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Articles by Zahide Kocabas
Total Records ( 3 ) for Zahide Kocabas
  Aydan Yilmaz , Suzan Altinok and Zahide Kocabas
  The purpose of this study was to determine, the best seeding rates for corn and soybean for the highest quality of silage. To do this, the field experiments were carried out in randomized block design with 3 replications using corn variety P.32K61 and soybean variety OAC Salem in 2001 and 2002 as materials. They were seeded as monocropping and intercropping in alternated rows with the seeding rates of 100% corn + 0% soybean (SR1), 100% corn + 50% soybean (SR2), 100% corn + 100% soybean (SR3), 50% corn + 50% soybean (SR4), 50% corn + 100% soybean (SR5) and 0% corn + 100% soybean (SR6). The nutriments components, namely, Dry Matter (DM), Crude Ash (CA), Crude Protein (CP), Crude Fat (CF), Crude Cellulose (CC) and cell wall components, namely Neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF) and Acid Detergent Lignin (ADL) were analyzed Before Ensiling (BE) and After Ensiling (AE) in both years. Hemicelluloses, cellulose and lignin were derived from the cell wall components. To determine the silage quality value, the Flieg points were calculated. The silages made using corn grown intercropped with soybean were good or very good quality in terms of physical characteristics. The soybean grown as mono-crop did not achieve high quality silages. The results substantiated that the mono-cropped corn and corn grown together with soybean at the different seeding rates gave rise to high quality silages. The digestibility of the silages mode from corn and soybean after ensiling was higher than that observed before ensiling.
  Aydan Yilmaz , Zahide Kocabas , Elif Ozturk and Dilek Gokceyrek
  The purpose of this study is to investigate the possibilities of calculating Effective Degradability of Dry Matter (EDDM), organic matter (EDO) and crude protein (EDP) by means of the shortest ruminal incubation time. After calculating EDP, EDO and EDDM using 4-72 h ruminal incubation time, the relationship between them and degradability of Dry Matter (DMD), Organic Matter (OMD) and Crude Protein (CPD) measured at 4, 8, 16, 24, 48 and 72 h was investigated by applying simple linear regression analysis. The determination coefficient indicated that 93.9 of variation in EDP for 0.02 h-1 can be adequately explained by CPD measured at the end of 48 h of ruminal incubation (p<0.01). The results indicated that EDP for outflow rate of 0.05 and 0.08 h-1 would be estimated from the CPD measured at 8 h. Moreover, the calculated determination coefficients were 91.7 and 94.6% for outflow rates of 0.05 and 0.08 h-1, respectively, which confirmed that EDO can accurately be calculated by means of the 8th h measurements of OMD (p<0.01). The results also shown that 90% of variation in EDDM, which is a satisfactory amount, can be elucidated by the DMD measurements of 16th h, which states that EDDM for the outflow rate of 0.02 h-1 can be estimated from the DMD measurements taken at the end of 16 h (p<0.01). The determination coefficients were calculated as 92.7 and 97.9% for outflow rates of 0.05 and 0.08 h-1, respectively, indicating that EDDM for 0.05 and 0.08 h-1 would be predicted from the DMD measured at the end of 8 h incubation time.
  Serap Pulatsu , Zahide Kocabas , Akasya Topcu and Yeliz Kasko
  The primary purpose of this study is to examine, whether or not it is possible to predict sediment characteristics namely total inorganic phosphorus (LSTINP), organic phosphorus (LSTORP) and total iron (LSTFe) from overlying water characteristics, namely total filterable orthophosphate (OVTFO) and total iron (OVTFe) and Pore Water characteristics, namely Total Filterable Orthophosphate (PWTFO) and total iron (PWTFe) in an eutrophic lake where there is no phosphorus release. The calculated determination coefficients, especially 0.588 for autumn 2004 and 0.767 for spring 2005, confirmed that the littoral sediment iron was correlated to overlying water phosphorus and iron. The results also confirmed that an adequate amount of variation in sediment characteristics can be explained by the pore water characteristics owing to the fact that they were statistically significant (p<0.01), except for LSTFe in the spring 2005. The results proved that the measured total filterable phosphorus and total iron concentration of the pore water have a more predictive value for phosphorus concentrations in the littoral sediment of Lake Mogan. In this study, it was also demonstrated that multiple regression equations constructed for one year could not be utilized to predict littoral sediment characteristics effectively in another year.
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