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Dive into the research topics where Koksal Karadas is active.

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Featured researches published by Koksal Karadas.


Acta Agriculturae Scandinavica Section B-soil and Plant Science | 2006

Effect of water stress and potassium iodide on yield and yield components in two wheat varieties

Murat Olgun; A. Metin Kumlay; Koksal Karadas; Metin Turan; O. Tomar; A. Çaglar

Drought is a major factor limiting crop growth and productivity. Under semi-arid and arid conditions unavailability of water limits grain yield (Chimenti et al., 2002). Studies aimed at an integrated approach to drought resistance should define the problems including the regularity of drought and its timing in relation to crop development (Clarke, 1985). The most sensitive stage is that of anthesis; characters most affected are grain yield, seed weight and number per spike (Wells & Dubetz, 1966; Ceylan, 1994). In the grain growing region, this period is in June. Cultivars with the ability to compensate against early senescence should be more tolerant to drought conditions (Turner & Nicolas, 1987). The identification of attributes useful for the process of screening genotypes for drought tolerance is a major challenge to the plant breeder. Because yield and drought resistance are controlled at separate genetic loci, improved drought tolerance involves the identification and transfer of physiological traits responsible for drought resistance to high-yielding and agronomically acceptable cultivars. Most physiological screening tests are too slow and complex to be suitable for testing large numbers of genotypes (Zhang et al., 1999). These disadvantages may be minimized when attributes of proven value can be identified in early developmental phases in controlled or partially controlled environments, and marker assisted selection techniques applied in the breeding process. Blum (1983) suggested that chemical desiccation could be used to screen for post-anthesis stress tolerance, as destruction of the plant’s photosynthetic system by desiccation would reveal those genotypes that were able to sustain translocation-based kernel growth. They found potassium iodide (0.6%) applied to leaves most accurately simulated the influence of drought (Nicolas & Turner, 1993). This technique applied in non-stress conditions gave grain yields and kernel weights that were correlated with yield under stress conditions (Turner et al., 1989). Morphological, physiological and anatomical characteristics of wheat have been identified, enabling plants to grow and survive in drought-prone conditions (Acevedo & Ceccarelli, 1989). High yielding genotypes show high crop ground cover during autumn and winter when water is available (Anon., 1994). Drought resistant genotypes show early flowering and a faster grain-filling period, thereby increasing yield (Blum, 1983), earlier heading, higher number of spikes per m, and higher grain weight per spike (Cooper et al., 1987); also dark green leaves before stem extension and light green leaves after stem extension (Richards, 1982), and accumulation of intermediary metabolites such as proline (Grummet et al., 1987) under drought stress. The objective of these studies was to determine the effect of different irrigation times on yield, some yield and quality components, and to evaluate the applicability of potassium iodide as a chemical desiccant in wheat.


Pakistan Journal of Zoology | 2016

Measuring Predictive Performance of Data Mining and Artificial Neural Network Algorithms for Predicting Lactation Milk Yield in Indigenous Akkaraman Sheep

Koksal Karadas; Muhammad Masood Tariq; Mohammad Masood Tariq; Ecevit Eyduran; Abdul Rauf Shakoori


Pakistan Journal of Zoology | 2017

Comparison of the Predictive Capabilities of Several Data Mining Algorithms and Multiple Linear Regression in the Prediction of Body Weight by Means of Body Measurements in the Indigenous Beetal Goat of Pakistan

Ecevit Eyduran; Daniel Zaborski; Abdul Waheed; Senol Celik; Koksal Karadas; Wilhelm Grzesiak


Pakistan Journal of Zoology | 2016

Effect of Carrot (Daucus carota) Leaf Powder on External and Internal Egg Characteristics of Hy-Line White Laying Hens

Metin Duru; Asuman Arslan Duru; Koksal Karadas; Ecevit Eyduran; Harun Cinli; Mohammad Masood Tariq


Revista Brasileira De Zootecnia | 2018

Identification of risk factors affecting production of beekeeping farms and development of risk management strategies: A new approach

Koksal Karadas; Avni Birinci


Pakistan Journal of Zoology | 2018

Prediction of Fattening Final Live Weight from some Body Measurements and Fattening Period in Young Bulls of Crossbred and Exotic Breeds using MARS Data Mining Algorithm

İbrahim Aytekin; Ecevit Eyduran; Koksal Karadas; Rifat Akşahan; İsmail Keskin


Pakistan Journal of Zoology | 2018

Comparing Predictive Performances of some Nonlinear Functions and Multivariate Adaptive Regression Splines (MARS) for Describing the Growth of Daera Dın Panah (DDP) Goat in Pakistan

Senol Celik; Ecevit Eyduran; Adile Tatliyer; Koksal Karadas; Mehmet Kazim Kara; Abdul Waheed


Revista Brasileira De Zootecnia | 2017

Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan

Senol Celik; Ecevit Eyduran; Koksal Karadas; Mohammad Masood Tariq


Pakistan Journal of Zoology | 2017

Predicting Honey Production using Data Mining and Artificial Neural Network Algorithms in Apiculture

Koksal Karadas; Ibrahim Hakki Kadırhanogullari


Meyve Bilimi | 2016

Iğdır İlinde Domates Üretimi ve Pazarlaması

Yakup Erdal Erturk; Koksal Karadas

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Adile Tatliyer

Süleyman Demirel University

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