Jaber Husiny, Alexandra Ficht, John R. Watson, Eric M. Lyons
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引用次数: 0
Abstract
Plant growth regulators (PGRs) are commonly used to manage turfgrass growth on golf courses. Growing degree day (GDD) models predict the need for reapplication of PGRs, such as trinexapac-ethyl (TE) resulting in a potential loss of regulation. Optimal GDD models for application of prohexadione calcium (PC), a late-stage gibberellin inhibitor, on fairway-height turfgrasses are currently unknown. The effect of PC and TE on plant growth and stand health were evaluated in two separate seasons on mixed stands of creeping bentgrass (Agrostis stolonifera L.) and annual bluegrass (Poa annua L.) maintained at 9-mm height at the Guelph Turfgrass Institute. Five treatments (control, PC 2.8 g 100 m−2 [0.09 oz 1000 ft−2], PC 5.6 g 100 m−2 [0.18 oz 1000 ft−2], PC 8.4 g 100 m−2 [0.27 oz 1000 ft−2], and TE 8.0 mL 100 m−2 [0.26 fl oz 1000 ft−2]) were applied based on a label rate GDD schedule. Plant clipping dry weight (DW), visual color ratings and normalized difference vegetative index (NDVI) were assessed. Most PC and TE treatments effectively reduced DW and had a positive effect on visual color and NDVI. A relationship was observed between PC application rates, suggesting that higher application rates allow for greater regulation of plant growth. Rebound effects or periods of excess growth, occurred when reapplication intervals exceeded 350 GDD and had an average of thermal time greater than 21.0 GDD over a 10-day period. Using optimal GDD models for PC will assist in the effective regulation of turfgrass growth and improved stand health.
植物生长调节剂(PGR)通常用于管理高尔夫球场上的草坪草生长。生长度日(GDD)模型预测需要重新应用PGR,如乙基三内六胺(TE),从而导致潜在的调节损失。在球道高度草坪草上应用前六酮钙(PC)(一种后期赤霉素抑制剂)的最佳GDD模型目前尚不清楚。在圭尔夫草坪研究所,在两个不同的季节,在保持在9mm高度的匍匐底栖草(Agrostis stolonifera L.)和一年生蓝草(Poa annua L.)的混合林上评估了PC和TE对植物生长和林分健康的影响。根据标记率GDD计划,应用了五种处理(对照组,PC 2.8 g 100 m−2[0.09 oz 1000 ft−2]、PC 5.6 g 100 m³2[0.18 oz 1000英尺−2]、PC8.4 g 100 m²[0.27 oz 1000 f−2]和TE 8.0 mL 100 m−2[0.26 fl oz 1000 t−2])。评估了植物修剪干重(DW)、视觉颜色等级和归一化差异营养指数(NDVI)。大多数PC和TE处理有效地降低了DW,并对视觉颜色和NDVI产生了积极影响。观察到PC施用率之间的关系,表明较高的施用率可以更好地调节植物生长。当重新施用间隔超过350 GDD并且在10天内平均热时间大于21.0 GDD时,会出现反弹效应或过度生长期。使用PC的最优GDD模型将有助于有效调节草坪草生长和改善林分健康。