Evaluation of a reduced-tillering (tin) gene in wheat lines grown across different production environments
J. H. Mitchell A D E , S. C. Chapman A , G. J. Rebetzke B , D. G. Bonnett B C and S. Fukai DA CSIRO Plant Industry, Queensland Bioscience Precinct, 306 Carmody Road, St Lucia, Brisbane, Qld 4067, Australia.
B CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2601, Australia.
C Current address: CIMMYT Int., Apdo. Postal 6-641 06600 Mexico, D.F., Mexico.
D The University of Queensland, School of Agriculture and Food Sciences, Brisbane, Qld, 4072, Australia.
E Corresponding author. Email: jaquie.mitchell@uq.edu.au
Crop and Pasture Science 63(2) 128-141 https://doi.org/10.1071/CP11260
Submitted: 15 September 2011 Accepted: 17 February 2012 Published: 17 April 2012
Abstract
Post-anthesis water deficit and increasing vapour pressure deficit are common and can result in reduced grain yield and the development of small or shrivelled wheat kernels (screenings) that reduce grain value. Previous studies suggest incorporation of a tiller inhibition (tin) gene to restrict tiller number and thereby slow water use and promote the development of larger, fertile spikes to increase kernel weight. This paper reports on the influence of the tin gene on grain yield and screenings in multiple wheat genetic backgrounds assessed in field experiments in 2005 and 2006. Across environments, grain yield ranged from 0.90 to 5.50 t/ha and screenings from 4 to 20%. The effect of tin on grain yield and screenings varied with environment and genetic background. Grain yield was unchanged in tin lines derived from varieties Brookton, Chara, and Wyalkatchem assessed in southern Australian environments. However, there was a 31 and 10% advantage of free-tillering over tin-containing Silverstar lines for the 2005 western and 2006 northern experiments, respectively, resulting in an average 12% reduction in grain yield of Silverstar tin lines. In northern experiments, where screenings ranged from 4 to 12%, Silverstar-based tin lines produced significantly fewer screenings than free-tillering sister lines. Reduction in screenings was associated with a higher kernel weight (+10%) and a tendency for lower grain yield, although individual Silverstar tin progeny with grain yield equivalent to the parent were readily identified. The incorporation of the tin gene has considerable potential to reduce the incidence of screenings in commercial wheat crops. Variation in grain yield associated with the tin gene was dependent on genetic background, with potential for selection of higher yielding tin progeny for commercial line development.
Additional keywords: drought, dryland agriculture, genotype-by-environment interaction, multi-environment experiments, water deficit.
References
Acreche MM, Slafer GA (2006) Grain weight response to increases in number of grains in wheat in a Mediterranean area. Field Crops Research 98, 52–59.| Grain weight response to increases in number of grains in wheat in a Mediterranean area.Crossref | GoogleScholarGoogle Scholar |
Angus JF, Moncur MW (1977) Water stress and phenology in wheat. Australian Journal of Agricultural Research 28, 177–188.
| Water stress and phenology in wheat.Crossref | GoogleScholarGoogle Scholar |
Angus JF, van Herwaarden AF (2001) Increasing water use and water use efficiency in dryland wheat. Agronomy Journal 93, 290–298.
| Increasing water use and water use efficiency in dryland wheat.Crossref | GoogleScholarGoogle Scholar |
Aspinall D, May LH, Nicholls PB (1964) The effects of soil moisture stress on growth of barley. I. Vegetative development and grain yield. Australian Journal of Agricultural Research 15, 729–731.
| The effects of soil moisture stress on growth of barley. I. Vegetative development and grain yield.Crossref | GoogleScholarGoogle Scholar |
Atsmon D, Jacobs E (1977) Newly bred gigas form of bread wheat (Triticum aestivum L.) – morphological features and thermo-photoperiodic responses. Crop Science 17, 31–35.
| Newly bred gigas form of bread wheat (Triticum aestivum L.) – morphological features and thermo-photoperiodic responses.Crossref | GoogleScholarGoogle Scholar |
Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2007) Analysis of mixed models for S language environments: ASReml-R reference manual. Queensland Government, Department of Primary Industries and Fisheries. p.133.
Cao WX, Moss DN (1994) Sensitivity of winter-wheat phyllochron to environmental changes. Agronomy Journal 86, 63–66.
| Sensitivity of winter-wheat phyllochron to environmental changes.Crossref | GoogleScholarGoogle Scholar |
Ceccarelli S, Erskine W, Hamblin J, Grando S (1994) Genotype by environment interaction and international breeding programs. Experimental Agriculture 30, 177–187.
| Genotype by environment interaction and international breeding programs.Crossref | GoogleScholarGoogle Scholar |
Chapman SC (2008) Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials. Euphytica 161, 195–208.
| Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials.Crossref | GoogleScholarGoogle Scholar |
Chenu K, Cooper M, Hammer GL, Mathews KL, Dreccer MF, Chapman SC (2011) Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modelling water-deficit patterns in North-Eastern Australia. Journal of Experimental Botany 62, 1743–1755.
Cooper M, Woodruff DR, Eisemann RL, Brennan PS, Delacy IH (1995) A selection strategy to accommodate genotype-by-environment interaction for grain-yield of wheat—Managed-environments for selection among genotypes. Theoretical and Applied Genetics 90, 492–502.
| A selection strategy to accommodate genotype-by-environment interaction for grain-yield of wheat—Managed-environments for selection among genotypes.Crossref | GoogleScholarGoogle Scholar |
Cullis BR, Thomson FM, Fisher JA, Gilmour AR, Thompson R (1996) The analysis of the NSW wheat variety database. 2. Variance component estimation. Theoretical and Applied Genetics 92, 28–39.
| The analysis of the NSW wheat variety database. 2. Variance component estimation.Crossref | GoogleScholarGoogle Scholar |
Cullis B, Gogel B, Verbyla A, Thompson R (1998) Spatial analysis of multi-environment early generation variety trials. Biometrics 54, 1–18.
| Spatial analysis of multi-environment early generation variety trials.Crossref | GoogleScholarGoogle Scholar |
Donald CM (1968) Breeding of crop ideotypes. Euphytica 17, 385–403.
| Breeding of crop ideotypes.Crossref | GoogleScholarGoogle Scholar |
Duggan BL, Domitruk DR, Fowler DB (2000) Yield component variation in winter wheat grown under drought stress. Canadian Journal of Plant Science 80, 739–745.
| Yield component variation in winter wheat grown under drought stress.Crossref | GoogleScholarGoogle Scholar |
Duggan BL, Richards RA, Tsuyuzaki H (2002) Environmental effects on stunting and the expression of a tiller inhibition (tin) gene in wheat. Functional Plant Biology 29, 45–53.
| Environmental effects on stunting and the expression of a tiller inhibition (tin) gene in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XitVCiu7w%3D&md5=f28bde22e8fe6aeef29ec4a121147545CAS |
Duggan BL, Richards RA, van Herwaarden AF, Fettell NA (2005) Agronomic evaluation of a tiller inhibition gene (tin) in wheat. I. Effect on yield, yield components, and grain protein. Australian Journal of Agricultural Research 56, 169–178.
| Agronomic evaluation of a tiller inhibition gene (tin) in wheat. I. Effect on yield, yield components, and grain protein.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhvFyku7g%3D&md5=3d719adbfca40ad75bb35c8545e364abCAS |
Fischer RA (1981) Optimizing the use of water and nitrogen through breeding of crops. Plant and Soil 58, 249–278.
| Optimizing the use of water and nitrogen through breeding of crops.Crossref | GoogleScholarGoogle Scholar |
Fischer RA (1985) Number of kernels in wheat crops and the influence of solar radiation and temperature. The Journal of Agricultural Science 105, 447–461.
| Number of kernels in wheat crops and the influence of solar radiation and temperature.Crossref | GoogleScholarGoogle Scholar |
Fischer RA (2008) The importance of grain or kernel number in wheat: A reply to Sinclair and Jamieson. Field Crops Research 105, 15–21.
| The importance of grain or kernel number in wheat: A reply to Sinclair and Jamieson.Crossref | GoogleScholarGoogle Scholar |
Fischer RA, Kohn GD (1966) Relationship between evapotranspiration and growth in wheat crop. Australian Journal of Agricultural Research 17, 255–267.
| Relationship between evapotranspiration and growth in wheat crop.Crossref | GoogleScholarGoogle Scholar |
Gilmour AR, Thompson R, Cullis BR (1995) Average information REML: An efficient algorithm for variance parameter estimation in linear mixed models. Biometrics 51, 1440–1450.
| Average information REML: An efficient algorithm for variance parameter estimation in linear mixed models.Crossref | GoogleScholarGoogle Scholar |
Hadjichristodoulou A (1982) The effects of annual precipitation and its distribution on grain-yield of dryland cereals. The Journal of Agricultural Science 99, 261–270.
| The effects of annual precipitation and its distribution on grain-yield of dryland cereals.Crossref | GoogleScholarGoogle Scholar |
Hadjichristodoulou A (1987) Stability of performance of cereals in low-rainfall area as related to adaptive traits. In ‘Drought tolerance in winter cereals’. (Eds JP Srivastava, E Acevedo, S Varma) pp. 191–202. (John Wiley and Sons: New York)
Innes P, Blackwell RD, Austin RB, Ford MA (1981) The effects of selection for number of ears on the yield and water economy of winter-wheat. The Journal of Agricultural Science 97, 523–532.
| The effects of selection for number of ears on the yield and water economy of winter-wheat.Crossref | GoogleScholarGoogle Scholar |
Isbell R (2002) ‘The Australian Soil Classification.’ (CSIRO Publishing: Melbourne)
Mathews KL, Chapman SC, Trethowan R, Singh RP, Crossa J, Pfeiffer W, van Ginkel M, DeLacy I (2006) Global adaptation of spring bread and durum wheat lines near-isogenic for major reduced height genes. Crop Science 46, 603–613.
| Global adaptation of spring bread and durum wheat lines near-isogenic for major reduced height genes.Crossref | GoogleScholarGoogle Scholar |
Midmore DJ, Cartwright PM, Fischer RA (1984) Wheat in tropical environments. 2. Crop growth and grain yield. Field Crops Research 8, 207–227.
| Wheat in tropical environments. 2. Crop growth and grain yield.Crossref | GoogleScholarGoogle Scholar |
Mitchell JH (2010) Evaluation of reduced-tillering (tin gene) wheat lines for water limiting environments in Northern Australia. PhD Thesis, The University of Queensland, Australia.
Mitchell JH, Fukai S, Cooper M (1996) Influence of phenology on grain yield variation among barley cultivars grown under terminal drought. Australian Journal of Agricultural Research 47, 757–774.
| Influence of phenology on grain yield variation among barley cultivars grown under terminal drought.Crossref | GoogleScholarGoogle Scholar |
Motzo R, Giunta F, Deidda M (2004) Expression of a tiller inhibitor gene in the progenies of interspecific crosses Triticum aestivum L. × T. turgidum subsp. durum. Field Crops Research 85, 15–20.
| Expression of a tiller inhibitor gene in the progenies of interspecific crosses Triticum aestivum L. × T. turgidum subsp. durum.Crossref | GoogleScholarGoogle Scholar |
Nix HA (1987) The Australian climate and its effects on grain yield and quality. In ‘Australian field crops: Vol. 1. Wheat and other temperate cereals’. (Eds A Lazenby, EM Matheson) pp. 183–226. (Angus and Robertson: Sydney)
Passioura J (2006) Increasing crop productivity when water is scarce—from breeding to field management. Agricultural Water Management 80, 176–196.
| Increasing crop productivity when water is scarce—from breeding to field management.Crossref | GoogleScholarGoogle Scholar |
Puckridge DW, Donald CM (1967) Competition among wheat plants sown at a wide range of densities. Australian Journal of Agricultural Research 18, 193–211.
| Competition among wheat plants sown at a wide range of densities.Crossref | GoogleScholarGoogle Scholar |
Rattey A, Shorter R, Chapman S, Dreccer F, van Herwaarden A (2009) Variation for and relationships among biomass and grain yield component traits conferring improved yield and grain weight in an elite wheat population grown in variable yield environments. Crop & Pasture Science 60, 717–729.
| Variation for and relationships among biomass and grain yield component traits conferring improved yield and grain weight in an elite wheat population grown in variable yield environments.Crossref | GoogleScholarGoogle Scholar |
Reynolds MP, Acevedo E, Sayre KD, Fischer RA (1994) Yield potential in modern wheat varieties—its association with a less competitive ideotype. Field Crops Research 37, 149–160.
| Yield potential in modern wheat varieties—its association with a less competitive ideotype.Crossref | GoogleScholarGoogle Scholar |
Richards RA (1988) A tiller inhibitor gene in wheat and its effect on plant growth. Australian Journal of Agricultural Research 39, 749–757.
| A tiller inhibitor gene in wheat and its effect on plant growth.Crossref | GoogleScholarGoogle Scholar |
Richards RA, Rebetzke GJ, Condon AG, van Herwaarden AF (2002) Breeding opportunities for increasing the efficiency of water use and crop yield in temperate cereals. Crop Science 42, 111–121.
| Breeding opportunities for increasing the efficiency of water use and crop yield in temperate cereals.Crossref | GoogleScholarGoogle Scholar |
Rickman RW, Klepper BL (1995) The phyllochron—where do we go in the future. Crop Science 35, 44–49.
| The phyllochron—where do we go in the future.Crossref | GoogleScholarGoogle Scholar |
Rodriguez D, Sadras VO (2007) The limit to wheat water-use efficiency in eastern Australia. I. Gradients in the radiation environment and atmospheric demand. Australian Journal of Agricultural Research 58, 287–302.
| The limit to wheat water-use efficiency in eastern Australia. I. Gradients in the radiation environment and atmospheric demand.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Rodriguez D (2007) The limit to wheat water-use efficiency in eastern Australia. II. Influence of rainfall patterns. Australian Journal of Agricultural Research 58, 657–669.
| The limit to wheat water-use efficiency in eastern Australia. II. Influence of rainfall patterns.Crossref | GoogleScholarGoogle Scholar |
Sayre KD, Rajaram S, Fischer RA (1997) Yield potential progress in short bread wheats in northwest Mexico. Crop Science 37, 36–42.
| Yield potential progress in short bread wheats in northwest Mexico.Crossref | GoogleScholarGoogle Scholar |
Sedgley RH (1991) An appraisal of the Donald ideotype after 21 years. Field Crops Research 26, 93–112.
| An appraisal of the Donald ideotype after 21 years.Crossref | GoogleScholarGoogle Scholar |
Sharma DL, Anderson WK (2004) Small grain screenings in wheat: interactions of cultivars with season, site, and management practices. Australian Journal of Agricultural Research 55, 797–809.
| Small grain screenings in wheat: interactions of cultivars with season, site, and management practices.Crossref | GoogleScholarGoogle Scholar |
Smith A, Cullis B, Gilmour A (2001) The analysis of crop variety evaluation data in Australia. Australian & New Zealand Journal of Statistics 43, 129–145.
| The analysis of crop variety evaluation data in Australia.Crossref | GoogleScholarGoogle Scholar |
Spielmeyer W, Richards RA (2004) Comparative mapping of wheat chromosome 1AS which contains the tiller inhibition gene (tin) with rice chromosome 5S. Theoretical and Applied Genetics 109, 1303–1310.
| Comparative mapping of wheat chromosome 1AS which contains the tiller inhibition gene (tin) with rice chromosome 5S.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXotlKqurk%3D&md5=8c0f0fc29363ae44110e99fe8085b181CAS |
van Herwaarden AF, Farquhar GD, Angus JF, Richards RA, Howe GN (1998a) ‘Haying-off’, the negative grain yield response of dryland wheat to nitrogen fertiliser. I. Biomass, grain yield, and water use. Australian Journal of Agricultural Research 49, 1067–1081.
| ‘Haying-off’, the negative grain yield response of dryland wheat to nitrogen fertiliser. I. Biomass, grain yield, and water use.Crossref | GoogleScholarGoogle Scholar |
van Herwaarden AF, Richards RA, Farquhar GD, Angus JF (1998b) ‘Haying-off’, the negative grain yield response of dryland wheat to nitrogen fertiliser. III. The influence of water deficit and heat shock. Australian Journal of Agricultural Research 49, 1095–1110.
| ‘Haying-off’, the negative grain yield response of dryland wheat to nitrogen fertiliser. III. The influence of water deficit and heat shock.Crossref | GoogleScholarGoogle Scholar |
Wardlaw IF (2002) Interaction between drought and chronic high temperature during kernel filling in wheat in a controlled environment. Annals of Botany 90, 469–476.
| Interaction between drought and chronic high temperature during kernel filling in wheat in a controlled environment.Crossref | GoogleScholarGoogle Scholar |
Whaley JM, Sparkes DL, Foulkes MJ, Spink JH, Semere T, Scott RK (2000) The physiological response of winter wheat to reductions in plant density. Annals of Applied Biology 137, 165–177.
| The physiological response of winter wheat to reductions in plant density.Crossref | GoogleScholarGoogle Scholar |
Whan BR, Delane R, Gilmour R (1988) The potential of reduced tillering wheats in dry environments. In ‘Proceedings of the Seventh International Wheat Genetics Symposium’. Cambridge, 13–19 July.(Eds TE Miller, RMD Koebner) pp. 907–911. (Institute of Plant Science Research, Cambridge Laboratory: Cambridge, UK)
Woodruff DR, Tonks J (1983) Relationship between time of anthesis and grain yield of wheat genotypes with differing developmental patterns. Australian Journal of Agricultural Research 34, 1–11.
| Relationship between time of anthesis and grain yield of wheat genotypes with differing developmental patterns.Crossref | GoogleScholarGoogle Scholar |
Zadoks JC, Chang TT, Konzak CF (1974) Decimal code for growth stages of cereals. Weed Research 14, 415–421.