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Determination and Quantification of Proximate and Mineral Composition for 20 Improved Sorghum Varieties Grown in Machache, Lesotho

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Food and nutrition Sciences 2024年第8期15卷 744-758页

作者： Malefane Ts’ephe Puleng Letuma Karabelo Khomongata Fisseha Itanna Mamoipone Sebitia Monica Lephole Pitso Masupha Department of crop Science Faculty of Agriculture National University of Lesotho Maseru Lesotho Department of soil Science and Natural Resource management Faculty of Agriculture National University of Lesotho Maseru Lesotho School of Interdisciplinary Research and Graduate Studies (SIRGS) University of South Africa (UNISA) Pretoria South Africa Department of Agricultural Research (DAR) Ministry of Agriculture Food Security and Nutrition Maseru Lesotho

Twenty varieties of improved sorghum were grown in Machache at the Department of Agricultural Research station, located (29˚22'60"S and 27˚52'0"E) in the central foothills of Lesotho in Maseru district. The varieties were planted in a randomized complete block design. At maturity, they were harvested, dried, threshed, milled and analyzed in the crop science laboratory at the National University of Lesotho. The proximate and mineral contents were analyzed from samples in a completely randomized design with three replicates. The proximate composition parameters measured were crude proteins, crude fiber, crude fat, moisture content, and carbohydrates. The minerals analyzed were, phosphorus, sodium, calcium, magnesium, potassium, copper, zinc, iron, and magnesium. The results showed the nutritional contents ranging from (4.7% - 16.16%), (0.35% - 2.10%), (1.25% - 4.00%), (71.60% - 84.06%), (5.53% - 10.18%), for protein, fat, fiber and carbohydrate, and moisture content, respectively. Mineral content ranged from (1342.96 - 3500.34 mg/kg), (25.97 - 185.25 mg/kg), (50.71 - 511.71 mg/kg), (29.35 - 4542.13 mg/kg), (577.19 - 3041.52 mg/kg), (0.25 - 4.07 mg/kg), (1.96 - 18.61 mg/kg), (67.14 - 122.96 mg/kg), (4.73 - 11.39 mg/kg) for phosphorus, sodium, calcium, magnesium, potassium, copper, zinc, iron, and manganese respectively. The following varieties were found to have the highest and appreciable amounts of nutrients and minerals that are crucial in the country diet;protein content was KARI Mtama 1, zinc, IESX 16 2533-SB-SSI-19, and iron IESX 16 2535-SB-SSI-34.

关键词： Varieties Sorghum Proximate Mineral

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Biodegradability of soil water soluble organic carbon extracted from seven different soils

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Journal of Environmental Sciences 2009年第5期21卷 641-646页

作者： SCAGLIA Barbara ADANI Fabrizio Department of crop Science Section of Soil Chemistry University of Milano

water soluble organic carbon （WSOC） is considered the most mobile and reactive soil carbon source and its characterization is an important issue for soil ecology study. A biodegradability test was set up to study WSOC extracted from 7 soils differently managed. WSOC was extracted from soil with water （soil/water ratio of 1：2, W/V） for 30 min, and then tested for biodegradability by a liquid state respirometric test. Result obtained confirmed the finding that WSOC biodegradability depended on the both land use and management practice. These results suggested the biodegradability test as suitable method to characterize WSOC, and provided useful information to soil fertility.

关键词： biodegradability test cumulated oxygen uptake water extractable organic carbon water soluble organic carbon

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Corchorus olitorius: A Promising Medicinal Plant in Southern Africa and Effects of Growing Conditions on Its Bioactive Compounds—A Review

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Journal of Biosciences and Medicines 2024年第6期12卷 255-274页

作者： Senewa Bobby Pholoma Gulelat Haki Goitseone Malambane Seoleseng Tshwenyane Joseph Adjetey crop and soil Sciences Department Botswana University of Agriculture and Natural Resources Gaborone Botswana Food Science and Technology Department Botswana University of Agriculture and Natural Resources Gaborone Botswana

Corchorus olitorius (Jew’s mallow), is one of the African indigenous leafy vegetables increasingly getting attention as a possible contributor of both micronutrients and bioactive compounds including proteins, lipids, fiber and vitamin C to human nutrition. Leaves of Corchorus olitorius have been found to have high level of phytochemicals: flavonoids, polyphenols, tannins, and saponins that possess strong radical scavenging activity and antioxidant power. In the arid and semi-arid areas of the world, drought is the main limiting factor affecting plant productivity and influences almost all aspects of plant biology. water stress deficit is known to cause oxidative stress condition that has generally been reported to elevate phenolic antioxidants in various crops including Jew’s mallow. On the other hand, fertilization is crucial for crop management and high yield, it also affects nutritional value of the food plants. Nitrogen (N) fertilization affects health and nutritional value, including mineral content, fatty acid profile, anti-oxidative capacity and polyphenol levels and composition. The possible effects of fertilization should be considered when deciding on fertilization regime, to optimize both plant physiology, productivity and food-related effects. Nitrogen is an important element for Jew’s mallow production since it responds well to it. However, appropriate amounts of nutrients need to be provided to crops at the right time to favor both crop growth, yield and quality. Different reports confirmed that addition or increase of N, negatively affects the total phenolics and total flavonoids, and reduces accumulation of defense-related secondary metabolites resulting in lower oxidative capacity. Increased secondary metabolite production during water deficit and low nitrogen in the soil has been reported as a stress mechanism by most plants. However, further research is required to explore the biochemical response of Jew’s mallow to water deficit and nitrogen fer

关键词： Jew’s Mallow Nitrogen Antioxidants Drought Minerals

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The off-site implications of deforestation on sedimentation rates and pollution in Abkenar open water (Anzali Lagoon, Caspian Sea) using radionuclide techniques and sediment quality indices

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International Journal of Sediment Research 2022年第3期37卷 370-382页

作者： Mohammadreza Gharibreza Mohammad Zaman Mahmood Arabkhedri Shahriar Sobh-Zahedi soil Conservation and watershed management Research Institute Agricultural Research Education and Extension Organization (AREEO) soil and water management & crop nutrition section Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture International Atomic Energy AgencyVienna International Centre Guilan Agricultural and Natural Resources Research and Education Center AREEO

Abkenar open water(AOW) has a 35 km~2 distribution and is the largest part of the Anzali Lagoon in the southern coastal zone of the Caspian Sea. The effects of deforestation in the upstream basin of the AOW were assessed by measuring the rate of sedimentation, sediment contamination, and ecological risk for aquatic life and end-users using radioisotopes Cesium-137 and Lead-210. The chronology of the AOW sediment column was studied using the Constant Rate of Supply model. Correlations between environmental changes and the sedimentary regime of the study area highlight the contribution of the AOW authorized international and local wood harvesting companies pre-and-post 1950 in the catchment in terms of the rate of sediment supply and the influx of toxic metals. Historical evidence shows that two specific layers formed during World Wars I and II with the mean rates of 0.185 ± 0.04(±STD) and 0.32 ± 0.02 kg/(m·y), respectively. The highest influx of alkali elements and toxic metals(nickel, cadmium, lead, zinc, and copper) into the basin occurred in 1945. Two layers of gray mud(16-50 cm) and organic-rich dark loss mud(0-16 cm) correlated well with the programmed wood harvesting *** layers accumulated from 1953 to 2000 with a mean rate of 0.6 ± 0.2 and 2 ± 0.7 kg/(m~2·y). Thus,aquatic life and end-users have been exposed to moderate to extremely high levels of toxic metals and a moderate level of contamination since the 1950 s.

关键词： Abkenar open water Accumulation rate Anzali Lagoon Sediment contamination CRS model Radioisotopes

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An optimized strategy of nitrogen-split application based on the leaf positional differences in chlorophyll meter readings

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Journal of Integrative Agriculture 2024年第8期23卷 2605-2617页

作者： Gaozhao Wu Xingyu Chen Yuguang Zang Ying Ye Xiaoqing Qian Weiyang Zhang Hao Zhang Lijun Liu Zujian Zhang Zhiqin Wang Junfei Gu Jianchang Yang Jiangsu Key Laboratory of crop Genetics and Physiology/Jiangsu Key Laboratory of crop Cultivation and Physiology/Agricultural College Yangzhou UniversityYangzhou 225009China Jiangsu Co-Innovation Center for Modern Production Technology of Grain crops Yangzhou UniversityYangzhou 225009China Key Laboratory of Arable Land Quality Monitoring and Evaluation Ministry of Agriculture and Rural AffairsYangzhou UniversityYangzhou 225127China

Modern rice production faces the dual challenges of increasing grain yields while reducing inputs of chemical ***,the disequilibrium between the nitrogen(N)supplement from the soil and the demand for N of plants is a serious obstacle to achieving these ***-based diagnosis can help farmers make better choices regarding the timing and amount of topdressing N *** objective was to evaluate a non-destructive assessment of rice N demands based on the relative SPAD value(RSPAD)due to leaf positional *** this study,two field experiments were conducted,including a field experiment of different N rates(Exp.I)and an experiment to evaluate the new strategy of nitrogen-split application based on RSPAD(***).The results showed that higher N inputs significantly increased grain yield in modern high yielding super rice,but at the expense of lower nitrogen use efficiency(NUE).The N nutrition index(NNI)can adequately differentiate situations of excessive,optimal,and insufficient N nutrition in rice,and the optimal N rate for modern high yielding rice is higher than conventional *** RSPAD is calculated as the SPAD value of the top fully expanded leaf *** value of the third leaf,which takes into account the non-uniform N distribution within a *** RSPAD can be used as an indicator for higher yield and NUE,and guide better management of N fertilizer ***,we developed a new strategy of nitrogen-split application based on RSPAD,in which the N rate was reduced by 18.7%,yield was increased by 1.7%,and the agronomic N use efficiency was increased by 27.8%,when compared with standard farmers'*** strategy of N fertilization shows great potential for ensuring high yielding and improving NUE at lower N inputs.

关键词： canopy crop management practices nitrogen nitrogen nutrition index rice SPAD

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Development of a novel critical nitrogen concentration-cumulative transpiration curve for optimizing nitrogen management under varying irrigation conditions in winter wheat

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The crop Journal 2024年第4期12卷 1242-1251页

作者： Tianyang Ye Yu Zhang Jingyan Xuan Xintian Wang Yang Li Junhao Xu Liujun Xiao Leilei Liu Liang Tang Weixing Cao Bing Liu Yan Zhu National Engineering and Technology Center for Information Agriculture Engineering Research Center of Smart AgricultureMinistry of EducationKey Laboratory for Crop System Analysis and Decision MakingMinistry of AgricultureJiangsu Key Laboratory for Information AgricultureJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjing 210095JiangsuChina Institute of Remote Sensing and Digital Agriculture Sichuan Academy of Agricultural SciencesChengdu 610066SichuanChina

Accurate nitrogen(N)nutrition diagnosis is essential for improving N use efficiency in crop *** widely used critical N(Nc)dilution curve traditionally depends solely on agronomic variables,neglecting crop water *** three-year field experiments with winter wheat,encompassing two irrigation levels(rainfed and irrigation at jointing and anthesis)and three N levels(0,180,and 270 kg ha1),this study aims to establish a novel approach for determining the Nc dilution curve based on crop cumulative transpiration(T),providing a comprehensive analysis of the interaction between N and water *** Nc curves derived from both crop dry matter(DM)and T demonstrated N concentration dilution under different conditions with different *** equation Nc=6.43T0.24 established a consistent relationship across varying irrigation *** test results indicated that the nitrogen nutrition index(NNI),calculated from this curve,effectively identifies and quantifies the two sources of N deficiency:insufficient N supply in the soil and insufficient soil water concentration leading to decreased N availability for root ***,the NNI calculated from the Nc-DM and Nc-T curves exhibited a strong negative correlation with accumulated N deficit(Nand)and a positive correlation with relative grain yield(RGY).The NNI derived from the Nc-T curve outperformed the NNI derived from the Nc-DM curve concerning its relationship with Nand and RGY,as indicated by larger R2 values and smaller *** novel Nc curve based on T serves as an effective diagnostic tool for assessing winter wheat N status,predicting grain yield,and optimizing N fertilizer management across varying irrigation *** findings would provide new insights and methods to improve the simulations of water-N interaction relationship in crop growth models.

关键词： crop dry matter crop cumulative transpiration Bayesian statistical model Critical nitrogen dilution curve Nitrogen nutrition index

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Spatial Distribution of soil Organic Matter Using Geostatistics: A Key Indicator to Assess soil Degradation Status in Central Italy

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Pedosphere 2012年第2期22卷 230-242页

作者： A.MARCHETTI C.PICCINI R.FRANCAVIGLIA L.MABIT Research Centre for the soil-Plant System CRA-RPS Via della Navicella 2-4 00184 Rome (Italy) soil and water management & crop nutrition Laboratory FAO/IAEA Agriculture & Biotechnology Laboratory IAEA Laboratories Seibersdorf PO Box 100 Wagramerstrasse 5 A-1400 Vienna (Austria)

soil organic matter (SOM) content is one of the main factors to be considered in the evaluation of soil health and fertility. As timing, human and monetary resources often limit the amount of available data, geostatistical techniques provide a valid scientific approach to cope with spatial variability, to interpolate existing data and to predict values at unsampled locations for accurate SOM status survey. Using geostatistical and geographic information system (GIS) approaches, the spatial variability of some physical and chemical soil parameters was investigated under Mediterranean climatic condition in the Abruzzo region of central Italy, where soil erosion processes accelerated by human induced factors are the main causes of soil degradation associated with low SOM content. Experimental semivariograms were established to determine the spatial dependence of the soil variables under investigation. The results of 250 soil sampling point data were interpolated by means of ordinary kriging coupled with a GIS to produce contour maps distribution of soil texture, SOM content related to texture, and C/N ratio. The resulting spatial interpolation of the dataset highlighted a low content of SOM in relation with soil texture in most of the surveyed area (87%) and an optimal C/N ratio for only half of the investigated surface area. Spatial location of degraded area and the assessment of its magnitude can provide decision makers with an accurate support to design appropriate soil conservation strategies and then facilitate a regional planning of agri-environmental measures in the framework of the European Common Agricultural Policy.

关键词： C/N ratio ordinary kriging soil organic carbon soil quality spatial variability

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Optimized NPK fertilizer recommendations based on topsoil available nutrient criteria for wheat in drylands of China

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Journal of Integrative Agriculture 2024年第7期23卷 2421-2433页

作者： Wenjie Yang Jie Yu Yanhang Li Bingli Jia Longgang Jiang Aijing Yuan Yue Ma Ming Huang Hanbing Cao Jinshan Liu Weihong Qiu Zhaohui Wang Key Laboratory of Plant nutrition and Agri-environment in Northwest China Ministry of Agriculture and Rural Affairs/College of Natural Resources and EnvironmentNorthwest A&F UniversityYangling 712100China

The optimized management of crop fertilization is very important for improving crop yield and reducing the consumption of chemical *** nutrient values can be used for evaluating the nutritional status of a crop,and they reflect the nutrient concentrations above which the plant is sufficiently supplied for achieving the maximum potential *** on on-farm surveys of 504 farmers and 60 field experimental sites in the drylands of China,we proposed a recommended fertilization method to determine nitrogen(N),phosphorus(P),and potassium(K)fertilizer input rates for wheat production,and then validated the method by a field experiment at 66 different sites in northern *** results showed that wheat grain yield varied from 1.1 to 9.2 t ha^(-1),averaging 4.6 t ha^(-1),and it had a quadratic relationship with the topsoil(0-20 cm)nitrate N and soil available P contents at ***,yield was not correlated with the inputs of N,P,and K *** on the relationship(exponential decay model)between 95–105%of the relative yield and topsoil nitrate N,available P,and available K contents at wheat harvest from 60 field experiments,the topsoil critical nutrient values were determined as 34.6,15.6,and 150 mg kg^(-1)for soil nitrate N,available P,and available K,***,based on five groups of relative yield(>125%,115–125%,105–115%,95–105%,andsoil critical nutrient levels and fertilization coefficients(Fc)were ***,we proposed a new method for calculating the recommended fertilizer input rate as:Fr=Gy×Nr×Fc,where Fr is the recommended fertilizer(N/P/K)input rate;Gy is the potential grain yield;Nr is the N(N_(rN)),P(N_(rP)),and K(N_(rK))nutrient requirements for wheat to produce 1,000 kg of grain;and Fc is a coefficient for N(N_c)/P(P_c)/K(K_c)fertilizer.A 2-year validated experiment confirmed that the new method reduced N fertilizer input by 17.5%(38.5 kg N ha^(-1))and P fertilizer i

关键词： fertilization method dryland wheat soil nutrient critical value soil nitrogen topsoil nutrients

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Prediction of exchangeable potassium in soil through mid-infrared spectroscopy and deep learning:From prediction to explainability

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Artificial Intelligence in Agriculture 2022年第1期6卷 230-241页

作者： Franck Albinet Yi Peng Tetsuya Eguchi Erik Smolders Gerd Dercon Independent Researcher&Consultant GuétharyFrance soil and water management&crop nutrition Laboratory Joint FAO/IAEA Centre of Nuclear Techniques in Food and AgricultureSeibersdorfAustria Global soil Partnership Food and Agriculture Organization of the United NationsViale delle Terme di Caracalla00153 RomeItaly Agricultural Radiation Research Center Tohoku Agricultural Research CenterNational Agriculture and Food Research OrganizationFukushimaJapan soil and water management Unit KU LeuvenBelgium

The ability to characterize rapidly and repeatedly exchangeable potassium(Kex)content in the soil is essential for optimizing remediation of radiocaesium contamination in *** this paper,we show how this can be now achieved using a Convolutional Neural Network(CNN)model trained on a large Mid-Infrared(MIR)soil spectral library(40,000 samples with Kex determined with 1 M NH4OAc,pH 7),compiled by the National soil Survey Center of the United States Department of *** Partial Least Squares Regression as a base-line,we found that our implemented CNN leads to a significantly higher prediction performance of Kex when a large amount of data is available(10000),increasing the coefficient of determination from 0.64 to 0.79,and reducing the Mean Absolute Percentage Error from 135%to 31%.Furthermore,in order to provide end-users with required interpretive keys,we implemented the GradientShap algorithm to identify the spectral regions considered important by the model for predicting *** in the context of the implemented CNN on various soil Taxonomy Orders,it allowed(i)to relate the important spectral features to domain knowledge and(ii)to demonstrate that including all soil Taxonomy Orders in CNN-based modeling is beneficial as spectral features learned can be reused across different,sometimes underrepresented orders.

关键词： High-throughput soil characterization Machine learning Convolutional neural network Agriculture Nuclear emergency response Remediation Interpretability

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Use of geochemical fingerprints to trace sediment sources in an agricultural catchment of Argentina

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International soil and water Conservation Research 2020年第4期8卷 410-417页

作者： Romina Torres Astorga Yanina Garcias Gisela Borgatello Hugo Velasco Román Padilla Gerd Dercon Lionel Mabit IMASL UNSLCONICET.Ejde los Andes 950San LuisArgentina Nuclear Science and Instrumentation Laboratory Division of Physical and Chemical SciencesIAEASeibersdorfAustria soil and water management&crop nutrition Laboratory Joint FAO/IAEA Division of Nuclear Techniques in Food and AgricultureSeibersdorfAustria

soil erosion and associated sediment redistribution are key environmental problems in Central *** land uses and management practices,such as intensive grazing and crop cultivation,are considered to be significantly driving and accelerating these *** research focuses on the identification of suitable soil tracers from hot spots of land degradation and sediment fate in an agricultural catchment of central Argentina with erodible loess *** Energy Dispersive X-Ray Fluorescence(EDXRF),elemental concentrations were determined and later used as soil tracers for geochemical *** best set of tracers were identified using two artificial mixtures composed of known proportions of soil sources collected from different lands having contrasting soil ***,calcium,iron,phosphorus,and titanium were identified for obtaining the best suitable reconstruction of source proportions in the laboratory-prepared artificial ***,these elements,as well as the total organic carbon,were applied for pinpointing critical hot spots of erosion within the studied *** were identified to be the main source of sediments,river banks and dirt roads together are the second most important *** investigation provides key information for optimizing soil conservation strategies and selecting land management practices and land uses which do not generate great contribution of sediment,preventing pollution of the waterways of the region.

关键词： Fingerprinting Geochemical elements Energy dispersive X-ray fluorescence soil erosion Mixing models

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