Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia最新文献_第2页

Predicting Iran’s future agro-climate variability and coherence using zonation‑based PCA 使用基于区划的主成分分析预测伊朗未来农业气候的可变性和一致性

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2023-01-29 DOI: 10.36253/ijam-1557

S. Sharafi

{"title":"Predicting Iran’s future agro-climate variability and coherence using zonation‑based PCA","authors":"S. Sharafi","doi":"10.36253/ijam-1557","DOIUrl":"https://doi.org/10.36253/ijam-1557","url":null,"abstract":"The effects of climate changes on agroecosystems can cause relevant issues. Using principal component analysis (PCA) we determined the 67 agricultural climate indicators (ACI) at 44 of Iran’s synoptic stations under current (1990-2019) and future (2025, 2050, 2075, and 2100) conditions. Based on UNESCO aridity index, the agroecological zonation (AEZ) was used to classify Iran’s regions (very dry, dry, semidry and humid climates). Using the PCA method, the first 5 principal components were determined by including data sets for temperature (winter, spring, summer and autumn maximum and winter minimum temperature), precipitation (winter and summer precipitation), reference evapotranspiration (ETref), and the degree of growth days in spring and winter, which explained about 96 percent of the total variance. For each climate empirical equation for ETref was selected. In order to accurate evaluation of ETref were used The Penman-Monteith based on FAO56 (PM-FAO56) for the very dry climate, the Hargreaves equation for the semidry climate, and the Penman 1 and 2 equations for the dry and humid climates, respectively. According to the results, the first component alone, with an eigenvalue of 41.15, explained more than 74 percent of the total variance. Based on the results of zoning by the PCA outcomes, the stations for 1990-2019 were classified into 7 zones. While 2025, 2050, 2075, and 2100 were classified in 6, 7, 6, and 5 zones, respectively. Under the future climatic conditions of the country, in terms of climatic indicators, the similarity between the stations will increase and the climatic diversity of the country will decline compared to current conditions. The results demonstrated that the PCA method would be valuable for monitoring AEZ in semidry climates at reasonably long periods.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46506785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Effects of phenological stages, growth and meteorological factor on the albedo of different crop cultivars 不同作物品种的生育期、生育期和气象因子对反射率的影响

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1445

F. Bakanoğullari, L. Şaylan, Serhan Yeşilköy

{"title":"Effects of phenological stages, growth and meteorological factor on the albedo of different crop cultivars","authors":"F. Bakanoğullari, L. Şaylan, Serhan Yeşilköy","doi":"10.36253/ijam-1445","DOIUrl":"https://doi.org/10.36253/ijam-1445","url":null,"abstract":"Albedo is a key component of the atmospheric, climatologic and remote sensing studies by means of global warming, energy balance, evapotranspiration, climate models, hydrological cycle etc. For these reasons, the accurate determination of surface albedo has become more important. In this study, the variation of measured albedo values of winter wheat, barley and sunflower cultivars according to phenological stages was investigated for the first time in the northwestern part of Turkey. Additonally, influences of leaf area index as growth indicator and rainfall as meteorological variable on albedo were also analyzed. The average albedo values of winter wheat, barley and sunflower in both growing periods varied from 0.176 to 0.190 for winter wheat, from 0.171 to 0.189 for sunflower and from 0.187 to 0.214 for barley cultivars. According to phenological stages, the minimum and maximum average albedo values were found for winter wheat as 0.121 between sowing and germination and 0.247 between stem formation and head emergence; for sunflower as 0.150 between sowing and germination and 0.212 between leaf initiation and immature bud; for barley as 0.144 sowing and germination and 0.261 between head emergence and flowering stages. Additionally, significant relationships were found between albedo and leaf area index for winter wheat, barley and sunflower as r2=0.87, r2=0.82 and r2=0.77, respectively. ","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42530330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effects of heat waves on soil temperatures in Slovenia 热浪对斯洛文尼亚土壤温度的影响

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1388

T. Pogačar, Lučka Kajfež Bogataj, Rok Kuk, Z. Črepinšek

{"title":"Effects of heat waves on soil temperatures in Slovenia","authors":"T. Pogačar, Lučka Kajfež Bogataj, Rok Kuk, Z. Črepinšek","doi":"10.36253/ijam-1388","DOIUrl":"https://doi.org/10.36253/ijam-1388","url":null,"abstract":"Soil temperature regulates the rate of plant growth and tells us much about the climatic characteristics of a particular site. Climate variability and extremes need to be studied and there is a large gap in knowledge about soil temperature during heat waves. Agricultural land is highly dependent on heat waves, which are becoming longer, more intense and more frequent, and it is important to monitor soil temperatures in situ to understand their changes during heat waves. Therefore, the aim of this work was to investigate how soil temperatures change at different depths during and after heat waves. Average daily air and soil temperature data for the 25-year period 1992-2016 were evaluated at four agrometeorological stations in three climate zones in Slovenia and analyzed during heat waves determined according to the Slovenian definition. During the period 1992-2016, 53 (Lesce) to 76 (Ljubljana) heat waves were identified. Analysis of average air and soil temperatures before, during and after heat waves showed higher responsiveness of the upper part of the soils and an increase in the time lag between maximum air temperature and maximum soil temperature with depth. The maximum temperature during the heat wave was reached on average in three to nine days, depending on the depth. Only in Moderate climate of the hilly region, the average daily temperatures at a depth of 100 cm remained below 20°C during and after the heat wave. The temperature rise in the deeper layers of the soil lasts longer than in the shallower layers. ","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41634742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The effect of deficit irrigation and fertilizer on quantitative and qualitative yield of quinoa (Chenopodium quinoa) 亏缺灌溉和施肥对藜麦产量的影响

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1136

Hassan Fatemi Kiyan, M. Tatari, Mohammad Reza Tokalo, M. Salehi, K. Hajmohammadnia Ghalibaf

{"title":"The effect of deficit irrigation and fertilizer on quantitative and qualitative yield of quinoa (Chenopodium quinoa)","authors":"Hassan Fatemi Kiyan, M. Tatari, Mohammad Reza Tokalo, M. Salehi, K. Hajmohammadnia Ghalibaf","doi":"10.36253/ijam-1136","DOIUrl":"https://doi.org/10.36253/ijam-1136","url":null,"abstract":"In order to investigate the effect of deficit irrigation and chemical fertilizers on yield and some physiological traits of quinoa an experiment was conducted in 2019 as split plot based on a randomized complete block design in two locations (Mashhad and Neishabour). Irrigation included, I0: full irrigation, I1: no irrigation at emergence stage, I2: no irrigation at stem elongation stage, I3: no irrigation at flowering stage, I4: no irrigation at seed setting stage. Fertilizer treatments included control (no fertilizer application); chemical fertilizer application according to local practices; manure application of 10 tons; and manure application of 20 tons per hectare. In general, seed yield, percentage of protein and seed oil in Mashhad was higher than in Neishabour. I2 treatment had the least negative effect on relative leaf water content. Application of chemical fertilizers, 10 tons and 20 tons of animal manure increased the percent of seed protein by 1.43, 1.66 and 2.37 compared to the control, respectively. The highest percentage of seed oil (5.91%) was obtained for treatment I2 in Mashhad and the lowest percentage of seed oil (4.18%) was obtained for treatment I4 in Neishabour. The lowest seed yield due to I1 treatment was observed in Neishabour and the highest seed yield was related to I0 treatment with 20 tons of manure and was observed in Mashhad. The results showed that the yield and water stress tolerance potential of quinoa can be modified by irrigation, fertilizer source and location.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47615493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Agricultural drought assessment on the base of Hydro-thermal Coefficient of Selyaninov in Poland 基于水热系数的波兰塞利亚尼诺夫地区农业干旱评价

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1530

Joanna Chmist-Sikorska, M. Kępińska-Kasprzak, P. Struzik

引用次数: 1

Evaluation of artificial intelligence models for daily prediction of reference evapotranspiration using temperature, rainfall and relative humidity in a warm sub-humid environment 基于温度、降雨和相对湿度的人工智能模型在温暖亚湿润环境下每日参考蒸散量预测的评价

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1373

Victor H. Quej, Crescencio de la Cruz Castillo, J. Almorox, B. Rivera-Hernández

{"title":"Evaluation of artificial intelligence models for daily prediction of reference evapotranspiration using temperature, rainfall and relative humidity in a warm sub-humid environment","authors":"Victor H. Quej, Crescencio de la Cruz Castillo, J. Almorox, B. Rivera-Hernández","doi":"10.36253/ijam-1373","DOIUrl":"https://doi.org/10.36253/ijam-1373","url":null,"abstract":"Accurate estimation of reference evapotranspiration is essential for agricultural management and water resources engineering applications. In the present study, the ability and precision of three artificial intelligence (AI) models (i.e., Support Vector Machines (SVMs), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Categorical Boosting (CatBoost)) were assessed for estimating daily reference evapotranspiration (ET0) using limited weather data from five locations in a warm sub-humid climate in Mexico. The Penman–Monteith FAO-56 equation was used as a reference target for ET0 values. Three different input combinations were investigated, namely: temperature-based (minimum and maximum air temperature), rainfall-based (minimum air temperature, maximum air temperature and rainfall), and relative humidity-based (minimum air temperature, maximum air temperature and relative humidity). Extraterrestrial radiation values were used in all combinations. The temperature-based AI models were compared with the conventional Hargreaves–Samani (HS) model commonly used to estimate ET0 when only temperature records are available. The goodness of fit for all models was assessed in terms of the coefficient of determination (R2), Nash–Sutcliffe model efficiency coefficient (NSE), root mean square error (RMSE) and mean absolute error (MAE). The results showed that among the AI models evaluated, the SVM models outperformed ANFIS and CatBoost for modeling ET0. Further, the influence of relative humidity and rainfall on the performance of the models was investigated. The analysis indicated that relative humidity significantly improved the accuracy of the models. Finally, the results showed a better response of the temperature-based AI models over the HS method. AI models can be an adequate alternative to conventional models for ET0 modeling.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46656903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Technical and economic study of irrigation scheduling devices on corn water productivity in a semi-arid region 半干旱地区灌溉调度装置对玉米水分生产率的技术经济研究

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2022-07-19 DOI: 10.36253/ijam-1513

M. A. Shahrokhnia, E. Zare

{"title":"Technical and economic study of irrigation scheduling devices on corn water productivity in a semi-arid region","authors":"M. A. Shahrokhnia, E. Zare","doi":"10.36253/ijam-1513","DOIUrl":"https://doi.org/10.36253/ijam-1513","url":null,"abstract":"It is essential to consider water allocation control and on-farm irrigation scheduling to increase water productivity in agriculture. There are several devices used for irrigation scheduling, however the best device with the most priority is not identified yet. In the present study, the effect of using several irrigation scheduling devices on increasing water productivity in a corn field was investigated. The devices were classified technically and economically using analytic hierarchy process. The experimental farm was located in a semi-arid region in Iran, which was managed by a farmer and irrigated with drip irrigation system. Six techniques for irrigation scheduling were studied including Penman-Monteith model (T2), infrared thermometer (T3), soil moisture meter (T4), tensiometer (T5), and gypsum block (T6). The irrigation scheduling treatments were compared with the conventional treatment adopted by the farmer (T1). Economic analysis was performed. The ease of use of the devices was also evaluated. Results showed for the irrigation scheduling treatments of T3 to T6, applied irrigation water was reduced by 11 to 26% compared to T1. The corn yield in irrigation scheduling treatments was not reduced significantly compared to T1. As a result, water productivity increased by 35% from 2.0 to 2.7 kg/m3. The best irrigation scheduling device in terms of water productivity was gypsum block. In regard to affordability and ease of use by farmers, the Penman-Monteith model had more priority. Considering all assessment criteria, tensiometer (T5) was given the first priority. The infrared thermometer (T3) and Penman-Monteith model (T2) were identified as the next priorities.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43739522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Response of yam varieties to soil moisture regime in Southwestern Nigeria 尼日利亚西南部不同品种对土壤水分状况的响应

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2021-12-27 DOI: 10.36253/ijam-1324

A. Eruola

{"title":"Response of yam varieties to soil moisture regime in Southwestern Nigeria","authors":"A. Eruola","doi":"10.36253/ijam-1324","DOIUrl":"https://doi.org/10.36253/ijam-1324","url":null,"abstract":"A field experiment was conducted on varietal response of white yam to moisture regime in Abeokuta. The experiment comprised three varieties of yam (Efuru, Ise-osi and Oniyere), three mulching options (grass, polythene and unmulched), and two planting dates (early and late). Treatments were replicated three times using RCBD lay-out. Model for selecting planting date involved relating potential evapotranspiration (PE) to precipitation (P) in the form of 0.1PE<P < 0.5PE, partitioned for attaining optimal planting date into early {T1= Σ(P-0.1PE) ≤ 0} and late {T2 = Σ(P-0.5PE) ≤ 0}, respectively. For humid period defined by P> PE, the physiological parameters and moisture agro-climatic indices measured during phenological stages of yam grown were analyzed with respect to treatments. Result showed that T1 defined as Σ(P-0.1PE) ≤ 10 mm appeared as the best model that significantly (P < 0.05) influenced emergence rate, phenological growth and tuber yield. All yam varieties evaluated were suitable for planting with respect to yield. Efuru and Ise-osi synchronized perfectly with Actual Water Availability and produced good vegetative growth with LAI of 1.08 and 0.91 leading to higher tuber yield of 12 and 11.64 tonnes ha-1, respectively. Grass mulch had tuber yield, 4-6 tonnes ha-1greater than the polythene and unmulched plots in all varieties. Mulching significantly (P< 0.05) increased tuber yield, 6-8 tonnes ha-1than the unmulched. Conclusively, early planting with grass mulch increased tuber yield.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48343580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Assessment of deficit irrigation impact on agronomic parameters and water use efficiency of six chickpea (Cicer Arietinum L.) cultivars under Mediterranean semi-arid climate 地中海半干旱气候下亏水灌溉对6个鹰嘴豆品种农艺参数和水分利用效率的影响

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2021-12-27 DOI: 10.36253/ijam-1261

B. Douh, A. Mguidiche, Massoud Jar Allah al-Marri, M. Moussa, Hichem Rjeb

{"title":"Assessment of deficit irrigation impact on agronomic parameters and water use efficiency of six chickpea (Cicer Arietinum L.) cultivars under Mediterranean semi-arid climate","authors":"B. Douh, A. Mguidiche, Massoud Jar Allah al-Marri, M. Moussa, Hichem Rjeb","doi":"10.36253/ijam-1261","DOIUrl":"https://doi.org/10.36253/ijam-1261","url":null,"abstract":"Six kabuli chickpea genotypes (Cicer Arietinum L.) were evaluated under three water levelss at the open field during February -June 2018. This study was conducted to evaluate the chickpea water stress, on soil water dynamic, agromorphological traits, and water use efficiency to estimate variability levels between varieties and to identify the varieties of chickpea adaptable on semi-arid bioclimatic stage. For this purpose, a trial was conducted at the Higher Agronomic Institute of Chott Mariem (Tunisia). There is no effect of the treatment on the height, biological yield, and branching number. The seeds weigh, PCG, seed yield, harvest index, and water use efficiency relative to seed have the highest value in T1 (100% of ETc) when water use efficiency relative to biological yield, number of pods and of seeds recorded the highest values in T3 (50% of ETc). Univariate analysis showed highly significant differences between genotypes for many traits. Principal Component Analysis was performed for all traits and allowed to define two axes. The first one explains 49.30% of the variability of the total trait and was formed by genotypes ‘Beja’, ‘Nayer’ and’ ‘Rebha’. Genotypes forming this axe are closely related to each other according to their common morphological characters like height (r=0.88), biological yield (r=0.93), bringing the number (r=0.53), seed yield (r=0.81), WUE relative to seed (r=0.75), harvest index (r=0.65) and WUE relative to biological yield (r=0.94). The second clustered genotypes ‘Bochra’ and ‘Nour’. This second axe (27.99%) is represented by pods number (r=0.87), seed number (r=0.87) and PCG (r=0.78).","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43707047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Efficacy of benzyladenine for compensating the reduction in soybean productivity under low water supply 苄基腺嘌呤补偿低供水条件下大豆产量下降的效果

IF 1.2 4区农林科学

Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2021-12-27 DOI: 10.36253/ijam-872

H. Saudy, I. El-Metwally, M. Abdelhamid

{"title":"Efficacy of benzyladenine for compensating the reduction in soybean productivity under low water supply","authors":"H. Saudy, I. El-Metwally, M. Abdelhamid","doi":"10.36253/ijam-872","DOIUrl":"https://doi.org/10.36253/ijam-872","url":null,"abstract":"Undoubtedly, drought is a negative consequence of climate change. Farmers have to deal with this issue and may be forced to irrigate their crops with less water than required, however reduction in productivity is anticipated. Thus, two–year field trials were conducted to assess the impact of irrigation regimes (60, 80 and 100% of crop evapotranspiration, denoted ET60, ET80, and ET100, respectively) and benzyladenine rates (0, 50, 100, 150 and 200 mg L−1, symbolized as BA0, BA50, BA100, BA150, BA200, respectively) on soybean. Findings clarified that the maximum increases in plant height and net assimilation rate were obtained with the interactions of ET100 or ET80 x BA200 or BA150 in both seasons. ET80 x BA200 (in both seasons) and ET100 x BA150 (in the first season) were as similar as ET100 x BA200 for enhancing pods number plant−1. Irrigation water use efficiency progressively increased with decreasing irrigation water amount and increasing benzyladenine rate. In conclusion, the reduction in seed yield due to lowering water supply up to 80% of crop evapotranspiration (with saving 20% of irrigation water) could be compensated using benzyladenine, 150 mg L−1, thus it should be involved in soybean irrigation programs.","PeriodicalId":54371,"journal":{"name":"Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49087894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27