Importance of boron tolerance in wheat

Importance of boron tolerance in wheat

Author: | Date: 20 Feb 2003

Take home message

Yield effects of B tolerance in wheat vary widely across sites and years but are generally positive in south-eastern Australia. In areas with grain B concentrations above 4 mg/kg a single gene for B tolerance provides an average yield benefit of approximately 4% but this benefit may be as high as 20%.

Introduction

The choice of crop varieties is one of the key decisions made annually by growers. Increasingly growers face the competing attention of seed merchants promoting the positive attributes of new varieties. The attribute of boron (B) tolerance has become a key aspect of cereal variety promotion. However many growers have little knowledge of the importance of B tolerance on their properties relative to many other variety characteristics. This paper seeks to review some of the findings of research over the last decade to provide quantitative data on the relative importance of B tolerance in southern Australia and indicate how growers can assess the benefits of the varieties with this characteristic on their properties.

Results and discussion

Over the past fifteen years varietal differences in B tolerance in wheat and the agricultural significance of B tolerance have been studied extensively. These studies have consisted of

  1. Glasshouse studies under controlled conditions. Key findings have included:
    • Substantial differences in B tolerance between wheat varieties with varieties widely adopted in southeastern Australia often possessing moderately high levels of tolerance whilst varieties widely adopted in northern Australia and on the acid sand plains of WA have possessed relatively low levels of tolerance.
    • Tolerant varieties generally have lower levels of B in leaf tissue.
    • The genetic basis of tolerance in wheat is relatively simple with a series of genes with additive effects present in the more tolerant varieties. The most important of these genes which is present in Halberd Spear Frame and Yitpi has been named Bo1 and the chromosomal location of this gene has been identified.
    • Tissue concentrations associated with reductions in growth in glasshouses are consistently higher than those found in the field surveys. This has raised concerns regarding the importance of B toxicity in the field.
  2. Correlating yield and soil B concentrations in transects across spatially variable paddocks.
    • The work of Nuttall et al (2003 in preparation) has indicated soluble soil B levels in the 0.60 - 1.00m layer of alkaline soils have little correlation with root growth water extraction or yield of wheat.
    • Environmental and genetic correlations between yield and B concentration in the tissue have been investigated using a diverse set of Australian wheat varieties and advanced breeding lines in field trials at sites with both high and low levels of subsoil B. Environmental correlations (re) are calculated from variation between replicates within the same variety(ies) whilst genetic correlations (rg) are based on variation between varieties after removal of replicate effects. The environmental correlations between yield and tissue B concentrations have consistently been close to zero whilst genetic correlations between yield and tissue B concentrations have been negative at sites with high subsoil B and positive at sites with low subsoil B (Table 1).
    • In a further study the correlation between rooting depth yield and uptake of B was measured at a B toxic site for three varieties differing in their level of B tolerance. Rooting depth was measured to a depth of 1m using soil cores taken immediately after harvest with soil cores segmented at 20cm intervals. Rooting depth varied considerably across the trial site. Environmental correlations between (plot) yields and tissue B concentrations were positive (re = 0.45) and tissue B concentrations were positively associated with rooting depth (re = 0.53). Plots with deeper rooting systems were higher yielding but also had higher concentrations of B in the tissue. Tolerant varieties were significantly higher yielding than the intolerant variety but no difference was found in rooting depth.
  3. Measuring the relative performance of near isogenic (very closely related) lines differing only in their level of B tolerance.
    • The impact of a single gene for B tolerance (Bo1) was assessed at 41 trial sites in SA WA and Victoria over a 5-year period using a series of isogenic lines (Table 2). Yield benefits achieved by the BT lines ranged from 20% at Kimba SA to a yield penalty of 13% at Newdegate on the WA acid sand plains.
    • Figure 1: Relationship between grain B concentration and relative yields
      of B tolerant versus B intolerant isolines (r2 = 0.14)

      Scatter graph depicting the relationship between grain B concentration and relative yields of B tolerant versus B intolerant isolines (r2 = 0.14). The vertical axis is titled "Relative yield of BT vs IT types". The horizontal axis is titled "Grain B (mg/kg)".A line of best fit is plotted from approximately (110,1.0) to approximately (105,8.0).
      It should be emphasised that these yield effects calculated using this set of isogenic lines are attributable to a single gene for B tolerance. The majority of varieties grown in southeastern Australia differ by only one occasionally two genes for B tolerance and hence these estimates of the yield effects of B tolerance are relevant in the comparison of varieties from within this region. Varieties grown widely in Queensland and north NSW (Pavon derivatives) or grown on the acid sand plains of Western Australia (Gamenya Gutha Eradu derivatives) generally have a lower level of tolerance and probably differ from a variety such as Frame by three or more genes for tolerance.
    • Grain B concentrations were a relatively poor indicator of the relative yields of the isolines (Figure 1; r2 = 0.14). This creates difficulties for growers attempting to assess the impact of B tolerance on their properties. Yield benefits were always positive above a grain B concentration of 4 mg/kg averaging 4.3%.

Differences between the experimental approaches highlight the difficulty in defining the importance of B tolerance relative to other variety characteristics. B may not be the primary factor influencing rooting depth and the work of Nuttall et al. indicates that subsoil salinity and sodicity have a greater influence on water extraction from the subsoil than does B. This does not imply that B tolerance is irrelevant but indicates "transect" studies using a single variety need to be complemented by studies utilising isogenic lines to define the effect on yield of subsoil constraints.

Table 1 Genotypic (rg) and environmental (re) correlations between yield and tissue concentrations of B for trials grown at Two Wells (1987 1988) and Windsor (1987).
Site Max soil B in 0-50 cm
(mg/kg)
Comparison rg re
Two Wells 1987 70.6 Yield vs B -0.47 0.08
Two Wells 1988 88.0 Yield vs B -0.22 0.01
Windsor 1987 13.1 Yield vs B -0.33 0.02
Location Year Mean yield IT isogenic lines (kg/ha) Yield BT isolines as a % of IT isolines
Table 2 Relative yields of B tolerant versus B intolerant isogenic lines over a range of sites and years.
Bordertown SA 1990 2879 99
Bordertown SA 1990 1702 109
Carrabin WA 1990 1756 97
Kimba SA 1992 761 120
Laura SA 1990 2728 103
Merredin WA 1990 1770 99
Minnipa SA 1990 1340 100
Minnipa SA 1991 1983 106
Minnipa SA 1992 2538 101
Minnipa SA 1988 361 101
Minnipa SA 1989 1648 101
Newdegate WA 1990 1137 87
Palmer SA 1990 1285 108
Palmer SA 1992 1152 98
Roseworthy SA 1989 1631 106
Roseworthy SA 1990 1650 100
Roseworthy SA 1990 1464 112
Roseworthy SA 1991 2011 95
Roseworthy SA 1992 1777 99
Rudall SA 1989 2614 107
Rudall SA 1990 855 108
Rudall SA 1991 1516 102
Rudall SA 1992 2570 105
Salmon Gums WA 1990 790 113
Snowtown SA 1990 2263 99
Snowtown SA 1989 3015 103
Two Wells SA 1988 1432 109
Two Wells SA 1989 3123 104
Two Wells SA 1990 946 105
Two Wells SA 1991 1928 104
Two Wells SA 1992 3343 101
Waite SA 1989 2698 95
Waite SA 1990 2121 101
Walpeup Vic 1989 1210 98
Walpeup Vic 1990 1345 105
Walpeup Vic 1991 1171 102
Walpeup Vic 1992 2196 110
Windsor SA 1989 1303 106
Windsor SA 1990 1035 97
Windsor SA 1992 1224 97
Yeelanna SA 1988 1593 102
Average     103

Authors

David Moody, DPI VIDA-Horsham
Ph 03 53622156
david.moody@nre.vic.gov.au

Tony Rathjen, University of Adelaide
Waite Campus Glen Osmond

Presented at:

Bendigo, VIC
February 2003