Ufuk KARADAVUT, Çetin PALTA, Abdurrahman TOZLUCA, Asır GENÇ

Silajlık ve danelik mısırlarda kuru madde birikiminin bazı matematiksel büyüme Modelleri ile analizi

Bu arastırma Bahri Dağdas Uluslararası Tarımsal Arastırma Enstitüsü deneme arazilerinde yürütülmüstür. Çalısmada C 955 silajlık ve DK 585 danelik mısır çesitleri Richards, Gaussian ve Lojistik büyüme modelleri kullanılarak kuru madde birikimleri tanımlanmaya çalısılmıstır. Modeller karsılastırılırken belirleme katsayısı ($R^ 2$), Hata Kareler Ortalaması (HKO), Model Etkinliği (ME), Ortalama Oransal Hata (OOH), Ortalama Kareler Varyasyonu (OKV) ve Yanlılık (Bias) değerleri dikkate alınmıstır. Sonuç olarak, Richards modelinin hem silajlık hem de danelik mısırın kuru madde birikimini en iyi tanımladığı görülürken, lojistik modelin en az tanımlayan model olduğu görülmüstür.

Analysis of Dry Matter accumulation using some mathematical growth models in Silage and seed corns

This study was carried out at Bahri Dağdas International Agricultural Research Institute’s experimental areas. C 955 and DK 585 were used as material. Richards, Gaussian and Logistic growth models were used for describing plants growth. Coefficient of determination ($R^ 2$), mean squared error (MSE), model efficiency (ME), mean rational error (MRE), mean squared variation (MSV) and Bias were used as comparison criteria. As results, Richards model described dry matter accumulation of silage and seeds corns better than Gaussian and Logistic growth models. Logistic growth equation described dry matter accumulation of silage and seeds corns worse than others growth.

PDF

___

Alexieava SG, Stoimenova IA & Mikova AG (1997). A Dynamic modelling of the reproductive process of zea mayze. First European for Information Technology in Agriculture 15-18 June 1997, Cophenagen
Allison R (1969). An investigation on functional models for fertilizer response studies. Journal of Indian Social Agriculture 18: 45-61
Behr V, Hornick J L, Cabaraux J F, Alvarez A & Istasse L (2001). Growth patterns of Belgian Blue replacement heifers and growing males in commercial farms. Livestock Production Science 71: 121-130
Birch C J, Hammer G L & Rickert K G (1998). Improved methods for predicting individual leaf area and leaf senescens in maize (Zea mays). Australian Journal Agricultural Research 49: 249-262
Brown J E, Fitzhung H A & Cartwright T C (1976). A comparison of nonlinear models for describing weight-age relationships in cattle. Journal of Animal Science 42: 810-818
Cerrato M E & Blacman A M (1990). Comparison of models for comparison yield response to nitrogen fertilizer. Agronomy Journal 82: 138-143
Draper NR & Smith H (1981). Applied Regression Analysis. 2 nd. Ed. Wiley: New York
Düzgünes O, Kesici T, Kavuncu O & Gürbüz F (1987). Arastırma ve Deneme Metodları (Đstatistik Metodları II). A. Ü. Ziraat Fakültesi Yayınları No: 1021. Ankara
Karadavut U, Genç A, Palta Ç, Aksoyak S & Tezel M (2006). Mısır (Zea Mays L.) Bitkisinde Taze Ve Kuru Ağırlık Artısı Bakımından Tek Ve Çok Asamalı Büyüme Analizi. 5. Đstatistik Günleri Sempozyumu, 24-27 Mayıs 2006. Antalya
Kırtok Y (1998). Mısır Üretimi ve Kullanımı. Kocaoluk Basım ve Yayınevi, İstanbul
Kobayashi K & Salam M U (2000). Comparing simulated and measured values mean squared deviation and its components. Agronomy Journal 92: 345-352
Li S K (1996). Study on source properties of different genotypes of corn. Ph. D. Thesis. China’s Agric. Univ. Beijing
Locher F, Heuwinkel W, Guster R & Shcmidhalter U (2005). The legume content multispecies mixture as estimated with near infrared reflectance spectroscopy; Method Validation. Agronomy Journal 97: 18-25
Lopez de Torre G & Rankin B J (1978). Factors affecting growth curve parameters of Hereford and Brangus cows. Journal of Animal Science 46: 604-613
Mohanty M & Painuli D K (2004). Modelling rice seedling emergence growth and under tillage and residue management in a rice-wheat system on vertisol in Central India. Soil and Tillage Research 76: 167-174
Overman A R & Scholtz R V (1999). Model for accumulation of dry matter and plant nutrients by corn. Communications in Soil Science and Plant Analysis 30: 2059-2081
Palta Ç, Sade S, Soylu S, Karadavut U, Aksoyak S, Tezel M & Özer E (2007). Mısırda Büyüme Analizleri. Türkiye 7. Tarla Bitkileri Kongresi. 25-27 Haziran 2007, Erzurum
Prasad T V R, Krishnamurty K, Devendra R & Kailsam C (1983). Polinamial functional models to simulate crop growth in maize (Zea mays L.) cultivars. Journal Agronomy and Crop Science 171: 55-64
Statsoft (1995). StatSoft, Inc. http://www.statsoft.com/
Reid J B (2002). Yield response to nutrient supply across a width range of conditions 1. Model derivation. Field Crop Research 77: 161-171
Seber G A F & Wild C J (1989) Nonlinear Regression. John Wiley and Sons. New York