Browsing by Author "Vurarak, Yasemin"
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Item Ana ürün susamda farklı hasat yöntemlerinin verim ve bazı işletme değerlerine olan etkilerinin belirlenmesi(Uludağ Üniversitesi, 2017-04-24) Vurarak, Yasemin; Bilgili, M. Emin; Angın, NigarÇalışma, Doğu Akdeniz Tarımsal Araştırma Enstitü Müdürlüğü arazilerinde, iki farklı hasat yöntemi ve bu konulara ait iki farklı hasat zamanı olmak üzere toplam 4 konuda 4 tekerrürlü olacak şekilde tesadüf blokları deneme deseninde 2 yıl süresince (2011-2012) ana ürün koşullarında yürütülmüştür. Bu çalışmada susam tarımında en zor, zaman alıcı ve maliyetli olan elle yapılan hasat işlemine alternatif olabilecek yarı mekanize hasat işlemi farklı dönemlerde yapılarak, bu sistemlerin bazı veriler üzerine olan etkileri tespit edilmiştir. Bu veriler verim, hasat kayıpları, 1000 dane ağırlığı, makina işgücü ihtiyacı ve yakıt tüketimleridir. Susam materyali olarak Ege Tarımsal Araştırma Enstitüsü Müdürlüğü’nce tescil ettirilen Orhangazi-99 susam çeşidi kullanılmıştır. Çalışmada hasat makinası olarak susam bitkisinin teknik özelliklerine göre biçme ve bağlama üniteleri yeniden düzenlenmiş bir biçerbağlar kullanılmıştır. Çalışmanın sonunda, tam olgunluk döneminden 3-5 gün önce biçerbağlar ile yapılan hasadın %7.52 verim kaybına neden olmasına rağmen elle gerçekleştirilen hasada alternatif olarak sunulabileceği belirlenmiştir.Publication GGE biplot analysis of genotype x environment interaction in soybean grown as a second crop(Soc Field Crop Sci, 2019-01-01) Kocatürk, Mehmet; Çubukçu, Pınar; Göksoy, Abdurrahim Tanju; Sıncık, Mehmet; İlker, Emre; Kadiroğlu, Abdullah; Vurarak, Yasemin; Şahin, Yeşim; Karakuş, Mehmet; Yıldırım, Ümran Akgün; GÖKSOY, ABDURRAHİM TANJU; SİNCİK, MEHMET; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Tarla Bitkileri Bölümü; 0000-0002-0012-4412; 0000-0002-1568-2564; AAG-9296-2021; AAH-1811-2021The study was aimed to evaluate the adaptability and stability of the soybean genotypes based on the seed yield and the other observed characteristics in the sites cultivated second crop soybean of Turkey which have Mediterranean climate conditions using the GGE biplot analysis method. The experiments were performed under irrigated conditions in 2014, 2015 and 2016 in four different locations (Adana, Antalya, Izmir and Sanliurfa) of Turkey. Fourteen soybean genotypes consisting of 10 advanced soybean lines and four standard varieties were analyzed by a randomized complete block design with 4 replications. The combined analysis of variance revealed significant (P<0.01) effects for all sources of variation (environment, genotype, and GxE interaction) for the seed yield and yield components. Genotype and environment accounted for about 2.59% and 51.04% of the total variation for seed yield, respectively, while the GE interaction explained 20.84% of the total variation. According to the GGE principle, five mega-environments were formed in the present study. Results of the research revealed that genotypes G8 (KANA), G9 (KASM 02), G11 (ARISOY), G3 (BATEM 306), G1 (BATEM 207) and G12 (ATAEM 7) were found as stable. According to GGE Biplot analysis for all traits and genotypes, G4 (BATEM 317) had the largest values for plant height, first pod height, days to 50% flowering, days to maturity and seed yield.Publication Stability analysis of some soybean genotypes using parametric and non parametric methods in multi-environments(Soc Field Crop Sci, 2021-01-01) Cubukco, Pinar; Kocaturk, Mehmet; Ilker, Emre; Kadiroglu, Abdullah; Vurarak, Yasemin; Sahin, Yesim; Karakus, Mehmet; Yildirim, Umran Akgun; Sincik, Mehmet; Goksoy, Abdurrahim Tanju; GÖKSOY, ABDURRAHİM TANJU; Bursa Uludağ Üniversitesi/Ziraat Fakültesi.; 0000-0002-0012-4412; AAH-1811-2021; JCO-4159-2023; A-3491-2012Seed yields of 14 soybean genotypes were evaluated in four locations i.e. Adana, Sanhurfa, Antalya and Izmir under second crop conditions through summer seasons from 2014 to 2016. The study aims to estimate the stability parameters in terms of seed yield of 14 soybean genotypes by using different stability analysis methods across eleven environmental conditions and to study interrelationships among these stability methods. The analysis of variance for seed yield revealed that the genotypes and the environments as well as the genotype x environment interactions (GEI) were statistically significant at P<0.01. Environmental effects were contributed 51.04% to the total sum of squares whereas GEI and genotype effects were 20.8% and 2.59%, respectively. According to most stability methods, BATEM 223, BATEM 306, BATEM 317 and KASM 02 were determined to be stable genotypes. These genotypes demonstrated superior adaptability with high yield performances in many environments. Results of correlation analysis indicated that seed yield was positively and significantly correlated with Di(2) (P<0.01), Si-(6) (P<0.05) and TOP (P<0.01) and showed a negative and significant correlation with Pi (P<0.01) and RS (P<0.01). In addition, the coefficient of regression (bi) was positively significant associated with CVi, alpha i (P<0.01) and Ri(2) (P<0.05).