Gonzalez Nieto Luis, Huber Annika, Gao Rui, Biasuz Erica Casagrande, Cheng Lailiang, Stroock Abraham D, Lakso Alan N, Robinson Terence L
School of Integrative Plant Sciences, Horticulture Section, Cornell University, Geneva and Ithaca, NY 14456, USA.
Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14850, USA.
Plants (Basel). 2023 May 8;12(9):1912. doi: 10.3390/plants12091912.
The weather variations around the world are already having a profound impact on agricultural production. This impacts apple production and the quality of the product. Through agricultural precision, growers attempt to optimize both yield and fruit size and quality. Two experiments were conducted using field-grown "Gala" apple trees in Geneva, NY, USA, in 2021 and 2022. Mature apple trees ( × Borkh. cv. Ultima "Gala") grafted onto G.11 rootstock planted in 2015 were used for the experiment. Our goal was to establish a relationship between stem water potential (Ψ), which was continuously measured using microtensiometers, and the growth rate of apple fruits, measured continuously using dendrometers throughout the growing season. The second objective was to develop thresholds for Ψ to determine when to irrigate apple trees. The economic impacts of different irrigation regimes were evaluated. Three different water regimes were compared (full irrigation, rainfed and rain exclusion to induce water stress). Trees subjected the rain-exclusion treatment were not irrigated during the whole season, except in the spring (April and May; 126 mm in 2021 and 100 mm in 2022); that is, these trees did not receive water during June, July, August and half of September. Trees subjected to the rainfed treatment received only rainwater (515 mm in 2021 and 382 mm in 2022). The fully irrigated trees received rain but were also irrigated by drip irrigation (515 mm in 2021 and 565 mm in 2022). Moreover, all trees received the same amount of water out of season in autumn and winter (245 mm in 2021 and 283 mm in 2022). The microtensiometer sensors detected differences in Ψ among our treatments over the entire growing season. In both years, experimental trees with the same trunk cross-section area (TCSA) were selected (23-25 cm TCSA), and crop load was adjusted to 7 fruits·cm TCSA in 2021 and 8.5 fruits·cm TCSA in 2022. However, the irrigated trees showed the highest fruit growth rates and final fruit weight (157 g and 70 mm), followed by the rainfed only treatment (132 g and 66 mm), while the rain-exclusion treatment had the lowest fruit growth rate and final fruit size (107 g and 61 mm). The hourly fruit shrinking and swelling rate (mm·h) measured with dendrometers and the hourly Ψ (bar) measured with microtensiometers were correlated. We developed a logistic model to correlate Ψ and fruit growth rate (g·h), which suggested a critical value of -9.7 bars for Ψ, above which there were no negative effects on fruit growth rate due to water stress in the relatively humid conditions of New York State. A support vector machine model and a multiple regression model were developed to predict daytime hourly Ψ with radiation and VPD as input variables. Yield and fruit size were converted to crop value, which showed that managing water stress with irrigation during dry periods improved crop value in the humid climate of New York State.
世界各地的气候变化已经对农业生产产生了深远影响。这影响了苹果的产量和产品质量。通过精准农业,种植者试图优化产量、果实大小和品质。2021年和2022年,在美国纽约州日内瓦对田间种植的“嘎啦”苹果树进行了两项实验。实验使用的是2015年种植在G.11砧木上的成年苹果树(×Borkh. cv. Ultima “Gala”)。我们的目标是建立使用微压计连续测量的茎水势(Ψ)与整个生长季节使用测树仪连续测量的苹果果实生长速率之间的关系。第二个目标是确定Ψ的阈值,以决定何时对苹果树进行灌溉。评估了不同灌溉制度的经济影响。比较了三种不同的水分处理方式(充分灌溉、雨养和排除降雨以诱导水分胁迫)。接受排除降雨处理的树木在整个季节除春季(2021年4月和5月为126毫米,2022年为100毫米)外不进行灌溉;也就是说,这些树在6月、7月、8月和9月的一半时间里没有得到水分。接受雨养处理的树木仅接受雨水(2021年为515毫米,2022年为382毫米)。充分灌溉的树木接受降雨,但也通过滴灌进行灌溉(2021年为515毫米,2022年为565毫米)。此外,所有树木在秋冬季节非生长季接受相同量的水分(2021年为245毫米,2022年为283毫米)。微压计传感器在整个生长季节检测到我们不同处理之间的Ψ差异。在这两年中,选择了具有相同树干横截面积(TCSA)的实验树(TCSA为23 - 25平方厘米),2021年将作物负载调整为7个果实·平方厘米TCSA,2022年调整为8.5个果实·平方厘米TCSA。然而,灌溉树木的果实生长速率和最终果实重量最高(157克和70毫米),其次是仅雨养处理(132克和66毫米),而排除降雨处理的果实生长速率和最终果实大小最低(107克和61毫米)。用测树仪测量的每小时果实收缩和膨胀速率(毫米·小时)与用微压计测量的每小时Ψ(巴)相关。我们建立了一个逻辑模型来关联Ψ和果实生长速率(克·小时),该模型表明Ψ的临界值为 - 9.7巴,在纽约州相对湿润的条件下,高于此值水分胁迫对果实生长速率没有负面影响。建立了支持向量机模型和多元回归模型,以辐射和水汽压亏缺(VPD)作为输入变量来预测白天每小时的Ψ。产量和果实大小被转换为作物价值,这表明在纽约州湿润的气候条件下,在干旱时期通过灌溉管理水分胁迫可提高作物价值。