Scientific Papers Series A. Agronomy

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Bhutto H., Baloch M.J., Yousaf M., 2001. Diallel analysis for estimating combining ability of quantitatively inherited traits in upland cotton. Pak. Journal of Biological Sciences, 1, p. 89-91. Chinchane V.N., Kale U.V., Chandankar G.D., Chinchane B.N., Sarang D.H., 2002. Studies on combining ability in cotton (G. hirsutum). Annals Plant Physiology, 16, p. 160-165. Coyle G.G., Smith C.W., 1997. Combining ability for within-boll yield components in cotton, G. hirsutum. Crop Science, 37, p. 1118-1122. Griffing B., 1956. Concept of GCA and SCA in relation to diallel system. Australian Journal Biological Sciences, 9,p. 463-493. Hague S.S., Gannaway J.R., Boman R.K., 2008. Combining ability of upland cotton, G. hirsutum L., with traits associated with sticky fiber. Euphytica, 164, p. 75-79. Hassan G., Mahmood G., Hayatullah, 2000. Combining ability in inter-varietal crosses of upland cotton. Sarhad Journal of Agriculture, 16 (4), p. 407-410. Hassan G., Mahmood G., Khan N.U., Razzaq A., 1999. Combining ability and heterobeltiotic estimates in a diallel cross of cotton (G. hirsutum L.). Sarhad Journal of Agriculture, 15, p. 563-568. Khan M.A., Masood A., Sadaqat H.A., Cheema KL., 1991. Implication of combining ability and its utilization in cotton (G. hirsutum L.). Pak. Journal of Agricultural Research, 29(2), 167-175. Khan N.U., 2003. Genetic analysis, combining ability and heterotic studies for yield, its components, fiber and oil quality traits in upland cotton (G. hirsutum). Ph.D Dissertation, Sindh Agric. Univ. Tandojam, Pakistan. Khan N.U., Hassan G., Kumbhar M.B., Parveen A., Aiman U., Ahmad W., Shah S.A., Ahmad S., 2007b. Gene action of seed traits and its oil content in upland cotton (G. hirsutum L.). SABRAO Journal of Breeding Genetics, 39, p. 17-30. Khan N.U., Hassan G., Kumbhar M.B., Marwat K.B., Khan M.A., Parveen A., Aiman U., Saeed M., 2009a. Combining ability analysis to identify suitable parents for heterosis in seed cotton yield, its components and lint % in upland cotton. Industrial Crops & Products, 29, p. 108-115. Khan N.U., Hassan G., Kumbhar M.B., Ghaloo S.H., 2005. Combining ability analysis for morphological and yield traits in intra-G.hirsutum crosses. SAARC Journal of Agriculture, 3, p. 211-232. Khan N.U., Hassan G., Kumbhar M.B., Kang S., Khan I., Parveen A., Aiman U., 2007c. Heterosis and inbreeding depression and mean performance in segregating generations in upland cotton. European Journal of Scientific Research, 17, p. 531-546. Khan N.U., Abro H.K., Kumbhar M.B., Hassan G., Mahmood G., 2000. Study of heterosis in upland cotton-II. Morphology and yield traits. The Pak. Cottons, 44, p. 13-23. Khan N.U., Marwat K.B., Hassan G., Farhatullah, Batool S., Makhdoom K., Ahmad W., Khan H.U., 2010. Genetic variation and heritability for cottonseed, fiber and oil traits in G.hirsutum. Pak. Journal of Botany, 42(1), p. 615-625. Khan S.A., 2010. Combining ability analysis in upland cotton (G. hirsutum L.). M.Sc (Hons.) Thesis, Khyber Pakhtunkhwa Agril. Univ. Peshawar, Pakistan. Lukonge E.P., Labuschagne M.T., Herselman L., 2008. Combining ability for yield and fibre characteristics in Tanzanian cotton germplasm. Euphytica, 161(3), p. 383-389. Makhdoom K., 2011. Combining ability estimates through line x tester analysis and heritability in upland cotton. M.Sc (Hons.) Thesis, Khyber Pakhtunkhwa Agril. Univ. Peshawar, Pakistan. Makhdoom K., Khan N.U., Batool S., Bibi Z., Farhatullah, Khan S., Mohammad F., Hussain D., Raziuddin, Sajjad M., Khan N., 2010. Genetic aptitude and correlation studies in Gossypium hirsutum L. Pak. Journal Botany, 42(3), p. 2011- 2017. Muthu R., Kandasamy G., Raveendran T.S., Ravikesavan R., Jayaramachandran M., 2005. Combining ability and heterosis for yield traits in cotton (G. hirsutum L.). Madras Agriculture Journal, 92, p. 17-22. Sayal O.U., Jatoi S.A., Baloch M.S., Hussain I., 1997. Estimation of combining ability for quantitative traits in G. hirsutum L. using Griffings technique of diallel. Scientific Khyber, 10(2), p. 13-21. Singh R.K., Chaudhary B.D., 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers Ludhiana, New Delhi. p. 102-164. Soomro A.R., Kalhoro A.D., 2000. Hybrid vigor (F 1 ) and inbreeding depression (F 2 ) for some economic traits in crosses between glandless and glanded cotton. Pak. Journal of Biological Sciences, 3, p. 2013-2015. Sprague G.F., Tatum L.A., 1942. General and specific combining ability in single crosses of corn. Journal of American Society of Agronomy, 34, p. 923-932. Steel R.G.D., Torrie J.H., 1980. Principles and procedures of statistics, a biological approach, 2 nd ed. McGraw Hill, Inc. New York. Tuteja O.P., Puneet L., Sunil K., 2003. Combining ability analysis in upland cotton (G. hirsutum) for yield and its components. Indian Journal Agricultural Sciences, 73(12), p. 671-675. Yuan Y., Zhang T., Guo W., Pan J., Kohel R.J., 2002. Heterosis and gene action of boll weight and lint percentage in high quality fiber property varieties in upland cotton. Acta Agronomica Sinica, 28, p. 196- 202. 293
Table 1. Mean squares for ANOVA and combining ability in a 6 × 6 F1 diallel cross of upland cotton Mean Squares Parameters ANOVA Combining Ability Reps. Genotypes Error GCA SCA Rec. Error Days to first flowering 13.36 29.76** 7.57 10.67** 10.42** 10.43** 2.55 Locules boll -1 0.07 0.02** 0.01 0.00 N.S 0.02** 0.00 N.S 0.00 Seeds locule -1 0.06 0.87** 0.14 0.12* 0.27** 0.36** 0.05 Lint% 0.15 9.92** 0.24 5.12** 2.22** 3.79** 0.08 Seed cotton yield plant -1 1883.37 4798.73** 1275.21 5566.19** 1390.01** 495.30 N.S 425.25 ** = Significant at P£0.05 & P£0.01, N.S. = Non-significant Table 2. Mean performance for morpho-yield traits in a 6 × 6 F1 diallel cross of upland cotton Parents and their F 1 Hybrids Days to Flowering Locules boll -1 Seed locule -1 Lint% Seed cotton yield plant -1 (g) CIM-446 62.67 4.60 7.35 33.28 125.86 CIM-496 59.67 4.57 6.49 37.42 85.69 CIM-499 57.33 4.43 6.45 32.73 46.77 CIM-506 58.33 4.63 6.62 35.68 109.56 CIM-554 57.67 4.60 6.56 34.49 101.36 CIM-707 57.67 4.63 6.93 35.66 81.51 CIM-446 × CIM-496 55.33 4.74 6.99 34.71 165.19 CIM-446 × CIM-499 57.00 4.76 7.22 33.44 84.54 CIM-446 × CIM-506 57.33 4.79 7.21 30.74 140.07 CIM-446 × CIM-554 57.33 4.73 7.91 34.69 176.87 CIM-446 × CIM-707 56.67 4.61 6.99 32.58 146.42 CIM-496 × CIM-446 57.00 4.61 7.43 32.30 172.00 CIM-496 × CIM-499 54.00 4.80 7.03 34.69 66.24 CIM-496 × CIM-506 55.33 4.70 7.31 33.04 85.42 CIM-496 × CIM-554 52.67 4.67 7.39 37.79 112.83 CIM-496 × CIM-707 52.67 4.83 6.69 35.51 77.75 CIM-499 × CIM-446 52.33 4.76 8.11 34.94 75.16 CIM-499 × CIM-496 55.00 4.77 6.36 37.32 118.20 CIM-499 × CIM-506 62.00 4.64 7.61 36.28 91.96 CIM-499 × CIM-554 57.67 4.75 6.87 33.53 101.68 CIM-499 × CIM-707 57.00 4.94 7.22 35.21 53.69 CIM-506 × CIM-446 59.67 4.72 7.40 31.95 178.50 CIM-506 × CIM-496 57.33 4.62 7.62 36.15 104.38 CIM-506 × CIM-499 58.33 4.72 7.19 35.00 121.88 CIM-506 × CIM-554 65.33 4.76 8.01 33.28 190.88 CIM-506 × CIM-707 54.00 4.62 7.42 30.84 75.61 CIM-554 × CIM-446 53.00 4.83 7.63 33.48 172.84 CIM-554 × CIM-496 52.00 4.80 6.16 33.57 89.97 CIM-554 × CIM-499 52.67 4.75 6.17 37.80 113.15 CIM-554 × CIM-506 52.33 4.77 6.02 34.45 151.29 CIM-554 × CIM-707 52.67 4.78 7.08 38.78 130.05 CIM-707 × CIM-446 53.67 4.70 6.88 34.26 121.35 CIM-707 × CIM-496 52.67 4.85 7.95 31.69 149.13 CIM-707 × CIM-499 58.00 4.78 7.36 34.16 78.90 CIM-707 × CIM-506 53.00 4.66 6.59 35.05 69.44 CIM-707 × CIM-554 59.00 4.62 7.04 33.25 130.26 L.S.D (0.05) 4.48 0.18 0.62 0.79 64.05 Table 3. Genetic components of variance due to GCA, SCA and reciprocals in a 6 × 6 F1 diallel cross of upland cotton Components of Variation Day to flowering Locules bolls -1 Seeds locule -1 Lint % Seed cotton yield plant -1 0.04 -0.001 -0.01 0.24 350.60 G.C.A (0.36) (-16.66) (-3.22) (7.04) (25.57) 1.24 560.18 S.C.A 4.56 (41.16) 0.007 (116.66) 0.12 (38.71) (36.36) (40.86) 1.85 35.02 Reciprocals 3.93 (35.47) -0.0001 (0.00) 0.15 (48.39) (54.25) (2.55) 0.00 0.08 425.25 Error 2.55 (23.01) 0.05 (16.12) (0.00) (2.35) (31.02) 11.08 0.006 0.31 3.41 1371.05 Total (100) (100) (100) (100) (100) 294
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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
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primarily the water-soluble antioxi
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has a split-split-plot design with
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Kovács B., Gyori Z., Prokisch J.,
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pays off (Mares et al., 2004; Gonz
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Table 3. Tested variants V1 Control
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about the inner value of flora. The
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MATERIALS AND METHODS Biological ma
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Figure 2. Correlation between prote
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CONCLUSIONS Production and quality
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The following presents several tech
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3. Evolution of total weed number i
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RESEARCH ON APPLICATION OF NPK FERT
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Also increase production significan
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In April 2012, the pre-sowing proce
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difference with the hoed control sa
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RESULTS AND DISCUSSIONS Data about
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Table 7. Proved difference between
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Table 1. Variance analysis experien
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Amongst the three precocity groups,
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ACKNOWLEDGEMENTS This study was car
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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 252 and 253: to separate the effects of genotype
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 262 and 263: Scientific Papers. Series A. Agrono
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
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Page 292 and 293: locules boll -1 (0.02), seeds locul
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
Page 302 and 303: Sudangrass hybrids depending on the
Page 304 and 305: The parameters of biomass and dry m
Page 306 and 307: transplanting and ½ applied at fir
Page 308 and 309: Fertilization Forms Table 2. The me
Page 310 and 311: growing agricultural farms; evoluti
Page 312 and 313: In this area, priority must be to p
Page 314 and 315: soybean seeds are found farms that
Page 316 and 317: are a better material for haploid i
Page 318 and 319: Figure 6. Embryo and endosperm mark
Page 320 and 321: RESEARCHES CONCERNING THE INFLUENCE
Page 322 and 323: Table 1. The influence of seeding d
Page 324 and 325: Exagone hybrid. Thus, when sown at
Page 326 and 327: Table 9. The influence of sowing di
Page 328 and 329: MATERIALS AND METHODS In order to k
Page 330 and 331: Table 3. Genotype influence on whea
Page 332 and 333: Romanian varieties from the experim
Page 334 and 335: Abstract Scientific Papers. Series
Page 336 and 337: Table 2. Efficacy of some fungicide
Page 338 and 339: ROMANIAN WHEAT - STRATEGIC PRODUCT
Page 340 and 341: exceeded 2,000 thou ha, and maximum
Page 342 and 343: 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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