Reply to commentary by Offer Rozenstein on ‘Is the crop evapotranspiration rate a good surrogate for the recommended irrigation rate?’

IF 1.6 4区 农林科学 Q2 AGRONOMY Irrigation and Drainage Pub Date : 2024-02-15 DOI:10.1002/ird.2865
Shmulik P. Friedman
{"title":"Reply to commentary by Offer Rozenstein on ‘Is the crop evapotranspiration rate a good surrogate for the recommended irrigation rate?’","authors":"Shmulik P. Friedman","doi":"10.1002/ird.2865","DOIUrl":null,"url":null,"abstract":"<p>I thank Offer Rozenstein for his commentary, and I agree with most of the things he wrote, those that refer to the original article (Friedman, <span>2023</span>) and those that are not directly related to its main idea. The main idea of that short article was that optimal irrigation (from an agronomic or economic point of view) is usually at a rate higher or lower than the actual evapotranspiration (ET<sub>c act</sub>) rate of the crop (Rozenstein agrees with this main idea).</p><p>For example, Figure 1 displays the water consumption (ET<sub>c act</sub>) of cotton (cv. <i>Pima</i>) that Rozenstein et al. (<span>2018</span>) estimated by remote sensing of plant indices, in very good agreement with ground measurements using the eddy covariance method. Also displayed in this figure are the daily irrigation dose recommendations (in terms of <i>K</i><sub>c</sub> to be multiplied by ET<sub>0</sub>) of the Israeli Extension Service (IES) for that region, which were higher during most of the irrigation season and amounted to seasonal irrigation that was about 10% higher than the evaluated estimated crop evapotranspiration (until day of year [DOY] 227). The question arises: Are the recommendations of the IES higher than the (agronomical or economical) optimal irrigation rate? The answer is probably: No. Irrigation according to the IES recommendations which are at a multi-annual average rate of about 490 mm per season results in a yield of about 5300 kg ha<sup>−1</sup> and an income of about $15,900 ha<sup>−1</sup> (current cotton market price is about $3 kg<sup>−1</sup>). According to the cotton yield–irrigation production functions under various conditions (Dağdelen et al., <span>2009</span>; Shalhevet et al., <span>1979</span>; Wanjura et al., <span>2002</span>), it seems that reducing the seasonal irrigation amount by about 10% would have reduced the yield by about 5% and the grower's profit by 4%, $650 ha<sup>−1</sup> (accounting for only the cotton market price and irrigation water price of ~ $0.3 m<sup>−3</sup>). And what about the seasonal course of the irrigation dose recommended by the IES concerning the seasonal course of the crop's water consumption? Does it make sense to irrigate at rates higher than the actual ET at earlier stages and lower than the ET towards the end of the growing season (until eventually stopping irrigation at 30%–40% open bolls)? Yes, that makes sense. In the first growth stages, the root systems are small and cannot take up most of the water supplied from the point sources in drip irrigation, so it is necessary to irrigate in excess. It is also necessary to prevent the accumulation of harmful salinity. On the other hand, towards the end of the growing season, the available water in the soil profile can be utilized and it can be dried. In the case of cotton, in addition to water saving, the activation of water stress may improve fibre quality and promote natural defoliation resulting in a more efficient and effective harvest.</p><p>Another, more extreme example indicating that the optimal irrigation rate is much higher than the water consumption (ET<sub>c act</sub>) of the crop is from an experiment of bell pepper irrigation on a sandy soil in Western Negev, Israel. In the treatment in which the irrigation dosing was according to the approach and the crop coefficients of the FAO56 (Allen et al., <span>1998</span>) and seasonal irrigation from June to December amounted to about 800 mm, we (Shani Sperling, a master's degree student under the guidance of Shabtai Cohen and myself, Sperling, <span>2013</span>) measured daily transpiration rates of less than 40% of the irrigation rates using the heat pulse method (in good agreement with water and salinity balances in the soil profile evaluated with an array of 16 time-domain reflectometry [TDR] sensors). According to a yield–irrigation dose production function that we constructed in a preliminary experiment, reducing the irrigation dose to 40% of that mentioned above (800 mm), following the evaluated water consumption of the crop, would have caused a 50% reduction in the yield.</p><p>Agronomic and economic optimal irrigation dose larger than the water consumption (ET<sub>c act</sub>) is common in also intensively drip-irrigated orchards, for example, red grapefruit (Friedman et al., <span>2009</span>) and persimmon (Kanety et al., <span>2014</span>). The measured (via the heat pulse method) seasonal, April till November, ET<sub>c act</sub> of the grapefruit grove was approximately 60% of the seasonal irrigation + rainfall depth, and reducing the irrigation dose by 40% would have caused substantial yield and profit losses (irrigation dose reduction of 20% caused ~ 10% yield reduction) (Friedman et al., <span>2009</span>). Similarly, the seasonal water consumption of the persimmon was approximately 40% of a high seasonal irrigation dose of 1000 mm (yielding 40 tons/ha), and reducing the irrigation dose by 60% would have caused approximately 50% yield loss (Kanety et al., <span>2014</span>).</p><p>On the other hand, there are also circumstances where the optimal daily irrigation dose is lower than the crop ET. In the spring–summer cultivation of silage corn on a clayey soil with shallow groundwater (water table depth of about 1.5 m), after about 600 mm of winter rains at the Agricultural Research Organization (ARO) model farm in Newe Ya'ar, Jezreel Valley, Israel (https://www.modelfarm-aro.org/?lang=en), a yield of about 19,500 kg dry matter per hectare was obtained with a seasonal irrigation dose of about 450 mm (during April to July, seasonal ET<sub>0</sub> of about 700 mm). Under conditions of lower ET<sub>0</sub> in Kansas, a similar yield of about 20,100 kg DM ha<sup>−1</sup> was obtained with an evaluated crop water consumption (ET<sub>c act</sub>) of 565 mm, that is, a water productivity of about 3.56 kg DM m<sup>−3</sup> (Hattendorf et al., <span>1988</span>). The water productivity in the warmer conditions in the Jezreel Valley is lower, thus the seasonal water consumption of corn there is higher than 550 mm (19,500 kg DM ha<sup>−1</sup>/3.56 kg DM m<sup>−3</sup>). Tensiometers installed at depths of 30, 60 and 120 cm indicated an upward water flow during most of the growing season. Based on the experience of growers in the region, it is not possible to obtain a higher yield with an increased seasonal irrigation rate. Therefore, under these conditions of water uptake from the soil profile and the shallow groundwater, and taking into account the water price (~ $0.3 m<sup>−3</sup>) and the market price of the yield ($0.2 kg DM<sup>−1</sup>), optimal irrigation is at a rate lower than the water consumption of the crop.</p><p>The issues that Rozenstein raised concerning spatial heterogeneity and variable-rate irrigation of spatially variable plots are not related to what I wrote in the short article that referred only to a uniform irrigation practice (contrary to what Rozenstein wrote, the use of an empirical production function does not ‘ignore’ the spatial heterogeneity, but takes it into account in an implicit mode). The practical and economic feasibility of variable-rate irrigation still needs to be proven on a wide scale. I wish Rozenstein and others success in developing these methodologies and technologies.</p><p>I agree with Rozenstein that using crop models (which I indeed consider a type of production function) to direct the irrigation rate is constructive, as I wrote in the article: ‘Fusion of monitored or historical weather data with crop models, predicting biomass accumulation and agricultural yields, can also be constructive for allocating daily irrigation amounts’. Using artificial intelligence methods is of course legitimate. According to the current state of progress, it seems to me that, at least for the time being, they should be agronomically constrained.</p><p>I do not think and I did not write in that article that using (empirical or modelled) production functions is a general optimal strategy. In my humble opinion, there is no single optimal approach for determining the daily irrigation dose in different agricultural circumstances, and depending on the different conditions and the different irrigation goals, it is necessary to choose different feed-forward or feed-back approaches, and sometimes also a combination of them. When considering the actual ET of the crop to direct the irrigation dose, one should take into account not only that the crop ET is one of several factors that determine the optimal irrigation dose, but also that the crop ET depends on the irrigation dose. Therefore, estimating the actual ET of the crop is usually not sufficient for deciding on the irrigation rate.</p>","PeriodicalId":14848,"journal":{"name":"Irrigation and Drainage","volume":"73 1","pages":"375-377"},"PeriodicalIF":1.6000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ird.2865","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Irrigation and Drainage","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ird.2865","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

I thank Offer Rozenstein for his commentary, and I agree with most of the things he wrote, those that refer to the original article (Friedman, 2023) and those that are not directly related to its main idea. The main idea of that short article was that optimal irrigation (from an agronomic or economic point of view) is usually at a rate higher or lower than the actual evapotranspiration (ETc act) rate of the crop (Rozenstein agrees with this main idea).

For example, Figure 1 displays the water consumption (ETc act) of cotton (cv. Pima) that Rozenstein et al. (2018) estimated by remote sensing of plant indices, in very good agreement with ground measurements using the eddy covariance method. Also displayed in this figure are the daily irrigation dose recommendations (in terms of Kc to be multiplied by ET0) of the Israeli Extension Service (IES) for that region, which were higher during most of the irrigation season and amounted to seasonal irrigation that was about 10% higher than the evaluated estimated crop evapotranspiration (until day of year [DOY] 227). The question arises: Are the recommendations of the IES higher than the (agronomical or economical) optimal irrigation rate? The answer is probably: No. Irrigation according to the IES recommendations which are at a multi-annual average rate of about 490 mm per season results in a yield of about 5300 kg ha−1 and an income of about $15,900 ha−1 (current cotton market price is about $3 kg−1). According to the cotton yield–irrigation production functions under various conditions (Dağdelen et al., 2009; Shalhevet et al., 1979; Wanjura et al., 2002), it seems that reducing the seasonal irrigation amount by about 10% would have reduced the yield by about 5% and the grower's profit by 4%, $650 ha−1 (accounting for only the cotton market price and irrigation water price of ~ $0.3 m−3). And what about the seasonal course of the irrigation dose recommended by the IES concerning the seasonal course of the crop's water consumption? Does it make sense to irrigate at rates higher than the actual ET at earlier stages and lower than the ET towards the end of the growing season (until eventually stopping irrigation at 30%–40% open bolls)? Yes, that makes sense. In the first growth stages, the root systems are small and cannot take up most of the water supplied from the point sources in drip irrigation, so it is necessary to irrigate in excess. It is also necessary to prevent the accumulation of harmful salinity. On the other hand, towards the end of the growing season, the available water in the soil profile can be utilized and it can be dried. In the case of cotton, in addition to water saving, the activation of water stress may improve fibre quality and promote natural defoliation resulting in a more efficient and effective harvest.

Another, more extreme example indicating that the optimal irrigation rate is much higher than the water consumption (ETc act) of the crop is from an experiment of bell pepper irrigation on a sandy soil in Western Negev, Israel. In the treatment in which the irrigation dosing was according to the approach and the crop coefficients of the FAO56 (Allen et al., 1998) and seasonal irrigation from June to December amounted to about 800 mm, we (Shani Sperling, a master's degree student under the guidance of Shabtai Cohen and myself, Sperling, 2013) measured daily transpiration rates of less than 40% of the irrigation rates using the heat pulse method (in good agreement with water and salinity balances in the soil profile evaluated with an array of 16 time-domain reflectometry [TDR] sensors). According to a yield–irrigation dose production function that we constructed in a preliminary experiment, reducing the irrigation dose to 40% of that mentioned above (800 mm), following the evaluated water consumption of the crop, would have caused a 50% reduction in the yield.

Agronomic and economic optimal irrigation dose larger than the water consumption (ETc act) is common in also intensively drip-irrigated orchards, for example, red grapefruit (Friedman et al., 2009) and persimmon (Kanety et al., 2014). The measured (via the heat pulse method) seasonal, April till November, ETc act of the grapefruit grove was approximately 60% of the seasonal irrigation + rainfall depth, and reducing the irrigation dose by 40% would have caused substantial yield and profit losses (irrigation dose reduction of 20% caused ~ 10% yield reduction) (Friedman et al., 2009). Similarly, the seasonal water consumption of the persimmon was approximately 40% of a high seasonal irrigation dose of 1000 mm (yielding 40 tons/ha), and reducing the irrigation dose by 60% would have caused approximately 50% yield loss (Kanety et al., 2014).

On the other hand, there are also circumstances where the optimal daily irrigation dose is lower than the crop ET. In the spring–summer cultivation of silage corn on a clayey soil with shallow groundwater (water table depth of about 1.5 m), after about 600 mm of winter rains at the Agricultural Research Organization (ARO) model farm in Newe Ya'ar, Jezreel Valley, Israel (https://www.modelfarm-aro.org/?lang=en), a yield of about 19,500 kg dry matter per hectare was obtained with a seasonal irrigation dose of about 450 mm (during April to July, seasonal ET0 of about 700 mm). Under conditions of lower ET0 in Kansas, a similar yield of about 20,100 kg DM ha−1 was obtained with an evaluated crop water consumption (ETc act) of 565 mm, that is, a water productivity of about 3.56 kg DM m−3 (Hattendorf et al., 1988). The water productivity in the warmer conditions in the Jezreel Valley is lower, thus the seasonal water consumption of corn there is higher than 550 mm (19,500 kg DM ha−1/3.56 kg DM m−3). Tensiometers installed at depths of 30, 60 and 120 cm indicated an upward water flow during most of the growing season. Based on the experience of growers in the region, it is not possible to obtain a higher yield with an increased seasonal irrigation rate. Therefore, under these conditions of water uptake from the soil profile and the shallow groundwater, and taking into account the water price (~ $0.3 m−3) and the market price of the yield ($0.2 kg DM−1), optimal irrigation is at a rate lower than the water consumption of the crop.

The issues that Rozenstein raised concerning spatial heterogeneity and variable-rate irrigation of spatially variable plots are not related to what I wrote in the short article that referred only to a uniform irrigation practice (contrary to what Rozenstein wrote, the use of an empirical production function does not ‘ignore’ the spatial heterogeneity, but takes it into account in an implicit mode). The practical and economic feasibility of variable-rate irrigation still needs to be proven on a wide scale. I wish Rozenstein and others success in developing these methodologies and technologies.

I agree with Rozenstein that using crop models (which I indeed consider a type of production function) to direct the irrigation rate is constructive, as I wrote in the article: ‘Fusion of monitored or historical weather data with crop models, predicting biomass accumulation and agricultural yields, can also be constructive for allocating daily irrigation amounts’. Using artificial intelligence methods is of course legitimate. According to the current state of progress, it seems to me that, at least for the time being, they should be agronomically constrained.

I do not think and I did not write in that article that using (empirical or modelled) production functions is a general optimal strategy. In my humble opinion, there is no single optimal approach for determining the daily irrigation dose in different agricultural circumstances, and depending on the different conditions and the different irrigation goals, it is necessary to choose different feed-forward or feed-back approaches, and sometimes also a combination of them. When considering the actual ET of the crop to direct the irrigation dose, one should take into account not only that the crop ET is one of several factors that determine the optimal irrigation dose, but also that the crop ET depends on the irrigation dose. Therefore, estimating the actual ET of the crop is usually not sufficient for deciding on the irrigation rate.

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对 Offer Rozenstein 关于 "作物蒸散率是推荐灌溉率的良好替代物吗?
5米),在以色列杰兹里尔山谷 Newe Ya'ar 的农业研究组织(ARO)示范农场(https://www.modelfarm-aro.org/?lang=en),经过约600毫米的冬雨后,每公顷产量约为19500千克干物质,季节灌溉剂量约为450毫米(4月至7月期间,季节ET0约为700毫米)。在堪萨斯州较低的 ET0 条件下,评估的作物耗水量(ETc 作用)为 565 毫米,即水分生产率约为 3.56 千克 DM m-3(Hattendorf 等人,1988 年),每公顷产量约为 20,100 千克 DM。杰兹雷尔山谷气候温暖,水分生产率较低,因此玉米的季节耗水量高于 550 毫米(19,500 千克 DM 公顷-1/3.56 千克 DM 米-3)。安装在 30、60 和 120 厘米深处的张力计显示,在生长季节的大部分时间里,水流都是向上的。根据该地区种植者的经验,提高季节灌溉率不可能获得更高的产量。因此,在土壤剖面和浅层地下水吸水的条件下,考虑到水价(约 0.3 美元 m-3)和产量的市场价格(0.2 美元 kg DM-1),最佳灌溉水量应低于作物耗水量。Rozenstein 提出的空间异质性和空间可变地块的变率灌溉问题与我在短文中提到的统一灌溉方 法无关(与 Rozenstein 的观点相反,使用经验生产函数并没有 "忽略 "空间异质性,而是以隐 含方式将其考虑在内)。变率灌溉的实用性和经济可行性仍有待大范围验证。我同意罗曾斯坦的观点,即使用作物模型(我认为这也是一种生产函数)来指导灌溉速率是有建设性的,正如我在文章中所写:"融合监测或历史气象数据,可以提高灌溉效率:将监测或历史气象数据与作物模型相结合,预测生物量积累和农业产量,对分配每日灌溉量也有建设性作用"。使用人工智能方法当然是合理的。根据目前的进展情况,我认为至少在目前,人工智能方法应受到农艺学的限制。我并不认为使用(经验或模型)生产函数是一种普遍的最优策略,我也没有在那篇文章中这样写。在我看来,在不同的农业环境下确定日灌溉量并没有单一的最优方法,根据不同的条件 和不同的灌溉目标,有必要选择不同的前馈或反馈方法,有时也可以将它们结合起来。在考虑作物实际蒸散发来确定灌溉剂量时,不仅要考虑作物蒸散发是决定最佳灌溉剂量 的几个因素之一,还要考虑作物蒸散发取决于灌溉剂量。因此,估算作物实际蒸散发通常不足以确定灌溉水量。
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Irrigation and Drainage
Irrigation and Drainage 农林科学-农艺学
CiteScore
3.40
自引率
10.50%
发文量
107
审稿时长
3 months
期刊介绍: Human intervention in the control of water for sustainable agricultural development involves the application of technology and management approaches to: (i) provide the appropriate quantities of water when it is needed by the crops, (ii) prevent salinisation and water-logging of the root zone, (iii) protect land from flooding, and (iv) maximise the beneficial use of water by appropriate allocation, conservation and reuse. All this has to be achieved within a framework of economic, social and environmental constraints. The Journal, therefore, covers a wide range of subjects, advancement in which, through high quality papers in the Journal, will make a significant contribution to the enormous task of satisfying the needs of the world’s ever-increasing population. The Journal also publishes book reviews.
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