scholarly journals Aflatoxigenic contamination of freshly harvested white maize (Zea mays L.) from some selected Ugandan districts

2019 ◽  
Author(s):  
Timothy Omara
Keyword(s):  
Zea Mays ◽  
Moisture Content ◽  
Ochratoxin A ◽  
Zea Mays L ◽  
Lake Victoria ◽  
Total Aflatoxin ◽  
Strategic Adaptation ◽  
Maize Varieties ◽  
Agroecological Zones

The moisture content and total aflatoxin (AF) content of 27 samples of freshly harvested white maize (Zea mays L.) from Mubende (n = 3), Ibanda (n = 3), Jinja (n = 3), Mayuge (n = 3) , Buikwe (n = 3), Hoima (n = 3), Mpigi (n = 3), Masindi (n = 3) and Bugiri (n = 3) districts of Uganda representing the agroecological zones: Lake Victoria crescent, Western Highlands, South East and Lake Albert Crescent were determined in the second season harvest of January 2019 to March 2019. Moisture content ranged from 12.9 to 18.8% (mean moisture content varied from 13.9±0.35-17.2±1.55%) with the highest moisture recorded in maize from Ibanda. The highest mean AF contamination of 11.0±3.01 μg/kg was recorded in maize from Hoima while the lowest AF content of 3.8±1.30 μg/kg was recorded in maize from Mpigi. Despite the fact that all the samples had detectable aflatoxins, none of the maize samples had aflatoxin greater than WHO regulatory limit of 20 μg/kg. White maize in Uganda are precontaminated by aflatoxins prior to harvest. Whereas the spectre of aflatoxigenic contamination of foods remains a ticklish challenge to address, strategic adaptation and deployment of appropriate interventions can help secure a safe harvest. Farmers should plant maize varieties with established maturity periods to ensure timely harvesting. Further research should assess the presence of other mycotoxins as zearalenone, sterigmatocystin, ochratoxin A, citrinin, vomitoxin and diacetoxyscirpenol that may co-occur with aflatoxins in freshly harvested maize.

scholarly journals Aflatoxigenic contamination of freshly harvested white maize (Zea mays L.) from some selected Ugandan districts

2019 ◽  
Author(s):  
Timothy Omara
Keyword(s):  
Zea Mays ◽  
Moisture Content ◽  
Ochratoxin A ◽  
Zea Mays L ◽  
Lake Victoria ◽  
Total Aflatoxin ◽  
Strategic Adaptation ◽  
Maize Varieties ◽  
Agroecological Zones

The moisture content and total aflatoxin (AF) content of 27 samples of freshly harvested white maize (Zea mays L.) from Mubende (n = 3), Ibanda (n = 3), Jinja (n = 3), Mayuge (n = 3) , Buikwe (n = 3), Hoima (n = 3), Mpigi (n = 3), Masindi (n = 3) and Bugiri (n = 3) districts of Uganda representing the agroecological zones: Lake Victoria crescent, Western Highlands, South East and Lake Albert Crescent were determined in the second season harvest of January 2019 to March 2019. Moisture content ranged from 12.9 to 18.8% (mean moisture content varied from 13.9±0.35-17.2±1.55%) with the highest moisture recorded in maize from Ibanda. The highest mean AF contamination of 11.0±3.01 μg/kg was recorded in maize from Hoima while the lowest AF content of 3.8±1.30 μg/kg was recorded in maize from Mpigi. Despite the fact that all the samples had detectable aflatoxins, none of the maize samples had aflatoxin greater than WHO regulatory limit of 20 μg/kg. White maize in Uganda are precontaminated by aflatoxins prior to harvest. Whereas the spectre of aflatoxigenic contamination of foods remains a ticklish challenge to address, strategic adaptation and deployment of appropriate interventions can help secure a safe harvest. Farmers should plant maize varieties with established maturity periods to ensure timely harvesting. Further research should assess the presence of other mycotoxins as zearalenone, sterigmatocystin, ochratoxin A, citrinin, vomitoxin and diacetoxyscirpenol that may co-occur with aflatoxins in freshly harvested maize.

scholarly journals Identification of Associations between SSR Markers and Quantitative Traits of Maize (Zea mays L.)

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 182
Author(s):  
Jan Bocianowski ◽  
Kamila Nowosad ◽  
Barbara Wróbel ◽  
Piotr Szulc
Keyword(s):  
Zea Mays ◽  
Ssr Markers ◽  
Marker Assisted Selection ◽  
Quantitative Traits ◽  
Zea Mays L ◽  
Fresh Weight ◽  
Multiple Traits ◽  
Good Tool ◽  
Maize Varieties ◽  
Hybrid Maize

Microsatellite or simple sequence repeat (SSR) markers have wide applicability for genetic analysis in crop plant improvement strategies. Marker-assisted selection is an important tool for plant breeders to increase the efficiency of a breeding process, especially for multigenic traits, highly influenced by the environment. In this paper, the relationships between SSR markers and 26 quantitative traits of hybrid maize varieties (Zea mays L.) were analyzed. Association analyses were performed based on 30 SSR primers in a set of thirteen hybrid maize varieties. A total of 112 SSR markers were detected in these genotypes. The number of alleles per locus ranged from 1 to 17, with the average number of alleles per locus equal to 3.7. The number of molecular markers associated with observed traits ranged from 1 (for the number of kernels in row, ears weight and fresh weight of one plant) to 14 (for damage of maize caused by P. nubilalis) in 2016 as well as from 1 (for soil plant analysis development—SPAD, the number of grains in ear and fresh weight of one plant) to 12 (for carotenoids content) in 2017. The sum of statistically significant associations between SSR markers and at least one trait was equal to one hundred sixty in 2016 as well as one hundred twenty-five in 2017. Marker trait associations (MTAs) were found on the basis of regression analysis. The proportion of the total phenotypic variances of individual traits explained by the marker ranged from 24.4% to 77.7% in the first year of study and from 24.3% to 77.9% in 2017. Twenty-two SSR markers performed a significant effect on at least one tested trait in both years of experiment. The three markers (phi021/4, phi036/3, and phi061/2) can be a good tool in marker-assisted selection because they allow simultaneous selection for multiple traits in both years of study, such as the number of kernels in row and the number of grains in ear (phi021/4), the number of plant after germination, the number of plants before harvest, and the number of ears (phi036/3), as well as moisture of grain and length of ears (phi061/2).

scholarly journals Karakteristik Pengeringan Biji Jagung (Zea Mays L.) Menggunakan Alat Pengering Surya Adriyarkara Termodifikasi

2018 ◽  
Vol 3 (2) ◽  
pp. 351-360
Author(s):  
Athul Fadhli ◽  
Diswandi Nurba ◽  
Raida Agustina
Keyword(s):  
Zea Mays ◽  
Relative Humidity ◽  
Moisture Content ◽  
Zea Mays L ◽  
Initial Moisture Content ◽  
Solar Irradiation ◽  
Air Velocity ◽  
Drying Time ◽  
Average Temperature ◽  
Average Relative Humidity

Abstrak. Jagung merupakan tanaman penghasil karbohidrat terpenting. Pengeringan jagung pipil menggunakan alat pengering merupakan proses untuk menghasilkan jagung pipil yang siap diolah untuk pembuatan tepung jagung dengan batas kadar air tertentu sehingga menghaslkan jagung pipil dengan kualitas yang baik. Tujuan penelitian ini adalah untuk mengkaji karakteristik pengeringan biji jagung menggunakan alat pengering surya Termodifikasi. Metode penelitian  menggunakan 3,15 kilogram jagung pipil dengan kadar air awal 22% untuk proses pengeringan. Parameter yang dianalisis terkait alat pengering kolektor surya yaitu temperatur, kelembaban relatif, kecepatan udara dan iradiasi surya, sedangkan parameter yang dianalisis terkait bahan yaitu kadar air, lama waktu pengeringan, laju pengeringan dan organoleptik. Prosedur penelitian terdiri dari pengujian kosong dan pengujian dengan menggunakan jagung pipil. Hasil penelitian menunjukkan bahwa temperatur rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 44,4oC, temperatur rata-rata setelah dilakukan modifikasi yaitu 55,5oC dan temperatur rata-rata rak pengering pada pengeringan menggunakan jagung pipil yaitu 46,96oC. Kelembaban relatif rata-rata dalam rak pengering sebelum dilakukan modifikasi yaitu 40,1%, kelembaban relatif rata-rata dalam rak pengering setelah modifikasi yaitu 35,1% dan kelembaban relatif rata-rata pengeringan menggunakan jagung pipil yaitu 44,45%. Dari hasil pengukuran tersebut menunjukkan bahwa nilai temperatur dan kelembaban pada alat setelah modifikasi lebih baik dibandingkan sebelum alat dimodifikasi. Pengukuran temperatur dan kelembaban relatif terdiri dari 4 titik pengukuran yaitu rak 1A,1B dan rak 2A, 2B. Kecepatan udara rata-rata yang diukur konstan yaitu 0,7 m/s pada ruang pengering, sedangkan lingkungan 1,1 m/s. Total iradiasi surya selama pengeringan yaitu 1848,84 W/m2. Kadar air jagung pipil masing-masing rak yaitu rak 1A 14,29%, rak 1B 14,47%, rak 2A 13,91% dan rak 2B 14,1%. Hasil dari pengujian organoleptik, panelis agak menyukai jagung pipil yang dikeringkan menggunakan alat pengering tersebut.Characteristics of Seed Drying (Zea mays L.) Using a Modified Adriyarkara Solar DryerAbstract. Corn is the most important carbohydrate plant. Drying corn using a drying tool is a process to produce corn that are ready to be processed for making corn flour with a certain water content limit so as to produce corn with good quality. The purpose of this study was to examine the characteristics of drying of corn kernels using a modified solar dryer. The research method used 3,15 kilogram of corn milled with the initial moisture content of 22% for drying process. The parameters analyzed in relation to solar collector dryers are temperature, relative humidity, air velocity and solar irradiation, while the parameters analyzed are materials such as moisture content, drying time, drying rate and organoleptic. The research procedure consists of unloaded testing and testing using corn. The results showed that the average temperature in the dryer tray before modification was 44,4°C, the average temperature after modification was 55,5°C and the average temperature of the dryer tray on drying using corn was 46,96oC. The average relative humidity in the dryer tray before modification is 40,1%, the average relative humidity in the dryer tray after modification is 35,1% and the average relative humidity of drying using corn is 44,45%. From the measurement results show that the value of temperature and humidity in the tool after modification is better than before. Measurement of temperature and relative humidity consist of 4 point of measurement that is tray 1A, 1B and tray 2A, 2B. Average mean air velocity measured is 0,7 m/s at the dryer room, while the environment is 1,1 m/s. Total solar irradiation during drying is 1848,84 W/m2. Moisture level of corn each shelves tray 1A is 14,29%, tray 1B is 14.47%, tray 2A is 13,91% and tray 2B is 14,1%. As a result of organoleptic testing, panelists rather like dried corn using the dryer.

scholarly journals PERBEDAAN KARAKTERISTIK KIMIA DAN DAYA CERNA PATI TEPUNG JAGUNG DAN TEPUNG KECAMBAH JAGUNG (Zea mays L.)

2018 ◽  
Vol 7 (1) ◽  
pp. 43
Author(s):  
Willem Kurniawan Lombu ◽  
Ni Wayan Wisaniyasa ◽  
AAI. Sri Wiadnyani
Keyword(s):  
Zea Mays ◽  
Chemical Composition ◽  
Moisture Content ◽  
Zea Mays L ◽  
Starch Content ◽  
Fat Content ◽  
Ash Content ◽  
Starch Digestibility ◽  
Corn Flour ◽  
The Difference

This study aims to determine the difference of characteristic and starch digestibility of germinated and ungerminated flour. This study used randomized complete design (RCD) three repeated. The corn germinated for 36 hours. Corn germinated flour and ungerminated flour were evaluated directly of the chemical composition of the flour content, moisture content, ash content, protein, fat, carbohydrates, fiber, starch content and starch digestibility. The results showed the corn germinated flour has increased of moisture content from 9.66% into 10.38%, increased of protein into 7.22% into 8.45%, increased of fiber content from 2.28% into 2.79% and increased of starch digestibility from 57.04% into 62.43%. While were the decreased fat content from 5.17% into 4.76%, decreased of carbohydrate from 75.41% into 73.89% and decreased of starch content from 76.10% into 69.40%. The treatmented has no effect for the flour content decreased from 41.40% into 40.36% and ash content decreased from 2.52% into 2.51%. Germinated increased starch digestibility and changed the character of corn flour.

scholarly journals Effect Of Grant Palm Oil Ash To The Growth And Production Of Two Corn Varieties (Zea Mays L) In Peatland

2020 ◽  
Author(s):  
Marlina
Keyword(s):  
Zea Mays ◽  
Palm Oil ◽  
Zea Mays L ◽  
Soil Analysis ◽  
Block Design ◽  
Peat Soil ◽  
Randomized Block Design ◽  
Maize Varieties ◽  
Two Factors

The study, entitled the effect of the administration of Palm Oil Long Palm (AJKS) to the growth and production of two corn varieties inpeatlands, was carried out from October 2017 to March 2018 in trench 3 in Tembilahan Hulu Village, Tembilahan Hulu District, Indragiri Hilir Regency,soil analysis and AJKS conducted at the Bogor Institute of Agriculture Laboratory. The purpose of this study was to determine the effect of AJKSadministration on the growth and production of two maize varieties (Zea mays L) on peatlands, and to determine whether there was an interactionbetween the dosage of AJKS and corn varieties on peat soil ameliorating AJKS. The design used was factorial Randomized Block Design (RBD) using 2factors with three replications. The first factor is the dose of AJKS administration consisting of 4 levels, namely: A0: 0 kg / ha, A1: 500 kg / ha, A2: 1000kg / ha, A3: 1500 kg / ha. The second factor is corn varieties with 2 levels, namely: V1: Pioneer Varieties and V2: Varieties N35. Of the two factors aboveobtained 8 treatment combinations. Based on the results of research that has been done, that there is no real interaction and influence between thetreatment of giving AJKS with varieties to all observed parameters. Giving AJKS 1500 kg / ha gives the highest yields on all parameters observed exceptfor the number of cobs, Pioneer variety is the variety that responds most to AJKS administration.

scholarly journals Emergence of improved varieties of maize (Zea mays L.) as affected by different soil types and planting depths in Chitwan, Nepal

2013 ◽  
Vol 1 ◽  
pp. 23-27
Author(s):  
MN Paudel
Keyword(s):  
Zea Mays ◽  
Seed Quality ◽  
Zea Mays L ◽  
Sandy Loam ◽  
Seed Vigor ◽  
Soil Types ◽  
Red Clay ◽  
Maize Varieties ◽  
Emergence Percentage ◽  
Population Maintenance

Improved open pollinated maize (Zea mays L.) varieties exhibit different emergence reaction as a result of either inferior seed quality or affected by agronomic practices of maize planting. To address problem of low emergence percentage of maize varieties, an experiment was laid out in factorial design under two types of soil (red clay and sandy loam), three level of depth of sowing (7, 14 and 21 cm) for Rampur Composite, Manakamana-1 and Arun-2 maize varieties in Rampur, Chitwan for representing main season (May-August). The result of the experiment revealed that emergence count was highly significant for soil types and depth of sowing among the maize varieties tested. Manakamana-1 expressed lowest percentage (20 and 29%) followed by Arun-2 (22 and 33%) and Rampur Composite (24 and 39%) of emergence under red clay and sandy loam soils, respectively. Likewise, emergence count at 10 days after sowing was recorded highly significant for depth of showing indicating that irrespective of varieties higher the planting depth lower the emergence count.. There was a positive relation between depth of planting and length of mesocotyle resulting loss of seed vigor which furnished low emergence of the maize varieties. It is suggested that depth of sowing affect emergence percentage which consequently have effects on plant population maintenance. Hence, it was concluded that sowing below 7cm deep is not feasible for the tested varieties under red clay and sandy loam soils. DOI: http://dx.doi.org/10.3126/ajn.v1i0.7539 Agronomy Journal of Nepal (Agron JN) Vol. 1: 2010 pp.23-27

Some factors influencing electrolyte leakage from maize (Zea mays L.) kernels

1991 ◽  
Vol 1 (1) ◽  
pp. 15-20 ◽  
Author(s):  
H. Bruggink ◽  
H. L. Kraak ◽  
M. H. G. E. Dijkema ◽  
J. Bekendam
Keyword(s):  
Zea Mays ◽  
Moisture Content ◽  
Electrolyte Leakage ◽  
Zea Mays L ◽  
Mechanical Damage ◽  
Kernel Weight ◽  
Conductivity Measurements ◽  
Factors Influencing ◽  
Quality Testing ◽  
Maize Kernels

AbstractEven though the embryo of a maize (Zea mays L.) kernel contributes relatively little to total kernel weight, it is a main source of electrolytes which leach from the kernel during imbibition. Ageing of maize kernels for 18 days at 40°C and a moisture content of about 15% results in an increase of electrolyte leakage which almost exclusively originates from the embryo. The effect of ageing is most apparent after prolonged periods of imbibition. Mechanical damage increases leakage early during imbibition, the effect of damage being considerably larger for aged than for unaged kernels. The large amount of electrolytes measured after the first hour of imbibition of undamaged kernels comes mainly from the pericarp. The electrolyte content of the pericarp is variety dependent and may interfere with quality testing by conductivity measurements.

scholarly journals PREDICTION OF THE MOISTURE CONTENT OF EASTERN CANADIAN CORN USING MEASUREMENTS OF CAPACITANCE AND TEST WEIGHT

1989 ◽  
Vol 69 (1) ◽  
pp. 109-119
Author(s):  
J. C. BABB ◽  
C. J. DEMPSTER ◽  
R. J. WALLIS
Keyword(s):  
Zea Mays ◽  
Moisture Content ◽  
Regression Model ◽  
Zea Mays L ◽  
Test Weight ◽  
Coefficient Of Determination ◽  
Statistical Regression ◽  
Conversion Table ◽  
Grain Moisture ◽  
The Difference

A statistical regression model for rapid prediction of moisture content based on measurements of dielectric capacitance and test weight was developed for eastern Canadian corn (Zea mays L.). For 336 samples of the 1986 crop, dielectric readings were determined with a Model 919 grain moisture meter, test weight values with an Ohaus half-litre measure and moisture content values by a single-stage air-oven procedure. The regression model, which incorporates linear terms for dielectric reading and test weight plus an interaction term which is a product of the two, is an excellent predictor of corn moisture as indicated by analysis of the residuals and by the high value of the coefficient of determination (R2 = 0.95) and low value of the standard error of estimate (SEE = 0.85). Although the relationship between moisture content and dielectric reading for Ontario samples differed from that for Quebec samples, the proposed regression model helped to compensate for the difference. This model was also effective in predicting moisture content for 365 samples of 1987-crop eastern Canadian corn. As well, it yielded a better fit to 1986–1987 crop data than did the dielectric-based regression model used in CGC Corn Moisture Conversion Table No. 9.Key words: Zea Mays L., predicting corn moisture, Model 919 meter, capacitance, test weight, dielectric

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