Scientific Papers Series A. Agronomy

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to separate the effects of genotype, environment and genotype x environment on DDR. Figure 1. Voltcraft FM-200 Humidity meter, produced by Volcraft, UK Figure 2. Measuring grain moisture with Voltcraft FM- 200 Humidity meter, trough the husks RESULTS AND DISCUSSIONS Means, amplitudes of variation and coefficients of variation (CV) of DDIND, obtained in all experiments during 2010-2012 are shown in Table 3. Relative large amplitudes of variation were registered, roughly indicating the existence of significant differences among tested genotypes. Relative low values of the coefficients of variation presented in Table 3 suggest a good quality and uniformity of the data used. In Table 4, p main variance components and their F values and probabilities of DDIND are presented. Data showed that DDIND computed with EPGM had a large degree of precision and that a significant part of the DDIND variation was due to genotypic variations in all analyzed experiments, suggesting that real differences in genotype could be detected by utilization of DDIND to estimate the DDR. The differences in DDR expressed as DDIND were used for a better characterization and selection of the experimental genotypes. Table 3. Means, amplitudes of variation and coefficients of variation (CV) of DDIND, 2010-2012 Exp. Mean Amplitude CV % 10R3H -1.049 -0.2208_-1.5529 17.50 10DPI -1.105 -0.4324_-1.6044 12.20 11TCNSH -1.182 -0.7427_-2.0457 4.37 11TCSSH -1.149 -0.736_-2.0808 5.70 11R3H -1.066 -0.4917_-2.2612 5.41 11DPI -1.852 -0.9019_-2.7486 6.27 12R3H -1.215 -0.7401_-1.6126 5.60 12R1H -1.189 -0.4877_-1.9199 6.12 12DPI -1.215 -0.7401_-1.6126 9.6 Table 4. ANOVA results: main variance components and their F values and probabilities of DDIND, 2010-2012 Location Genotype Loc X Genotype Error Exp. Mean Sq. F Value Prob Mean Sq. F Value Prob Mean Sq. F Value Prob Mean Sq. 10R3H 0.234 6.956 0.000 0.034 10DPI 5.854 31.679 0.001 0.144 7.958 0.000 0.071 3.895 0.000 0.018 11TCNSH 7.013 871.930 0.000 0.145 54.406 0.000 0.106 39.723 0.000 0.003 11TCSSH 21.340 1583.654 0.000 0.395 91.827 0.000 0.349 81.209 0.000 0.004 11R3H 0.237 69.73 0.000 0.794 326.999 0.000 0.541 161.667 0.000 0.003 11DPI 51.014 3605.133 0.000 0.022 16.600 0.000 0.158 11.707 0.000 0.013 12R3H 0.142 30.564 0.000 0.005 12R1H 0.171 32.176 0.000 0.005 12DPI 0.299 118.617 0.000 0.003 CONCLUSIONS Utilization of Voltcraft FM-200 Humidity meter and of the calibration curves represented a reliable and efficient method to assess nondestructively the grain moisture on field corn plants. 251
DDIND, the selection index for measuring DDR was efficient in detecting significant real differences among genotypes. A strong interaction genotype x environment has been estimate, as expected. Addition future studies are necessary to to see the extend in which DDIND is efficient in selecting hybrids with early generation superior commercial hybrids, with a fast DDR. REFERENCES Aldrich S.R., Scott W.O., Leng E.R., 1975. Modern corn production. A and L Publication, Champaign, IL. Baron V.S., Daynard T.B., 1984. Factors affecting grain dry-down in early-maturing European and Canadian corn hybrids. Ca J. Plant Sci. 64, p. 465-747. Baute T., Hayes A., McDonald I., Reid K., 2002. Agronomy guide for field crops. Publication 811. The Ontario Ministry of Agriculture, Food and Rural Affairs. Cavalieri A.J., Smith O.S., 1985 Grain filling and field drying of a set of maize hybrids released from 1930- 1982. Crop Sci. 25, p. 856-860. Crane P.L., Miles S.R., Newman J.E., 1959. Factors associated with varietal differences in rate of field drying in corn. Agron. J. 51, p. 318-320. Cross H.Z., 1985. A selection procedure for ear drying rates in maize (Zea mays L.). Euphytica 34:409-418. Cross H.Z., Kabir K.M., 1989. Evaluation of field drydown rates in early maize. Crop Sci. 29, p. 54-58. De-Jager B., Roux C.Z., Kuhn H.C., 2004. An evaluation of two collections of South African maize (Zea mays L.) germplasm:2. The genetic basis of dry-down rate. South African J. Plant Soil 21, p. 120-122. Eckert D.J., 1978. Growing drier corn for the conservation of energy. Cooperative Extension Service, The Ohio State University, Bul. 645. Hallauer A.R., Russell W.A., 1962. Estimates of maturity and its inheritance in maize. Crop Sci. 2, p. 289–294. Hellevang K.J., Reff T., 1987. Calculating grain drying cost. AE-923. NDSU Extension Service, North Dakota StateUniversity. http://www.ag.ndsu.nodak.edu/abeng/pdffiles/ae923. pdf. Hellevang K.J., 2004. Post-harvest tips for late maturing corn. NDSU Extension Service, North DakotaStateUniversity http://www.ext.nodak.edu/county /griggs/agriculture/2004agalerts/08-18-04.htm. Hiks D.R., Geadelmann J.L., Peterson R.H., 1976. Drying rates of frosted maturing maize. Agron. J. 68, p. 452-455. Hillson, M.T., and L.H. Penny. 1965. Dry matter accumulation and moisture loss during maturation of corn grain (Zea mays). Agron. J. 57, p. 150–153. Kang M.S., Colbert T.R., Zuber M.S., Horrocks R.D., 1975. Grain moisture loss as related to drydown rates in corn. p. 57. In Agronomy Abstracts. ASA, Madison, WI. Kang M.S., Zuber M.S., Krause G.F., 1983. Path coefficient analyses of grain yield and harvest grain moisture in maize. trop. Agric. (Trinidad) 60, p. 253- 256. Kang M.S., Zuber M.S., Colbert T.R., Horrocks R.D., 1986. Effects of certain agronomic traits on and relationship between rates of grain-moisture reduction and grain fill during the filling period in maize. field Crops Res. 14, p. 339-347. Kondapi N., Kang M.S., Zhang Y., Deng X., 1993. Genetics of grain dry down rate in corn. p. 91-92. In Agronomy Abstracts. ASA, Madison, WI. Lackey R., 2008. Corn energy value-A comparison of harvesting corn as shelled dried corn, high moisture corn, high moisture cob corn (cob meal) and corn silage. Ministry of Agriculture Food and Rural Affairs. http://www.omafra.gov.on.ca/english/livestock/beef/ news/vbn1108a2.htm. Nass H.G., Crane P.L., 1970. Effects of endosperm mutants on drying rates in corn. Crop Sci. 10, p. 141- 144. Newton S.D., Eagles H.A., 1991. Development traits affecting time to low ear moisture in maize. Plant Breed. 106, p. 58-67. Purdy J.L., Crane P.L., 1967. Inheritance of drying rate in mature corn (Zea mays L.). Crop Sci. 7, p. 294- 297. Purdy J.L., Crane P.L., 1967. Influence of pericarp on differential drying rate in mature corn (Zea mays L.). Crop Sci. 7, p. 379-381. Ragai H., Loomis W.E., 1954. Respiration of maize grain. Plant Physiol. 29, p. 49-55. Reid L.M., Zhu X., Morrison M.J., Woldemariam T., Voloaca C., Wu J., Xiang K., 2010. A nondestructive method for measuring maize kernel moisture in a breeding program. Maydica 55, p. 163- 171. Schmidt J.L., Hallauer A.R., 1966. Estimating harvest date of corn in the field. Crop Sci. 6, p. 227-231. Stere I., Stere Ioana, Ciocazanu I., Sarca Tr., Stefu E., 1995. Combining ability for grain dry-down rate in maize. Romanian Agricultural Research 4, p. 25-30. Sweeney P.M., Martin S.K. St., Clucas C.P., 1994. Indirect inbred selection to reduce grain moisture in maize hybrids. Crop Sci. 34, p. 391-396. Tollenaar M., Daynard T.B., 1978. Effect of defoliation on kernel development in maize. Can. J. Plant Sci. 58, p. 207-212. Troyer A.F., Ambrose W.B., 1971. Plant characteristics affecting field drying rate of ear corn. Crop Sci. 11, p. 529–531. Zhang Y., Kang M.S., Magari R., 1996. A diallel analysis of ear moisture loss rate in maize. Crop Sci. 36, p. 1140–1144. 252
Page 1 and 2:
SCIENTIFIC PAPERS SERIES A. AGRONOM
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University of Agronomic Sciences an
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SUMMARY SOIL SCIENCES Variation of
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A survey study on determination of
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Effects of different nitrogen forms
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Determine the effect of some cultiv
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SOIL SCIENCES
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K + /Na + ratio that ultimately pre
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ZINC POLLUTION OF SOILS LOCATED INT
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as the result of the plant protecti
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OBTAINING OF HUMATE-BASED LIQUID FE
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an 11.6% mass loss and a 145.5 J/g
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mijloc important de fertilizare ech
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collected on 13/09/2012 at the dept
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Table 3. The Influence of mineral f
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CONCLUSIONS The Hybrid rapeseedseed
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Scientific Papers. Series A. Agrono
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CONCLUSIONS The results have shown
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organic carbon was determined thoug
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THE INFLUENCE OF SOIL TILLING SYSTE
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emerging plant, we recommend using
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at the cellular level of Ni (Bou et
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concentrations in agricultural soil
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Surfaces at the bottom shows higher
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substantial balance that means maxi
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Table 4. Aggregate composition and
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1. The initial parameters of ordina
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Table 8. Modification of the featur
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Abstract Scientific Papers. Series
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the linear correlation coefficient
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CONCLUSIONS For soil polluted with
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50 and 100 mg/kg and appreciated th
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Figure 4. Copper content in soil Fi
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samples collected in northern of fa
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MATERIALS AND METHODS Study areas T
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influenced by heavy metals contamin
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Pankhurst C.E., 1997. Biodeversity
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horizons, color, texture, structure
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From a chemical reaction these soil
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- Organic matter by Tiurin; - pH (H
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RESULTS AND DISCUSSIONS Invertebrat
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of moisture in arable layers, incre
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experimentation. The increase of mo
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THE TRANSITION PERIOD TO THE MARKET
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Activity data Activity data comes f
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Figure 2. The decrease of cultivate
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of nitrous oxide. In: Revised 1996
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Laboratory results have been interp
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The air-mass interferes with the ov
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Under these conditions, Moldavian r
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decreased to near wilting coefficie
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CONCLUSIONS Severe drought that aff
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(temperature and soil moisture, air
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primary cultures analyzed, hybrids
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weeding crops during the growing se
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improper drainage and irrigation (G
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Figure 4. Scores plot of the soil s
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Table 1. Cluster analysis of the st
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DIFFERENTIATION OF FERTILIZATION RA
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Figure 2. Situation and location of
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Statistical data processing For the
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Phosphorus and potassium fertilizer
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30 m. Regarding the formation and d
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considerably less. These facts are
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Table 2. Hydraulic dimensioning Par
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SPATIAL VARIATION OF PHYSICAL CLAY
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Figure 2. Situation and location of
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esistant to high clay content in th
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CONCLUSIONS Described regularities
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ecome widespread and in order to ea
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Table 3. Results of the analysis of
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COMPARISON OF SYSTEMS FOR TAXONOMY
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RESULTS AND DISCUSSIONS Soil types
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underdeveloped cinnamon forest soil
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Figure 8. Content of skeletal fract
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MODEL FOR INVESTIGATION, AMELIORATI
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RESULTS AND DISCUSSIONS Characteris
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terrain is in the composition of a
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Such characteristics require the ne
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Australia) with high resolution nit
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some important medicinal plants of
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RFV = [120 / NDF] × [88.9 - (0.779
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average at Viani - Brila County). A
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Figure 1. Dry above-ground biomass
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County) and 30.29% (CERA 270 hybrid
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phenological stages were found to h
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STUDIES REGARDING THE INFLUENCE OF
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ainfall were able to have a negativ
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Figure 7. Thermo-hydric stress fact
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In Romania is grown a large assortm
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Mainly vitamin C, E and polyphenols
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soluble compounds with antioxidant
Page 202 and 203: primarily the water-soluble antioxi
Page 204 and 205: has a split-split-plot design with
Page 206 and 207: Kovács B., Gyori Z., Prokisch J.,
Page 208 and 209: pays off (Mares et al., 2004; Gonz
Page 210 and 211: Table 3. Tested variants V1 Control
Page 212 and 213: about the inner value of flora. The
Page 214 and 215: MATERIALS AND METHODS Biological ma
Page 216 and 217: Figure 2. Correlation between prote
Page 218 and 219: CONCLUSIONS Production and quality
Page 220 and 221: The following presents several tech
Page 222 and 223: 3. Evolution of total weed number i
Page 224 and 225: RESEARCH ON APPLICATION OF NPK FERT
Page 226 and 227: Also increase production significan
Page 228 and 229: In April 2012, the pre-sowing proce
Page 230 and 231: difference with the hoed control sa
Page 232 and 233: RESULTS AND DISCUSSIONS Data about
Page 234 and 235: Table 7. Proved difference between
Page 236 and 237: Scientific Papers. Series A. Agrono
Page 238 and 239: Table 1. Variance analysis experien
Page 240 and 241: Amongst the three precocity groups,
Page 242 and 243: ACKNOWLEDGEMENTS This study was car
Page 244 and 245: to present genetic sources of resis
Page 246 and 247: REFERENCES Antonova T.S., Araslanov
Page 248 and 249: Halstedii is necessary to identify
Page 250 and 251: EFFICIENCY OF UTILIZATION OF ASELEC
Page 254 and 255: INFLUENCE OF THE CLIMATIC CONDITION
Page 256 and 257: In 2012, at NARDI Fundulea, data fr
Page 258 and 259: parameter from the treated variants
Page 260 and 261: Table 6. The effectiveness of some
Page 264 and 265: Table 1. Probability of the meteoro
Page 266 and 267: At 50% DI in EOF, only a small part
Page 268 and 269: This was probably due to the specif
Page 270 and 271: under deficit irrigation. This prov
Page 272 and 273: RESULTS AND DISCUSSIONS Intervals w
Page 274 and 275: productions from one year to anothe
Page 276 and 277: epresented by soil ecologization an
Page 278 and 279: new created ones as a basic conditi
Page 280 and 281: The highest number of kernels per e
Page 282 and 283: Table 8. Average weight of thousand
Page 284 and 285: CONCLUSIONS The drought from the ye
Page 286 and 287: IWM as appropriate, necessary studi
Page 288 and 289: 100% in the first 6 weeks of growth
Page 292 and 293: locules boll -1 (0.02), seeds locul
Page 294 and 295: Bhutto H., Baloch M.J., Yousaf M.,
Page 296 and 297: Table 4. GCA effects for morpho-yie
Page 298 and 299: MATERIALS AND METHODS This study wa
Page 300 and 301: vegetation of each of the swaths, i
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Sudangrass hybrids depending on the
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The parameters of biomass and dry m
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transplanting and ½ applied at fir
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Fertilization Forms Table 2. The me
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growing agricultural farms; evoluti
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In this area, priority must be to p
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soybean seeds are found farms that
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are a better material for haploid i
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Figure 6. Embryo and endosperm mark
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RESEARCHES CONCERNING THE INFLUENCE
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Table 1. The influence of seeding d
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Exagone hybrid. Thus, when sown at
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Table 9. The influence of sowing di
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MATERIALS AND METHODS In order to k
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Table 3. Genotype influence on whea
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Romanian varieties from the experim
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Table 2. Efficacy of some fungicide
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ROMANIAN WHEAT - STRATEGIC PRODUCT
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exceeded 2,000 thou ha, and maximum
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Values over 26% wet gluten were det
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effective and can build a significa
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grassland. This method is commonly
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RESULTS REGARDING DROUGHT RESISTANC
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average for this period is 170.6 mm
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Hybrid FAO grupe Table 2. The main
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length has lowest values at the unt
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CHARACTERISTICS OF SECOND GENERATIO
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developed in Dobrudzha Agricultural
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Table 5. Cytological characteristic
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We can see in the table that all li
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RESULTS AND DISCUSSIONS Mean compar
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Table 4. Statistical interpretation
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COMPARATIVE STUDY OF CONVENTIONAL A
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Improved sunflower hybrids for use
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differences in production to contro
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International Center for Agricultur
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Table 3. Evaluation of Genotypes fo
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Table 1. Characteristics of city sl
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Table 4. Amount of the rainfall dur
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ECOLOGICAL AGRICULTURE
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maize had a density of 5 plants/m 2
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CONCLUSIONS In terms of productivit
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amino acids, such as 4-hydroxyisole
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Table 5. Determining chlorophyll pi
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PROPOSALS ON TECHNOLOGY OF MOVING A
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These are the main technical charac
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FUNGAL BIODIVERSITY AND CLIMATE CHA
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Climate change effects and Dobrogea
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Figure 10. Pure culture of benefici
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MANAGEMENT OF BENEFICIAL MICROORGAN
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microorganisms DSMZ Braunschweig -
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Protocol of research and reporting
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“HERBAL MEDNET” AN INNOVATIVE A
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Figure 2. Value of global herbal ma
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Figure 3. The Allelopathy effect on
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AGRICULTURAL ENGINEERING AND RENEWA
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Research was also aimed at observin
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Leaf production of dry matter per h
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cooking oil and jatropha oil (Vonsh
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machines, many different fat extrac
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Table 4. The nutrient content Conte
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Figure 21. Dunaliella salina sp. ch
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for the decline is the growing numb
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Tractor power seemed the obvious wa
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Figure 4 shows that in 17 post war
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their employability, help raise the
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. Scientific Papers. Series A. Agro
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through the sprinkler irrigation. A
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Figure 5. Overlapping sprinklers wi
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CLIMATE CHANGE AND AGROMETEOROLOGIC
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Bulgaria to the use of agroclimatic
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Figure 9. Duration of the period so
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Figure 18. Evapotranspiration of wi
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RESULTS AND DISCUSSIONS After scari
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The influence of the texture on the
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Figure 6. Area of land planted with
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APPLIED BIOLOGY IN AGRICULTURAL SCI
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MATERIALS AND METHODS Researches we
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RESEARCHES REGARDING EVOLUTION OF S
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gradually reduce towards the end of
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According to that, the aspect of th
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etween classes of variation with ma
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Table 2. Average heights of Lycium
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V 1 V 2 Table 6. Average shoot leng
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Table 13. Average dry substance of
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centrifuge (7000 rev/min. during 20
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7, Streptomyces sp. 9, and Streptom
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laboratory of Biology, USAMV Buchar
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SOME NEW SPECIMENS FOR ZOOLOGICAL T
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New reptiles for our teaching colle
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Figure 1. Scatter plot of odontosty
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Table 4. Measurements of Xiphinema
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Malus pumila and P. avium are new h
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- the mean, minimum and maximum mon
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The monthly mean of the flow highli
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longer in balance with the existing
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ecording the encountered plant spec
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Mediterranean (3), Balkan (1), Cent
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Table 3. Segetal species of the Top
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of sugar/flower and the honey poten
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Territorial concentration of mellif
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CONCLUSIONS In Giurgiu County there
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farm (Awake, 1998). Rahman et al. 2
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Table 3 shows that there was a high
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RESULTS AND DISCUSSIONS x, k, r, R
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Figure 3. Us-Pressure Relations of
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