Comprehensive Decision-Making for the Leaf-to-Fruit Ratio and Estimation of Economic Output Value of Walnut Trees Based on Statistical Analyses

Cuifang Zhang; Cunde Pan; Hong Chen; Shiwei Wang

doi:10.7235/HORT.20200041

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2020 Vol.38, Issue 4 Preview Page Next Page

Research Article

Comprehensive Decision-Making for the Leaf-to-Fruit Ratio and Estimation of Economic Output Value of Walnut Trees Based on Statistical Analyses

31 August 2020. pp. 429-439

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Abstract

This study examined the Juglans regia ‘Xinxin2’ walnut variety using combined field control experiments with laboratory chemical analyses and analyzed the effects of the relationships among net photosynthetic rate (Pn), specific mass transfer rate (SMTR), nut dry mass (NDM), and nut yield per girdled fruit-bearing shoot (Yield) on the leaf-to-fruit ratio (LFR). We used comprehensive decision-making based on mathematical programming to determine the optimal LFR for this walnut variety in the peak fruiting stage. The optimal LFR was calculated as the comprehensive expected value of the linear combination among the equations for the effects of LFR on the Pn, SMTR, NDM, and Yield and was determined to be 2.02. Compared with walnut plants without LFR adjustment, the walnut plants with LFR adjustment using 2.02 as the minimum threshold had a 19.52% lower nut yield, a higher nut quality (Special Class, Class I, and Class II accounted for 100% of the nut yield per 670 m²), and a 36.22% higher economic output value per 670 m². This study indicates that improving fruit quality to produce Grade I and II nuts will increase economic output, although the total yield will decrease when managing efficient LFR in nut production.

Keywords

artificial manipulation

regression analysis

residual analysis

source-sink relationship

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Information

Publisher :KOREAN SOCIETY FOR HORTICULTURAL SCIENCE
Publisher(Ko) :원예과학기술지
Journal Title :Horticultural Science and Technology
Journal Title(Ko) :원예과학기술지
Volume : 38
No :4
Pages :429-439
Received Date : 2020-02-21
Revised Date : 2020-04-30
Accepted Date : 2020-06-07
DOI :https://doi.org/10.7235/HORT.20200041

Horticultural Science and Technology ISSN:1226-8763(Print) 2465-8588(Online) 원예과학기술지

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