Utilization of color parameters to estimate moisture content and nutrient levels of peanut leaves

Muharrem KESKİN; Sema KARANLIK; Serap GÖRÜCÜ KESKİN; Yurtsever SOYSAL

Makale detayları

Utilization of color parameters to estimate moisture content and nutrient levels of peanut leaves

Yazarlar:

Muharrem KESKİN | Sema KARANLIK | Serap GÖRÜCÜ KESKİN | Yurtsever SOYSAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2013 Vol.37 Issue 5, pp.604-612

Belge Tipi:

Makale

Yayın Tarihi:

4/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000807585

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X

Anahtar kelimeler:

Özet:

 

Leaf nutrient levels are traditionally quantified by laboratory chemical analysis, which is time-consuming and requires intensive labor and investment. The objective of this study was to predict the moisture content (MC) and nutrient content of peanut leaves from color parameters (CIE Lab) using a chromameter. This method is faster and requires less labor and investment compared to laboratory chemical analysis. Fifty peanut leaf samples were collected from a commercial peanut field. The samples were analyzed for MC, N, P, K, Ca, Mg, Fe, Mn, Zn, and Cu concentrations after color parameters were acquired by chromameter. A positive and high correlation was found between MC and brightness (L*; r = 0.91) and MC and yellowness (b*; r = 0.95). The results show the possibility of predicting the MC of peanut leaves from color data (R2 = 0.88). A strong relationship was also observed between the measured and predicted levels of P and K based on the PLS2 regression model (R2 = 0.88 and R2 = 0.90, respectively). P and K concentrations of peanut leaves can be predicted from the color parameters to within approximately ±0.03% and ±0.15%, respectively. In contrast to MC, P, and K, concentrations of N, Mg, Mn, Zn, and Cu had only moderate correlation, and Fe concentration had the lowest correlation with color parameters (|r| ≤ 0.27).

 

Leaf nutrient levels are traditionally quantified by laboratory chemical analysis, which is time-consuming and requires intensive labor and investment. The objective of this study was to predict the moisture content (MC) and nutrient content of peanut leaves from color parameters (CIE Lab) using a chromameter. This method is faster and requires less labor and investment compared to laboratory chemical analysis. Fifty peanut leaf samples were collected from a commercial peanut field. The samples were analyzed for MC, N, P, K, Ca, Mg, Fe, Mn, Zn, and Cu concentrations after color parameters were acquired by chromameter. A positive and high correlation was found between MC and brightness (L*; r = 0.91) and MC and yellowness (b*; r = 0.95). The results show the possibility of predicting the MC of peanut leaves from color data (R2 = 0.88). A strong relationship was also observed between the measured and predicted levels of P and K based on the PLS2 regression model (R2 = 0.88 and R2 = 0.90, respectively). P and K concentrations of peanut leaves can be predicted from the color parameters to within approximately ±0.03% and ±0.15%, respectively. In contrast to MC, P, and K, concentrations of N, Mg, Mn, Zn, and Cu had only moderate correlation, and Fe concentration had the lowest correlation with color parameters (|r| ≤ 0.27).

Makale detayları

Utilization of color parameters to estimate moisture content and nutrient levels of peanut leaves

Yazarlar:

Muharrem KESKİN | Sema KARANLIK | Serap GÖRÜCÜ KESKİN | Yurtsever SOYSAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2013 Vol.37 Issue 5, pp.604-612

Belge Tipi:

Makale

Yayın Tarihi:

4/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000807585

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X

Key words: Chromameter

color

deficiency

leaf

nutrient

peanut

stress

Sayı

Makale detayları

Yazarlar: Muharrem KESKİN | Sema KARANLIK | Serap GÖRÜCÜ KESKİN | Yurtsever SOYSAL

Yayıncı: TUBITAK

Dergi: Turkish Journal of Agriculture and Forestry 2013 Vol.37 Issue 5, pp.604-612

Belge Tipi: Makale

Yayın Tarihi: 4/2013

Belge Dili: Türkçe

Document ID (Org No.): 2000807585

Sıklık: İki Aylık

eISSN: 1303-6173

pISSN: 1300-011X

Sayı

Yazarlar:

Muharrem KESKİN | Sema KARANLIK | Serap GÖRÜCÜ KESKİN | Yurtsever SOYSAL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Agriculture and Forestry 2013 Vol.37 Issue 5, pp.604-612

Belge Tipi:

Makale

Yayın Tarihi:

4/2013

Belge Dili:

Türkçe

Document ID (Org No.):

2000807585

Sıklık:

İki Aylık

eISSN:

1303-6173

pISSN:

1300-011X