Compositional Data Analysis Method for Diagnosing Micronutrients Status of Fall Sugar Beet with the Approach of “ Nutrients Balance”

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DARYASHENAS A.M.; BASIRAT M.; PAKNEJAD A.R.; Daryashenas s.

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Journal: Iranian Journal of Soil Research Year:2017 | Volume:31 | Issue:4 Page(s): 497-508

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Title

Compositional Data Analysis Method for Diagnosing Micronutrients Status of Fall Sugar Beet with the Approach of “ Nutrients Balance”

Author(s)

DARYASHENAS A.M. | BASIRAT M. | PAKNEJAD A.R. | Daryashenas s. | Issue Writer Certificate

Keywords

Aitchison DistanceQ1

Isometric Log RatiosQ1

Reference concentrationsQ1

Fulcrums balance systemQ1

Abstract

Tissue analysis is a useful tool for evaluation and optimizing nutrients for fall sugar beet. Nutrient diagnostic tools are based on two methods, i. e. nutrient concentration (critical minimum value) and ratios (Diagnosis and Recommendation Integrated System or DRIS). However, those methods disregard two important factors which are, firstly, compositional nature of analytical data and, secondly, dealing with high number of ratios which makes our final decision biased. So, we shall try to limit those numbers of ratios that can be diagnosed independently in a given composition. The use of orthogonal balances, a compositional data analysis technique, avoids such biases. Our objective was to develop foliar nutrient balance standards i. e. DRIS and CNDclr to CND-ilr for fall sugar beet and determine CND-ilr reference norms. We collected 183 root and sugar yields and foliar samples in fall sugar beet fields of Khuzestan province and analyzed four nutrients in leaf tissue (Cu, Zn, Mn, and Fe). Nutrients were arranged into three balances ilr1: [Fe|Cu, Zn, Mn], ilr2: [Mn|Zn, Mn], ilr3: [Zn|Cu] and computed as Isometric Log Ratios (ilr). Total population of observations were divided into a high and low population on the basis of 60. 32 t/ha root yield and 9. 40 t/ha sugar yield (cut off yield). Results showed that a Critical Aitchison Distance of 0. 3 (as a predictor) separated balanced from imbalanced samples through three balances i. e. ilr1, ilr2, and ilr3. Three ilr reference norms were derived. "Mobile and Fulcrums balance system" was used for 33 fall sugar beet fields (root yield < 60 t. ha-1: TP quadrant) with 3 balances. Results showed that Fe, Mn, Zn, and Cu with the concentration of, respectively, 296, 120, 41, and 19 mg. kg-1 can be considered as Reference concentrations for balance based diagnosis, because concentration values are compositional and subjected to interactions. Results also showed that to increase the quantity and quality of sugar beet it is not necessary to use iron fertilizers, and if any iron fertilization has been used, it should be reduced.

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APA: Copy

DARYASHENAS, A.M., BASIRAT, M., PAKNEJAD, A.R., & Daryashenas, s.. (2017). Compositional Data Analysis Method for Diagnosing Micronutrients Status of Fall Sugar Beet with the Approach of “ Nutrients Balance”. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), 31(4 ), 497-508. SID. https://sid.ir/paper/158879/en

Vancouver: Copy

DARYASHENAS A.M., BASIRAT M., PAKNEJAD A.R., Daryashenas s.. Compositional Data Analysis Method for Diagnosing Micronutrients Status of Fall Sugar Beet with the Approach of “ Nutrients Balance”. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2017;31(4 ):497-508. Available from: https://sid.ir/paper/158879/en

IEEE: Copy

A.M. DARYASHENAS, M. BASIRAT, A.R. PAKNEJAD, and s. Daryashenas, “Compositional Data Analysis Method for Diagnosing Micronutrients Status of Fall Sugar Beet with the Approach of “ Nutrients Balance”,” IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), vol. 31, no. 4 , pp. 497–508, 2017, [Online]. Available: https://sid.ir/paper/158879/en

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