欧亚国际

来自以色列的科学利用Plantarray高通量植物生理表型平台和植物逆境生物学生理研究平台发表了题为Predicting tomato field-yield using continuous monitoring of young tomato water status的文章。目前利用该系统已经在主流期刊上发表了近40篇文章，典型客户包括以色列希伯来大学和荷兰瓦赫宁根大学等等。

利用番茄幼苗水分状况的连续监测预测番茄田间产量

摘要 

为了解决在田间预测番茄产量面对的挑战，我们使用全植物功能表型平台来评估在灌溉和干旱条件下的水分关系。已知所测试的基因型在湿田和干田中表现出产量的变异性。所检测的品系包括两个具有影响类胡萝卜素生物合成的隐性突变的品系，zeta z2083和tangerine t3406，这两个品系均与加工番茄品种M82同源。将这两个突变体系相互嫁接到M82上，并在温室中连续测定干旱处理前后以及干旱处理前后的多种生理特性。温室和田间产量的对比分析表明，早晨的整个冠层气孔导度（gsc）和累积蒸腾作用（CT）与田间总产量（TY:r2分别为0.9和0.77）和植物营养体重量（PW:r2分别为0.6和0.94）密切相关。此外，干旱期间的最小CT和恢复灌溉时的恢复率都可以用于预测恢复力。

Predicting tomato field-yield using continuous monitoring of young tomato water status

Sanbon Chaka Gosa, Amit Koch, Itamar Shenhar, Joseph Hirschberg, Dani Zamir, Menachem Moshelion

doi:

Abstract

To address the challenge of predicting tomato yields in the field, we used whole-plant functional phenotyping to evalsuate water relations under well-irrigated and drought conditions. The genotypes tested are known to exhibit variability in their yields in wet and dry fields. The examined lines included two lines with recessive mutations that affect carotenoid biosesynthesis, zeta z2083 and tangerine t3406, both isogenic to the processing tomato variety M82. The two mutant lines were reciprocally grafted onto M82 and multiple physiological characteristics were measured continuously, as well as before, during and after drought treatment in the greenhouse. A comparative analysis of greenhouse and field yields showed that the whole-canopy stomatal conductance (gsc) in the morning and cumulative transpiration (CT) were strongly correlated with field measurements of total yield (TY: r2 = 0.9 and 0.77, respectively) and plant vegetative weight (PW: r2 = 0.6 and 0.94, respectively). Furthermore, the minimum CT during drought and the rate of recovery when irrigation was resumed were both found to predict resilience.