CSIRO Plant Industry, Canberra, ACT 2601, Australia.
J Exp Bot. 2012 May;63(9):3485-98. doi: 10.1093/jxb/ers111. Epub 2012 May 2.
Wheat yields globally will depend increasingly on good management to conserve rainfall and new varieties that use water efficiently for grain production. Here we propose an approach for developing new varieties to make better use of deep stored water. We focus on water-limited wheat production in the summer-dominant rainfall regions of India and Australia, but the approach is generally applicable to other environments and root-based constraints. Use of stored deep water is valuable because it is more predictable than variable in-season rainfall and can be measured prior to sowing. Further, this moisture is converted into grain with twice the efficiently of in-season rainfall since it is taken up later in crop growth during the grain-filling period when the roots reach deeper layers. We propose that wheat varieties with a deeper root system, a redistribution of branch root density from the surface to depth, and with greater radial hydraulic conductivity at depth would have higher yields in rainfed systems where crops rely on deep water for grain fill. Developing selection systems for mature root system traits is challenging as there are limited high-throughput phenotyping methods for roots in the field, and there is a risk that traits selected in the lab on young plants will not translate into mature root system traits in the field. We give an example of a breeding programme that combines laboratory and field phenotyping with proof of concept evaluation of the trait at the beginning of the selection programme. This would greatly enhance confidence in a high-throughput laboratory or field screen, and avoid investment in screens without yield value. This approach requires careful selection of field sites and years that allow expression of deep roots and increased yield. It also requires careful selection and crossing of germplasm to allow comparison of root expression among genotypes that are similar for other traits, especially flowering time and disease and toxicity resistances. Such a programme with field and laboratory evaluation at the outset will speed up delivery of varieties with improved root systems for higher yield.
全球小麦产量将越来越依赖于良好的管理,以保护降雨和利用新的品种高效利用水分来生产粮食。在这里,我们提出了一种开发新品种的方法,以更好地利用深层储存的水。我们专注于印度和澳大利亚夏季降雨主导地区的水分限制小麦生产,但这种方法通常适用于其他环境和基于根系的限制。利用储存的深层水是有价值的,因为它比季节内降雨更可预测,并且可以在播种前进行测量。此外,由于在作物生长的灌浆期后期,当根系到达更深的层次时,这种水分被转化为谷物,其效率是季节内降雨的两倍。我们提出,具有更深根系、将分支根密度从表面重新分配到深度、以及在深度处具有更大径向水力传导性的小麦品种,在依赖深层水进行灌浆的雨养系统中,产量会更高。开发成熟根系性状的选择系统具有挑战性,因为在田间,根系的高通量表型分析方法有限,并且存在在实验室中选择的性状在田间不会转化为成熟根系性状的风险。我们给出了一个结合实验室和田间表型分析以及在选择计划开始时对性状进行概念验证的育种计划的例子。这将极大地增强对高通量实验室或田间筛选的信心,并避免对没有产量价值的筛选进行投资。这种方法需要仔细选择能够表达深根和提高产量的田间地点和年份。它还需要仔细选择和杂交种质,以允许在其他性状(尤其是开花时间和疾病和毒性抗性)相似的基因型之间比较根系表达。这样一个在开始时进行田间和实验室评估的计划将加快具有改良根系的品种的交付,以提高产量。