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Information Journal Paper

Title

Reviewing the harvest index estimation in crop modeling

Pages

  1-8

Abstract

 harvest index (HI), ratio of seed yield to aboveground dry matter, is a very important parameter for estimating seed yield in several crop models. In this study, the importance, definition, variability and estimation methods of HI in crop models were discussed. HI estimation methods are categorized into two groups including: (i) complex methods that estimate HI from the beginning of seed growth to crop maturity, dynamically and (ii) simple methods that estimate the final HI at crop maturity. HI is a trait that is affected by many environmental parameters and the genotype of a crop. Soil water content or soil water suction during growing season, soil nutrient, groundwater depth, high air temperature, plant population and irrigation water salinity are some environmental factors affecting the HI. Therefore, in all models that used HI to estimate crop yield, either complex (e. g., AquaCrop model) or simple method, the harvest index estimating equations should be calibrated by changing the genotypes or cultivars, environmental and non-environmental parameters.

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    APA: Copy

    SHABANI, A., & Sepaskhah, A. R.. (2019). Reviewing the harvest index estimation in crop modeling. IRAN AGRICULTURAL RESEARCH, 38(2 ), 1-8. SID. https://sid.ir/paper/360302/en

    Vancouver: Copy

    SHABANI A., Sepaskhah A. R.. Reviewing the harvest index estimation in crop modeling. IRAN AGRICULTURAL RESEARCH[Internet]. 2019;38(2 ):1-8. Available from: https://sid.ir/paper/360302/en

    IEEE: Copy

    A. SHABANI, and A. R. Sepaskhah, “Reviewing the harvest index estimation in crop modeling,” IRAN AGRICULTURAL RESEARCH, vol. 38, no. 2 , pp. 1–8, 2019, [Online]. Available: https://sid.ir/paper/360302/en

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