Journals / Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi / 2021 / Cilt: 8 - Sayı: 1

Determining the Relationship of SPAD Reading and NDVI with Quality Traits of Bread Wheat by Biplot Analysis

Bazı Ekmeklik Buğday (Triticum aestivum L.) Çeşit ve Hatlarında SPAD Metre ve NDVI Ölçümlerinin Kalite Özellikleriyle İlişkilerinin Biplot Analiz Yöntemi ile Değerlendirilmesi

Pages
32–41
Publication Date
2021-06-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, it was concluded that when SPAD and NDVI measurements are taken correctly in different growth stages of the plant, it can be considered as selection criteria in breeding studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:It is becoming more and more difficult for the rapidly increasing population to have adequate and balanced nutrition with the production obtained from the fragmented and decreasing agricultural areas.
📊
Key Findings & Data:Therefore, it is of great importance to determine genotypes that are well adapted to the changing ecological conditions of the region, morphologically and physiologically appropriate; yield and quality characteristics are good in meeting the increasing nutritional needs.
💡
Conclusion & Impact:In addition, it was concluded that when SPAD and NDVI measurements are taken correctly in different growth stages of the plant, it can be considered as selection criteria in breeding studies.
🔬Design:Research Article
📍Scope:2018-2019 Verileri
⚙️Variables:Bread Wheat · Biplot Analysis · Physiological

Abstract

It is becoming more and more difficult for the rapidly increasing population to have adequate and balanced nutrition with the production obtained from the fragmented and decreasing agricultural areas. Therefore, it is of great importance to determine genotypes that are well adapted to the changing ecological conditions of the region, morphologically and physiologically appropriate; yield and quality characteristics are good in meeting the increasing nutritional needs. In this study, physiological properties, such as NDVI (normalized vegetation difference index) and SPAD (chlorophyll content) and some quality properties (protein content, starch content, wet gluten content, zeleny sedimentation value and hectoliter weight) in some bread wheat Triticum aestivum L.) genotypes under Diyarbakır conditions were investigated. The study was carried out in the research and application area of Dicle University Faculty of Agriculture in Diyarbakır in rainy conditions during the 2018-2019 production season. The experiment was designed as randomized block design with 3 replications. In this study, materials were used as follows: four check cultivars (Dinç, Ceyhan 99, Empire and Pehlivan) which are grown intensively in the region and 16 advanced bread wheat lines obtained from CIMMYT (International Maize and Wheat Improvement Center). It was determined that SPAD measurements were associated with protein, gluten, and sedimentation parameters. In addition, it was concluded that when SPAD and NDVI measurements are taken correctly in different growth stages of the plant, it can be considered as selection criteria in breeding studies. DZ20-E6 lines in terms of physiological properties and quality characteristics have superiority over standard varieties and other lines.

Özet

Parçalanan ve azalan tarım alanlarından elde edilen üretimle günümüzde hızla artan nüfusun, yeterli ve dengeli beslenmesi imkânı her geçen gün daha da zorlaşmaktadır. Bu nedenle artan besin ihtiyaçlarının karşılanmasında değişen ekolojik koşullaraiyi uyum gösteren, morfolojik ve fizyolojik yönden uygun, verim ve kalite özellikleri iyi olan genotiplerin belirlenmesi büyük önem taşımaktadır. Bu çalışmada Diyarbakır koşullarına uyum sağlamada bazı ekmeklik buğday (Triticum aestivum L.) genotiplerinde fizyolojik özelliklerden NDVI (normalleştirilmiş vejetasyon farklılık indeksi) ve SPAD (klorofil içeriği) ile bazı kalite özellikleri (protein oranı, nişasta oranı, yaş gluten oranı, zeleny sedimantasyon değeri ve hektolitre ağırlığı) incelenmiştir. Çalışma, Diyarbakır’da Dicle Üniversitesi Ziraat Fakültesi Tarla Bitkileri Bölümü araştırma ve uygulama alanında 2018-2019 üretim sezonunda yağışa dayalı koşullarda yürütülmüştür. Deneme, tesadüf blokları deneme desenine göre 3 tekerrürlü olarak kurulmuştur. Çalışmada materyal olarak bölgede yoğun olarak yetiştirilen 4 adet ticari çeşit (Dinç, Ceyhan 99, Empire ve Pehlivan) ve CIMMYT (Uluslararası Mısır ve Buğday Geliştirme Merkezi)’ten temin edilen 16 adet ileri ekmeklik buğday hatı kullanılmıştır. SPAD ölçümlerinin protein, glüten ve sedimantasyonla ilişkili olduğu belirlenmiştir. Ayrıca SPAD ve NDVI ölçümleri bitkinin farklı gelişim dönemlerinde doğru bir şekilde alındığında ıslah çalışmalarında seleksiyon kriteri olarak ele alınabileceği sonucuna varılmıştır. Fizyolojik ve kalite özellikleri bakımından DZ20-E6 hatının standart çeşitlere ve diğer hatlara üstünlük sağlamıştır.

🔖

Cite This Article

BAYHAN, M., ALBAYRAK, Ö., ÖZKAN, R., AKINCI, C., YILDIRIM, M. (2021). Determining the Relationship of SPAD Reading and NDVI with Quality Traits of Bread Wheat by Biplot Analysis. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, Cilt: 8 - Sayı: 1, 32–41. https://ajindex.com/articles/251434

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. FAO. (2018). World Total Cereal Production.
  2. Türkiye istatistik kurumu. (2018). Bitkisel Üretim İstatistikleri.
  3. Cabrera-Bosquet, L., Molero, G., Stellacci, A., Bort, J., Nogués, S. & Araus, J. (2011). NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions. Cereal Res. Commun. 39,147-159
  4. Mkhabela, M.S., Bullock, P., Raj, S., Wang, S., & Yang, Y. (2011). Crop yield forecasting on the Canadian prairies using MODIS NDVI data. Agric. For. Meteorol. 151, 385-393
  5. Bavec, F., & Bavec, M. (2001). Chlorophyll meter readings of winter wheat cultivars and grain yield prediction. Commun. Soil Sci. Plant Anal. Res., 32, 2709–2719
  6. Yan, W., & Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86, 623–645
  7. Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In 3rd ERTS Symposium, NASA SP-351 I, 309–317
  8. Osborne, B.G. (2006). Applications of near infrared spectroscopy in quality screening of early-generation material in cereal breeding programmes. J. Near Infrared Spectrosc, 14, 93-101
  9. Silva, C. F. L., Milach, S. C. K., Silva S. D. A., & Montero. C. R. (2008). Near infrared reflectance spectroscopy (NIRS) to assess protein and lipid contents in Avena sativa L. Crop Breed. Appl. Biotechol., 8, 127- 133
  10. Peterson, R. G. (1994). Agricultural Field Experiments Desin and Analysis. Marcel Dekker.Inc. 409 p. Corvallis. Oregon
  11. Yan, W., Hunt, L. A., Sheng, Q., & Szlavnins., Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40, 597-605
  12. Kızılgeçi, F., Yıldırım, M., & Hossain, A. (2019). Evaluation of growth, yield, quality and physiological parameters of eleven Australian bread wheat (Triticum aestivum L.) cultivars grown under the ecological condition of Diyarbakir, Turkey. Int. J. Agric. Environ. Food Sci., 3(1), 34-40
  13. Crusiol, L. G. T., Carvalho, J. de F. C., Sibaldelli, R. N. R., Neiverth, W., Rio, A. do, Ferreira, L. C., Procópio, S. De O., Mertz-Henning, L. M., Nepomuceno, A. L., Neumaier, N., & Farias, J. R. B. (2017). NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regi