Levy Amit, Livingston Taylor, Wang Chunxia, Achor Diann, Vashisth Tripti
Citrus Research and Education Center, University of Florida, Lake Alfred, FL 33850, USA.
Department of Plant Pathology, University of Florida, Gainesville, FL 32611, USA.
Plants (Basel). 2023 Jan 7;12(2):290. doi: 10.3390/plants12020290.
In Florida, almost all citrus trees are affected with Huanglongbing (HLB), caused by Liberibacter asiaticus (CLas). We characterized various parameters of HLB-affected sweet orange trees in response to yield-improving nutritional treatment, including canopy volume, canopy density and CLas Ct values, and found that the treatment improved yield and maintained canopy density for over three years, whereas untreated HLB-affected trees declined in canopy density. The nutritional treatment did not affect CLas titer or the tree canopy volume suggesting that canopy density is a better indicator of fruit yield. To further validate the importance of canopy density, we evaluated three independent orchards (different in tree age or variety) to identify the specific traits that are correlated with fruit yields. We found that canopy density and fruit detachment force (FDF), were positively correlated with fruit yields in independent trials. Canopy density accurately distinguished between mild and severe trees in three field trials. High and low producing HLB trees had the same Ct values. Ct values did not always agree with CLas number in the phloem, as visualized by transmission electron microscopy. Our work identifies canopy density as an efficient trait to predict yields of HLB-affected trees and suggests canopy health is more relevant for yields than the CLas population.
在佛罗里达州,几乎所有柑橘树都感染了由亚洲韧皮杆菌(CLas)引起的黄龙病(HLB)。我们对受HLB影响的甜橙树在采用提高产量的营养处理后的各种参数进行了表征,包括树冠体积、树冠密度和CLas Ct值,发现该处理提高了产量,并使树冠密度保持三年以上,而未处理的受HLB影响的树木树冠密度下降。营养处理不影响CLas滴度或树冠体积,这表明树冠密度是果实产量的更好指标。为了进一步验证树冠密度的重要性,我们评估了三个独立果园(树龄或品种不同),以确定与果实产量相关的具体特征。我们发现在独立试验中,树冠密度和果实脱离力(FDF)与果实产量呈正相关。在三项田间试验中,树冠密度准确地区分了轻度和重度感染的树木。高产和低产的HLB树具有相同的Ct值。Ct值并不总是与通过透射电子显微镜观察到的韧皮部中CLas数量一致。我们的研究确定树冠密度是预测受HLB影响树木产量的有效特征,并表明树冠健康状况对产量的影响比CLas种群更为重要。