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Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels

Year 2021, , 301 - 305, 01.12.2021
https://doi.org/10.29136/mediterranean.957192

Abstract

Chlorophyll is a significant biochemical component and can be determined in the laboratory (destructive) and using various chlorophyll content measuring devices (non-destructive). In this study, destructive and non-destructive methods were used to determine chlorophyll content and compared in peanut (Arachis hypogaea cv. NC-7) grown under different soil texture and saline water applications. The experiment was carried out in a complete randomized block design in pots using two soil textures (clay-loam and sandy) and three irrigation water salinity (0.7, 2.1 and 3.3 dS m-1). While the chlorophyll contents (Chl-a , Chl-b, Chl-a+b, Chl-a/b) were determined with the acetone extraction procedure, which is classified as destructive methods under laboratory conditions, the Chlorophyll Content Index (CCI) values were measured with the hand-held chlorophyll meter device (Apogee CCM-200), which is a non-destructive method. While irrigation water salinity decreased all types of chlorophyll contents (Chl-a, Chl-b, Chl-a+b) (mg cm-2), it did not cause a statistical difference in Chl-a/b. Linear and polynomial models were fitted between the different chlorophyll contents and the CCI values under different soil textures and saline water levels. Model performances were slightly better with the polynomial model compared to the linear model in all experimental treatments. Since the difference between model performances is small, it is recommended to use the linear model due to its ease of use. In addition, the total chlorophyll content can be safely estimated under saline conditions by using portable chlorophyll meters.

References

  • Ahani H, Jalilvand H, Vaezi J, Sadati SE (2015) Effects of different water stress on photosynthesis and chlorophyll content of Elaeagnus Rhamnoides. Iranian Journal of Plant Physiology 5: 1403-1410.
  • Apogee (2017) CCM-200 Chlorophyll Content Meter Web Manual. Apogee Instrument.
  • Ayers AS, Westcot DW (1985) Water Quality for Agriculture. FAO Irrigation and Drainage Paper 20, Rome.
  • Banks DJ, Eskins K (1981) Analysis of normal and mutant peanut chloroplast pigments by liquid chromatography. Peanut Science 1: 40-42.
  • Baştuğ R, Karaca C, Büyüktaş D, Aydınşakir K, Dinç N (2016) The effects of deficit irrigation on water use, yield and quality properties of sesame (Sesamum indicum L.) grown in lysimeters. In 13. Ulusal Kültürteknik Kongresi. Antalya, Turkey, pp. 256-266. (In Turkish)
  • Beinsan C, Camen D, Sumalan R, Babau M (2009) Study concerning salt stress effect on leaf area dynamics and chlorophyll content in four bean local landraces from Banat area. In 44th Croatian & 4th International Symposium on Agriculture. Opatija, Croatia, pp. 416-419.
  • Van Den Berg AK, Perkins TD (2004) Evaluation of a portable chlorophyll meter to estimate chlorophyll and nitrogen contents in sugar maple (Acer saccharum Marsh.) leaves. Forest Ecology and Management 200: 113-117.
  • Chandramohanan KT (2014) A study on the effect of salinity stress on the chlorophyll content of certain rice cultivars of Kerala State of India. Agriculture, Forestry and Fisheries 3: 67.
  • Dou F, Soriano J, Tabien RE, Chen K (2016) Soil texture and cultivar effects on rice (Oryza sativa, L.) grain yield, yield components and water productivity in three water regimes. PLoS ONE 11: 1-12.
  • Filimon RV, Rotaru L, Filimon RM (2016) Quantitative investigation of leaf photosynthetic pigments during annual biological cycle of Vitis vinifera L. table grape cultivars. South African Journal for Enology and Viticulture 37: 1-14.
  • Ghasemi M, Arzani K, Yadollahi A, Ghasemi S, Sarikhani Khorrami S (2011) Estimate of leaf chlorophyll and nitrogen content in Asian Pear (Pyrus serotina Rehd.) by CCM-200. Notulae Scientia Biologicae 3: 91-94.
  • Hazrati S, Tahmasebi-Sarvestani Z, Modarres-Sanavy SAM, Mokhtassi-Bidgoli A, Nicola S (2016) Effects of water stress and light intensity on chlorophyll fluorescence parameters and pigments of Aloe vera L.. Plant Physiology and Biochemistry 106: 141-148.
  • IAARD (2008) A Practical Guide To Restoring Agriculture After A Tsunami. In Indonesian Agency for Agricultural Research and Development, Indonesia and NSW Department of Primary Industries.
  • Jamil M, Rehman SU, Kui JL, Jeong MK, Kim HS, Eui SR (2007) Salinity reduced growth PS2 photochemistry and chlorophyll content in radish. Scientia Agricola 64: 111-118.
  • Kazgöz Candemir D, Ödemiş B (2018) Effects of foliar sulfur applications in reducing water stress applied to the cotton plant (Gossypium hirsutum L.) during different development (In Turkish) periods. Derim 35: 161-172.
  • Khaleghi E, Arzani K, Moallemi N, Barzegar M (2012) Evaluation of chlorophyll content and chlorophyll fluorescence parameters and relationships between chlorophyll a, b and chlorophyll content index under water stress in Olea europaea cv. Dezful. International Scholarly and Scientific Research and Innovation 6: 2108-2111.
  • Lunagaria MM, Patel HR, Pandey V (2015) Evaluation and calibration of noninvasive leaf chlorophyll meters for wheat. Journal of Agrometeorology 17: 51-54.
  • Manolopoulou E, Varzakas T, Petsalaki A (2016) Chlorophyll determination in green pepper using two different extraction methods. Current Research in Nutrition and Food Science Journal 4: 52-60.
  • Martinazzo EG, Ramm A, Bacarin MA (2012) The chlorophyll a fluorescence as an indicator of the temperature stress in the leaves of Prunus persica. Brazilian Journal of Plant Physiology 24: 237-246.
  • Meskini-Vishkaee F, Mohammadi MH, Neyshabouri MR, Shekari F (2015) Evaluation of canola chlorophyll index and leaf nitrogen under wide range of soil moisture. International Agrophysics 29: 83-90.
  • MGM (2021) General Meteorological Statistics of Provinces. Turkish State Meteorological Service. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=A&m =ANTALYA. Accessed 7 June, 2021.
  • Monge E, Val J, Heras L, Abadia J (1987) Photosynthetic Pigment Composition of Higher Plants Grown under Iron Stress. In: Biggins J (Ed.), Progress in Photosynthesis Research: Proceedings of the VIIth International Congress on Photosynthesis Providence, Rhode Island, USA, Springer Netherlands, Dordrecht, pp. 201-204.
  • Ngulube M, Mweetwa AM, Phiri E, Muriu SC, Chalwe H, Shitumbanuma V, Brandenburg RL (2018) Effects of biochar and gypsum soil amendments on groundnut (Arachis hypogaea L.) dry matter yield and selected soil properties under water stress. African Journal of Agricultural Research 13: 1080-1090.
  • Ödemiş B, Kazgöz Candemir D, Evrendilek F (2020) Responses to drought stress levels of strawberry grown in greenhouse condiations. Hortic. Studies 37: 113-122.
  • Parry C, Blonquist JM, Bugbee B (2014) In situ measurement of leaf chlorophyll concentration: Analysis of the optical/absolute relationship. Plant, Cell and Environment 37: 2508-2520.
  • Patane P, Vibhute A (2014) Chlorophyll and nitrogen estimation techniques: A Review. International Journal of Engineering Research and Reviews 2: 2348-697.
  • Perera CO, Smith B (2013) Technology of Processing of Horticultural Crops. In: Handbook of Farm, Dairy and Food Machinery Engineering. London, pp. 259-315.
  • Pereyra MS, Davidenco V, Núñez S, Argüello JA (2014) Chlorophyll content estimation in oregano leaves using a portable chlorophyll meter : relationship with mesophyll thickness and leaf age. Agronomía and Ambiente 34: 77-84.
  • Richardson AD, Duigan SP, Berlyn GP (2002) An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 153: 185-194.
  • Sabagh AEL, Omar AE, Saneoka H, Barutçular C (2015) Comparative physiological study of soybean (Glycine Max L.) cultivars under salt stress. Yuzuncu Yil University Journal of Agricultural Sciences 25: 269-284.
  • Silla F, González-Gil A, González-Molina ME, Mediavilla S, Escudero A (2010) Estimation of chlorophyll in quercus leaves using a portable chlorophyll meter: effects of species and leaf age. Annals of Forest Science 67: 108-108.
  • Taibi K, Taïbi F, Ait Abderrahim L, Ennajah A, Belkhodja M, Mulet JM (2016) Effect of salt stress on growth, chlorophyll content, lipid peroxidation and antioxidant defence systems in Phaseolus vulgaris L.. South African Journal of Botany 105: 306-312.
  • Tezcan A, Aslan GE, Kaman H, Can M, Sayici A, Gökçen U, Ekizoğlu H (2018) Assessing different irrigation regimes regarding chlorophyll content of the sweet bell pepper. Journal of Agriculture and Ecology Research International 15: 1-7.
  • Williams S (1984) Official Methods of Analysis of the Association of Official Analytical Chemists (14th ed.). In Association of Analytical Communities, USA.
  • Wood CW, Reeves DW, Himelrick DG (1993) Relationships between chlorophyll meter readings and leaf chlorophyll concentration, N status, and crop yield: A review. Proceedings of the Agronomy Society of New Zealand 23: 1-9.

Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels

Year 2021, , 301 - 305, 01.12.2021
https://doi.org/10.29136/mediterranean.957192

Abstract

Chlorophyll is a significant biochemical component and can be determined in the laboratory (destructive) and using various chlorophyll content measuring devices (non-destructive). In this study, destructive and non-destructive methods were used to determine chlorophyll content and compared in peanut (Arachis hypogaea cv. NC-7) grown under different soil texture and saline water applications. The experiment was carried out in a complete randomized block design in pots using two soil textures (clay-loam and sandy) and three irrigation water salinity (0.7, 2.1 and 3.3 dS m-1). While the chlorophyll contents (Chl-a , Chl-b, Chl-a+b, Chl-a/b) were determined with the acetone extraction procedure, which is classified as destructive methods under laboratory conditions, the Chlorophyll Content Index (CCI) values were measured with the hand-held chlorophyll meter device (Apogee CCM-200), which is a non-destructive method. While irrigation water salinity decreased all types of chlorophyll contents (Chl-a, Chl-b, Chl-a+b) (mg cm-2), it did not cause a statistical difference in Chl-a/b. Linear and polynomial models were fitted between the different chlorophyll contents and the CCI values under different soil textures and saline water levels. Model performances were slightly better with the polynomial model compared to the linear model in all experimental treatments. Since the difference between model performances is small, it is recommended to use the linear model due to its ease of use. In addition, the total chlorophyll content can be safely estimated under saline conditions by using portable chlorophyll meters.

References

  • Ahani H, Jalilvand H, Vaezi J, Sadati SE (2015) Effects of different water stress on photosynthesis and chlorophyll content of Elaeagnus Rhamnoides. Iranian Journal of Plant Physiology 5: 1403-1410.
  • Apogee (2017) CCM-200 Chlorophyll Content Meter Web Manual. Apogee Instrument.
  • Ayers AS, Westcot DW (1985) Water Quality for Agriculture. FAO Irrigation and Drainage Paper 20, Rome.
  • Banks DJ, Eskins K (1981) Analysis of normal and mutant peanut chloroplast pigments by liquid chromatography. Peanut Science 1: 40-42.
  • Baştuğ R, Karaca C, Büyüktaş D, Aydınşakir K, Dinç N (2016) The effects of deficit irrigation on water use, yield and quality properties of sesame (Sesamum indicum L.) grown in lysimeters. In 13. Ulusal Kültürteknik Kongresi. Antalya, Turkey, pp. 256-266. (In Turkish)
  • Beinsan C, Camen D, Sumalan R, Babau M (2009) Study concerning salt stress effect on leaf area dynamics and chlorophyll content in four bean local landraces from Banat area. In 44th Croatian & 4th International Symposium on Agriculture. Opatija, Croatia, pp. 416-419.
  • Van Den Berg AK, Perkins TD (2004) Evaluation of a portable chlorophyll meter to estimate chlorophyll and nitrogen contents in sugar maple (Acer saccharum Marsh.) leaves. Forest Ecology and Management 200: 113-117.
  • Chandramohanan KT (2014) A study on the effect of salinity stress on the chlorophyll content of certain rice cultivars of Kerala State of India. Agriculture, Forestry and Fisheries 3: 67.
  • Dou F, Soriano J, Tabien RE, Chen K (2016) Soil texture and cultivar effects on rice (Oryza sativa, L.) grain yield, yield components and water productivity in three water regimes. PLoS ONE 11: 1-12.
  • Filimon RV, Rotaru L, Filimon RM (2016) Quantitative investigation of leaf photosynthetic pigments during annual biological cycle of Vitis vinifera L. table grape cultivars. South African Journal for Enology and Viticulture 37: 1-14.
  • Ghasemi M, Arzani K, Yadollahi A, Ghasemi S, Sarikhani Khorrami S (2011) Estimate of leaf chlorophyll and nitrogen content in Asian Pear (Pyrus serotina Rehd.) by CCM-200. Notulae Scientia Biologicae 3: 91-94.
  • Hazrati S, Tahmasebi-Sarvestani Z, Modarres-Sanavy SAM, Mokhtassi-Bidgoli A, Nicola S (2016) Effects of water stress and light intensity on chlorophyll fluorescence parameters and pigments of Aloe vera L.. Plant Physiology and Biochemistry 106: 141-148.
  • IAARD (2008) A Practical Guide To Restoring Agriculture After A Tsunami. In Indonesian Agency for Agricultural Research and Development, Indonesia and NSW Department of Primary Industries.
  • Jamil M, Rehman SU, Kui JL, Jeong MK, Kim HS, Eui SR (2007) Salinity reduced growth PS2 photochemistry and chlorophyll content in radish. Scientia Agricola 64: 111-118.
  • Kazgöz Candemir D, Ödemiş B (2018) Effects of foliar sulfur applications in reducing water stress applied to the cotton plant (Gossypium hirsutum L.) during different development (In Turkish) periods. Derim 35: 161-172.
  • Khaleghi E, Arzani K, Moallemi N, Barzegar M (2012) Evaluation of chlorophyll content and chlorophyll fluorescence parameters and relationships between chlorophyll a, b and chlorophyll content index under water stress in Olea europaea cv. Dezful. International Scholarly and Scientific Research and Innovation 6: 2108-2111.
  • Lunagaria MM, Patel HR, Pandey V (2015) Evaluation and calibration of noninvasive leaf chlorophyll meters for wheat. Journal of Agrometeorology 17: 51-54.
  • Manolopoulou E, Varzakas T, Petsalaki A (2016) Chlorophyll determination in green pepper using two different extraction methods. Current Research in Nutrition and Food Science Journal 4: 52-60.
  • Martinazzo EG, Ramm A, Bacarin MA (2012) The chlorophyll a fluorescence as an indicator of the temperature stress in the leaves of Prunus persica. Brazilian Journal of Plant Physiology 24: 237-246.
  • Meskini-Vishkaee F, Mohammadi MH, Neyshabouri MR, Shekari F (2015) Evaluation of canola chlorophyll index and leaf nitrogen under wide range of soil moisture. International Agrophysics 29: 83-90.
  • MGM (2021) General Meteorological Statistics of Provinces. Turkish State Meteorological Service. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=A&m =ANTALYA. Accessed 7 June, 2021.
  • Monge E, Val J, Heras L, Abadia J (1987) Photosynthetic Pigment Composition of Higher Plants Grown under Iron Stress. In: Biggins J (Ed.), Progress in Photosynthesis Research: Proceedings of the VIIth International Congress on Photosynthesis Providence, Rhode Island, USA, Springer Netherlands, Dordrecht, pp. 201-204.
  • Ngulube M, Mweetwa AM, Phiri E, Muriu SC, Chalwe H, Shitumbanuma V, Brandenburg RL (2018) Effects of biochar and gypsum soil amendments on groundnut (Arachis hypogaea L.) dry matter yield and selected soil properties under water stress. African Journal of Agricultural Research 13: 1080-1090.
  • Ödemiş B, Kazgöz Candemir D, Evrendilek F (2020) Responses to drought stress levels of strawberry grown in greenhouse condiations. Hortic. Studies 37: 113-122.
  • Parry C, Blonquist JM, Bugbee B (2014) In situ measurement of leaf chlorophyll concentration: Analysis of the optical/absolute relationship. Plant, Cell and Environment 37: 2508-2520.
  • Patane P, Vibhute A (2014) Chlorophyll and nitrogen estimation techniques: A Review. International Journal of Engineering Research and Reviews 2: 2348-697.
  • Perera CO, Smith B (2013) Technology of Processing of Horticultural Crops. In: Handbook of Farm, Dairy and Food Machinery Engineering. London, pp. 259-315.
  • Pereyra MS, Davidenco V, Núñez S, Argüello JA (2014) Chlorophyll content estimation in oregano leaves using a portable chlorophyll meter : relationship with mesophyll thickness and leaf age. Agronomía and Ambiente 34: 77-84.
  • Richardson AD, Duigan SP, Berlyn GP (2002) An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 153: 185-194.
  • Sabagh AEL, Omar AE, Saneoka H, Barutçular C (2015) Comparative physiological study of soybean (Glycine Max L.) cultivars under salt stress. Yuzuncu Yil University Journal of Agricultural Sciences 25: 269-284.
  • Silla F, González-Gil A, González-Molina ME, Mediavilla S, Escudero A (2010) Estimation of chlorophyll in quercus leaves using a portable chlorophyll meter: effects of species and leaf age. Annals of Forest Science 67: 108-108.
  • Taibi K, Taïbi F, Ait Abderrahim L, Ennajah A, Belkhodja M, Mulet JM (2016) Effect of salt stress on growth, chlorophyll content, lipid peroxidation and antioxidant defence systems in Phaseolus vulgaris L.. South African Journal of Botany 105: 306-312.
  • Tezcan A, Aslan GE, Kaman H, Can M, Sayici A, Gökçen U, Ekizoğlu H (2018) Assessing different irrigation regimes regarding chlorophyll content of the sweet bell pepper. Journal of Agriculture and Ecology Research International 15: 1-7.
  • Williams S (1984) Official Methods of Analysis of the Association of Official Analytical Chemists (14th ed.). In Association of Analytical Communities, USA.
  • Wood CW, Reeves DW, Himelrick DG (1993) Relationships between chlorophyll meter readings and leaf chlorophyll concentration, N status, and crop yield: A review. Proceedings of the Agronomy Society of New Zealand 23: 1-9.
There are 35 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Makaleler
Authors

Cihan Karaca 0000-0003-3010-9149

Gülçin Ece Aslan 0000-0002-5187-7588

Begüm Polat 0000-0001-8178-6161

Dursun Büyüktaş 0000-0002-9130-9112

Publication Date December 1, 2021
Submission Date June 24, 2021
Published in Issue Year 2021

Cite

APA Karaca, C., Aslan, G. E., Polat, B., Büyüktaş, D. (2021). Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels. Mediterranean Agricultural Sciences, 34(3), 301-305. https://doi.org/10.29136/mediterranean.957192
AMA Karaca C, Aslan GE, Polat B, Büyüktaş D. Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels. Mediterranean Agricultural Sciences. December 2021;34(3):301-305. doi:10.29136/mediterranean.957192
Chicago Karaca, Cihan, Gülçin Ece Aslan, Begüm Polat, and Dursun Büyüktaş. “Non-Destructive Estimation of Chlorophyll Content of Peanuts Grown at Different Soil Texture and Salinity Levels”. Mediterranean Agricultural Sciences 34, no. 3 (December 2021): 301-5. https://doi.org/10.29136/mediterranean.957192.
EndNote Karaca C, Aslan GE, Polat B, Büyüktaş D (December 1, 2021) Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels. Mediterranean Agricultural Sciences 34 3 301–305.
IEEE C. Karaca, G. E. Aslan, B. Polat, and D. Büyüktaş, “Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels”, Mediterranean Agricultural Sciences, vol. 34, no. 3, pp. 301–305, 2021, doi: 10.29136/mediterranean.957192.
ISNAD Karaca, Cihan et al. “Non-Destructive Estimation of Chlorophyll Content of Peanuts Grown at Different Soil Texture and Salinity Levels”. Mediterranean Agricultural Sciences 34/3 (December 2021), 301-305. https://doi.org/10.29136/mediterranean.957192.
JAMA Karaca C, Aslan GE, Polat B, Büyüktaş D. Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels. Mediterranean Agricultural Sciences. 2021;34:301–305.
MLA Karaca, Cihan et al. “Non-Destructive Estimation of Chlorophyll Content of Peanuts Grown at Different Soil Texture and Salinity Levels”. Mediterranean Agricultural Sciences, vol. 34, no. 3, 2021, pp. 301-5, doi:10.29136/mediterranean.957192.
Vancouver Karaca C, Aslan GE, Polat B, Büyüktaş D. Non-destructive estimation of chlorophyll content of peanuts grown at different soil texture and salinity levels. Mediterranean Agricultural Sciences. 2021;34(3):301-5.

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