficiency of rain-fed wheat is reviewed to illustrate the nature of some of these interactions and to highlight opportunities that may be exploited in other crops as well as potential pitfalls. For C3 species, measuring carbon isotope discrimination provides a powerful means of improving water-use efficiency of leaf gas exchange, but experience has shown that improvements in leaf-level water-use efficiency may not always translate into higher crop water-use efficiency or yield. In fact, the reverse has frequently been observed. Reasons for this are explored in some detail. Crop simulation modelling can be used to assess the likely impact on water-use efficiency and yield of changing the expression of traits of interest. Results of such simulations indicate that greater progress may be achieved by pyramiding traits so that potential negative effects of individual traits are neutralized. DNA-based selection techniques may assist in such a strategy.

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Year:  2004        PMID: 15475373     DOI: 10.1093/jxb/erh277

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


  149 in total

1.  Genome-wide association study (GWAS) of carbon isotope ratio (δ13C) in diverse soybean [Glycine max (L.) Merr.] genotypes.

Authors:  Arun Prabhu Dhanapal; Jeffery D Ray; Shardendu K Singh; Valerio Hoyos-Villegas; James R Smith; Larry C Purcell; C Andy King; Perry B Cregan; Qijian Song; Felix B Fritschi
Journal:  Theor Appl Genet       Date:  2014-11-04       Impact factor: 5.699

2.  From GCM grid cell to agricultural plot: scale issues affecting modelling of climate impact.

Authors:  Christian Baron; Benjamin Sultan; Maud Balme; Benoit Sarr; Seydou Traore; Thierry Lebel; Serge Janicot; Michael Dingkuhn
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-11-29       Impact factor: 6.237

3.  Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency.

Authors:  Gang-Ping Xue; C Lynne McIntyre; Scott Chapman; Neil I Bower; Heather Way; Antonio Reverter; Bryan Clarke; Ray Shorter
Journal:  Plant Mol Biol       Date:  2006-08       Impact factor: 4.076

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

Review 5.  The importance of nutritional regulation of plant water flux.

Authors:  Michael D Cramer; Heidi-Jayne Hawkins; G Anthony Verboom
Journal:  Oecologia       Date:  2009-05-16       Impact factor: 3.225

6.  The genetic basis of water-use efficiency and yield in lettuce.

Authors:  Annabelle Damerum; Hazel K Smith; Gjj Clarkson; Maria José Truco; Richard W Michelmore; Gail Taylor
Journal:  BMC Plant Biol       Date:  2021-05-27       Impact factor: 4.215

7.  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

8.  How yield relates to ash content, Delta 13C and Delta 18O in maize grown under different water regimes.

Authors:  Llorenç Cabrera-Bosquet; Ciro Sánchez; José Luis Araus
Journal:  Ann Bot       Date:  2009-09-22       Impact factor: 4.357

9.  Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability.

Authors:  Marco Maccaferri; Maria Corinna Sanguineti; Simona Corneti; José Luis Araus Ortega; Moncef Ben Salem; Jordi Bort; Enzo DeAmbrogio; Luis Fernando Garcia del Moral; Andrea Demontis; Ahmed El-Ahmed; Fouad Maalouf; Hassan Machlab; Vanessa Martos; Marc Moragues; Jihan Motawaj; Miloudi Nachit; Nasserlehaq Nserallah; Hassan Ouabbou; Conxita Royo; Amor Slama; Roberto Tuberosa
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

10.  Water-use responses of 'living fossil' conifers to CO2 enrichment in a simulated Cretaceous polar environment.

Authors:  Laura Llorens; Colin P Osborne; David J Beerling
Journal:  Ann Bot       Date:  2009-05-15       Impact factor: 4.357

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