Condon A. G., Richards R. A., Rebetzke G. J., Farquhar G. D.
CSIRO Plant Industry, GPO Box 1600, Canberra, ACT, 2601, Australia. Environmental Biology, Australian National Univ., Canberra, ACT, 2601, Australia.
Crop Sci. 2002 Jan;42(1):122-131. doi: 10.2135/cropsci2002.1220.
Greater yield per unit rainfall is one of the most important challenges in dryland agriculture. Improving intrinsic water-use efficiency (W(T)), the ratio of CO(2) assimilation rate to transpiration rate at the stomata, may be one means of achieving this goal. Carbon isotope discrimination (Delta(13)C) is recognized as a reliable surrogate for W(T) and there have now been numerous studies which have examined the relationship between crop yield and W(T) (measured as Delta(13)C). These studies have shown the relationship between yield and W(T) to be highly variable. The impact on crop yield of genotypic variation in W(T) will depend on three factors: (i) the impact of variation in W(T) on crop growth rate, (ii) the impact of variation in W(T) on the rate of crop water use, and (iii) how growth and water use interact over the crop's duration to produce grain yield. The relative importance of these three factors will differ depending on the crop species being grown and the nature of the cropping environment. Here we consider these interactions using (i) the results of field trials with bread wheat (Triticum aestivum L.), durum wheat (T. turgidum L.), and barley (Hordeum vulgare L.) that have examined the association between yield and Delta(13)C and (ii) computer simulations with the SIMTAG wheat crop growth model. We present details of progress in breeding to improve W(T) and yield of wheat for Australian environments where crop growth is strongly dependent on subsoil moisture stored from out-of-season rains and assess other opportunities to improve crop yield using W(T).
提高单位降雨量的产量是旱地农业面临的最重要挑战之一。提高内在水分利用效率(W(T)),即气孔处二氧化碳同化率与蒸腾速率之比,可能是实现这一目标的一种手段。碳同位素判别率(Δ¹³C)被认为是W(T)的可靠替代指标,目前已有大量研究探讨了作物产量与W(T)(以Δ¹³C衡量)之间的关系。这些研究表明,产量与W(T)之间的关系变化很大。W(T)的基因型变异对作物产量的影响取决于三个因素:(i)W(T)变异对作物生长速率的影响;(ii)W(T)变异对作物水分利用速率的影响;(iii)生长和水分利用在作物生长周期内如何相互作用以产生籽粒产量。这三个因素的相对重要性将因种植的作物种类和种植环境的性质而异。在这里,我们利用(i)对面包小麦(Triticum aestivum L.)、硬粒小麦(T. turgidum L.)和大麦(Hordeum vulgare L.)进行的田间试验结果来研究产量与Δ¹³C之间的关联,以及(ii)使用SIMTAG小麦作物生长模型进行计算机模拟,来考虑这些相互作用。我们介绍了在澳大利亚环境下,为提高小麦的W(T)和产量而进行的育种进展细节,在澳大利亚,作物生长强烈依赖于非生长季节降雨储存于底土中的水分,并评估利用W(T)提高作物产量的其他机会。