Reviewing the harvest index estimation in crop modeling

Document Type: Review Article


1 Department of Water Science and Engineering, College of Agriculture, Fasa University, Fasa, I. R. Iran

2 Department of Irrigation, College of Agriculture, Shiraz University, Shiraz, I. R. Iran


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.


Article Title [Persian]

مروری بر تخمین شاخص برداشت در مدل سازی گیاهی

Authors [Persian]

  • علی شعبانی 1
  • علیرضا سپاس خواه 2
1 گروه علوم و مهندسی آب ، دانشکده کشاورزی، دانشگاه فسا، فسا، ج. ا. ایران
2 گروه آبیاری، دانشکده کشاورزی، دانشگاه شیراز، شیراز، ج. ا. ایران
Abstract [Persian]

شاخص برداشت، نسبت محصول دانه به وزن ماده خشک گیاه، یک پارامتر مهم برای تخمین محصول دانه در بسیاری از مدلهای گیاهی است. در این مطالعه، در مورد اهمیت شاخص برداشت، تعریف، متغیر بودن و روشهای تخمین آن در مدل های گیاهی بحث شده است. روش‌های تخمین شاخص برداشت به دو دسته تقسیم‌‌بندی می‌‌گردند. 1) روش‌‌های کامل: روش‌‌هایی که به صورت پویا مقدار شاخص برداشت را از زمان شروع رشد دانه تا رسیدگی کامل تخمین می‌‌زنند. 2) روش‌‌‌های ساده: روش‌‌‌هایی که مقدار شاخص برداشت نهایی را در زمان رسیدگی دانه تخمین  می‌‌‌زنند. شاخص برداشت ویژگی است که تحت تاثیر بسیاری از عوامل محیطی و خصوصیات ژنوتیپ گیاه قرار دارد. رطوبت خاک یا مکش آب خاک در طول فصل رشد، مواد مغذی خاک، عمق آب زیر زمینی، دمای بالای هوا، تراکم گیاهی و شوری آب آبیاری از عوامل محیطی هستند که بر شاخص برداشت گیاه موثر می‌‌‌باشند. بنابراین در همه مدلهایی که از شاخص برداشت جهت تخمین محصول  استفاده   می‌شود – هم مدل های کامل مانند مدل AquaCrop و هم مدل های ساده- با تغییر ژنوتیپ یا رقم، عوامل محیطی و غیر محیطی معادلات تخمین شاخص برداشت می‌بایست واسنجی گردند.

Keywords [Persian]

  • مدل سازی گیاهی
  • شاخص برداشت
  • تخمین محصول
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