Thermal time and extreme weather events determine the emergence of Amaranthus palmeri

IF 1.8 4区 农林科学 Q2 PLANT SCIENCES Advances in Weed Science Pub Date : 2022-01-01 DOI:10.51694/advweedsci/2022;40:amaranthus006
Alejandra Ledda, M. Yanniccari, M. C. Franco, M. T. Sobrero
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引用次数: 1

Abstract

most widespread weed of agricultural land in large parts of North and South America. Understanding its population dynamics and the influence of meteorological variables becomes important for decision-making in an integrated management context. The hypothesis is that the emergence of A. palmeri is influenced by thermal time and extreme weather events that occurred in the previous 45, 30 or 15 days. Objective: The work was aimed to detect the influence of meteorological variables and extreme weather events on the emergence of A. palmeri under field conditions. Methods: A field experiment was carried out in order to record seedling emergence of A. palmeri in two growing seasons, 2017/2018 (S1) and 2018/2019 (S2), in Argentina. Associations between weed emergence and thermal time (in growing degree-days GDD), meteorological variables or extreme weather events recorded at 15, 30 and 45 days before to each evaluation time were studied by regression, principal components and multiple correspondence analyses. Results: Thermal time was closely associated to the progress of cumulative emergence in both seasons, but the emergence periodicity was conditional with rainfall. The high precipitation during the spring determined a short lag period (121.8 GDD) in S2. Contrarily, the largest lag period (236.6 GDD) was detected in S1 related to a drought that concentrated the emergence in the beginning of the summer when the rainfall increased. Conclusions: Thermal time allows the cumulative emergence prediction; however, extreme weather events like drought induce quiescence, concentrating the emergence in a short period.
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热时间和极端天气事件决定了红苋菜的出现
在北美和南美大部分地区农业用地上分布最广的杂草。了解其人口动态和气象变量的影响对综合管理背景下的决策非常重要。这一假说认为,棕榈芽孢杆菌的出现受到前45天、30天或15天的热时间和极端天气事件的影响。目的:研究在野外条件下,气象变量和极端天气事件对冬青羽化的影响。方法:在阿根廷进行了2017/2018年(S1)和2018/2019年(S2)两个生长季节的棕榈花苗出苗试验。通过回归分析、主成分分析和多元对应分析,研究了各评价时段前15、30和45 d的热时间、气象变量和极端天气事件与杂草出苗率的关系。结果:热时间与两个季节的累计羽化进度密切相关,但羽化周期受降雨的影响。春季的高降水决定了S2较短的滞后期(121.8 GDD)。相反,S1的滞后期最大(236.6 GDD)与干旱有关,该干旱集中在降雨增加的夏初出现。结论:热时间允许累积羽化预测;然而,像干旱这样的极端天气事件会导致静默,在短时间内集中出现。
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来源期刊
Advances in Weed Science
Advances in Weed Science PLANT SCIENCES-
CiteScore
2.10
自引率
42.90%
发文量
25
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