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Relevant bibliographies by topics / Growth parameters and maize

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Academic literature on the topic 'Growth parameters and maize'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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Journal articles on the topic "Growth parameters and maize"

1

Jain, M., S. Tiwary, and R. Gadre. "Sorbitol-induced changes in various growth and biochemici parameters in maize." Plant, Soil and Environment 56, No. 6 (2010): 263–67. http://dx.doi.org/10.17221/233/2009-pse.

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Treatment of maize seedlings with different concentrations of sorbitol decreased the rate of germination substantially. Root and shoot length was also reduced by sorbitol treatment, however, decrease in root length was lower than shoot length. Incubation of leaf segments from maize seedlings grown in continuous light with sorbitol decreased the fresh weight and increased the dry weight in a concentration-dependent manner. Sorbitol treatment also reduced the total chlorophylls, chlorophyll a as well as chlorophyll b; the decrease in chlorophyll 'b' being more prominent than chlorophyll 'a', however, carotenoid content was declined marginally. Supply of sorbitol decreased the protein and RNA content; however, proline content and in vivo nitrate reductase activity (NRA) were increased. The results demonstrate an inhibitory effect of sorbitol-induced stress on overall growth in maize. Amongst the biochemical parameters analysed, chlorophyll, protein and RNA contents were declined, while proline content and nitrate reductase activity were enhanced with sorbitol treatment.

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Kumar, K. N. Raja, A. Mani, G. Ravi Babu, and Ch Sujani Rao. "Influence of drip Fertigation on Maize Growth Parameters." Environment and Ecology 42, no. 2B (2024): 881–90. http://dx.doi.org/10.60151/envec/qqni3292.

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Field experiment was conducted during kharif 2018, rabi 2018-19 and kharif 2019 at Dr. NTR College of Agricultural Engineering, Bapatla, Andhra Pradesh to study the influence of drip fertigation on maize growth parameters. The experiment was laid out in split plot design consisting of three irrigation levels (0.6 ETc (I1), 0.8 ETc (I2) and 1.0 ETc (I3)) and four nitrogen levels consisting of fertigation levels (80% RDN (N1), 100% RDN (N2), 120% RDN (N3) and Manual application (N4) on sandy clay loam soil. A drip fertigation system with venturi assembly was designed and fertigation date and quantity of nitrogen in each fertigation were calculated and applied. The results shown that, in all the seasons, the plant height at all the stages of observation, drip fertigation at 120% RDN (N3) recorded tallest plant height followed by N2, N4 and N1. The lowest days for maturity was observed in I1 treatment followed by I2 and I3 during kharif 2018. During rabi 2018-19, the lowest days for maturity was observed in I1 treatment followed by I2 and I3. During kharif 2019, the lowest days for maturity was observed in I1 treatment followed by I2 and I3.

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Kishore, A. Sai, D. Sreelatha, M. Malla Reddy, M. V. Nagesh Kumar, and T. Sukruth Kumar. "Assessing of Residual Legume Effect on Growth and Yield Parameters of rabi Maize under Irrigated Conditions." International Journal of Environment and Climate Change 14, no. 1 (2024): 177–85. http://dx.doi.org/10.9734/ijecc/2024/v14i13823.

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An experiment was conducted to study the residual influence of preceding legumes and nitrogen levels on growth and yield parameters of rabi maize at Maize Research Centre, AgriculturalResearch Institute, Rajendranagar, Hyderabad, during kharif and rabi of 2021 and 2022. The experiment was laid out in split-plot design with 18 treatments consisted of C1N1: groundnut100% RDN- maize, C1N2: groundnut75% RDN- maize, C2N1: soybean100% RDN- maize, C2N2: soybean75% RDN- maize, C3N1: greengram100% : greengram100% RDN- maize, C3N2: greengram75% RDN- maize as main-plots and 3 subplots viz.100% RDN, 125% RDN, 150% RDN (kharif and rabi respectively) during twoyears of study. Among the different cropping systems, the preceding kharif greengram with 100% RDN on rabi zero-till maize showed higher growth interms i.e. plant height, leaf area, leaf chlorophyll content (SPAD reading) at 30 DAS, cob length, cob girth and yield in both years. However, with respect to nitrogen levels, application of 150% RDN to rabi maize showed significantly higher growth and yield followed by 125% RDN and lowest was seen in 100% RDN in rabi respectively. On the other hand, the interaction effect with the preceding legume residues on succeeding rabi maize with addition of varied nitrogen levels was found non-significant in 2021-22 and 2022-23.

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Sunday, Kenneth Igbang, Fidelis Bekeh Ada, and Stephen Ncha Ochang. "Influence of including maize offal in diets on growth, carcass composition and economics of Clarias gariepinus." GSC Biological and Pharmaceutical Sciences 14, no. 3 (2021): 027–35. https://doi.org/10.5281/zenodo.4656088.

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Aiming at finding cheaper and still efficient feed for aquaculture species 56 days feeding trial was conducted on African catfish (<em>Clarias gariepinus</em>) post fingerlings, fed on five diets with a 40% crude protein target in which maize was replaced with maize offal meal at 0%, 25%, 50%, 75%, and 100% respectively. Ten fish each were stocked in a plastic aquarium tank containing 20 L of water. The fish were fed at 5% body weight divided into two rations ginen at the hours of 8-8:30 am and 5-5:30pm. Growth parameters showed increase with increase in maize offal based diets, with observed weight gains of 72.42, 79.00, 95.92, 130.83 and 65.83 for diets 1, 2, 3, 4, and 5 respectively. Feed conversion ratio (recorded best in 75% maize offal based diet substitution, while the poorest was recorded at 25% maize offal diet replacement, followed by the control diet (100% maize diet). 75% maize offal replacement recorded the highest specific growth rate (p<0.05).There was significant difference (p<0.05) in the ash content, crude fiber and energy level in the fish carcass. The cost of feed used throughout the experimental period was not significantly (p>0.05) influenced by the increasing level of maize offal as a replacement for maize in the diets, as the costs were comparable. However, this study reveals that maize offal meal can successfully replaced maize up to 75% in the diet of <em>Clarias gariepinus</em> post fingerlings without adverse effect on growth, carcass composition and economics.

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Berzsenyi, Z. "Use of growth analysis to describe the N fertiliser responses of maize ( Zea mays L.) hybrids." Acta Agronomica Hungarica 58, Supplement 1 (2010): 95–101. http://dx.doi.org/10.1556/aagr.58.2010.suppl.1.14.

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Using the classical and functional methods of growth analysis, the effect of mineral N fertiliser (0, 80, 160 and 240 kg ha −1 ) on the dynamics of growth and growth parameters was studied in 2001 and 2002 in a two-factorial, long-term experiment set up in a split-plot design on three maize hybrids with different genotypes, Mv 272 (FAO 280), Mv 355 (FAO 390) and Maraton (FAO 450). The following growth parameters were calculated to characterise the effect of N fertiliser: the absolute growth rate (AGR, ALGR), the relative growth rate (RGR), the leaf area index (LAI), the net assimilation rate (NAR) and the harvest index (HI).Similar tendencies were found for the yield response of maize and the values of the growth parameters as a function of N fertilisation. Based on the results of principal component analysis, multiple regression analysis and discriminant analysis, the parameters AGR, LAI max , ALGR and HI were found to have a decisive influence on the grain yield of maize. It could be concluded from the results that growth parameters can be used to predict the N fertiliser responses of maize in early growth stages.

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Matsui, Naohiro, Koji Nakata, Chisambi Cornelius, and Moyo Macdonald. "Diagnosing Maize Growth for Determination of Optimum Fertilizer Application Time in Northern Malawi." Journal of Agricultural Science 8, no. 5 (2016): 50. http://dx.doi.org/10.5539/jas.v8n5p50.

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<p>Plant diagnosis was proven to be useful for predicting maize growth condition. The number of days to male flowering and that to silk emergence differed among the four sites, reflecting differences in growth condition. Maize stalk weight decreased when the number of days to male flowering exceeded 65. Two growth indexes (GIs), plant height and stem diameter, well predicted maize fresh weight as expressed by the equation: Fresh weight = -0.013 + 1.26 × (Plant height × Stem diameter) (r<sup>2</sup> = 0.57). Those two parameters changed with the growth stage according to the maize growth condition. GI monitoring revealed that week 4 (W4) or week 8 (W8) after germination was the determinant of overall maize growth. Leaf color also changed in the course of growth; leaf color at W4 was the best indicator of maize grain yield. Such plant diagnosis parameters as GI and leaf color are useful for the determination of optimum fertilizer application time.</p>

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Dhongade, Pratiksha, D. G. Kanwade, V. V. Gawande, and T. H. Rathod. "Growth parameters, Biochemical and yield characterisation of maize inbred lines." Plant Science Archives 7, no. 1 (2022): 4–8. http://dx.doi.org/10.51470/psa.2022.7.1.04.

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The present study, titled Morpho-physiological Characterization of Inbred Lines in Maize, was conducted during the Rabi season of 2019-20 at the Agricultural Research Station, Buldana. The experiment followed a randomized block design (RBD) with three replications, evaluating eleven maize inbred lines: BMI-6-2-2, BMI-28-1, BMI-34-3, BMI-23-1, BVM-21-1, MGT-53-2-1, MGT-53-36, MGT-53-23, MGT-53-24-4, V1543-6-12, and V1551-15. Sowing was performed on December 21, 2019, using the dibbling method, with a spacing of 60 × 20 cm. Standard agronomic practices, including the recommended NPK dose of 120:60:40 kg/ha, were adopted. Growth parameters were measured at 30, 60, and at harvest stages, while biochemical parameters were evaluated at 30 and 60 days after sowing (DAS). Yield and yield attributes were recorded at harvest. Among the inbred lines, MGT-53-2-1 exhibited significantly superior performance in growth parameters, including crop growth rate (g/day), relative growth rate (g/g/day), and net assimilation rate (g/dm²/day). The line also demonstrated the highest chlorophyll content index (SPAD values), grain yield (g/plant), and harvest index (%). Furthermore, inbred lines MGT-53-2-1 and MGT-53-24-4 excelled in biochemical traits and yield attributes, respectively. These findings highlight the potential of MGT-53-2-1 and MGT-53-24-4 for improving key morphological, physiological, and yield traits in maize. The superior inbred lines identified in this study can be utilized in future breeding programs aimed at enhancing maize productivity and performance.

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Yin, Qi, Xingjiao Yu, Zelong Li, et al. "Estimating Summer Maize Biomass by Integrating UAV Multispectral Imagery with Crop Physiological Parameters." Plants 13, no. 21 (2024): 3070. http://dx.doi.org/10.3390/plants13213070.

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The aboveground biomass (AGB) of summer maize is an important indicator for assessing crop growth status and predicting yield, playing a significant role in agricultural management and decision-making. Traditional on-site measurements of AGB are limited, due to low efficiency and a lack of spatial information. The development of unmanned aerial vehicle (UAV) technology in agriculture offers a rapid and cost-effective method for obtaining crop growth information, but currently, the prediction accuracy of summer maize AGB based on UAVs is limited. This study focuses on the entire growth period of summer maize. Multispectral images of six key growth stages of maize were captured using a DJI Phantom 4 Pro, and color indices and elevation data (DEM) were extracted from these growth stage images. Combining measured data such as summer maize AGB and plant height, which were collected on the ground, and based on the three machine learning algorithms of partial least squares regression (PLSR), random forest (RF), and long short-term memory (LSTM), an input feature analysis of PH was carried out, and a prediction model of summer maize AGB was constructed. The results show that: (1) using unmanned aerial vehicle spectral data (CIS) alone to predict the biomass of summer maize has relatively poor prediction accuracy. Among the three models, the LSTM (CIS) model has the best simulation effect, with a coefficient of determination (R2) ranging from 0.516 to 0.649. The R2 of the RF (CIS) model is 0.446–0.537. The R2 of the PLSR (CIS) model is 0.323–0.401. (2) After adding plant height (PH) data, the accuracy and stability of model prediction significantly improved. R2 increased by about 25%, and both RMSE and NRSME decreased by about 20%. Among the three prediction models, the LSTM (PH + CIS) model had the best performance, with R2 = 0.744, root mean square error (RSME) = 4.833 g, and normalized root mean square error (NRSME) = 0.107. Compared to using only color indices (CIS) as the model input, adding plant height (PH) significantly enhances the prediction effect of AGB (aboveground biomass) prediction in key growth periods of summer maize. This method can serve as a reference for the precise monitoring of crop biomass status through remote sensing with unmanned aerial vehicles.

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9

Biradar, D. P., D. G. Bullock, and A. Lane Rayburn. "Nuclear DNA amount, growth, and yield parameters in maize." Theoretical and Applied Genetics 88, no. 5 (1994): 557–60. http://dx.doi.org/10.1007/bf01240918.

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10

Best-Ordinioha, Joyce Chinyere, Anthony E. Ataga, and Edache B. Ochekwu. "The Effect of the Application of Different Rates of Herbicides on the Growth and Yield Component of Zea mays L." Greener Journal of Agricultural Sciences 7, no. 1 (2017): 032–38. https://doi.org/10.15580/GJAS.2017.1.110716202.

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Background: Weeds are responsible for low crop yield, and responsible for the large gap between the potential and actual yield per hectare. The traditional manual method of weed control in Nigeria has become very difficult and expensive, because of the cost of hiring labor, particularly during the peak cropping period, due to increasing rural-urban migration. This has encouraged the use of herbicides in weed control, even by untrained illiterate farmers, hence the need to assess the effects of the use on yield. This study assessed the effects of the application of different concentration of herbicides on the growth and yield of maize, cultivated in succeeding years.   Materials and methods: The study was carried out in a plot of land at the University of Port-Harcourt in 2013 and 2014, using a randomized complete block design with three replicates, and plot size of 2m x 2m. Glyphosate was used to prepare the experimental plots, while different application doses of primextra dual gold (atrazine and metolachlor) were applied to the plots, after planting the maize. The control plot was not treated with the herbicides. The growth and yield parameters of the maize planted in the plots were assessed through the physio-chemical characteristics of the soil, the germination count, leaf count, height of maize plant, and the yield of maize at harvest.   Results: The application of the herbicides resulted in improvements in the growth and yield parameters of the maize. The parameters in the plots in which the herbicides had been applied at or below the manufacturer’s recommended dose (2.11ai/ha) were comparable to those of the control; and then significantly decreased in the plots in which the herbicides were applied in overdose. The parameters were also higher in the first phase of the study, compared to the second phase that took place one year later in the same plots. There was also a reduction in the organic matter and exchangeable minerals content of the soil in the second phase of the study.   Conclusion: The application of herbicides for weed control, up to their recommended doses resulted in a one-off improvement in the growth and yield parameters of the cultivated maize crop. Efforts are therefore needed to properly educate farmers.

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Dissertations / Theses on the topic "Growth parameters and maize"

1

Thobatsi, Jacob Thobatsi. "Growth and yield responses of maize (Zea mays L.) and cowpea (Vigna unguiculata L.) in an intercropping system." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-10122009-184005.

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2

Harena, Tchamse. "Essai de validation et perspectives d'application en agrometeorologie d'un modele de simulation de la croissance et du developpement du mais : ceres-maize." Clermont-Ferrand 2, 1988. http://www.theses.fr/1988CLF2D214.

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Apres une description du modele couple de simulation du bilan hydrique, du developpement et de la croissance, les valeurs simulees sont comparees aux donnees recueillies lors de quatre annees d'experimentation dans le puy-de-dome sur deux varietes de mais (dea et boree). On a constate que du point de vue phenologique le modele presente un retard de precocite et que les valeurs de croissance sont sous estimees. On etudie la sensibilite du modele aux parametres genetiques d'entree et a deux coefficients numeriques (phyllochrone et plastochrone), puis a la variation de l'etat hydrique du sol et a une irrigation intervenant pendant la floraison femelle

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Maende, Cleophas Makokha. "An application of a model of maize growth to maize production by smallholders in Kenya." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240744.

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Drost, Roelof Gerrit. "MAIS, a mechanistic model of maize growth and development." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ61892.pdf.

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Schortemeyer, Marcus. "Effects of nitrogen form on the growth of maize seedlings /." [S.l.] : [s.n.], 1994. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10739.

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Massignam, Angelo Mendes. "Quantifying nitrogen effects on crop growth processes in maize and sunflower /." St. Lucia, Qld, 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17639.pdf.

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Verheul, Michel J. "Seedling growth of maize (<> L.) genotypes under chilling conditions /." [S.l.] : [s.n.], 1992. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9855.

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Anil, Leena. "The growth and utilization of forage maize intercrops for livestock production." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266795.

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Olsson, Adam. "Graphene Growth through Chemical Vapor Deposition - Optimization of Growth and Transfer Parameters." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-137546.

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The goal of this thesis work is to investigate the possibility to grow graphene by Chemical Vapor Deposition (CVD) on copper foil with acetylene as a precursor and varigon (5\% H$_2$ in Ar) as a carrier gas. The possibility of nitrogen doping by ammonia treatment during the growth process is also investigated. The possibility of graphene transfer, with the use of Poly(Methyl Metacrylate) (PMMA), from the copper onto another target substrate, Flourine doped Tin Oxide (FTO), is also explored. The main technique of characterization of the grown and transfered graphene is Raman spectroscopy, a great tool for investigating the number of graphene layers and amount of defects. Other characterization methods used are Scanning Electron Microscopy (SEM) X-ray Photoelectron Spectroscopy (XPS) to investigate morphology and elemental composition, respectively. The result of this thesis study is that graphene growth is entirely possible with acetylene as a precursor, as shown by the Raman spectroscopy, XPS and SEM. The grown graphene has a high quality with few layers and a low number of defects. The ammonia treatment, however, doesn't seem to have an immediate effect on the graphene growth. The XPS data indicates that there are no nitrogen doping in the graphene, though there might be a correlation between the ammonia and the number of layers, but further investigations has to be made. Transfer is also proven possible with the method developed. However, improvements to the transfer method can be done since there are both larger tares, caused by the transfer onto the FTO, as well as microscopic tares, possibly caused by thermal expansion of the PMMA.

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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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<p> 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 <i>in situ </i> 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<sup>®</sup>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<sup>®</sup>3 for fluorescence sensing and the GreenSeeker<sup>®</sup> 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 (R<sup>2 </sup>). 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 <i>in situ.</i></p>

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Books on the topic "Growth parameters and maize"

1

Allan, Jones C., Kiniry J. R. 1954-, and Dyke P. T, eds. CERES-Maize: A simulation model of maize growth and development. Texas A&M University Press, 1986.

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Nelson, Bonita D. Population parameters of the rougheye rockfish (Sebastes aleutianus). School of Fisheries and Science, University of Alaska, 1986.

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Raj, Paudyal Kamal, International Maize and Wheat Improvement Center., and National Agricultural Research Center (Nepal), eds. Maize in Nepal: Production systems, constraints, and priorities for research. NARC, 2001.

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United States. National Aeronautics and Space Administration., ed. [Root gravitropism in maize and arabidopsis]: [final report 1 Mar. 1992 - 30 Nov. 1993]. National Aeronautics and Space Administration, 1992.

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Misra, R. K. A program to compare statistically the generalized von Bertalanffy growth curves and their parameters. Modelling and Statistics Group, Biological Sciences Branch, Dept. of Fisheries and Oceans, 1987.

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Gross, Daniel. Data sources for parameters used in predictive modeling of fire growth and smoke spread. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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(Zimbabwe), CIMMYT Regional Office, ed. Characterization of maize germplasm growth in eastern and southern Africa: Results of the 2006 regional trials. CIMMYT-Zimbabwe, 2007.

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Clarke, Matthew David. Some parameters affecting the performance of early lambs from suckled and early weaned systems. University College Dublin, 1998.

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Maroglou, Athanasios. Fluidized bed granulation mechanisms of growth, the effects of operating and material parameters and techniquesfor feasibility and optimisation studies. University of Birmingham, 1985.

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Lisambart, Laura Eliana Chávez. Age determination, growth, and gonad maturation as reproductive parameters of dusky dolphin Lagenorhynchus obscurus (Gray 1828) from Peruvian waters. [s.n.], 1998.

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Book chapters on the topic "Growth parameters and maize"

1

Stoimenova, I., E. Djonova, A. Taleva, and N. Kaloyanova. "Examination of Some Parameters for Ecological Growth of Maize in Pelic Vertisol." In Survival and Sustainability. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-95991-5_15.

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Kawaye, Floney P., and Michael F. Hutchinson. "Maize, Cassava, and Sweet Potato Yield on Monthly Climate in Malawi." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_120.

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AbstractClimate change and climate variability in Malawi have negatively affected the production of maize, a staple food crop. This has adversely affected food security. On the other hand, there have been increases in growing area, production, yield, consumption, and commercialization of both cassava and sweet potato. Factors behind these increases include the adaptive capacity of these crops in relation to climate change and variability, structural adjustment programs, population growth and urbanization, new farming technologies, and economic development. Cassava and sweet potato are seen to have the potential to contribute to food security and alleviate poverty among rural communities.This study used a simple generic growth index model called GROWEST to model observed yields of maize, cassava, and sweet potato across Malawi between 2001 and 2012. The method can be viewed as a hybrid approach between complex process-based crop models and typical statistical models. For each food crop, the GROWEST model was able to provide a robust correlation between observed yields and spatially interpolated monthly climate. The model parameters, which included optimum growing temperatures and growing seasons, were well determined and agreed with known values. This indicated that these models could be used with reasonable confidence to project the impacts of climate change on crop yield. These projections could help assess the future of food security in Malawi under the changing climate and assist in planning for this future.

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Nzimande, T. N. M., Vimbayi G. P. Chimonyo, E. M. Wimalasiri, and Tafadzwanashe Mabhaudhi. "Using AquaCrop, DSSAT and the SIMPLE to Estimate Water Use of Underutilised Cereal in South Africa." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_9.

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Abstract The study compares yield, biomass and water use (WU) for maize, sorghum and millet simulated using three crop models of varying complexity: AquaCrop, DSSAT and the SIMPLE model. A standard set of crop parameters was used to develop crop files for all three models. Similar soil, climate and management descriptions from the Ukulinga Research Farm were used across the models. The performance of the three models was observed to be statistically different. Based on the mean bias error, all models overestimated yield, but the lowest overestimation was with AquaCrop (0.22 t/ha), followed by DSSAT (0.24 t/ha) and the SIMPLE model (0.69 t/ha). Other statistical indicators, namely, RMSE and R 2, illustrated that the simulation of yield and WP in AquaCrop was more satisfactory than DSSAT and the SIMPLE model. The study confirms that DSSAT requires relatively more input data but does not always perform more satisfactorily. Before their application, it is essential to calibrate crop growth parameters for local conditions or use parameters from local field studies when applying complex crop models such as DSSAT specifically for marginal environments, such as South Africa. On the other hand, AquaCrop performed reasonably well with minimal input requirements, confirming its application in data-limited and marginal environments. However, it is recommended that there must be calibration for all the models using inputs specific to locations.

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Shaffique, Shifa, Muhammad Imran, Shabir Hussain Wani, et al. "Role of Plant Growth-Promoting Rhizobacteria Mitigating Drought Stress in Maize." In Maize Improvement. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21640-4_15.

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Maiti, Ratikanta, Humberto González Rodríguez, Ch Aruna Kumari, Sameena Begum, and Dasari Rajkumar. "Physiological Basis of Crop Growth and Productivity." In Advances in Maize Science. Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003104995-6.

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Hedden, Peter, and Stephen J. Croker. "Regulation of gibberellin biosynthesis in maize seedlings." In Progress in Plant Growth Regulation. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2458-4_64.

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Rigobelo, Everlon Cid. "Promotion of Maize Growth Using Endophytic Bacteria." In Microbial Services for Cereal Crops. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63149-8_3.

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Westgate, Mark E. "Strategies to Maintain Ovary and Kernel Growth During Drought." In Physiological Bases for Maize Improvement. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578499-7.

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Fyson, A., and A. Oaks. "Promotion of maize growth by legume soil factors." In The Rhizosphere and Plant Growth. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3336-4_81.

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Morgan, Alexander B., Jose L. Torero, and Guillermo Rein. "Physical Parameters Affecting Fire Growth." In Fire Retardancy of Polymeric Materials, 3rd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003380689-3.

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Conference papers on the topic "Growth parameters and maize"

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Kulchin, Yu N., S. O. Kozhanov, A. S. Kholin, et al. "Chlorophyll fluorescence parameters of maize plants grown under linearly polarized light." In 2024 International Conference Laser Optics (ICLO). IEEE, 2024. http://dx.doi.org/10.1109/iclo59702.2024.10624190.

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Yang, Haibin, Yangfeiyi Chen, Tianzi Zhang, and Fengzhe Zhu. "Maize Growth Simulation Analysis and Yield Prediction Based on Integrated Learning Algorithm and WOFOST Model." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929165.

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Kanjevac, Milica, Biljana Bojović, Marija Todorović, Dragana Jakovljević, Jovana Momčilović, and Milan Stanković. "EFEKAT HORMOPRAJMINGA NA POBOLJŠANJE OTPORNOSTI KLIJANACA KUKURUZA NA USLOVE SLANOG STRESA." In XXVII savetovanje o biotehnologiji. University of Kragujevac, Faculty of Agronomy, 2022. http://dx.doi.org/10.46793/sbt27.449k.

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The paper examines the influence of different salicylic acid concentrations on germination percentage, dynamics and uniformity of germination, elongation and biomass of maize (Zea mays L.) seedlings in the early phase of growth and development, as well as the effect of hormopriming by salicylic acid on overcoming salt stress. According to the obtained results, the stimulating effect of salicylic acid on the germination and growth parameters of maize seedlings was confirmed, as well as its protective effect in conditions of salt stress. The concentrations of 10-4 and 10-5 M had the greatest effect on the examined parameters.

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Djalovic, Ivica, Vuk Radojevic, Vojislav Mihailovic, Sanja Vasiljevic, and Bojan Mitrovic. "GENOTIPSKI ODGOVOR NS HIBRIDA KUKURUZA NA POVEĆANU GUSTINU USEVA." In XXVI savetovanje o biotehnologiji sa međunarodnim učešćem. Agronomski fakultet Univerziteta u Kragujevcu, 2021. http://dx.doi.org/10.46793/sbt26.011dj.

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Maize density is an important factor in cultivation which has significant effect on growth parameters. Newer hybrids have greater grain yield at higher plant densities than older hybrids. Differences in grain yield between older and newer maize hybrids were shown to be a function of plant population density. Optimum plant density for maximum grain yield per unit area may differ from hybrid to hybrid on account of significant interactions between hybrids and densities. Modern hybrids have shown tendencies to withstand higher levels of stress (i.e.- low N, high plant densities), which allow them to better sustain suitable photosynthetic rates, appropriate assimilate supplies, and maintain plant growth rates attributable to enhanced mineral nutrition and water use efficiency.

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Matejić, Vesna, Vera Rajičić, Biljana Šević, et al. "CHEMICAL AND MORPHOLOGICAL PARAMETERS OF SWEET CORNS INFLUENCED BY PRODUCTION METHOD." In 3rd International Symposium on Biotechnology. University of Kragujevac, Faculty of Agronomy in Čačak, 2025. https://doi.org/10.46793/sbt30.11vm.

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This field experiment was conducted to see the influence of production methods (open field/green house) on some morphological and chemical characteristics of super sweet (SH2) corn hybrid. The study was established at a local farm in Bogojevce (Municipality of Leskovac, South Serbia). The highest values of morphological characteristics (total plant hight and first cob hight) were achived when Sweet Nugget F1 was grown at open field. The production method did not have statistically significant impact on the average velues of the observed morphological parameters. The highest amount of total sugar and invert sugar in maize kernel was achived when grown in open field with the values of 11.04% and 7.24% respectively. When grown under greenhouse conditions, the total sugar amount was 8.04%, whereby the amount of invert sugar was 4.29%. A positive and very strong correlation between total sugars and invert sugars was observed.

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Scaeteanu_Vasile, Roxana Maria. "THE EFFECTS OF IRRIGATION ON YIELD POTENTIAL AND GRAIN QUALITY PARAMETERS FOR MAIZE HYBRIDS GROWN ON CAMBIC CHERNOZEM." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/32/s13.076.

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Szczepanek, Malgorzata. "Technology of maize with growth stimulants application." In 17th International Scientific Conference Engineering for Rural Development. Latvia University of Agriculture, 2018. http://dx.doi.org/10.22616/erdev2018.17.n074.

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"Prediction of maize weevil population growth rate." In 2014 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, 2014. http://dx.doi.org/10.13031/aim.20141908072.

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Ruleva, Olga, and Gleb Rulev. "Relationship Between Air Temperature and Maize Growth Function." In IV International Scientific and Practical Conference 'Anthropogenic Transformation of Geospace: Nature, Economy, Society' (ATG 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/aer.k.200202.051.

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Qiaoyu, Li, Liu Shuyun, Mu Yuanjie, and Shang Minghua. "Maize Growth Monitoring Based on Embedded Vision System." In 2019 2nd International Conference on Safety Produce Informatization (IICSPI). IEEE, 2019. http://dx.doi.org/10.1109/iicspi48186.2019.9096002.

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Reports on the topic "Growth parameters and maize"

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Jander, Georg, and Daniel Chamovitz. Investigation of growth regulation by maize benzoxazinoid breakdown products. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600031.bard.

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Introduction Previous research had suggested that benzoxazinoids, a class of defensive metabolites found in maize, wheat, rye, and wild barley, are not only direct insect deterrents, but also influence other areas of plant metabolism. In particular, the benzoxazinoid 2,4-dihydroxy-7-methoxy-2H-1,4-benzoxa- zin-3(4H)- one (DIMBOA) was implicated in: (i) altering plant growth by interfering with auxin signaling, and (ii) leading to the induction of gene expression changes and secondary plant defense responses. The overall goal of this proposal was to identify mechanisms by which benzoxazinoids influence other aspects of plant growth and defense. Specifically, the following hypotheses were proposed to be tested as part of an approved BARD proposal: Benzoxazinoid breakdown products directly interfere with auxin perception Global changes in maize and barley gene expression are induced by benzoxazinoid activation. There is natural variation in the maize photomorphogenic response to benzoxazinoids. Although the initial proposal included experiments with both maize and barley, there were some technical difficulties with the proposed transgenic barley experiments and most of the experimental results were generated with maize. Summary of major findings Previous research by other labs, involving both maize and other plant species, had suggested that DIMBOA alters plant growth by interfering with auxin signaling. However, experiments conducted in both the Chamovitz and the Jander labs using Arabidopsis and maize, respectively, were unable to confirm previously published reports of exogenously added DIMBOA effects on auxin signaling. Nevertheless, analysis of bx1 and bx2 maize mutant lines, which have almost no detectable benzoxazinoids, showed altered responses to blue light signaling. Transcriptomic analysis of maize mutant lines, variation in inbred lines, and responses to exogenously added DIMBOA showed alteration in the transcription of a blue light receptor, which is required for plant growth responses. This finding provides a novel mechanistic explanation of the trade-off between growth and defense that is often observed in plants. Experiments by the Jander lab and others had demonstrated that DIMBOA not only has direct toxicity against insect pests and microbial pathogens, but also induces the formation of callose in both maize and wheat. In the current project, non-targeted metabolomic assays of wildtype maize and mutants with defects in benzoxazinoid biosynthesis were used to identify unrelated metabolites that are regulated in a benzoxazinoid-dependent manner. Further investigation identified a subset of these DIMBOA-responsive compounds as catechol, as well as its glycosylated and acetylated derivatives. Analysis of co-expression data identified indole-3-glycerol phosphate synthase (IGPS) as a possible regulator of benzoxazinoid biosynthesis in maize. In the current project, enzymatic activity of three predicted maize IGPS genes was confirmed by heterologous expression. Transposon knockout mutations confirmed the function of the maize genes in benzoxazinoid biosynthesis. Sub-cellular localization studies showed that the three maize IGPS proteins are co-localized in the plastids, together with BX1 and BX2, two previously known enzymes of the benzoxazinoid biosynthesis pathway. Implications Benzoxazinoids are among the most abundant and effective defensive metabolites in maize, wheat, and rye. Although there is considerable with-in species variation in benzoxazinoid content, very little is known about the regulation of this variation and the specific effects on plant growth and defense. The results of this research provide further insight into the complex functions of maize benzoxazinoids, which are not only toxic to pests and pathogens, but also regulate plant growth and other defense responses. Knowledge gained through the current project will make it possible to engineer benzoxazinoid biosynthesis in a more targeted manner to produce pest-tolerant crops without negative effects on growth and yield.

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Susan M. Wick. Growth and development of maize that contains mutant tubulin genes. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/826290.

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Crowley, David E., Dror Minz, and Yitzhak Hadar. Shaping Plant Beneficial Rhizosphere Communities. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7594387.bard.

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PGPR bacteria include taxonomically diverse bacterial species that function for improving plant mineral nutrition, stress tolerance, and disease suppression. A number of PGPR are being developed and commercialized as soil and seed inoculants, but to date, their interactions with resident bacterial populations are still poorly understood, and-almost nothing is known about the effects of soil management practices on their population size and activities. To this end, the original objectives of this research project were: 1) To examine microbial community interactions with plant-growth-promoting rhizobacteria (PGPR) and their plant hosts. 2) To explore the factors that affect PGPR population size and activity on plant root surfaces. In our original proposal, we initially prqposed the use oflow-resolution methods mainly involving the use of PCR-DGGE and PLFA profiles of community structure. However, early in the project we recognized that the methods for studying soil microbial communities were undergoing an exponential leap forward to much more high resolution methods using high-throughput sequencing. The application of these methods for studies on rhizosphere ecology thus became a central theme in these research project. Other related research by the US team focused on identifying PGPR bacterial strains and examining their effective population si~es that are required to enhance plant growth and on developing a simulation model that examines the process of root colonization. As summarized in the following report, we characterized the rhizosphere microbiome of four host plant species to determine the impact of the host (host signature effect) on resident versus active communities. Results of our studies showed a distinct plant host specific signature among wheat, maize, tomato and cucumber, based on the following three parameters: (I) each plant promoted the activity of a unique suite of soil bacterial populations; (2) significant variations were observed in the number and the degree of dominance of active populations; and (3)the level of contribution of active (rRNA-based) populations to the resident (DNA-based) community profiles. In the rhizoplane of all four plants a significant reduction of diversity was observed, relative to the bulk soil. Moreover, an increase in DNA-RNA correspondence indicated higher representation of active bacterial populations in the residing rhizoplane community. This research demonstrates that the host plant determines the bacterial community composition in its immediate vicinity, especially with respect to the active populations. Based on the studies from the US team, we suggest that the effective population size PGPR should be maintained at approximately 105 cells per gram of rhizosphere soil in the zone of elongation to obtain plant growth promotion effects, but emphasize that it is critical to also consider differences in the activity based on DNA-RNA correspondence. The results ofthis research provide fundamental new insight into the composition ofthe bacterial communities associated with plant roots, and the factors that affect their abundance and activity on root surfaces. Virtually all PGPR are multifunctional and may be expected to have diverse levels of activity with respect to production of plant growth hormones (regulation of root growth and architecture), suppression of stress ethylene (increased tolerance to drought and salinity), production of siderophores and antibiotics (disease suppression), and solubilization of phosphorus. The application of transcriptome methods pioneered in our research will ultimately lead to better understanding of how management practices such as use of compost and soil inoculants can be used to improve plant yields, stress tolerance, and disease resistance. As we look to the future, the use of metagenomic techniques combined with quantitative methods including microarrays, and quantitative peR methods that target specific genes should allow us to better classify, monitor, and manage the plant rhizosphere to improve crop yields in agricultural ecosystems. In addition, expression of several genes in rhizospheres of both cucumber and whet roots were identified, including mostly housekeeping genes. Denitrification, chemotaxis and motility genes were preferentially expressed in wheat while in cucumber roots bacterial genes involved in catalase, a large set of polysaccharide degradation and assimilatory sulfate reduction genes were preferentially expressed.

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Blom-Zandstra, Greet, Yu Tinzar Htet, and Jennifer Lee. Data collection on maize growth during a field visit in Shan State, Myanmar. Stichting Wageningen Research, Wageningen Plant Research, Business Unit Agrosystems, 2020. http://dx.doi.org/10.18174/516092.

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Amzeri, Achmad, B. S. DARYONO, and M. SYAFII. GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS. SABRAO Journal of Breeding and Genetics, 2020. http://dx.doi.org/10.21107/amzeri.2020.2.

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The phenotypic analysis of new candidate varieties at multiple locations could provide information on the stability of their genotypes. We evaluated the stability of 11 maize hybrid candidates in five districts in East Java Province, Indonesia. Maize hybrids with high yield potential and early maturity traits derived from a diallel cross were planted in a randomized complete block design with two checks (Srikandi Kuning and BISI-2) as a single factor with four replicates. The observed traits were grain yield per hectare and harvest age. The effects of environment, genotype, and genotype × environment interaction on yield were highly significant (P < 0.01). KTM-1, KTM-2, KTM-4, KTM-5, and KTM-6 showed higher average grain yield per hectare than the checks (Srikandi Kuning = 8.49 ton ha−1 and BISI-2 = 7.32 ton ha−1) at five different locations. The average harvest age of 11 candidates was less than 100 days. KTM-4 and KTM-5 had production yields that were higher than the average yield of all genotypes in all environments (Yi > 7.78 tons ha−1) and were considered stable on the basis of three stability parameters, i.e., Finlay–Wilkinson, Eberhart–Russell, and additive main effect multiplicative interaction (AMMI). KTM-2 had the highest yield among all tested genotypes (9.33 ton ha−1) and was considered as stable on the basis of AMMI but not on the basis of Finlay–Wilkinson and Eberhart–Russell. KTM-1 performed well only in Pamekasan, whereas KTM-6 performed well only in Sampang. Thus, these two genotypes could be targeted for these specific locations.

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Knight, Charles. Does N fertilizer rate affect microbial benefits to early maize growth? An evaluation of Iowa-isolated microbial communities. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-565.

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Becker, C. D. Food and growth parameters of juvenile chinook in the central Columbia River. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10188595.

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Abreu N. P. and W. Fischer. Emittance growth with offset beam-beam collisions and small beam-beam parameters. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1061875.

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Boven, Van, Jack, and King. L51965 Environmental Factors-Effect of SCC Growth. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0011264.

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Stress corrosion cracking (SCC) is an established threat to the integrity of gas transmission pipelines and is a significant concern to pipeline operators. In line inspection (ILI) tools are actively being developed to detect SCC. This project combined the implementation of new ILI tools with the environmental characterization of identified SCC sites. Characterization of sites included site and soil parameters traditionally derived from surface inspection as well as the measurement of pipe depth soil parameters (electrical resistance, oxidation reduction potential, temperature, pipe to soil potential). The intent was to relate environmental parameters to the incidence of SCC features with the hope of developing predictive models for the probability of SCC. Such models would be useful in direct assessment or in prioritizing sections of line for hydrotests or ILI.

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Gross, Daniel. Data sources for parameters used in predictive modeling of fire growth and smoke spread. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3223.

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