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Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality

Yıl 2024, Cilt: 39 Sayı: 1, 207 - 219, 29.02.2024

Ayşe Akyüz Bilal Cemek

https://doi.org/10.7161/omuanajas.1419318

Öz

Chokeberry is a berry fruit species that has grown in the world in a few decades, and it is used in many fields, especially in the pharmaceutical industry. There needs to be a study examining the relationship between leaf area and irrigation water quality in this species, whose cultivation has started to increase. In this study, which was carried out between 2021 and 2022, the effects of irrigation water quality on leaf area in 1-year-old chokeberry plants of the 'Viking' variety grown in peat and soil media were determined. Irrigation water with 0.65 dS m-1 (Control), 2dS m-1, 4dS m-1, 8dS m-1, and 10dS m-1 electrical conductivity were used in the study. A model was developed in this study to estimate leaf area (LA) using leaf width (W) and leaf length (L) values to determine leaf area. The proposed prediction model was determined as "LA=2.86+4.448×W+0.33×L2-1.496×L " (R2= 0.99). Three-dimensional graphs of the developed models were drawn, and the changes in leaf width, length, and leaf area values against irrigation water salinity were determined. As a result, it was determined that there was a negative relationship between the electrical conductivity of irrigation water and leaf width, length, and area values.

Anahtar Kelimeler

Aronia melanocarpa Leaf area Modelling

Destekleyen Kurum

Ondokuz Mayıs University

Proje Numarası

PYO.ZRT.1901.20.002

Teşekkür

The authors would like to thank Ondokuz Mayis University for the financial support of the project (PYO.ZRT.1901.20.002).

Kaynakça

  • Antunes, W.C., Pompelli, M.F., Carretero, D.M., DaMatta, F.M., 2008. Allometric models for non‐destructive leaf area estimation in coffee (Coffea arabica and Coffea canephora). Annals of Applied Biology, 153(1): 33-40.
  • Bozkurt, S., Mansuroğlu, G., 2019. Biber bitkisinde doğrusal ölçümlerle yaprak alan modelinin oluşturulması. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 24(2): 77-86.
  • Cemek, B., Unlukara, A., Kurunç, A., 2011. Nondestructive leaf-area estimation and validation for green pepper (Capsicum annuum L.) grown under different stress conditions. Photosynthetica, 49: 98-106.
  • Cemek, B., Ünlükara, A., Kurunç, A., Küçüktopcu, E., 2020. Leaf area modeling of bell pepper (Capsicum annuum L.) grown under different stress conditions by soft computing approaches. Computers and Electronics in Agriculture, 174: 105514.
  • Cirillo, C., Pannico, A., Basile, B., Rivera, C. M., Giaccone, M., Colla, G., De Pascale, S., Rouphael, Y., 2017. A simple and accurate allometric model to predict single leaf area of twenty-one European apricot cultivars. European Journal of Horticultural Science, 82: 65-71.
  • Cristofori, V., Fallovo, C., Mendoza-de Gyves, E., Rivera, C.M., Bignami, C., Rouphael, Y., 2008. Non-destructive, analogue model for leaf area estimation in persimmon (Diospyros kaki L. f.) based on leaf length and width measurement. European Journal of Horticultural Science, 73(5): 216.
  • Cristofori, V., Rouphael, Y., Mendoza-de Gyves, E., Bignami, C., 2007. A simple model for estimating leaf area of hazelnut from linear measurements. Scientia Horticulturae, 113(2): 221-225.
  • Demirsoy, H., Demirsoy, L., Öztürk, A., 2005. Improved model for the non-destructive estimation of strawberry leaf area. Fruits, 60(1): 69-73.
  • Demirsoy, H., Demirsoy, L., Uzun, S., Ersoy, B., 2004. Non-destructive leaf area estimation in peach. European Journal of Horticultural Science, 69(4): 144-146.
  • Demirsoy, L., Demirsoy, H., 2003. Characteristics of some local and standard sweet cherry cultivars grown in Turkey. Journal of The American Pomological Society, 57(3): 128.
  • Engin, S.P., Boz, Y., Mert, C., Fidanci, A., İkinci, A., 2018. Growing aronia berry (Aronia melanocarpa (Michx.) Elliot), International Gap Agriculture & Livestock Congress, Sanlıurfa, pp. 25-27.
  • Keramatlou, I., Sharifani, M., Sabouri, H., Alizadeh, M., Kamkar, B., 2015. A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Scientia Horticulturae, 184: 36-39.
  • Mazzini, R.B., Ribeiro, R.V., Pio, R.M., 2010. A simple and non-destructive model for individual leaf area estimation in citrus. Fruits, 65(5): 269-275.
  • Mendoza-de Gyves, E., Rouphael, Y., Cristofori, V., Mira, F.R., 2007. A non-destructive, simple and accurate model for estimating the individual leaf area of kiwi (Actinidia deliciosa). Fruits, 62(3): 171-176.
  • Mendoza-de-Gyves, E., Cristofori, V., Bignami, C., Rouphael, Y., Fallovo, C., 2008. Accurate and rapid technique for leaf area measurement in medlar (Mespilus germanica L.). Advantages in Horticultural Science, (22): 223-227.
  • Miguel, P.S., González, P.J., Fuente, M., del Río, L.J., Santiago, R.L., Trujillo, P.B., Lisarrague, J.R., 2011. Estimation of vineyard leaf area by linear regression. Spanish Journal of Agricultural Research, 9(1): 202-212.
  • NeSmith, D.S., 2006. Fruit development period of several rabbiteye blueberry cultivars. Acta Horticulturae, 715: 137-142.
  • Odabas, M.S., Kayhan, G., Çelik, H., Oktaş, R., 2022. Non-destructively determining blueberry (Vaccinium corymbosum L.) leaf area using dpi-based software. Black Sea Journal of Agriculture, 5(3): 195-199.
  • Odabas, M.S., Gülümser, A., 2005. Developing a software for determining total leaf area on faba bean (Vicia faba L.). Journal of Tekirdag Agricultural Faculty, 2(3): 268-272.
  • Öner, E.K., Arslanoğlu, Ş.F., İskender, R., 2023. Farklı azot ve fosfor uygulamalarının ekinezya’da (Echinacea purpurea L.) yaprak alanı üzerine etkilerinin belirlenmesi. ISPEC Journal of Agricultural Sciences, 7(1): 53-59.
  • Öner, F., Odabaş, M.S., 2023. Non-destructive leaf area measurement using mathematical modeling for paddy varieties. Black Sea Journal of Agriculture, 6(4): 339-342.
  • Öner, F., Odabas, M.S., Sezer, I. Odabas, F., 2011. Leaf area prediction for corn (Zea mays L.) cultivars with multiregression analysis. Photosynthetica, 49: 637-640.
  • Öztürk, A., Cemek, B., Demirsoy, H., Küçüktopcu, E., 2019. Modelling of the leaf area for various pear cultivars using neuro computing approaches. Spanish Journal of Agricultural Research, 17(4): e0206-e0217.
  • Peksen, E., 2007. Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae, 113(4): 322-328.
  • Potdar, M., Pawar, K., 1991. Non-destructive leaf area estimation in banana. Scientia Horticulturae, 45(3-4): 251-254.
  • Robbins, N.S., Pharr, D.M., 1987. Leaf area prediction models for cucumber from linear measurements. HortScience, 22(6): 1264-1266.
  • Rouphael, Y., Mouneimne, A.H., Ismail, A., Mendoza-De Gyves, E., Rivera, C.M., Colla, G., 2010. Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement. Photosynthetica, 48: 9-15.
  • Sala, F., Arsene, G.-G., Iordănescu, O., Boldea, M., 2015. Leaf area constant model in optimizing foliar area measurement in plants: A case study in apple tree. Scientia Horticulturae, 193: 218-224.
  • Salazar, J.C.S., Melgarejo, L.M., Bautista, E.H.D., Di Rienzo, J.A., Casanoves, F., 2018. Non-destructive estimation of the leaf weight and leaf area in cacao (Theobroma cacao L.). Scientia Horticulturae, 229: 19-24.
  • Satpathy, B., Shivnath, A., Rao, K., Ghosh, P., Nair, B., 1992. An easy and rapid method of leaf area estimation in white mulberry (Morus alba). Indian J. Agric. Sci, 62: 489-491.
  • Serdar, Ü., Demirsoy, H., 2006. Non-destructive leaf area estimation in chestnut. Scientia Horticulturae, 108(2): 227-230.
  • Sezer, I., Oner, F., Mut, Z., 2009. Non-destructive leaf area measurement in maize (Zea mays L.). Journal of Environmental Biology, 30(5): 785.
  • Smith, R., Kliewer, W., 1984. Estimation of Thompson Seedless grapevine leaf area. American Journal of Enology and Viticulture, 35(1): 16-22.
  • Sparks, D., 1996. A climatic model for pecan production under humid conditions. Journal of the American Society for Horticultural Science, 121(5): 908-914.
  • Teobaldelli, M., Rouphael, Y., Fascella, G., Cristofori, V., Rivera, C.M., Basile, B., 2019. Developing an accurate and fast non-destructive single leaf area model for loquat (Eriobotrya japonica Lindl) cultivars. Plants, 8(7): 230.
  • Tsialtas, J., Koundouras, S., Zioziou, E., 2008. Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves. Photosynthetica, 46: 452-456.
  • Tunca, E., Köksal, E.S., Çetin, S., Ekiz, N.M., Balde, H., 2018. Yield and leaf area index estimations for sunflower plants using unmanned aerial vehicle images. Environmental monitoring and assessment, 190: 1-12.
  • Uzun, S., Çelik, H., 1999. Leaf area prediction models (Uzcelik-I) for different horticultural plants. Turkish Journal of Agriculture and Forestry, 23(6): 645-650.

Farklı Sulama Suyu Kalitesinde Yetişen Aronya Bitkisinde Yaprak Alan Modelinin Geliştirilmesi

Yıl 2024, Cilt: 39 Sayı: 1, 207 - 219, 29.02.2024

Ayşe Akyüz Bilal Cemek

https://doi.org/10.7161/omuanajas.1419318

Öz

Aronya, başta ilaç sanayi olmak üzeri birçok alan da kullanılmasıyla birlikte dünyada son yüzyılda yetiştirilmeye başlanmış üzümsü bir meyve türüdür. Yetiştiriciliği artmaya başlayan bu türde yaprak alanı ile sulama suyu kalitesi arasındaki ilişkiyi inceleyen bir çalışmaya ihtiyaç bulunmaktadır. 2021-2022 yılları arasında yürütülen bu çalışmada, torf ve toprak ortamlarında yetiştirilen 1 yaşlı ‘Viking’ çeşidine ait aronya bitkilerinde sulama suyu kalitesinin yaprak alanı üzerine etkileri belirlenmiştir. Çalışmada kontrol (0.65 dS m-1), 2dS m-1, 4dS m-1, 8dS m-1 ve 10dS m-1 elektriksel iletkenliğe sahip sulama suları kullanılmıştır. Kalite parametrelerinden biri olan yaprak alanını belirlemek amacıyla bu çalışmada yaprak en (W) ve yaprak boy (L) değerlerini kullanarak yaprak alanını (LA) tahmin etmek için bir model geliştirilmiştir. Önerilen tahmin modeli "LA=2.86+4.448×W+0.33×L2-1.496×L" (R2= 0.99) olarak belirlenmiştir. Geliştirilen modellerin üç boyutlu grafikleri çizilerek yaprak en, boy, yaprak alan değerlerinin sulama suyu tuzluluğu karşısındaki değişimleri belirlenmiştir. Sonuç olarak sulama suyunun elektriksel iletkenliği ile yaprak en, boy ve alan değerleri arasında negatif ilişki olduğu tespit edilmiştir.

Anahtar Kelimeler

Aronia melanocarpa Yaprak alanı Modelleme

Destekleyen Kurum

Ondokuz Mayıs Üniversitesi

Proje Numarası

PYO.ZRT.1901.20.002

Teşekkür

Yazarlar, projenin finansal desteği için Ondokuz Mayıs Üniversitesi'ne teşekkür eder (PYO.ZRT.1901.20.002).

Kaynakça

  • Antunes, W.C., Pompelli, M.F., Carretero, D.M., DaMatta, F.M., 2008. Allometric models for non‐destructive leaf area estimation in coffee (Coffea arabica and Coffea canephora). Annals of Applied Biology, 153(1): 33-40.
  • Bozkurt, S., Mansuroğlu, G., 2019. Biber bitkisinde doğrusal ölçümlerle yaprak alan modelinin oluşturulması. Mustafa Kemal Üniversitesi Tarım Bilimleri Dergisi, 24(2): 77-86.
  • Cemek, B., Unlukara, A., Kurunç, A., 2011. Nondestructive leaf-area estimation and validation for green pepper (Capsicum annuum L.) grown under different stress conditions. Photosynthetica, 49: 98-106.
  • Cemek, B., Ünlükara, A., Kurunç, A., Küçüktopcu, E., 2020. Leaf area modeling of bell pepper (Capsicum annuum L.) grown under different stress conditions by soft computing approaches. Computers and Electronics in Agriculture, 174: 105514.
  • Cirillo, C., Pannico, A., Basile, B., Rivera, C. M., Giaccone, M., Colla, G., De Pascale, S., Rouphael, Y., 2017. A simple and accurate allometric model to predict single leaf area of twenty-one European apricot cultivars. European Journal of Horticultural Science, 82: 65-71.
  • Cristofori, V., Fallovo, C., Mendoza-de Gyves, E., Rivera, C.M., Bignami, C., Rouphael, Y., 2008. Non-destructive, analogue model for leaf area estimation in persimmon (Diospyros kaki L. f.) based on leaf length and width measurement. European Journal of Horticultural Science, 73(5): 216.
  • Cristofori, V., Rouphael, Y., Mendoza-de Gyves, E., Bignami, C., 2007. A simple model for estimating leaf area of hazelnut from linear measurements. Scientia Horticulturae, 113(2): 221-225.
  • Demirsoy, H., Demirsoy, L., Öztürk, A., 2005. Improved model for the non-destructive estimation of strawberry leaf area. Fruits, 60(1): 69-73.
  • Demirsoy, H., Demirsoy, L., Uzun, S., Ersoy, B., 2004. Non-destructive leaf area estimation in peach. European Journal of Horticultural Science, 69(4): 144-146.
  • Demirsoy, L., Demirsoy, H., 2003. Characteristics of some local and standard sweet cherry cultivars grown in Turkey. Journal of The American Pomological Society, 57(3): 128.
  • Engin, S.P., Boz, Y., Mert, C., Fidanci, A., İkinci, A., 2018. Growing aronia berry (Aronia melanocarpa (Michx.) Elliot), International Gap Agriculture & Livestock Congress, Sanlıurfa, pp. 25-27.
  • Keramatlou, I., Sharifani, M., Sabouri, H., Alizadeh, M., Kamkar, B., 2015. A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Scientia Horticulturae, 184: 36-39.
  • Mazzini, R.B., Ribeiro, R.V., Pio, R.M., 2010. A simple and non-destructive model for individual leaf area estimation in citrus. Fruits, 65(5): 269-275.
  • Mendoza-de Gyves, E., Rouphael, Y., Cristofori, V., Mira, F.R., 2007. A non-destructive, simple and accurate model for estimating the individual leaf area of kiwi (Actinidia deliciosa). Fruits, 62(3): 171-176.
  • Mendoza-de-Gyves, E., Cristofori, V., Bignami, C., Rouphael, Y., Fallovo, C., 2008. Accurate and rapid technique for leaf area measurement in medlar (Mespilus germanica L.). Advantages in Horticultural Science, (22): 223-227.
  • Miguel, P.S., González, P.J., Fuente, M., del Río, L.J., Santiago, R.L., Trujillo, P.B., Lisarrague, J.R., 2011. Estimation of vineyard leaf area by linear regression. Spanish Journal of Agricultural Research, 9(1): 202-212.
  • NeSmith, D.S., 2006. Fruit development period of several rabbiteye blueberry cultivars. Acta Horticulturae, 715: 137-142.
  • Odabas, M.S., Kayhan, G., Çelik, H., Oktaş, R., 2022. Non-destructively determining blueberry (Vaccinium corymbosum L.) leaf area using dpi-based software. Black Sea Journal of Agriculture, 5(3): 195-199.
  • Odabas, M.S., Gülümser, A., 2005. Developing a software for determining total leaf area on faba bean (Vicia faba L.). Journal of Tekirdag Agricultural Faculty, 2(3): 268-272.
  • Öner, E.K., Arslanoğlu, Ş.F., İskender, R., 2023. Farklı azot ve fosfor uygulamalarının ekinezya’da (Echinacea purpurea L.) yaprak alanı üzerine etkilerinin belirlenmesi. ISPEC Journal of Agricultural Sciences, 7(1): 53-59.
  • Öner, F., Odabaş, M.S., 2023. Non-destructive leaf area measurement using mathematical modeling for paddy varieties. Black Sea Journal of Agriculture, 6(4): 339-342.
  • Öner, F., Odabas, M.S., Sezer, I. Odabas, F., 2011. Leaf area prediction for corn (Zea mays L.) cultivars with multiregression analysis. Photosynthetica, 49: 637-640.
  • Öztürk, A., Cemek, B., Demirsoy, H., Küçüktopcu, E., 2019. Modelling of the leaf area for various pear cultivars using neuro computing approaches. Spanish Journal of Agricultural Research, 17(4): e0206-e0217.
  • Peksen, E., 2007. Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae, 113(4): 322-328.
  • Potdar, M., Pawar, K., 1991. Non-destructive leaf area estimation in banana. Scientia Horticulturae, 45(3-4): 251-254.
  • Robbins, N.S., Pharr, D.M., 1987. Leaf area prediction models for cucumber from linear measurements. HortScience, 22(6): 1264-1266.
  • Rouphael, Y., Mouneimne, A.H., Ismail, A., Mendoza-De Gyves, E., Rivera, C.M., Colla, G., 2010. Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement. Photosynthetica, 48: 9-15.
  • Sala, F., Arsene, G.-G., Iordănescu, O., Boldea, M., 2015. Leaf area constant model in optimizing foliar area measurement in plants: A case study in apple tree. Scientia Horticulturae, 193: 218-224.
  • Salazar, J.C.S., Melgarejo, L.M., Bautista, E.H.D., Di Rienzo, J.A., Casanoves, F., 2018. Non-destructive estimation of the leaf weight and leaf area in cacao (Theobroma cacao L.). Scientia Horticulturae, 229: 19-24.
  • Satpathy, B., Shivnath, A., Rao, K., Ghosh, P., Nair, B., 1992. An easy and rapid method of leaf area estimation in white mulberry (Morus alba). Indian J. Agric. Sci, 62: 489-491.
  • Serdar, Ü., Demirsoy, H., 2006. Non-destructive leaf area estimation in chestnut. Scientia Horticulturae, 108(2): 227-230.
  • Sezer, I., Oner, F., Mut, Z., 2009. Non-destructive leaf area measurement in maize (Zea mays L.). Journal of Environmental Biology, 30(5): 785.
  • Smith, R., Kliewer, W., 1984. Estimation of Thompson Seedless grapevine leaf area. American Journal of Enology and Viticulture, 35(1): 16-22.
  • Sparks, D., 1996. A climatic model for pecan production under humid conditions. Journal of the American Society for Horticultural Science, 121(5): 908-914.
  • Teobaldelli, M., Rouphael, Y., Fascella, G., Cristofori, V., Rivera, C.M., Basile, B., 2019. Developing an accurate and fast non-destructive single leaf area model for loquat (Eriobotrya japonica Lindl) cultivars. Plants, 8(7): 230.
  • Tsialtas, J., Koundouras, S., Zioziou, E., 2008. Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves. Photosynthetica, 46: 452-456.
  • Tunca, E., Köksal, E.S., Çetin, S., Ekiz, N.M., Balde, H., 2018. Yield and leaf area index estimations for sunflower plants using unmanned aerial vehicle images. Environmental monitoring and assessment, 190: 1-12.
  • Uzun, S., Çelik, H., 1999. Leaf area prediction models (Uzcelik-I) for different horticultural plants. Turkish Journal of Agriculture and Forestry, 23(6): 645-650.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sulama Suyu Kalitesi
Bölüm Anadolu Tarım Bilimleri Dergisi
Yazarlar

Ayşe Akyüz 0009-0002-0612-4787

Bilal Cemek 0000-0002-0503-6497

Proje Numarası PYO.ZRT.1901.20.002
Erken Görünüm Tarihi 27 Şubat 2024
Yayımlanma Tarihi 29 Şubat 2024
Gönderilme Tarihi 15 Ocak 2024
Kabul Tarihi 26 Ocak 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 39 Sayı: 1

Kaynak Göster

APA Akyüz, A., & Cemek, B. (2024). Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality. Anadolu Tarım Bilimleri Dergisi, 39(1), 207-219. https://doi.org/10.7161/omuanajas.1419318
AMA Akyüz A, Cemek B. Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality. ANAJAS. Şubat 2024;39(1):207-219. doi:10.7161/omuanajas.1419318
Chicago Akyüz, Ayşe, ve Bilal Cemek. “Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality”. Anadolu Tarım Bilimleri Dergisi 39, sy. 1 (Şubat 2024): 207-19. https://doi.org/10.7161/omuanajas.1419318.
EndNote Akyüz A, Cemek B (01 Şubat 2024) Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality. Anadolu Tarım Bilimleri Dergisi 39 1 207–219.
IEEE A. Akyüz ve B. Cemek, “Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality”, ANAJAS, c. 39, sy. 1, ss. 207–219, 2024, doi: 10.7161/omuanajas.1419318.
ISNAD Akyüz, Ayşe - Cemek, Bilal. “Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality”. Anadolu Tarım Bilimleri Dergisi 39/1 (Şubat 2024), 207-219. https://doi.org/10.7161/omuanajas.1419318.
JAMA Akyüz A, Cemek B. Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality. ANAJAS. 2024;39:207–219.
MLA Akyüz, Ayşe ve Bilal Cemek. “Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality”. Anadolu Tarım Bilimleri Dergisi, c. 39, sy. 1, 2024, ss. 207-19, doi:10.7161/omuanajas.1419318.
Vancouver Akyüz A, Cemek B. Development of Leaf Area Model in Chokeberry Plant Grown in Different Irrigation Water Quality. ANAJAS. 2024;39(1):207-19.
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Online ISSN: 1308-8769