KaydedilenlerDerginizi ekleyin

Dergiler / Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi / 2022 / Cilt: 8 - Sayı: 1

Mısır Fidelerinin Morfo-Fizyolojik Özelliklerinin Verime Doğrudan ve Dolaylı Etkilerinin Yapısal Eşitlik Modellemesinin Kısmi En Küçük Kare (SEM-PLS) Yaklaşımıyla Değerlendirilmesi

Evaluation of the Directly and Indirectly Effects of the Morpho-Physiological Traits of Sweet Corn Seedlings on Yield with Structural Equation Modeling Partial Least Square (SEM-PLS) Approach

Hasan AKAY
Elif ÖZTÜRK
İsmail SEZER
Mehmet Sait KİREMİT
Hakan ARSLAN
Bhaskara Anggarda Gathot SUBRATA
Sayfa
79–91
Yayın Tarihi
2022-11-06
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Finally, the SEM-PLS can be used as a significant tool for understanding the benefits of melatonin and salinity’s positive or negative effects through direct and indirect relationships with the mediating variables of growth parameters and biochemical, which are essential to optimize sweet corn yield.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Environmental stress factors have a very complex effect on the growth and growth parameters of plants.
📊
Temel Bulgular & Veri:Therefore, the present study was aimed to evaluate the, directly and indirectly, effects of the growth and biochemical parameters of sweet corn seed on yield, which seed primed with different melatonin doses and grown under different soil salinity conditions using the SEM-PLS model.
💡
Sonuç & Katkı:Finally, the SEM-PLS can be used as a significant tool for understanding the benefits of melatonin and salinity’s positive or negative effects through direct and indirect relationships with the mediating variables of growth parameters and biochemical, which are essential to optimize sweet corn yield.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:SEM-PLS · melatonin · tatlı mısır

Özet

Environmental stress factors have a very complex effect on the growth and growth parameters of plants. Therefore, special analytical techniques such as SEM-PLS can better understand the between observational variables and abiotic stress factors. Therefore, the present study was aimed to evaluate the, directly and indirectly, effects of the growth and biochemical parameters of sweet corn seed on yield, which seed primed with different melatonin doses and grown under different soil salinity conditions using the SEM-PLS model. Seeds of sweet corn cultivar Vega F1 were soaked in 0, 50, 100, and 200 μM of melatonin solution for 24 h, and then primed seeds were cultivated under four (0.27, 5.45, 9.00, and 12.32 dSm-1) soil salinity conditions. The study results showed that melatonin directly and positively affected growth parameters (β = 0.502, p <0.05). In contrast, salinity directly and negatively affected growth parameters (β = -0.689, p <0.05). Also, melatonin had a mostly indirect effect (β = 0.623) on biochemical components compared to direct effect (β = -0.277). The indirect effect (β = -0.855) of salinity on biochemical components was more significant than its direct effect (β = 0.244). Finally, the SEM-PLS can be used as a significant tool for understanding the benefits of melatonin and salinity’s positive or negative effects through direct and indirect relationships with the mediating variables of growth parameters and biochemical, which are essential to optimize sweet corn yield.

Abstract

Environmental stress factors have a very complex effect on the growth and growth parameters of plants. Therefore, special analytical techniques such as SEM-PLS can better understand the between observational variables and abiotic stress factors. Therefore, the present study was aimed to evaluate the, directly and indirectly, effects of the growth and biochemical parameters of sweet corn seed on yield, which seed primed with different melatonin doses and grown under different soil salinity conditions using the SEM-PLS model. Seeds of sweet corn cultivar Vega F1 were soaked in 0, 50, 100, and 200 μM of melatonin solution for 24 h, and then primed seeds were cultivated under four (0.27, 5.45, 9.00, and 12.32 dSm-1) soil salinity conditions. The study results showed that melatonin directly and positively affected growth parameters (β = 0.502, p <0.05). In contrast, salinity directly and negatively affected growth parameters (β = -0.689, p <0.05). Also, melatonin had a mostly indirect effect (β = 0.623) on biochemical components compared to direct effect (β = -0.277). The indirect effect (β = -0.855) of salinity on biochemical components was more significant than its direct effect (β = 0.244). Finally, the SEM-PLS can be used as a significant tool for understanding the benefits of melatonin and salinity’s positive or negative effects through direct and indirect relationships with the mediating variables of growth parameters and biochemical, which are essential to optimize sweet corn yield.

🔖

Bu Makaleye Atıf Yap

AKAY, H., ÖZTÜRK, E., SEZER, İ., KİREMİT, M. S., ARSLAN, H., SUBRATA, B. A. G. (2022). Mısır Fidelerinin Morfo-Fizyolojik Özelliklerinin Verime Doğrudan ve Dolaylı Etkilerinin Yapısal Eşitlik Modellemesinin Kısmi En Küçük Kare (SEM-PLS) Yaklaşımıyla Değerlendirilmesi. Uluslararası Tarım ve Yaban Hayatı Bilimleri Dergisi, Cilt: 8 - Sayı: 1, 79–91. https://ajindex.com/articles/645175

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (10)

  1. Acosta-Motos, J., Ortuño, M., Bernal-Vicente, A., Diaz-Vivancos, P., Sanchez-Blanco, M., & Hernandez, J. (2017). Plant Responses to Salt Stress: Adaptive Mechanisms. Agronomy, 7(1), 18. https://doi.org/10.3390/agronomy7010018
  2. Ali, M., Afzal, S., Parveen, A., Kamran, M., Javed, M. R., Abbasi, G. H., Malik, Z., Riaz, M., Ahmad, S., Chattha, M. S., Ali, M., Ali, Q., Uddin, M. Z., Rizwan, M., & Ali, S. (2021). Silicon mediated improvement in the growth and ion homeostasis by decreasing Na+ uptake in maize (Zea mays L.) cultivars exposed to salinity stress. Plant Physiology and Biochemistry, 158, 208–218. https://doi.org/10.1016/j.plaphy.2020.10.040
  3. Anderson, J. C., Kellogg, J. L., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
  4. Bahcesular, B., Yildirim, E. D., Karaçocuk, M., Kulak, M., & Karaman, S. (2020). Seed priming with melatonin effects on growth, essential oil compounds and antioxidant activity of basil (Ocimum basilicum L.) under salinity stress. Industrial Crops and Products, 146, 112165. https://doi.org/10.1016/j.indcrop.2020.112165
  5. Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815–824. https://doi.org/10.1016/J.PAID.2006.09.018
  6. Cao, Q., Li, G., Cui, Z., Yang, F., Jiang, X., Diallo, L., & Kong, F. (2019). Seed Priming with Melatonin Improves the Seed Germination of Waxy Maize under Chilling Stress via Promoting the Antioxidant System and Starch Metabolism. Scientific Reports, 9(1), 1–12. https://doi.org/10.1038/s41598-019-51122-y
  7. Chin, W. W. (1988). The Partial Least Squares Approach to Structural Equation Modeling. In G. A. Marcoulides (Ed.), Methodology for business and management (pp. 295–336). Lawrence Erlbaum Associates Publishers.
  8. Dai, L., Li, J., Harmens, H., Zheng, X., & Zhang, C. (2020). Melatonin enhances drought resistance by regulating leaf stomatal behaviour, root growth and catalase activity in two contrasting rapeseed (Brassica napus L.) genotypes. Plant Physiology and Biochemistry, 149, 86–95. https://doi.org/10.1016/j.plaphy.2020.01.039
  9. Erland, L. A. E., & Saxena, P. K. (2018). Melatonin in plant morphogenesis. In Vitro Cellular and Developmental Biology - Plant, 54(1), 3–24. https://doi.org/10.1007/s11627-017-9879-5
  10. Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S. R., Park, H., & Shao, C. (2016). Applications of str