Relevant bibliographies by topics / Agronomic measurements

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Agronomic measurements'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Agronomic measurements"

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Schmitz, Peder K., and Hans J. Kandel. "Using Canopy Measurements to Predict Soybean Seed Yield." Remote Sensing 13, no. 16 (August 18, 2021): 3260. http://dx.doi.org/10.3390/rs13163260.

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Predicting soybean [Glycine max (L.) Merr.] seed yield is of interest for crop producers to make important agronomic and economic decisions. Evaluating the soybean canopy across a range of common agronomic practices, using canopy measurements, provides a large inference for soybean producers. The individual and synergistic relationships between fractional green canopy cover (FGCC), photosynthetically active radiation (PAR) interception, and a normalized difference vegetative index (NDVI) measurements taken throughout the growing season to predict soybean seed yield in North Dakota, USA, were investigated in 12 environments. Canopy measurements were evaluated across early and late planting dates, 407,000 and 457,000 seeds ha−1 seeding rates, 0.5 and 0.8 relative maturities, and 30.5 and 61 cm row spacings. The single best yield predictor was an NDVI measurement at R5 (beginning of seed development) with a coefficient of determination of 0.65 followed by an FGCC measurement at R5 (R2 = 0.52). Stepwise and Lasso multiple regression methods were used to select the best prediction models using the canopy measurements explaining 69% and 67% of the variation in yield, respectively. Including plant density, which can be easily measured by a producer, with an individual canopy measurement did not improve the explanation in yield. Using FGCC to estimate yield across the growing season explained a range of 49% to 56% of yield variation, and a single FGCC measurement at R5 (R2 = 0.52) being the most efficient and practical method for a soybean producer to estimate yield.
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Mohammadi, Mohammadreza, John Finnan, Mark Sterling, and Chris Baker. "A calibrated oat lodging model compared with agronomic measurements." Field Crops Research 255 (September 2020): 107784. http://dx.doi.org/10.1016/j.fcr.2020.107784.

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Enciso, Juan, Carlos A. Avila, Jinha Jung, Sheren Elsayed-Farag, Anjin Chang, Junho Yeom, Juan Landivar, Murilo Maeda, and Jose C. Chavez. "Validation of agronomic UAV and field measurements for tomato varieties." Computers and Electronics in Agriculture 158 (March 2019): 278–83. http://dx.doi.org/10.1016/j.compag.2019.02.011.

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HOCKETT, E. A. "RELATIONSHIP OF ADVENTITIOUS ROOTS AND AGRONOMIC CHARACTERISTICS IN BARLEY." Canadian Journal of Plant Science 66, no. 2 (April 1, 1986): 257–80. http://dx.doi.org/10.4141/cjps86-040.

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The number of adventitious roots of two- and six-row barleys (Hordeum vulgare L.) grown under irrigation at Bozeman, Montana in 1970 and 1971, was related to yield and other agronomic characteristics. Adventitious roots were counted shortly before heading and at maturity and correlated with 15 agronomic characteristics. Adventitious root number was not correlated with yield of barley, except for two out of six cases in two-row barley. Roots per tiller, per plant and per square metre were all positively correlated with each other. The number of kernels per spike increased as roots per tiller increased but decreased with a high number of tillers per plant. Kernel plumpness and numbers of tillers were negatively correlated in two-row barley, but not in six-row barley. Cultivars differed significantly in yield and adventitious root number. Six-row barley had more roots per tiller but fewer tillers per square metre than two-row barley. Roots per tiller and roots per square metre measurements had the best repeatability between years for six-row barley, but no root measurements were consistent over years for the two-row type. Tillers per plant measurements for both two-row and six-row barleys and tillers per square metre for just two-row barley were consistent over years. Tiller and root number interact and are usually positively related. The genetic variation for root number shown here could be used in crosses for selection of superior genotypes.Key words: Barley, Hordeum vulgare, adventitious roots, subcrown internode, yield components, seeding rate
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Duru, Michel, Pablo Cruz, and Jean Pierre Theau. "A simplified method for characterising agronomic services provided by species-rich grasslands." Crop and Pasture Science 61, no. 5 (2010): 420. http://dx.doi.org/10.1071/cp09296.

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In order to encourage farmers and their advisors to promote species-rich grasslands, the agronomic services they can provide should be demonstrated. Methods based on functional ecology are promising, but difficult to use in an applied context. Thus, we aimed to construct a simplified method, tailored for non-researchers, for assessing grassland agronomic services. We assess them by focusing on the grass species that was coupled to a leaf dry matter content (LDMC) database. These simplifications are supported by several hypotheses tested in our paper: (i) trade-offs between agronomic properties; (ii) mass ratio hypothesis; and (iii) functional convergence and divergence between grass and dicotyledonous species. The results were based on 37 vegetation records taken in the south of France (central Pyrenees, from 650 to 1250 m. a.s.l.) for calculating the proportion of grass species and the aggregated LDMC of grass species (LDMCgw), weighting species values by their abundance. LDMC of grass species was taken from field measurements and from a database. The two methods were compared. The latter avoids tedious field measurements, and we found that it was at least as good as the former for assessing agronomic productivity and quality, and the same was true for a LDMC diversity index. Reducing the list of grass species to the two dominant ones did not significantly alter the LDMCgw. There were significant differences between the grass and dicotyledonous components coexisting within a plant community for the digestibility of the plant components (higher for dicots) and in the date at which ceiling yield occurred (earlier for dicots), but no significant effect for productivity. For assessing agronomic services, we proposed corrections based on the grass : dicotyledon ratio. The hypotheses used for designing the method were verified. Finally, agronomic services such as herbage productivity and quality provided by species-rich grasslands can be evaluated by recording dominant grass species and the proportion of grass in the herbage. However, taking account of the difference in sensitivity to the environment for agronomic properties and plant species composition, the main use of the method is for ranking plant communities within a given area and a given year, rather than for providing absolute values of these agronomic properties.
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Edenborn, S. L., A. J. Sexstone, Y. Sutanto, and J. A. Chapman. "Relationships among Contrasting Measurements of Microbial Dynamics in Pasture and Organic Farm Soils." Applied and Environmental Soil Science 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/537459.

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Soil bacteria exhibit short-term variations in community structure, providing an indication of anthropogenic disturbances. In this study, microbial biomass carbon (MBC), potentially mineralizable nitrogen (PMN), community level physiological profiling (CLPP), and culture-dependent DGGE (CD DGGE) fingerprinting of the 16S rRNA gene were used to compare microbial communities in organic farm and pasture soils subjected to differing agronomic treatments. Correlation analyses revealed significant relationships between MBC, PMN, and data derived from microbial community analyses. All measures separated soil types but varied in their ability to distinguish among treatments within a soil type. Overall, MBC, PMN, and CLPP were most responsive to compost and manure amendments, while CD DGGE resolved differences in legume cropping and inorganic fertilization. The results support the hypothesis that culturable soil bacteria are a responsive fraction of the total microbial community, sensitive to agronomic perturbations and amenable to further studies aimed at linking community structure with soil functions.
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Barmeier, Gero, Bodo Mistele, and Urs Schmidhalter. "Referencing laser and ultrasonic height measurements of barleycultivars by using a herbometre as standard." Crop and Pasture Science 67, no. 12 (2016): 1215. http://dx.doi.org/10.1071/cp16238.

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Assessment of plant height is an important factor for agronomic and breeder decisions; however, current field phenotyping, such as visual scoring or using a ruler, is time consuming, labour intensive, costly and subjective. For agronomists and plant breeders, the most common method used to measure plant height is still a meter stick. In a 3-year study, we have adopted a herbometre similar to a rising plate meter as a reference method to obtain the weighted plant height of barley cultivars and to evaluate vehicle-based ultrasonic and laser distance sensors. Sets of 30 spring barley cultivars and 14 and 60 winter barley cultivars were tested in 2013, 2014 and 2015, respectively. The herbometre was well suited as a reference method allowing for an increased area and was easy to handle. The herbometre measurements within a plot showed very low coefficients of variation. Good and close relationships (R2 = 0.59, 0.76, 0.80) between the herbometre and the ultrasonic distance sensor measurements were observed in the years 2013, 2014 and 2015, respectively, demonstrating also increased values of heritability. Hence, both sensors were able to differentiate among barley cultivars in standard breeding trials. For the sensors, we observed a 4-fold faster operating time and 6-fold increase of measurement points compared with the herbometre measurement. Based on these results, we conclude that distance sensors represent a powerful and economical high-throughput phenotyping tool for breeders and plant scientists to estimate plant height and to differentiate cultivars for agronomic decisions and breeding activities potentially being also applicable in other small grain cereals with dense crop stands. Particularly, ultrasonic distance sensors may reflect an agronomically and physiologically relevant plant height information.
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GARNSWORTHY, P. C., J. WISEMAN, and K. FEGEROS. "Prediction of chemical, nutritive and agronomic characteristics of wheat by near infrared spectroscopy." Journal of Agricultural Science 135, no. 4 (December 2000): 409–17. http://dx.doi.org/10.1017/s0021859699008382.

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Near infrared spectroscopy (NIRS) is widely used in the flour milling industry for rapid determination of moisture and protein in wheat. However, these measurements give little indication of the nutritive value of wheat when fed to poultry or pigs. Accurate estimates of nutritive value require specialist facilities and are time-consuming and costly. Accordingly, prediction from chemical or NIRS measurements would be of some considerable benefit. In the current study 160 samples of wheat, representing 24 different varieties, were used to generate NIRS calibration equations for chemical, nutritive and agronomic characteristics. Predictions of chemical constituents in wheat were very accurate. Coefficients of determination (r2) were 0·94 for dry matter, 0·90 for crude protein, 0·97 for ash, 0·78 for starch and 0·98 for oil. True metabolizable energy in broiler chickens was predicted more accurately (r2 = 0·52 for adult birds, 0·74 for young birds) than apparent metabolizable energy (r2 = 0·45). Digestible energy (r2 = 0·17) and nitrogen digestibility (r = 0·22) in pigs were not predicted very accurately on a smaller subset (n = 33). Agronomic characteristics were predicted very accurately (r2 = 0·98 hardness, 0·80 bushel weight, 0·99 thousand-grain weight). Predictions of nutritive value of wheat from chemical or agronomic characteristics are very inaccurate, since coefficients of determination vary from zero to 0·25. It is concluded that NIRS can accurately estimate the chemical composition of wheat, but accurate prediction of nutritive value is reduced by animal variation. Nevertheless, NIRS is potentially more reliable for assessing nutritive value than chemical composition or agronomic characteristics.
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Vitharana, U. W. A., M. Van Meirvenne, D. Simpson, L. Cockx, and G. Hofman. "Agronomic consequences of potential management zones delineated on the basis of EM38DD measurements." Near Surface Geophysics 6, no. 5 (August 1, 2007): 289–96. http://dx.doi.org/10.3997/1873-0604.2008003.

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Sojka, R. E., G. A. Lehrsch, S. J. Kostka, J. L. Reed, A. C. Koehn, J. A. Foerster, Arlean Rohde, Craig A. Martin, Gerald E. Otis, and S. W. Dean. "Soil Water Measurements Relevant to Agronomic and Environmental Functions of Chemically Treated Soil." Journal of ASTM International 6, no. 1 (2009): 101497. http://dx.doi.org/10.1520/jai101497.

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Dissertations / Theses on the topic "Agronomic measurements"

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Roth, Guy W., and n/a. "Agronomic measurements to validate airborne video imagery for irrigated cotton management." University of Canberra. Resource and Environmental Sciences, 1993. http://erl.canberra.edu.au./public/adt-AUC20050801.124927.

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Water is a major factor limiting cotton production and farmers must aim to optimise crop water use through timely irrigation scheduling decisions. Airborne video imagery when calibrated with a low density of ground based observations, offers the potential for near real time monitoring of crop condition, through sequential coverages of entire cotton fields. Using commercially available video equipment mounted on a light aircraft images were acquired of field experiments that were established in commercial cotton fields to test if the imagery could monitor changes in crop condition. Ground data collected from these experiments were used to evaluate green, red, near infrared and thermal band imagery for irrigated crop management. Prior to acquiring imagery, a ground radiometer study was conducted to investigate if canopy reflectance changed with the onset of crop water stress. Canopy reflectance decreased in the near infrared and green bands during the five day period prior to the crop's normal irrigation date. Red reflectance increased only after the crop irrigation was due, when the crop was suffering from water stress. The greatest change in canopy reflectance was in the near infrared region, attributable in part to a decrease in ground cover caused by canopy architectural changes including leaf wilting. The results of this experiment were used to select spectral filters for the video cameras. A range of crop conditions were identified in the imagery including; crop waterlogging, wheeltrack soil compaction, crop nitrogen status, different varieties, crop maturity, canopy development, soil moisture status, cotton yield and nutgrass weeds. Thermal imagery was the most successful for distinguishing differences in the crop soil moisture status. Near infrared imagery was most closely related to crop canopy development and is recommended for monitoring crop growth. Linear relationships were found between spectral responses in the imagery, crop reflectance (%) and crop temperature measured on the ground. Near infrared reflectance linearly increased, while spectral responses in the green, red and thermal bands exhibited an inverse relationship with plant height and ground cover. Imagery collected early in the season was affected by the soil background. Final lint yield was related to imagery in the red band. As the soil moisture level declined, crop temperature increased while reflectance in the green band decreased. To ensure an accurate relationship between soil moisture and thermal imagery, separate calibration equations are recommended for different stages in the season. Green, red and near infrared imagery were affected by the sun angle that caused one side of the imagery to appear brighter than the other. This problem was greatest in the green and red bands, but was not evident in the thermal imagery. Changes in solar radiation and air temperature on some occasions caused greater variation to the imagery between flights, than changes in crop condition per se. Therefore, it is not aIways possible to directly determine the soil moisture status from canopy temperature. Further research is required to correct imagery for environmental variables such as solar radiation, air temperature and vapour pressure deficit. Thermal imagery offers many improvements to current irrigation scheduling techniques including the facilitation of locating more representative ground sampling points. Thermal imagery also enables cotton fields on a farm to be ranked according to their soil moisture status. This then provides farmers with a visual picture of the crop water status across the whole farm, which is not possible using conventional ground scheduling techniques. At this stage, airborne video imagery will not replace soil moisture data collected for irrigation scheduling, however offers potential to enhance irrigation scheduling methods by addressing the problem of crop variability within cotton fields.
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Arif, Mobeen. "Measurement of horticulture produce quality." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273953.

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Aldakheel, Yousef Yacoub. "Remote sensing of crop water stress : measurements and modelling." Thesis, University of Salford, 1998. http://usir.salford.ac.uk/43021/.

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Parker, Steven Roy. "Studies on some factors influencing the reliability of disease measurements in winter wheat crops." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336955.

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Siqueira, Rafael Telles Tenorio de. "Characterizing nitrogen deficiency of maize at early growth stages using fluorescence measurements." Thesis, Colorado State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10138898.

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Among all nutrients that are important for crop production, nitrogen (N) is one of the least efficiently utilized, mainly due to its high mobility in soil. The possibility of using crop sensing in real-time to detect variability in N deficiency within a field has the potential to enhance N efficiency, increase crop yield, and reduce potential environmental risks and crop production costs. Potassium (K), another important crop nutrient, can also lead to higher yield when applied in the right amount and manner. Real-time fluoro-sensing is a new technology for crop sensing and studies have shown that it could enable variable rate nutrient management for precision agriculture practices. The objective of this study was (1) to evaluate if fluorescence sensing can detect variability of N and K in crop canopy at early growth stages of maize (prior to V6 crop growth stage) under controlled condition (greenhouse), (2) to evaluate the effect of different fertilization dosages of N over the plant growth, and (3) to verify if induced fluorescence can detect in situ N variability at early growth stages of maize. Research was conducted in two stages, first in a greenhouse condition and later in field spread over three site-years. The greenhouse research was conduct in year 2011 and plants were grown in plant-pots with silica sand and supplied with modified Hoagland solution with different rates of N and K. Field trials were conducted in year 2012 and 2013 in northern Colorado. For the greenhouse study, data collected via fluorescence sensor (Multiplex®3) were analyzed using ANOVA and Tukey’s HSD to test significant differences among treatments in each experiment. For the N experiment, regression analysis between the seven fluorescence indices and N uptake was performed for the 12 days of data acquisition at five different growth stages (i.e. 2-leaf to 6-leaf growth stages) and coefficient of determination was used to identify the best fluorescence indices to detect N status. Also, root mean square error (RMSE) was used to test the precision of the estimates for each index. Results of this study indicated that all fluorescence indices were able to detect N variability in maize canopy prior to V2 growth stage. However, the fluorescence indices failed to identify K deficiency as the maize plants with K treatments showed small variability at early crop growth stages. For the field study, two site-years had 5 N rate treatments applied as UAN 32% (urea ammonium nitrate; 32-0-0), while one site-year had 6 N treatments applied pre-planting. Sensors used in this study were the Multiplex®3 for fluorescence sensing and the GreenSeeker® for reflectance sensing (NDVI). Sensor measurements were correlated with aboveground biomass, N content, and N uptake measured at two growth stages (V6 and V9 maize growth stage). The aboveground biomass, N content, N uptake, yield, and sensors readings were analyzed using ANOVA and Tukey’s HSD to test significant differences among the N treatments. Also, a regression tree between N uptake and the fluorescence indices was fitted along with the coefficient of determination (R2 ). The N rates had no effect on aboveground biomass, N content and N uptake (for both sampled growth stages). Under field conditions, fluorescence indices failed to detect N variability in maize at early growth stages for all three site-years. This finding may require further investigation, as for most of the N treatment plots, maize plants had sufficient N levels and another biotic or abiotic stress may be responsible for unexplained differences in N variability as measured by fluorescence sensor. Contrasting findings under greenhouse conditions versus field conditions limit the application of fluorosensing sensor. Further field studies are needed to evaluate the potential of this sensor for detecting N variability in situ.

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Waine, Toby William. "Non-invasive soil property measurement for precision farming." Thesis, Cranfield University, 1999. http://dspace.lib.cranfield.ac.uk/handle/1826/11322.

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This work investigates the application of new sensors to enable agronomists and farm managers to make decisions for variable treatment strategies at key crop growth stages. This is needed to improve the efficiency of crop production in the context of precision farming. Two non-invasive sensors were selected for investigation. These were: 1) The MGD-1 ion mobility gas detector made by Environics OY, Finland. 2) The EM38 electromagnetic induction (EMI) sensor made by Geonics Inc., Canada. The gas detector was used to determine residual nitrogen and to measure carbon dioxide gas as a surrogate indicator of soil quality. In the latter, increased microbial carbon dioxide production was expected on soils with high organic matter content. Overall, the results of gas detection were disappointing. The main problems inherent in the system were; lack of control of the gas sampling, insufficient machine resolution and cross contamination. This led to the decision to discontinue the gas detection research. Instead, the application of electromagnetic induction (EMI) to measure soil variation was investigated. There were two principle advances in the research. Firstly the application of EMI to the rapid assessment of soil textural class. Secondly the mapping of available water content in the soil profile. These were achieved through the development of a new calibration procedure based on EMI survey of the sites at field capacity, working with field experiments from five sites over two years. Maps of total available water holding capacity were produced. These were correlated with yield maps from wet and dry seasons and used to explain some of the seasonal influences on the spatial variation in yield. A product development strategy for a new EMI sensor was considered which produced a recommendation to design a new EMI sensor specifically for available water content and soil texture mapping, that could be mounted on a tractor. For the first time, this procedure enables routine monitoring of the spatial variation in available water content. This enables the effects of seasonal and spatial variation to be included in crop models, targeted irrigation and to aid decisions for the variable application of inputs.
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Steger, Adele Johnson 1952. "Timing the initial post-plant irrigation for cotton using leaf water potential measurements." Thesis, The University of Arizona, 1995. http://hdl.handle.net/10150/278489.

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A two year study was conducted to determine the optimum timing of the initial post-plant irrigation for cotton (Gossypium hirsutum L.). A short-season Upland variety, DPL 20, was planted on 19 April 1993 and 15 April 1994 at the Marana Agricultural Center. Daily midday leaf water potential measurements were taken using the pressure chamber technique. Treatments, designated T1, T2, and T3, received the initial post-plant irrigation when the midday LWP measured -1.5, -1.9, and -2.3 MPa, respectively. Soil-water data was collected at 25 cm depth increments using neutron attentuation. Yields were 1263, 1244, and 1110 kg lint/ha in 1993 and 1229, 1176, and 1095 kg lint/ha in 1994 for T1, T2, and T3, respectively. When treatments were initiated, approximately 84 (T1), 62 (T2), and 32% (T3) of the total plant-available water was present in the upper 150 cm of the soil profile.
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Baum, Kristen A. "Air emissions measurements at cattle feedlots." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/775.

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Moreno-Urquiza, Magdalena 1967. "Intelligent data acquisition system for continuous measurements of soil moisture in the field." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/278271.

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A data acquisition system to collect soil moisture readings at 60 field locations was developed. The system predicted a resistance value from a measured counts per time. An error was associated with the measured counts and time, however, this error was minimized by increasing the time for resistance measurement. The effect of temperature was minimized by an automatic calibration of the system before collecting readings. The Watermark electrical resistance moisture sensor was used to sense water content. The system, including eight sensors, was tested in the field. The data collected was difficult to explain. An evaluation of the Watermark sensors indicated a large variation from sensor to sensor, and also indicated a marked influence of soil texture on sensor resistance.
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Aldosari, Saleh 1964. "Measurement of and selection for insecticide resistance in various populations of beet armyworm Spodoptera Exigua (Hubner)." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278716.

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A comparative study was performed to investigate the tolerance levels of beet armyworm to three insecticides, cyfluthrin, profenofos, and methomyl. The field strains were collected from Yuma and Marana, AZ whereas the susceptible laboratory strain was obtained from California. Dosage-mortality data were obtained by topical application on third instar larvae. Compared to the susceptible strain, both Yuma and Marana strains exhibited an increase in the LD50 to cyfluthrin by 15.65 and 5.45-fold, respectively. Both strains also exhibited an increase in the LD50 to profenofos and methomyl by 14.10, 17.77 and 2.95, 8.07-fold, respectively. The cyfluthrin-selected strain (Marana strain) tested for cross resistance to profenofos and methomyl and exhibited an increase in LD50 by 24.68 and 3.32-fold,respectively.
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Books on the topic "Agronomic measurements"

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Current viewpoints on the use of soil nitrate tests in the South: Proceedings of a symposium conducted by the Southern Branch, American Society of Agronomy, February 4, 1992, Lexington Center Heritage Hall, Lexington, KY. Madison, Wis., USA: The Society, 1992.

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Book chapters on the topic "Agronomic measurements"

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Davidson, Donald T. "Penetrometer Measurements." In Agronomy Monographs, 472–84. Madison, WI, USA: American Society of Agronomy, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr9.1.c37.

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Hubbard, K. G., and S. E. Hollinger. "Standard Meteorological Measurements." In Agronomy Monographs, 1–30. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c1.

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Howard, Allan, Aston Chipanshi, Andrew Davidson, Raymond Desjardins, Andrii Kolotii, Nataliia Kussul, Heather McNairn, Sergii Skakun, and Andrii Shelestov. "Measurement Techniques." In Agronomy Monographs, 489–517. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc., 2018. http://dx.doi.org/10.2134/agronmonogr60.2014.0056.5.

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Harper, Lowry A. "Ammonia: Measurement Issues." In Agronomy Monographs, 345–79. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c15.

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Richards, S. J. "Soil Suction Measurements with Tensiometers." In Agronomy Monographs, 153–63. Madison, WI, USA: American Society of Agronomy, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr9.1.c9.

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Wagner-Riddle, C., G. W. Thurtell, and G. C. Edwards. "Trace Gas Concentration Measurements for Micrometeorological Flux Quantification." In Agronomy Monographs, 321–43. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c14.

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Campbell, Gaylon S., and George R. Diak. "Net and Thermal Radiation Estimation and Measurement." In Agronomy Monographs, 59–92. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c4.

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Blanchar, R. W. "Measurement of Sulfur in Soils and Plants." In Agronomy Monographs, 455–90. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr27.c17.

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Klute, A. "Laboratory Measurement of Hydraulic Conductivity of Unsaturated Soil." In Agronomy Monographs, 253–61. Madison, WI, USA: American Society of Agronomy, Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr9.1.c16.

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Rochette, Philippe, and Gordon L. Hutchinson. "Measurement of Soil Respiration in situ: Chamber Techniques." In Agronomy Monographs, 247–86. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c12.

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Conference papers on the topic "Agronomic measurements"

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S.U., Susha Lekshmi, and D. N. Singh. "Keynote Speech: Significance of Soil Moisture Content and its Measurement Techniques." In International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.keynote4.

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Soil moisture is an inevitable part of the soil and has a significant influence on the engineering, agronomic, geological, ecological, biological, and hydrological behavior of the soil mass. A small change in the soil moisture content alters the behavior or mechanical properties of the soil mass, viz., consistency, compatibility, cracking, swelling, shrinkage, and density. The soil moisture content can be considered as a multi-disciplinary parameter as it has been used as a critical parameter in civil, agricultural, and environmental engineering disciplines. In geotechnical engineering, construction of embankments, pavements, earthen dam, retaining walls, foundations, evaluation of contaminant transport within the unsaturated zone, and slope stability determination, spatial and temporal soil moisture content variation has vital importance. Furthermore, it has a significant role to play as far as plant growth, organization of the natural ecosystems, and biodiversity are concerned. In the agriculture sector, adequate and timely moisture for irrigation, depending upon the soil-moisture-plant environment, is essential for crop production.
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Reports on the topic "Agronomic measurements"

1

Sharkey, T. D. Measurements of metabolically active inorganic phosphate in plants growing in natural and agronomic settings and under water stress. [Stromal Phosphate]. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/6325903.

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