Scientific Papers Series A. Agronomy

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locules boll -1 (0.02), seeds locule -1 (0.27), lint % (2.22) and seed cotton yield plant -1 (1390.01). The mean squares due to reciprocals were also found highly significant for three traits (Table 1) i.e. days to first flowering (10.43), seeds locule (0.36) and lint % (3.79). The traits locules boll and seed cotton yield plant -1 showed non-significant maternal effects. Significant mean squares for GCA and SCA for seed cotton yield and other yield contributing traits have been observed by earlier researchers (Baloch et al., 1999; Ali et al., 2000; Hassan et al., 2000; Tuteja et al., 2003; Hague et al., 2008). Overall, the GCA mean squares were greater in magnitude than SCA and reciprocals for three traits viz; days to first flowering (10.67), lint % (5.12) and seed cotton yield plant (5566.19) seems that these trait were controlled by additive genes. The trait locules boll -1 was having maximum SCA mean squares (0.02) as compared to GCA and reciprocals. However, for seed cotton yield plant -1 the SCA mean squares (1390.01) followed the GCA values but greater than reciprocal mean squares. The trait seeds locule -1 was having maximum mean square (0.36) due to reciprocal as compared to GCA and SCA. Additive type of gene action for most of the traits noticed in upland cotton (Chinchane et al., 2002; Yuan et al., 2002; Khan et al., 2005; Aguiar et al., 2007). Additive genetic effects with enough genetic variability observed for most of the yield traits having effective selection (Lukonge et al., 2008). However, non-additive type of gene action for different yield traits observed by Hassan et al. (1999), Muthu et al. (2005) and Ahuja and Dhayal (2007) for yield related traits and lint%. Such contradictions may be due to different genetic backgrounds of breeding material used under various environmental conditions. In case of genetic components of variance (Table 3), the magnitude of SCA variances were found greater than GCA and reciprocals for three parameters i.e. days to first flowering (4.56), locules boll -1 (0.007) and seed cotton yield plant -1 (560.18). In reciprocal variances, the traits viz; seeds locule -1 (0.15) and lint % (1.85) revealed maximum genetic variances as compared to GCA and SCA. In seed cotton yield, the GCA variance (350.60) followed the SCA (560.18) and found greater than reciprocals. However, none of the trait showed promising variances due to GCA. Significant genetic variances due to GCA and SCA were also noted by Baloch et al. (1997 & 1999), Ali et al. (2000) and Hassan et al. (2000) for different morpho-yield traits in upland cotton. Parent cultivar CIM-446 superseded all other cultivars for GCA (Table 4) and showed highest GCA effects for seeds locule -1 (0.14) and seed cotton yield plant -1 (26.69), and found 2 nd ranking genotype for locules boll -1 (0.01). Cultivar CIM-554 was having maximum GCA effects for locules boll -1 (0.02) and was the 2 nd best cultivar for lint% (0.43) and seed cotton yield (19.85). Cultivar CIM-496 was found 3 rd ranking cultivar by having maximum GCA effects for lint % (0.71), desirable negative GCA effects for days to first flowering (-1.01) and 2 nd top values for locules boll -1 (0.01) and seeds locule -1 (0.05). The performance of cultivars CIM-499, CIM-506 and CIM-707 was poor and showed maximum negative GCA effects for majority of the traits. Results also confirmed that parent cultivars CIM-446 and CIM-554 were best general combiners, followed by CIM-496. The positive SCA effects ranges for different traits (Table 5) were 0.04 to 0.13 for locules boll -1 , 0.02 to 0.68 for seeds locule -1 , 0.06 to 0.48 for lint%, 4.32 to 58.58 for seed cotton yield plant -1 and desirable negative SCA effects for days to first flowering (-0.27 to-3.21). In case of SCA effects (Table 5), the F 1 hybrid CIM-446 × CIM-499 had highest SCA effects for lint% (0.48) and desirable negative SCA (- 2.06) for days to first flowering. The cross combination CIM-446 × CIM-554 found best for seeds locule -1 (0.68), while for locule boll -1 and seed cotton yield plant -1 the crosses CIM- 496 × CIM-707 and CIM-506 × CIM-554 had highest SCA effects of 0.13 and 58.58, respectively. Most of the crosses with high SCA have at least one highest GCA parent (CIM-446, CIM-554 and CIM-496). Therefore, high × low, low × high and in some cases high × high GCA parents performed well in SCA determination and revealed best mean performance. Coyle and Smith (1997), Hassan et al. (2000) and Lukonge et al. (2008) also concluded that parents with maximum GCA found better responsive to produce high yielding hybrids. F 1 hybrids with high heterosis 291
were also associated with higher inbreeding depression (Khan et al., 2000; Soomro and Kalhoro, 2000; Basal and Turgut (2003); Khan et al., 2007c). Therefore, after analyzing the F 1 hybrids through combining ability with reasonable SCA variance, the medium type of heterosis in such specific cross combinations may have some stability and such promising F 1 hybrids can be used for hybrid cotton productions. The F 1 reciprocal cross (CIM-554 × CIM-506) having one good general combiner, also manifested maximum reciprocal effects for two traits (Table 6) viz; seeds locule -1 (1.00) and seed cotton yield plant -1 (51.46). The remaining traits were also controlled by such reciprocal crosses which involve at least one general combiner as one of the parents and manifested maximum reciprocal effects for locules boll -1 (0.10; CIM-554 × CIM-499), lint% (2.11; CIM-554 × CIM-496) and highest desirable negative reciprocal effects (-3.17) were shown by cross CIM-707 × CIM-554 for days to first flowering. In combining ability the maternal effects which came through cytoplasmic effects cannot be ignored also and the F 1 hybrids having desirable reciprocal effects should also be kept under consideration during future breeding. Parental cultivars with best GCA i.e. CIM-446, CIM-554 followed by CIM-496, and their utilization as one of the parents produced excellent F 1 hybrid combinations and performed well in GCA and SCA determination in addition to excellent mean performance for majority of the traits. Results also revealed that majority of traits governed by additive genes and partially by non-additive gene action and selection in such promising population could be effective in early segregating generations. The F 1 hybrids having extraordinary performance could also be used as such (seed source for F 2 crop) for hybrid cotton production to boost up the seed cotton yield as also mentioned by Basal and Turgut (2003), Muthu et al. (2005) and Khan et al. (2007c) that high SCA effects associated with standard heterosis. CONCLUSIONS Best general combiners i.e. CIM-446, CIM-554 followed by CIM-496 and their use as 292 paternal/maternal parent in F 1 hybrids viz; CIM-446 × CIM-499, CIM-446 × CIM-554, CIM-496 × CIM-707 and CIM-506 × CIM-554 performed well with highest SCA determination. However, it concluded that combined performance of F 1 and F 2 hybrids could be a good selection criterion for assortment of most promising populations to be utilized either as F 2 hybrids or as a source population for further selection in advanced generations. REFERENCES Aguiar P.A.D., Penna J.C.V., Freire E.C., Melo L.C., 2007. Diallel analysis of upland cotton cultivars. Crop Breeding Applied Biotechnology, 7, p. 353- 359. Ahuja S.L., Dhayal L.S., 2007. Combining ability estimates for yield and fiber quality traits in 4 × 13 line × tester crosses of G. hirsutum. Euphytica., 153, p. 87-98. Ali M., Kalwar M.S., Baloch G.M., Baloch M.K., 2000. Breeding implications from a diallel analysis for yield and yield components in cotton. Pak. Journal of Agriculture Agricultural Engineering & Veterinary Sciences, 16, p. 14-18. Badr S.S.M., 2003. Evaluation of some Egyptian cotton varieties by the yield and seven methods of earliness of crop maturity measurements. Egyptian Journal Agricultural Research, 81, p. 671-688. Baloch M.J., Lakho A.R., Bhutto H.U., 1999. Line-tester analysis for estimating genetic components of some quantitative traits in G. hirsutum. Sindh Balochistan Journal of Plant Sciences, 1, p. 28-34. Baloch M.J., Lakho A.R., Bhutto H.U., Memon A.M., Panhwar G.N., Soomro A.H., 2000. Estimates of combining ability and genetic parameters for yield and fiber traits in upland cotton. Pak. Journal of Biological Sciences, 3(7), p. 1183-1186. Baloch M.J., Bhutto H.U., Lakho A.R., 1997. Combining ability estimates of highly adapted tester lines crossed with pollinator inbreds of cotton (G. hirsutum L.). Pak. Journal of Science & Industrial Research, 40, p. 95-98. Basal H., Turgut I., 2003. Heterosis and combining ability for yield components and fiber quality parameters in a half diallel cotton (G. hirsutum L.) population. Turkish Journal Agriculture & Forestry, 27, p. 207-212. Batool S., 2011. Diallel studies and heritability estimates using Hayman’s approach in upland cotton. M.Sc (Hons.) Thesis, Khyber Pakhtunkhwa Agril. Univ. Peshawar, Pakistan. Batool S., Khan N.U., Makhdoom K., Bibi Z., Hassan G., Marwat K.B., Farhatullah, Mohammad F., Raziuddin, Khan I.A., 2010. Heritability and genetic potential of upland cotton genotypes for morphoyield traits. Pak. Journal of Botany, 42(2), p. 1057- 1064.
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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,
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 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
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Page 288 and 289: 100% in the first 6 weeks of growth
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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
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
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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
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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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