Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach

There are three hierarchical steps to fill the yield gaps in agricultural systems. These steps are determination of potential yield, yield gaps and system optimization to fill yield gaps. In this study a simple mechanistic model was developed and tested to determine potential yield and yield gaps of...

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Main Authors: behnam kamkar, alireza koochaki, mehdi nassiri mahalati, parviz rezvani moghadam
Format: Article
Language:fas
Published: Ferdowsi University of Mashhad 2009-06-01
Series:پژوهشهای زراعی ایران
Online Access:https://jcesc.um.ac.ir/index.php/arable/article/view/1155
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spelling doaj-f2592af28b7f4f62ad63e1b8beaf306f2021-07-02T13:12:49ZfasFerdowsi University of Mashhadپژوهشهای زراعی ایران2008-14722423-39782009-06-015233334210.22067/gsc.v5i2.1155665Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approachbehnam kamkaralireza koochakimehdi nassiri mahalatiparviz rezvani moghadamThere are three hierarchical steps to fill the yield gaps in agricultural systems. These steps are determination of potential yield, yield gaps and system optimization to fill yield gaps. In this study a simple mechanistic model was developed and tested to determine potential yield and yield gaps of Cumin (Cuminum cyminum) in nine regions of Khorasan provinces (including Bojnourd, Qaeen, Mashhad, Neishabour, Sabzewar, Gonabad, Ferdous, Kashmar and Birjand). Collected data of related year from 228 fields were used to calculate yield gaps. Results indicated variable potential yields in different climatic conditions (the areas with cooler climate and higher radiation had higher potential yields). Also, yield gaps varied considerably between regions (from 2.42 ton.ha-1 in Bojnourd to 0.68 ton.ha-1 in Sabzewar). The highest value for potential yield belonged to Bojnourd (3.7 ton.ha-1). The collected data from studied fields and sensitivity analysis on sowing date (based on common sowing dates range) showed that inappropriate sowing dates was one of the most important yield reducing factors in all regions. Results revealed that if the yield gaps can be filled based on appropriate management option, yield can be increased by two to three folds in some regions.https://jcesc.um.ac.ir/index.php/arable/article/view/1155
collection DOAJ
language fas
format Article
sources DOAJ
author behnam kamkar
alireza koochaki
mehdi nassiri mahalati
parviz rezvani moghadam
spellingShingle behnam kamkar
alireza koochaki
mehdi nassiri mahalati
parviz rezvani moghadam
Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
پژوهشهای زراعی ایران
author_facet behnam kamkar
alireza koochaki
mehdi nassiri mahalati
parviz rezvani moghadam
author_sort behnam kamkar
title Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
title_short Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
title_full Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
title_fullStr Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
title_full_unstemmed Yield gap analysis of cumin in nine regions of Khorasan provinces using modelling approach
title_sort yield gap analysis of cumin in nine regions of khorasan provinces using modelling approach
publisher Ferdowsi University of Mashhad
series پژوهشهای زراعی ایران
issn 2008-1472
2423-3978
publishDate 2009-06-01
description There are three hierarchical steps to fill the yield gaps in agricultural systems. These steps are determination of potential yield, yield gaps and system optimization to fill yield gaps. In this study a simple mechanistic model was developed and tested to determine potential yield and yield gaps of Cumin (Cuminum cyminum) in nine regions of Khorasan provinces (including Bojnourd, Qaeen, Mashhad, Neishabour, Sabzewar, Gonabad, Ferdous, Kashmar and Birjand). Collected data of related year from 228 fields were used to calculate yield gaps. Results indicated variable potential yields in different climatic conditions (the areas with cooler climate and higher radiation had higher potential yields). Also, yield gaps varied considerably between regions (from 2.42 ton.ha-1 in Bojnourd to 0.68 ton.ha-1 in Sabzewar). The highest value for potential yield belonged to Bojnourd (3.7 ton.ha-1). The collected data from studied fields and sensitivity analysis on sowing date (based on common sowing dates range) showed that inappropriate sowing dates was one of the most important yield reducing factors in all regions. Results revealed that if the yield gaps can be filled based on appropriate management option, yield can be increased by two to three folds in some regions.
url https://jcesc.um.ac.ir/index.php/arable/article/view/1155
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AT alirezakoochaki yieldgapanalysisofcumininnineregionsofkhorasanprovincesusingmodellingapproach
AT mehdinassirimahalati yieldgapanalysisofcumininnineregionsofkhorasanprovincesusingmodellingapproach
AT parvizrezvanimoghadam yieldgapanalysisofcumininnineregionsofkhorasanprovincesusingmodellingapproach
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