Camargo Alvarez Hector, Salazar-Gutiérrez Melba, Zapata Diana, Keller Markus, Hoogenboom Gerrit
1AgWeatherNet Program, Irrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA 99350 USA.
3Present Address: Department of Horticulture, Tree Fruit Research and Extension Center, Washington State University, Wenatchee, WA 98801 USA.
Plant Methods. 2018 Oct 27;14:94. doi: 10.1186/s13007-018-0361-0. eCollection 2018.
The reduced growth of plants during the winter causes a lack in the perceptibility of the phenological events making challenging the study of dormancy. For deciduous crops, dormancy is generally determined by evaluating budbreak of single-node cuttings that are exposed to conditions suitable for growth. However, the absence of a statistical basis for analyzing and interpreting the budbreak behavior evaluated as the percent budbreak, the average time to budbreak and the time to reach 50% budbreak, has caused inconsistent and contradictory criteria to identify the dormancy status of different deciduous crops.
In this study, a method was developed to analyze the duration between sampling and budbreak of single-node cuttings and to estimate the dormancy status for grapevines ( L.) based on the time-to-event distribution of the observations. This method estimates the probability curve of budbreak for each sample and classifies each curve into paradormancy, endodormancy, and ecodormancy according to the significance when compared to a sample curve estimated from cuttings collected during paradormancy and referred to as "reference."
The approach described in this study provided a comparison of the budbreak distribution of cuttings collected during distinct phases with a confidence of 95%. It also allowed the estimation of the date of occurrence of the dormancy stages for two grapevine cultivars 'Cabernet Sauvignon' and 'Chardonnay,' based on the variability within the sampling season rather than on fixed arbitrary criteria. This approach can also be used to analyze budbreak data of single-node cuttings from other common deciduous crops.
冬季植物生长减缓导致物候事件难以察觉,这给休眠研究带来了挑战。对于落叶作物,休眠通常通过评估暴露在适宜生长条件下的单节插条的萌芽情况来确定。然而,在分析和解释以萌芽百分比、平均萌芽时间和达到50%萌芽时间来评估的萌芽行为时,缺乏统计依据,导致在确定不同落叶作物休眠状态时出现了不一致和相互矛盾的标准。
在本研究中,开发了一种方法来分析单节插条采样与萌芽之间的持续时间,并根据观测值的事件时间分布来估计葡萄(L.)的休眠状态。该方法估计每个样本的萌芽概率曲线,并根据与在初休眠期收集的插条估计的样本曲线(称为“参考曲线”)相比的显著性,将每条曲线分类为初休眠、内休眠和生态休眠。
本研究中描述的方法以95%的置信度对不同阶段收集的插条的萌芽分布进行了比较。它还允许根据采样季节内的变异性而非固定的任意标准,估计两个葡萄品种‘赤霞珠’和‘霞多丽’休眠阶段的发生日期。这种方法也可用于分析其他常见落叶作物单节插条的萌芽数据。