Ekmeklik Buğday Genotiplerinin Farklı Gelişim Dönemlerinde Ölçülen NDVI, SPAD ve CM-1000 Klorofil metre Arasındaki İlişkinin İncelenmesi
Yıl 2024,
Cilt: 13 Sayı: 2, 54 - 63, 11.04.2025
Mehmet Yıldırım
,
Remzi Özkan
,
Merve Bayhan
,
Seval Eliş
,
Negar Ebrahim Pour Mokhtari
,
Ferhat Kızılgeçi
Öz
Bu çalışma, ekmeklik buğdayın çeşitli gelişim dönemlerinde ölçülen NDVI, SPAD ve CM-1000 klorofil ölçer okumaları arasındaki ilişki araştırmak amacıyla Teknobiltar Ar-Ge araştırma istasyonunda 2018-2019 buğday yetiştirme sezonunda yürütülmüştür. Araştırma tesadüf bloklar deneme desenine göre üç tekerrürlü olarak kurulmuştur. Normalize Edilmiş Vejetasyon Farklılık İndeksi (NDVI), yaprak klorofil içeriği (SPAD okuması) ve kanopi klorofil içeriği (CM1000) ölçümleri başaklanma, çiçeklenme ve olum dönemlerinde ölçülmüştür. NDVI elde taşınabilir Greenseeker ile, SPAD, SPAD-502 ölçer ve bitki örtüsü klorofil içeriği ise CM-1000 aracılığıyla değerlendirilmiştir. Lucilla genotipi diğer genotiplere göre daha yüksek SPAD ve CM-1000 değerleri sergilemiş ve bu da yüksek fotosentez kapasitesine sahip olduğunu göstermiştir. Ayrıca Lucilla genotipinin yüksek NDVI, SPAD ve CM1000 değerleri yüksek kalite potansiyeline işaret etmiştir. Farklı büyüme aşamalarında aynı parametrelerinin ölçümleri arasında güçlü pozitif korelasyon ve bitki sağlığını izlemek için tutarlılık ve güvenilirlik göstermiştir. Araştırma sonucuna göre, protein içeriği, yaş glüten ve hektolitre ağırlığı gibi kalite özellikleriyle tane verimi ile genotipler arasında önemli bir farklılık olduğu göstermiştir. Bu bulgular buğday ıslah programları için uygunfizyolojik özelliklere sahip genotiplerin seçilmesinin önemini vurgulamıştır.
Kaynakça
- Barutçular, C., Yıldırım, M., Koç, M., Akıncı, C., Toptaş, I., Albayrak, O., Tanrıkulu, A., El Sabagh, A. (2016). Evaluation of SPAD chlorophyll in spring wheat genotypes under different environments. Fresenius Environmental Bulletin, 25(4), 1258-1266.
- Bayhan, M., Albayrak, Ö., Özkan, R., Akıncı, C., Yıldırım, M. (2021). Bazı ekmeklik buğday (Triticum aestivum L.) çeşit ve hatlarında spad metre ve ndvi ölçümlerinin kalite özellikleriyle ilişkilerinin biplot analiz yöntemi ile değerlendirilmesi. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 8(1), 32-41. https://doi.org/10.35193/bseufbd.824421
- Bayhan, M., Özkan, R., Albayrak, Ö., Yıldırım, M., Akıncı, C. (2019). Aşırı kurak sezonda ekmeklik buğday genotiplerinin performanslarının test edilmesi. 2. Uluslararası Mardin Artuklu Bilimsel Araştırmalar Kongresi, 23-25 Ağustos, 162-169, Mardin, Türkiye.
- Bayhan, M., Yorulmaz, L., Özkan, R., Yıldırım, M., Albayrak, Ö., Öner, M. (2022). Kurak koşullarda bazı ekmeklik buğday genotiplerinin performanslarının GGE Biplot analizi yöntemi ile değerlendirilmesi. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi, 23(2), 88-95. https://doi.org/10.17474/artvinofd.1089852
- Delgado, E., Mitchell, R. A. C., Parry, M. A. J., Driscoll, S. P., Mitchell, V. J., Lawlor, D. W. (1994). Interacting effects of CO2 concentration, temperature and nitrogen supply on the photosynthesis and composition of winter wheat leaves. Plant, Cell and Environment, 17(11), 1205-1213.
- Fabbri, C., Mancini, M., dalla Marta, A., Orlandini, S., Napoli, M. (2020). Integrating satellite data with a Nitrogen Nutrition Curve for precision top-dress fertilization of durum wheat. European Journal of Agronomy, 120, 126148. https://doi.org/10.1016/j.eja.2020.126148
- Fang, H., Song, H. Y., Cao, F., He, Y., Qiu, Z. J. (2007). Study on the relationship between spectral properties of oilseed rape leaves and their chlorophyll content. Guang pu xue yu guang pu fen xi= Guang pu, 27(9), 1731-1734.
- Francisco, J. J., Sergio, C. G, Gregorio, L. B. R., Juan, A. V., Jesus, A. G. (2012). Non-destructive determination of impact bruising on table olives using ViseNIR spectroscopy. Biosyst. Eng., 113, 371-378.
- Golkari, S., Hagparast, R., Roohi, E., Mobasser, S., Ahmadi, M. M., Soleimani, K., Babaei, T. (2016). Multi-environment evaluation of winter bread wheat genotypes under rainfed conditions of Iran-using AMMI model. Crop Breeding Journal, 6(2), 17-31.
- Gregersen, P. L., Culetic, A., Boschian, L., Krupinska, K. (2013). Plant senescence and crop productivity. Plant Molecular Biology, 82, 603-622.
- Karaman, M., Yildirim, M., Akinci, C. (2024). Demonstration the effectiveness of NDVI with GGE biplot model in determination of high yielding durum wheat (Triticum durum Desf.) genotypes. Genetika, 56(1), 29-42. https://doi.org/10.2298/GENSR2401029K
- Kendal, E., Tekdal, S., Karaman, M. (2019). Proficiency of biplot methods (AMMI and GGE) in the appraisal of Triticale genotypes in multiple environments. Applied Ecology and Environmental Research,17(3): 5995-6007. http://dx.doi.org/10.15666/aeer/1703_59956007
- Kiani-Pouya, A., Rasouli, F. (2014). The potential of leaf chlorophyll content to screen bread-wheat genotypes in saline condition. Photosynthetica, 52(2), 288-300. https://doi.org/10.1007/s11099-014-0033-x
- Kizilgeci, F. (2020). Diallel analysis of spad, yield component and nitrogen use efficiency of some bread wheat genotypes under low and high nitrogen levels. Fresenius Environmental Bulletin, 29 (8), 7071-7080. https://doi.org/10.5601/jelem.2022.27.3.2241
- Kızılgeçi, F., Akıncı, C., Albayrak, Ö., Biçer, B.T., Başdemir, F., Yıldırım, M. (2016). Bazı arpa genotiplerinin Diyarbakır ve Şanlıurfa koşullarında verim ve kalite özellikleri açısından incelenmesi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(1), 146-150. https://doi.org/10.21566/tarbitderg.280319
- Kızılgeçi, F., Cebeli, Z. (2024). Proximal canopy sensing of twenty-two bread wheat genotypes for nutritional quality, yield attributes and grain yield under Mediterranean climate. International Journal of Agriculture Environment and Food Sciences, 8(2), 347-358. https://doi.org/10.31015/jaefs.2024.2.10
- Kızılgeçi, F., Levent, A., Eliş, S., Yildirim, M. (2024). Evaluation of Yield, Quality and Physiological Traits of Triticale Genotypes in Irrigated Conditions. MAS Journal of Applied Sciences, 9(Özel Sayı), 778-https://doi.org/785.10.5281/zenodo.13910805
- Kizilgeci, F., Tebrizli, N., Elis, S., Ozkan, R., Bayhan, M. Yildirim, M. (2025). Non-Destructive chlorophyll meters: a comparison of three types of meters for grain yield estimation of durum wheat under semi-arid environments. International Journal of Agriculture, Environment and Food Sciences, 9 (1), 115-122. https://doi.org/10.31015/2025.1.14
- Liu, B., Yue, Y. M., Li, R., Shen, W. J., Wang, K. L. (2014). Plant leaf chlorophyll content retrieval based on a field imaging spectroscopy system. Sensors, 14(10), 19910-19925. https://doi.org/10.3390/s141019910
- Liu, K., Harrison, M. T., Wang, B., Yang, R., Yan, H. L., Zou, J., et al. (2022). Designing high-yielding wheat crops under late sowing: a case study in southern China. Agron. Sustain. Dev. 42, 12. https://doi.org/10.1007/s13593-022-00764-w
- Mahdi, M. A., Al-Ani, A., Derek, E. and Tan, D. K. Y. (2012). A new image processing based technique to determine chlorophyll in plants. Am.-Eurasian J. Agric. Environ. Sci, 12(10), 1323-1328. https://doi.org/10.5829/idosi.aejaes.2012.12.10.1917
- Maleki, M., Massah, J., Dehghan, M. (2012). Application of a spectral sensor for the assessment of nitrogen content in lettuce plants. Australian Journal of Crop Science, 6(2), 188-193.
- Mehari, M., Tesfay, M., Yirga, H., Mesele, A., Abebe, T., Workineh, A., Amare, B. (2015). GGE biplot analysis of genotype-by-environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Communications in Biometry and Crop Science, 10(1), 17-26.
- Moberg, L., Robertsson, G., Karlberg, B. (2001). Spectrofluorimetric determination of chlorophylls and pheopigments using parallel factor analysis. Talanta, 54(1), 161-170.
- Mohammadi, M., Sharifi, P., Karimizadeh, R., Jafarby, J. A., Khanzadeh, H., Hosseinpour, T., Mohammadi, P. (2015). Stability of grain yield of durum wheat genotypes by AMMI model. Agriculture and Forestry/Poljoprivreda i šumarstv,61(3): 181-193
- Murdock, L., Call, D., James, J. (2004). Comparison and use of chlorophyll meters on wheat (reflectance vs. transmittance/absorbance). Lexington, KY, USA: Cooperative Extension Service, University of Kentucky College of Agriculture.
- Novichonok, E. V., Novichonok, A. O., Kurbatova, J. A., Markovskaya, E. F. (2016). Use of the at leaf chlorophyll meter for a nondestructive estimate of chlorophyll content. Photosynthetica, 54(1), 130-137. https://doi.org/10.1007/s11099-015-0172-8
- Ommen, O. E., Donnelly, A., Vanhoutvin, S. V. A. N., Van Oijen, M., Manderscheid, R. (1999). Chlorophyll content of spring wheat flag leaves grown under elevated CO2 concentrations and other environmental stresses within the ‘ESPACE-wheat’project. European Journal of Agronomy, 10(3-4), 197-203.
- Prasad, P. V. V., Pisipati, S. R., Momčilović, I., Ristic, Z. (2011). Independent and combined effects of high temperature and drought stress during grain filling on plant yield and chloroplast EF‐Tu expression in spring wheat. Journal of Agronomy and Crop Science, 197(6), 430-441.
- Temesgen, M., Alamerew, S., Eticha, F. (2015). GGE biplot analysis of genotype by environment interaction and grain yield stability of bread wheat genotypes in south east Ethiopia. World Journal of Agricultural Sciences, 11(4), 183-190. https://doi.org/10.5829/idosi.wjas.2015.11.4.12763
- Thapa, S., Rudd, J. C., Xue, Q., Bhandari, M., Reddy, S. K., Jessup, K. E., Liu, S., Devkota, R. N., Baker, J., Baker, S. (2019). Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment. Journal of Crop Improvement, 33(5), 633-648. https://doi.org/10.1080/15427528.2019.1648348
- Ulissi, V., Antonucci, F., Benincasa, P., Farneselli, M., Tosti, G., Guiducci, M., Menesatti, P. (2011). Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. Sensors, 11(6), 6411-6424. https://doi.org/10.3390/s110606411
- Wang, W., Gao, X., Cheng, Y. K., Ren, Y., Zhang, Z. H., Wang, R., et al. (2022). QTL mapping of leaf area index and chlorophyll content based on UAV remote sensing in wheat. Agriculture-Basel 12, 19. https://doi.org/10.3390/agriculture12050595
- Wu, Q., Zhang, Y. P., Zhao, Z. W., Xie, M., Hou, D. Y. (2023). Estimation of relative chlorophyll content in spring wheat based on multi-temporal UAV remote sensing. Agronomy-Basel 13, 16. https://doi.org/10.3390/agronomy13010211
- Yan, W., Hunt, L. A., Sheng, Q., Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40, 597-605.
- Yang, Q., Shi, L. S., Han, J. Y., Zha, Y. Y., and Zhu, P. H. (2019). Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images. Field Crops Res., 235, 142-153. https://doi.org/10.1016/j.fcr.2019.02.022
- Yang, Y. C., Nan, R., Mi, T. X., Song, Y. X., Shi, F. H., Liu, X. R., et al. (2023). Rapid and nondestructive evaluation of wheat chlorophyll under drought stress using hyperspectral imaging. Int. J. Mol. Sci. 24, 15. https://doi.org/10.3390/ijms24065825
- Yildirim, M., Kılıç, H., Kendal, E., Karahan, T. (2010). Applicability of chlorophyll meter readings as yield predictor in durum wheat. Journal of Plant Nutrition, 34(2), 151-164. https://doi.org/10.1080/01904167.2011.533319
- Yildirim, M., Koç, M., Akıncı, C., Barutçular, C. (2013). Variations in morphological and physiological traits of bread wheat diallel crosses under timely and late sowing conditions. Field Crops Research, 140, 9-17.
- Yin, Q., Zhang, Y. T., Li, W. L., Wang, J. J., Wang, W. L., Ahmad, I., et al. (2023). Estimation of winter wheat SPAD values based on UAV multispectral remote sensing. Remote Sens., 15, 24. https://doi.org/10.3390/rs15143595
- Zhang, J., Han, W., Huang, L., Zhang, Z., Ma, Y., Hu, Y. (2016). Leaf chlorophyll content estimation of winter wheat based on visible and near-infrared sensors. Sensors, 16(4), 437. https://doi.org/10.3390/s16040437
- Zhang, J., Fengler, K. A., Van Hemert, J. L., Gupta, R., Mongar, N., Sun, J. D., et al. (2019). Identification and characterization of a novel stay-green QTL that increases yield in maize. Plant Biotechnol. J., 17, 2272-2285. https://doi.org/10.1111/pbi.13139
Investigation of The Relationship Between NDVI, SPAD and CM-1000 Chlorophyll Meter Measured at Different Developmental Stages of Bread Wheat Genotypes
Yıl 2024,
Cilt: 13 Sayı: 2, 54 - 63, 11.04.2025
Mehmet Yıldırım
,
Remzi Özkan
,
Merve Bayhan
,
Seval Eliş
,
Negar Ebrahim Pour Mokhtari
,
Ferhat Kızılgeçi
Öz
This study, conducted at Teknobiltar R&D's research station during the 2018-2019 wheat growing season, investigates the relationship between NDVI, SPAD, and CM-1000 chlorophyll meter readings at various developmental stages of bread wheat. A randomized complete block design with three replications was utilized. Normalized Difference Vegetation Index (NDVI), leaf chlorophyll content (SPAD reading), and canopy chlorophyll content (CM1000) measurements were taken at heading, anthesis, and maturity. NDVI was assessed with the handheld Greenseeker, SPAD with the SPAD-502 meter and vegetation chlorophyll content with the CM-1000. The genotype of Lucilla consistently exhibited higher SPAD and CM-1000 values, indicating superior photosynthetic capacity. Lucilla also showed consistently high NDVI, SPAD, and CM1000 values, suggesting its potential for high-quality production. Strong positive correlations were found between measurements of the same parameter at different growth stages, demonstrating consistency and reliability for crop health monitoring. The results indicate significant variation among genotypes for these parameters, which were also correlated with grain yield and quality traits such as protein content, wet gluten, and test weight. The findings underscore the importance of selecting genotypes with favorable physiological traits for wheat breeding programs.
Teşekkür
The authors would like to thank Teknobiltar R&D for providing research facilities and support during the field experiment.
Kaynakça
- Barutçular, C., Yıldırım, M., Koç, M., Akıncı, C., Toptaş, I., Albayrak, O., Tanrıkulu, A., El Sabagh, A. (2016). Evaluation of SPAD chlorophyll in spring wheat genotypes under different environments. Fresenius Environmental Bulletin, 25(4), 1258-1266.
- Bayhan, M., Albayrak, Ö., Özkan, R., Akıncı, C., Yıldırım, M. (2021). Bazı ekmeklik buğday (Triticum aestivum L.) çeşit ve hatlarında spad metre ve ndvi ölçümlerinin kalite özellikleriyle ilişkilerinin biplot analiz yöntemi ile değerlendirilmesi. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 8(1), 32-41. https://doi.org/10.35193/bseufbd.824421
- Bayhan, M., Özkan, R., Albayrak, Ö., Yıldırım, M., Akıncı, C. (2019). Aşırı kurak sezonda ekmeklik buğday genotiplerinin performanslarının test edilmesi. 2. Uluslararası Mardin Artuklu Bilimsel Araştırmalar Kongresi, 23-25 Ağustos, 162-169, Mardin, Türkiye.
- Bayhan, M., Yorulmaz, L., Özkan, R., Yıldırım, M., Albayrak, Ö., Öner, M. (2022). Kurak koşullarda bazı ekmeklik buğday genotiplerinin performanslarının GGE Biplot analizi yöntemi ile değerlendirilmesi. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi, 23(2), 88-95. https://doi.org/10.17474/artvinofd.1089852
- Delgado, E., Mitchell, R. A. C., Parry, M. A. J., Driscoll, S. P., Mitchell, V. J., Lawlor, D. W. (1994). Interacting effects of CO2 concentration, temperature and nitrogen supply on the photosynthesis and composition of winter wheat leaves. Plant, Cell and Environment, 17(11), 1205-1213.
- Fabbri, C., Mancini, M., dalla Marta, A., Orlandini, S., Napoli, M. (2020). Integrating satellite data with a Nitrogen Nutrition Curve for precision top-dress fertilization of durum wheat. European Journal of Agronomy, 120, 126148. https://doi.org/10.1016/j.eja.2020.126148
- Fang, H., Song, H. Y., Cao, F., He, Y., Qiu, Z. J. (2007). Study on the relationship between spectral properties of oilseed rape leaves and their chlorophyll content. Guang pu xue yu guang pu fen xi= Guang pu, 27(9), 1731-1734.
- Francisco, J. J., Sergio, C. G, Gregorio, L. B. R., Juan, A. V., Jesus, A. G. (2012). Non-destructive determination of impact bruising on table olives using ViseNIR spectroscopy. Biosyst. Eng., 113, 371-378.
- Golkari, S., Hagparast, R., Roohi, E., Mobasser, S., Ahmadi, M. M., Soleimani, K., Babaei, T. (2016). Multi-environment evaluation of winter bread wheat genotypes under rainfed conditions of Iran-using AMMI model. Crop Breeding Journal, 6(2), 17-31.
- Gregersen, P. L., Culetic, A., Boschian, L., Krupinska, K. (2013). Plant senescence and crop productivity. Plant Molecular Biology, 82, 603-622.
- Karaman, M., Yildirim, M., Akinci, C. (2024). Demonstration the effectiveness of NDVI with GGE biplot model in determination of high yielding durum wheat (Triticum durum Desf.) genotypes. Genetika, 56(1), 29-42. https://doi.org/10.2298/GENSR2401029K
- Kendal, E., Tekdal, S., Karaman, M. (2019). Proficiency of biplot methods (AMMI and GGE) in the appraisal of Triticale genotypes in multiple environments. Applied Ecology and Environmental Research,17(3): 5995-6007. http://dx.doi.org/10.15666/aeer/1703_59956007
- Kiani-Pouya, A., Rasouli, F. (2014). The potential of leaf chlorophyll content to screen bread-wheat genotypes in saline condition. Photosynthetica, 52(2), 288-300. https://doi.org/10.1007/s11099-014-0033-x
- Kizilgeci, F. (2020). Diallel analysis of spad, yield component and nitrogen use efficiency of some bread wheat genotypes under low and high nitrogen levels. Fresenius Environmental Bulletin, 29 (8), 7071-7080. https://doi.org/10.5601/jelem.2022.27.3.2241
- Kızılgeçi, F., Akıncı, C., Albayrak, Ö., Biçer, B.T., Başdemir, F., Yıldırım, M. (2016). Bazı arpa genotiplerinin Diyarbakır ve Şanlıurfa koşullarında verim ve kalite özellikleri açısından incelenmesi. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(1), 146-150. https://doi.org/10.21566/tarbitderg.280319
- Kızılgeçi, F., Cebeli, Z. (2024). Proximal canopy sensing of twenty-two bread wheat genotypes for nutritional quality, yield attributes and grain yield under Mediterranean climate. International Journal of Agriculture Environment and Food Sciences, 8(2), 347-358. https://doi.org/10.31015/jaefs.2024.2.10
- Kızılgeçi, F., Levent, A., Eliş, S., Yildirim, M. (2024). Evaluation of Yield, Quality and Physiological Traits of Triticale Genotypes in Irrigated Conditions. MAS Journal of Applied Sciences, 9(Özel Sayı), 778-https://doi.org/785.10.5281/zenodo.13910805
- Kizilgeci, F., Tebrizli, N., Elis, S., Ozkan, R., Bayhan, M. Yildirim, M. (2025). Non-Destructive chlorophyll meters: a comparison of three types of meters for grain yield estimation of durum wheat under semi-arid environments. International Journal of Agriculture, Environment and Food Sciences, 9 (1), 115-122. https://doi.org/10.31015/2025.1.14
- Liu, B., Yue, Y. M., Li, R., Shen, W. J., Wang, K. L. (2014). Plant leaf chlorophyll content retrieval based on a field imaging spectroscopy system. Sensors, 14(10), 19910-19925. https://doi.org/10.3390/s141019910
- Liu, K., Harrison, M. T., Wang, B., Yang, R., Yan, H. L., Zou, J., et al. (2022). Designing high-yielding wheat crops under late sowing: a case study in southern China. Agron. Sustain. Dev. 42, 12. https://doi.org/10.1007/s13593-022-00764-w
- Mahdi, M. A., Al-Ani, A., Derek, E. and Tan, D. K. Y. (2012). A new image processing based technique to determine chlorophyll in plants. Am.-Eurasian J. Agric. Environ. Sci, 12(10), 1323-1328. https://doi.org/10.5829/idosi.aejaes.2012.12.10.1917
- Maleki, M., Massah, J., Dehghan, M. (2012). Application of a spectral sensor for the assessment of nitrogen content in lettuce plants. Australian Journal of Crop Science, 6(2), 188-193.
- Mehari, M., Tesfay, M., Yirga, H., Mesele, A., Abebe, T., Workineh, A., Amare, B. (2015). GGE biplot analysis of genotype-by-environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Communications in Biometry and Crop Science, 10(1), 17-26.
- Moberg, L., Robertsson, G., Karlberg, B. (2001). Spectrofluorimetric determination of chlorophylls and pheopigments using parallel factor analysis. Talanta, 54(1), 161-170.
- Mohammadi, M., Sharifi, P., Karimizadeh, R., Jafarby, J. A., Khanzadeh, H., Hosseinpour, T., Mohammadi, P. (2015). Stability of grain yield of durum wheat genotypes by AMMI model. Agriculture and Forestry/Poljoprivreda i šumarstv,61(3): 181-193
- Murdock, L., Call, D., James, J. (2004). Comparison and use of chlorophyll meters on wheat (reflectance vs. transmittance/absorbance). Lexington, KY, USA: Cooperative Extension Service, University of Kentucky College of Agriculture.
- Novichonok, E. V., Novichonok, A. O., Kurbatova, J. A., Markovskaya, E. F. (2016). Use of the at leaf chlorophyll meter for a nondestructive estimate of chlorophyll content. Photosynthetica, 54(1), 130-137. https://doi.org/10.1007/s11099-015-0172-8
- Ommen, O. E., Donnelly, A., Vanhoutvin, S. V. A. N., Van Oijen, M., Manderscheid, R. (1999). Chlorophyll content of spring wheat flag leaves grown under elevated CO2 concentrations and other environmental stresses within the ‘ESPACE-wheat’project. European Journal of Agronomy, 10(3-4), 197-203.
- Prasad, P. V. V., Pisipati, S. R., Momčilović, I., Ristic, Z. (2011). Independent and combined effects of high temperature and drought stress during grain filling on plant yield and chloroplast EF‐Tu expression in spring wheat. Journal of Agronomy and Crop Science, 197(6), 430-441.
- Temesgen, M., Alamerew, S., Eticha, F. (2015). GGE biplot analysis of genotype by environment interaction and grain yield stability of bread wheat genotypes in south east Ethiopia. World Journal of Agricultural Sciences, 11(4), 183-190. https://doi.org/10.5829/idosi.wjas.2015.11.4.12763
- Thapa, S., Rudd, J. C., Xue, Q., Bhandari, M., Reddy, S. K., Jessup, K. E., Liu, S., Devkota, R. N., Baker, J., Baker, S. (2019). Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment. Journal of Crop Improvement, 33(5), 633-648. https://doi.org/10.1080/15427528.2019.1648348
- Ulissi, V., Antonucci, F., Benincasa, P., Farneselli, M., Tosti, G., Guiducci, M., Menesatti, P. (2011). Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. Sensors, 11(6), 6411-6424. https://doi.org/10.3390/s110606411
- Wang, W., Gao, X., Cheng, Y. K., Ren, Y., Zhang, Z. H., Wang, R., et al. (2022). QTL mapping of leaf area index and chlorophyll content based on UAV remote sensing in wheat. Agriculture-Basel 12, 19. https://doi.org/10.3390/agriculture12050595
- Wu, Q., Zhang, Y. P., Zhao, Z. W., Xie, M., Hou, D. Y. (2023). Estimation of relative chlorophyll content in spring wheat based on multi-temporal UAV remote sensing. Agronomy-Basel 13, 16. https://doi.org/10.3390/agronomy13010211
- Yan, W., Hunt, L. A., Sheng, Q., Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40, 597-605.
- Yang, Q., Shi, L. S., Han, J. Y., Zha, Y. Y., and Zhu, P. H. (2019). Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images. Field Crops Res., 235, 142-153. https://doi.org/10.1016/j.fcr.2019.02.022
- Yang, Y. C., Nan, R., Mi, T. X., Song, Y. X., Shi, F. H., Liu, X. R., et al. (2023). Rapid and nondestructive evaluation of wheat chlorophyll under drought stress using hyperspectral imaging. Int. J. Mol. Sci. 24, 15. https://doi.org/10.3390/ijms24065825
- Yildirim, M., Kılıç, H., Kendal, E., Karahan, T. (2010). Applicability of chlorophyll meter readings as yield predictor in durum wheat. Journal of Plant Nutrition, 34(2), 151-164. https://doi.org/10.1080/01904167.2011.533319
- Yildirim, M., Koç, M., Akıncı, C., Barutçular, C. (2013). Variations in morphological and physiological traits of bread wheat diallel crosses under timely and late sowing conditions. Field Crops Research, 140, 9-17.
- Yin, Q., Zhang, Y. T., Li, W. L., Wang, J. J., Wang, W. L., Ahmad, I., et al. (2023). Estimation of winter wheat SPAD values based on UAV multispectral remote sensing. Remote Sens., 15, 24. https://doi.org/10.3390/rs15143595
- Zhang, J., Han, W., Huang, L., Zhang, Z., Ma, Y., Hu, Y. (2016). Leaf chlorophyll content estimation of winter wheat based on visible and near-infrared sensors. Sensors, 16(4), 437. https://doi.org/10.3390/s16040437
- Zhang, J., Fengler, K. A., Van Hemert, J. L., Gupta, R., Mongar, N., Sun, J. D., et al. (2019). Identification and characterization of a novel stay-green QTL that increases yield in maize. Plant Biotechnol. J., 17, 2272-2285. https://doi.org/10.1111/pbi.13139