首页|春小麦生理指标对土壤水分持续减少的响应特征分析

春小麦生理指标对土壤水分持续减少的响应特征分析

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为研究春小麦生理指标对土壤水分变化的响应特征,以春小麦品种定西 40 为试材,于 2019 年进行春小麦盆栽试验,在拔节初期设置对照(CK)和干旱(DR)两个水分处理,分析春小麦旗叶水势(LWP)及光合生理参数等对土壤水分变化的响应特征。结果表明:随着土壤水分的减少,LWP 显著下降,07 时 LWP 较 11 时 LWP 对土壤水分变化更敏感;随着土壤水分的减少,春小麦叶片净光合速率(Pn)、蒸腾速率(Tr)、胞间 CO2 浓度(Ci)快速下降,平均降幅分别为 64%、76%和 70%。LWP、Pn、Tr、Rs(气孔阻力)、Ci 与土壤相对湿度(RSM)呈指数函数关系,决定系数为 0。310~0。874,水分利用效率(WUE)与 RSM 呈幂函数关系(R2=0。212)。该研究可为黄土高原半干旱区春小麦水分的高效利用提供理论依据。
Study on Response Characteristics of Physiological Indexes of Spring Wheat in Key Growth Stages to Drought Process
In order to study the response characteristics of spring wheat physiological indexes to the change of soil moisture content,the variety of Dingxi 40 was used as test material in a pot experiment in 2019.Two water treatments including control(CK)and drought(DR)were set at the early jointing stage,and the response characteristics of leaf water potential(LWP)and photosynthetic physiological parameters to the change of soil moisture content were analyzed.The results show that LWP decreases significantly with the continuous decline of soil moisture.LWP at 07:00 am is more sensitive to the change of soil moisture than at 11:00 am.With the decreasing soil moisture,leaf net photosynthetic rate(Pn),transpiration rate(Tr)and intercellular CO2 concentration(Ci)decline rapidly with the decrease rate being 64%,76%and 70%on average,respectively.LWP,Pn,Tr,Rs and Ci have exponential function relationships with relative soil moisture(RSM),and the determination coefficient is between 0.310 and 0.874.The results show that the relationship between water use efficiency(WUE)and RSM is a power function(R2=0.212).This research result can provide a theoretical basis for efficient water usage and drought monitoring of spring wheat in the semi-arid area of the Loess Plateau.

spring wheatphysiological indexdroughtwater potentialsoil moisture

张新刚、杜子璇、赵福年、李慧萍、王媛、徐林泽

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焦作市气象局,河南 焦作 454003

河南省气象科学研究所,郑州 450003

中国气象局兰州干旱气象研究所/甘肃省干旱气候变化与减灾重点实验室/中国气象局干旱气候变化与减灾重点开放实验室,兰州 730020

春小麦 生理指标 干旱 水势 土壤水分

中国气象局·河南省农业气象保障与应用技术重点开放实验室应用技术研究基金项目

KM202237

2024

气象与环境科学
河南省气象局

气象与环境科学

CSTPCD
影响因子:1.28
ISSN:1673-7148
年,卷(期):2024.47(5)