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Complementary effect of zoo compost with mineral nitrogen fertilisation increases wheat yield and nutrition in a low-nutrient soil

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Pedosphere 2022年第2期32卷 339-347页

作者： Muhammad S.A.KHAN Lynette K.ABBOTT Zakaria M.SOLAIMAN Peter R.MAWSON Ian S.WAITE Sasha N.JENKINS School of Agriculture and Environment Institute of AgricultureThe University of Western AustraliaPerth WA 6009Australia Perth Zoo Department of BiodiversityConservation and AttractionsPerth WA 6151Australia Agricultural Officer(Headquarters) DirectorateSoil Fertility Research InstituteAgriculture DepartmentGovernment of the PunjabLahore 53700Pakistan

Excess nitrogen(N) fertiliser use in agriculture is associated with water pollution and greenhouse gas *** practices and programs to reduce N fertiliser application continue to be developed,inefficient fertiliser use *** that reduce mineral N fertiliser application are needed in a sustainable agricultural ecosystem to control leaching and gaseous losses for environmental *** study evaluated whether fully or partially replacing mineral N fertiliser with zoo compost(Perth Zoo) could be a good mitigation strategy to reduce mineral N fertiliser application without affecting wheat yield and *** achieve this,a glasshouse experiment was conducted to assess the complementary effect of zoo compost and mineral N fertiliser on wheat yield and nutrition in a sandy soil of southwestern ***,a chlorophyll meter was used to determine whether there was a correlation between chlorophyll content and soil mineral N content,grain N uptake,and grain protein content at the tillering(42 d after sowing(DAS)) and heading(63 DAS) growth *** standard practice for N application for this soil type in this area,100 kg ha^(-1),was used with a soil bulk density of 1.3 g cm^(-3) to calculate the amount of mineral N(urea,46% N) and Perth Zoo compost(ZC)(0.69% N) for each *** comprised a control(no nutrients added,T1),mineral N only(100 kg N ha^(-1),T2),ZC only(100 kg N ha^(-1),T7),and combinations of mineral N and ZC at different rates(mineral N at 100 kg N ha^(-1)+ ZC at 25 kg N ha^(-1)(T3),mineral N at 75 kg N ha^(-1)+ ZC at 25 kg N ha^(-1)(T4),mineral N at 75 kg N ha^(-1)+ ZC at 50 kg N ha^(-1)(T5),and mineral N at 50 kg N ha^(-1)+ ZC at 50 kg N ha^(-1)(T6)).The T6 treatment significantly increased grain yield(by 26%) relative to the T2 ***,the T7 treatment did not affect grain yield when compared to the T2 *** treatments with mineral N and ZC in combination significantly improved the

关键词： chlorophyll meter SPAD measurement integrated nutrient management nitrogen use efficiency reduced N fertiliser application wheat yield

Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia

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Big Earth Data 2022年第1期6卷 18-35页

作者： Awetahegn Niguse Beyene Hongwei Zeng Bingfang Wu Liang Zhu Tesfay Gebretsadkan Gebremicael Miao Zhang Temesgen Bezabh State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Tigray Agricultural Research Institute MekelleEthiopia Climate Change and Rural Development Mekelle UniversityMekelleEthiopia

Estimation of crop yield at a regional level is essential for making agricultural planning and addressing food security issues in *** sensing observations,particularly the leaf area index(LAI),have a strong relationship with crop *** study has proposed an approach to estimate wheat yield at field level and regional scale in Ethiopia by assimilating the retrieved MODIS time-series LAI data into the WOrld FOod STudies(WOFOST)*** improve the estimation of crop yield in the region,the Ensemble Kalman Filter(EnKF)was used to incorporate the LAI into the WOFOST *** estimation accuracy of wheat crop yield was validated using field-measured yields collected during the 2018 growing *** findings indicated that wheat yield was more precisely estimated by WOFOST(at water-limited mode)with EnKF algorithm(R^(2)=0.80 and RMSE=413 kg ha^(−1))compared to that of without assimilating remotely sensed LAI(R^(2)=0.58,RMSE=592 kg ha^(−1)).These results demonstrated that assimilating MODIS-LAI into WOFOST has high potential and practicality to give a reference for wheat yield *** findings from this study can provide information to policy,decision-makers,and other similar sectors to implement an appropriate and timely yield estimation measure.

关键词： wheat yield WOFOST model Ensemble Kalman Filter remote sensing

Study on Rational Irrigation for wheat Production in Fengqiu Region: Ⅰ. Analysis of the Relation Between Soil Water Supply and wheat yield

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Pedosphere 1997年第3期7卷 251-256页

作者： ZHOULINGYUN CHENZHIXIONG InstituteofSoilScience AcademiaSinica.P.O.Box821Nanjing210008（China） InstituteofSoilScience Academia

A 5-year experiment on water balance was conducted in a flat rainfed wheat field with an area of 66 m×100 m in Fengqiu, Henan Province, China. Results of the experiment showed that the correlation between wheat yield and water consumption was not significant, but that between wheat yield and the ratio of water supply to Penman evaporation was significant, following a parabolic curve. The water consumption process,as well as the growing season of wheat plant, could be divided into three periods. The first (154 days) was vegetative growth period, during which the water consumption accounted for 35% of the total; the second (65 days) reproductive growth period, during which the water consumption occupied 57%, indicating the importance of water consumption in this period; and the third (5~9 days) maturation period, during which water supply was not important to yield formation. According to the statistics of meteorological data over the years in this region, the hydrological conditions of the five seasons covered a probability range of 74.8%.The results (3.46~5.63 t ha-1) indicated that the productivity of the wheat field under rainfed conditions in this region had a degree of confidence of 74.8%.

关键词： Fengqiu region soil water supply wheat yield

Artificial Neural Networks Application to Predict wheat yield Using Climatic Data

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Journal of Agricultural Science and Technology(B) 2011年第1期1卷 76-88页

作者： B. Safa A. Khalili M. Teshnehlab A. Liaghat Department of Agronomy and Horticulture University of Nebraska-Lineoln 202 Keim Hall Lincoln NE 68583-0915 USA Department of Irrigation and Reclamation Engineering College of Agriculture University of Tehran Karaj lran Department of Electrical Engineering K.N. Toosi Technology University Tehran lran

The goal of this study was to apply artificial neural networks to predict rain-fed wheat yield using meteorological data a few days to few months before harvesting. The climatic observation data used; were mean of daily minimum and maximum temperature, extreme of daily minimum and maximum temperature, sum of daily rainfall, number of rainy days, sum of daily sun hours, mean of daily wind speed, extreme of daily wind speed, mean of daily relative humidity, and sum of daily water requirements that were collected during 1990-1999 in Sararood Station for wheat phenological stages consisting; sowing, germination, emergence, 3rd leaves, tillering, stem formation, heading, flowering, milk maturity, wax maturity, full maturity, separately for each growing season. Then, they arranged in a matrix whose rows form each of the statistical years and the columns are meteorological factors at each phenological stage. Finally, the obtained model had the following capabilities： Prediction of wheat yield with maximum errors of 45-60 kg/ha at least two months before full maturity stage, determination of the sensitivity of each phenological stage with respect to meteorological factors, and determination of the priority order and importance of each meteorological factor effective in plant growth and crop yield.

关键词： Artificial neural network wheat yield climatic data phenological stage crop model.

Analysis on Relationship between Overcast and Rainy Weather, Drought, Flood and wheat yield

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Meteorological and Environmental Research 2011年第9期2卷 47-48,80页

作者： YU Li-jie WANG Xiu-fang LIU Jing-jing Jiyuan Meteorological Bureau in Henan Province Jiyuan 459000China Anyang Meteorological Bureau in Henan Province Anyang 455000China

[Objective] The research aimed to study influence of meteorological factor in late growth stage of wheat. [Method] Based on precipitation, sunshine and yield per unit of wheat in Anyang City in May of 1979-2008, the positive and negative influences of meteorological condition in late growth stage of wheat (May) on wheat yield in Anyang City were analyzed by using agricultural climatic statistical method. Moreover, the reason and defense measure of green-dry hazard in late growth stage of wheat in the city were studied. [Result] When the sunshine percentage in May > 55%, and rainfall wheat yield generally increased. But when it was overcast and rainy, and the sunshine was less, especially monthly rainfall > 80 mm, and monthly sunshine percentage wheat yield generally reduced. The overcast and rainy weather, flood in late growth stage of wheat were easy to cause green-dry yield reduction. The rainless weather even drought weren’t obviously unfavorable for good harvest of wheat. In May, when precipitation was too more, or duration was too long, and the air humidity was too big, the normal water supply and inorganic nutrient transmission were affected. Meanwhile, when the overcast and rainy weather was longer, the sunshine was shorter, and the sunshine intensity weakened in late stage, it wasn’t favorable for accumulation of photosynthetic product, and the normal implementing of grouting process was affected. The measures should be used to prevent and control green-dry yield reduction of wheat, such as discharging water and preventing flood, breeding good seed, scientific planting and reasonable irrigation. [Conclusion] The research provided scientific basis for studying variety improvement, scientific plantation, reasonable irrigation, good quality and high yield of wheat.

关键词： wheat yield Meteorological factor Late growth stage Influence analysis China

Development of an intelligent system based on ANFIS for predicting wheat grain yield on the basis of energy inputs

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Information Processing in Agriculture 2014年第1期1卷 14-22页

作者： Benyamin Khoshnevisan Shahin Rafiee Mahmoud Omid Hossein Mousazadeh Department of Agricultural Machinery Engineering Faculty of Agricultural Engineering and TechnologyUniversity of TehranKarajIran

Energy is regarded as one of the most important elements in agricultural *** the last decades energy consumption in agriculture has increased,so finding the relationship between energy consumption and crop yields in agricultural production can help to achieve sustainable *** this study several adaptive neuro-fuzzy inference system(ANFIS)models were evaluated to predict wheat grain yield on the basis of energy ***,artificial neural networks(ANNs)were developed and the obtained results were compared with ANFIS *** the best ANFIS structure gained in this study,R,RMSE and MAPE were calculated as 0.976,0.046 and 0.4,*** developed ANN was a multilayer perceptron(MLP)with eleven neurons in the input layer,two hidden layers with 32 and 10 neurons and one neuron(wheat grain yield)in the output *** the best ANN model,R,RMSE and MAPE were computed as 0.92,0.9 and 0.1,*** results illustrated that ANFIS model can predict the yield more precisely than ANN.

关键词： wheat yield Energy consumption Prediction ANFIS ANN

Effects of Long-term Located Fertilization on wheat yield and Soil Nutrients of Three Types of Soils in Shandong Province

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Agricultural Science & Technology 2014年第3期15卷 400-406,426页

作者：张英鹏刘兆辉李彦仲子文孙明井永苹山东省农业科学院农业资源与环境研究所山东济南250100 农业部黄淮海平原农业环境重点实验室山东济南250100 山东省农业面源污染防控重点实验室山东济南250100 山东省农业科学院山东济南250100

[Objective] This study aimed to investigate the effects of long-term differ- ent fertilization in three types of soils on wheat yield and soil nutrient variation in Shandong Province. [Method] A 30-year located experiment in Jinan of Shandong Province was selected and the results of soil nutrient and crop yield in 1984, 1987, 1988, 1989, 1990, 2001, 2005, 2006, 2007 and 2010 were measured and collected. In this study, five treatments： CK, NP, NK, PK and NPK of the located experiment were selected. [Result] The three types of soils in wheat yields decreased signifi- cantly in the first several years and in 2006. wheat yields of the treatments with P fertilizers were obviously higher than those without P fertilizers; it was shown that phosphorus is the primary nutritional factor for high-yielding of wheat. The highest yield is from cinnamon soil, followed by that from brown soil, and the lowest pro- duction is from fluvo-aquic soil. Under the same fertilization, the influence of other factors on wheat yield of brown soil is the smallest, while cinnamon soil is vulnera- ble to the influence of external conditions, resulting in larger fluctuation of annual wheat yield. The alkali-hydro nitrogen contents of three kinds of soils first de- creased, then raised, and at last reduced apparently. Since 2007, the change of al- kali-hydro nitrogen content appeared rebounded. The available P contents of no- phosphorus treatments decreased over time while those of the treatments with P fertilizers increased at first, then decreased, and after that kept relatively stable. The available K contents of no K treatments decreased slowly. The treatments of PK and NK had higher available K content than NPK treatment. [Conclusion] Thus, it is an effective fertilization measure to improve the wheat yield by supplying reasonable phosphate fertilizer and nitrogen fertilizer and making up potassium fertilizer.

关键词： Long-term located fertilization Brown soil Fluvo-aquic soil Cinnamon soil wheat yield Soil nutrient

yield of wheat (<i>Triticum aestivum</i>) and Nutrient Uptake in Grain and Straw as Influenced by Some Macro (S &Mg) and Micro (B &Zn) Nutrients

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Natural Science 2021年第9期13卷 381-391页

作者： Md. Abul Kalam Azad Tazuddin Ahmed Touria El-Jaoual Eaton Md. Mukhtar Hossain Md. Kamrul Haque Edward Binod Soren Department of Crop Science & Technology Rajshahi University Rajshahi Bangladesh Cooperative Extension and Research Lincoln University of Missouri Jefferson MO USA

A wheat variety BARI Gom 26 was cultivated with an objective of evaluating the effects of macro/secondary nutrients as S and Mg, and micro nutrients as B and Zn on yield, yield contributing traits and nutrient uptake status by the crop. The field experiment was con-ducted in the “North Eastern Barind Tract Soils” at Kushadaha, Nawabganj, Dinajpur, Bangladesh from November, 2014 to March, 2015. The surface soil was clay in texture, having pH 5.61, organic matter 1.58%, total N 0.10%, available P 7.03 ppm, exchangeable K 0.11 meq/100g, available S 2.57 ppm, exchangeable Mg 0.55 meq/100g, available Zn 1.30 ppm, available B 0.08 ppm. The experiment was designed with five treatments laid out in a randomized complete block design (RCBD) with three replications. The treatments were T1: NPK (control), T2: NPK + S, T3: NPK + S + Mg, T4: NPK + S + Mg + Zn and T5: NPK + S + Mg + Zn + B. All plots of wheat received 100 kg N/ha, 30 kg P/ha and 70 kg K/ha as basal dose. The secondary and micro nutrients doses were 15 kg S/ha, 6 kg Mg/ha, 2.5 kg Zn/ha and 1.5 kg B/ha. Results revealed that the plant height, tillers/hill, 1000-grain weight, yield of grain and straw, uptake of some specific nutrients in grain and straw were signifi-cantly influenced by all the treatments, though these treatments did not show any identical effect on spike length, content of P and Mg in wheat. Significantly highest amount of 1000-grain weight, yield of grain and straw weight of wheat were obtained in applying T2 treatment that employed the addition of S with recommended dose of NPK. Significant positive effects were also observed for the rest parameters in receiving the treatments composed of secondary and micronutrients (T3, T4, and T5). The highest concentration of nutrient uptake N, P, K and S in grain and straw of wheat were also obtained due to the application of T2 treatment. In the case of Mg, the maximum uptake was recorded in T4 where Mg was added as a component of this treatment. In contrast

关键词： Grain Straw Treatments Nutrient Content Nutrient Uptake wheat yield

Effects of water and nitrogen rate on grain-filling characteristics under high-low seedbed cultivation in winter wheat

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Journal of Integrative Agriculture 2024年第12期23卷 4018-4031页

作者： Junming Liu Zhuanyun Si Shuang Li Lifeng Wu Yingying Zhang Xiaolei Wu Hui Cao Yang Gao Aiwang Duan Institute of Farmland Irrigation Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Water Use and RegulationMinistry of Agriculture and Rural AffairsXinxiang 453002China Graduate School of Chinese Academy of Agricultural Sciences Beijing 100081China Shandong Academy of Agricultural Machinery Sciences Jinan 250000China Binzhou Academy of Agricultural Sciences Binzhou 256600China

A high-efficiency mode of high-low seedbed cultivation(HLSC)has been listed as the main agricultural technology to increase land utilization ratio and grain yield in Shandong Province,***,limited information is available on the optimized water and nitrogen management for yield formation,especially the grain-filling process,under HLSC mode.A three-year field experiment with four nitrogen rates and three irrigation rates of HLSC was conducted to reveal the response of grain-filling parameters,grain weight percentage of spike weight(GPS),spike moisture content(SMC),and winter wheat yield to water and nitrogen *** four nitrogen rates were N1(360 kg ha^(-1) pure N),N2(300 kg ha^(-1) pure N),N3(240 kg ha^(-1) pure N),and N4(180 kg ha^(-1) pure N),respectively,and the three irrigation quotas were W1(120 mm),W2(90 mm),and W3(60 mm),*** showed that the determinate growth function generally performed well in simulating the temporal dynamics of grain weight(0.989yield,as well as for spike number and grain number per *** principal component analysis indicated that combining 240-300 kg N ha^(-

关键词： high-low seedbed cultivation water and nitrogen grain filling determinate growth equation wheat yield