Loading…
Rainfall and its distribution influences on rain-fed saffron yield and economic analysis
Spatial and temporal variability of precipitation events and rainfall depth are the major uncontrolled inputs in planting rain-fed crops and the prediction of their annual yield. Saffron ( Crocus sativus L.) is a strategic crop in Iran and due to its low water requirement and high income is consider...
Saved in:
Published in: | Theoretical and applied climatology 2019-08, Vol.137 (3-4), p.3139-3147 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73 |
---|---|
cites | cdi_FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73 |
container_end_page | 3147 |
container_issue | 3-4 |
container_start_page | 3139 |
container_title | Theoretical and applied climatology |
container_volume | 137 |
creator | Dastranj, Maryam Sepaskhah, Ali Reza Kamgar-Haghighi, Ali Akbar |
description | Spatial and temporal variability of precipitation events and rainfall depth are the major uncontrolled inputs in planting rain-fed crops and the prediction of their annual yield. Saffron (
Crocus sativus
L.) is a strategic crop in Iran and due to its low water requirement and high income is considered in sustainable agricultural strategies. This study was carried out using a dataset from an 8-year rain-fed saffron experiment conducted in Bajgah region (Fars province), Iran. The objective was to determine the effects of annual rainfall, its distribution, and air temperature on saffron yield, and to determine the critical rainfall periods for rain-fed saffron yield. Also, economic analysis was considered for the saffron yield in the study region. Results showed that saffron yield cannot be predicted with adequate accuracy by the annual rainfall. Instead, fall and winter seasonal indices and annual index can be used to predict the rain-fed saffron yield when combined with saffron age and mean maximum daily air temperature in the given season. Results also indicated that rain-fed saffron yield is reversely related to the maximum daily air temperature in winter since warm winter causes the leaves to wither earlier and shortens the vegetative growth period. Internal rates of return for interest rates of 4, 8, and 12% were 30.9, 56.7, and 95.9% respectively which is economically feasible for rain-fed saffron production in the study area. |
doi_str_mv | 10.1007/s00704-019-02804-0 |
format | article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2177441597</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A594359674</galeid><sourcerecordid>A594359674</sourcerecordid><originalsourceid>FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73</originalsourceid><addsrcrecordid>eNp9kc1q3TAQhUVpobdJXiArQ1ddOB39WLKXIbRpIFBIU8hOyPLoouDYqcaG3rfv3LhQsikCaWb0nWGGI8S5hAsJ4D4TX2BqkF0Nqj1Gb8ROGm1qY1r9VuxAOle7rn14Lz4QPQKAstbtxMNdyFMK41iFaajyQtWQaSm5X5c8TxX_jStOEanirDBbJxwqCikVLhwyjsOLEuM8zU85chLGA2U6Fe-4LeHZ3_dE_Pz65f7qW337_frm6vK2jrpTS62VVo2LSbcJoZcpWNs3Wpm2jxDb0DtE1ZvGqdZKsGh1q4wbtIbGWgPB6RPxcev7XOZfK9LiH-e18BDkFe9sjGy6I3WxUfswouet5qWEyGdAHnqeMGWuXzad0U1nnWHBp1cCZhb8vezDSuRvfty9ZtXGxjITFUz-ueSnUA5egj_a4zd7PNvjX-zxwCK9iYjhaY_l39z_Uf0Bk5uQ4A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2177441597</pqid></control><display><type>article</type><title>Rainfall and its distribution influences on rain-fed saffron yield and economic analysis</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>Dastranj, Maryam ; Sepaskhah, Ali Reza ; Kamgar-Haghighi, Ali Akbar</creator><creatorcontrib>Dastranj, Maryam ; Sepaskhah, Ali Reza ; Kamgar-Haghighi, Ali Akbar</creatorcontrib><description>Spatial and temporal variability of precipitation events and rainfall depth are the major uncontrolled inputs in planting rain-fed crops and the prediction of their annual yield. Saffron (
Crocus sativus
L.) is a strategic crop in Iran and due to its low water requirement and high income is considered in sustainable agricultural strategies. This study was carried out using a dataset from an 8-year rain-fed saffron experiment conducted in Bajgah region (Fars province), Iran. The objective was to determine the effects of annual rainfall, its distribution, and air temperature on saffron yield, and to determine the critical rainfall periods for rain-fed saffron yield. Also, economic analysis was considered for the saffron yield in the study region. Results showed that saffron yield cannot be predicted with adequate accuracy by the annual rainfall. Instead, fall and winter seasonal indices and annual index can be used to predict the rain-fed saffron yield when combined with saffron age and mean maximum daily air temperature in the given season. Results also indicated that rain-fed saffron yield is reversely related to the maximum daily air temperature in winter since warm winter causes the leaves to wither earlier and shortens the vegetative growth period. Internal rates of return for interest rates of 4, 8, and 12% were 30.9, 56.7, and 95.9% respectively which is economically feasible for rain-fed saffron production in the study area.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-019-02804-0</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Agricultural economics ; Air temperature ; Analysis ; Annual rainfall ; Annual rainfall distribution ; Aquatic Pollution ; Atmospheric precipitations ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Climate science ; Climatology ; Crop yield ; Distribution ; Earth and Environmental Science ; Earth Sciences ; Economic analysis ; Economics ; Feasibility studies ; Interest rates ; International economic relations ; Original Paper ; Precipitation ; Precipitation variability ; Predictions ; Rain ; Rain and rainfall ; Rainfall ; Rainfall forecasting ; Saffron ; Spatial analysis ; Spatial distribution ; Spice industry ; Sustainable agriculture ; Temperature effects ; Temporal variability ; Temporal variations ; Waste Water Technology ; Water Management ; Water Pollution Control ; Winter</subject><ispartof>Theoretical and applied climatology, 2019-08, Vol.137 (3-4), p.3139-3147</ispartof><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Theoretical and Applied Climatology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73</citedby><cites>FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dastranj, Maryam</creatorcontrib><creatorcontrib>Sepaskhah, Ali Reza</creatorcontrib><creatorcontrib>Kamgar-Haghighi, Ali Akbar</creatorcontrib><title>Rainfall and its distribution influences on rain-fed saffron yield and economic analysis</title><title>Theoretical and applied climatology</title><addtitle>Theor Appl Climatol</addtitle><description>Spatial and temporal variability of precipitation events and rainfall depth are the major uncontrolled inputs in planting rain-fed crops and the prediction of their annual yield. Saffron (
Crocus sativus
L.) is a strategic crop in Iran and due to its low water requirement and high income is considered in sustainable agricultural strategies. This study was carried out using a dataset from an 8-year rain-fed saffron experiment conducted in Bajgah region (Fars province), Iran. The objective was to determine the effects of annual rainfall, its distribution, and air temperature on saffron yield, and to determine the critical rainfall periods for rain-fed saffron yield. Also, economic analysis was considered for the saffron yield in the study region. Results showed that saffron yield cannot be predicted with adequate accuracy by the annual rainfall. Instead, fall and winter seasonal indices and annual index can be used to predict the rain-fed saffron yield when combined with saffron age and mean maximum daily air temperature in the given season. Results also indicated that rain-fed saffron yield is reversely related to the maximum daily air temperature in winter since warm winter causes the leaves to wither earlier and shortens the vegetative growth period. Internal rates of return for interest rates of 4, 8, and 12% were 30.9, 56.7, and 95.9% respectively which is economically feasible for rain-fed saffron production in the study area.</description><subject>Agricultural economics</subject><subject>Air temperature</subject><subject>Analysis</subject><subject>Annual rainfall</subject><subject>Annual rainfall distribution</subject><subject>Aquatic Pollution</subject><subject>Atmospheric precipitations</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Climate science</subject><subject>Climatology</subject><subject>Crop yield</subject><subject>Distribution</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Economic analysis</subject><subject>Economics</subject><subject>Feasibility studies</subject><subject>Interest rates</subject><subject>International economic relations</subject><subject>Original Paper</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>Predictions</subject><subject>Rain</subject><subject>Rain and rainfall</subject><subject>Rainfall</subject><subject>Rainfall forecasting</subject><subject>Saffron</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spice industry</subject><subject>Sustainable agriculture</subject><subject>Temperature effects</subject><subject>Temporal variability</subject><subject>Temporal variations</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Winter</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kc1q3TAQhUVpobdJXiArQ1ddOB39WLKXIbRpIFBIU8hOyPLoouDYqcaG3rfv3LhQsikCaWb0nWGGI8S5hAsJ4D4TX2BqkF0Nqj1Gb8ROGm1qY1r9VuxAOle7rn14Lz4QPQKAstbtxMNdyFMK41iFaajyQtWQaSm5X5c8TxX_jStOEanirDBbJxwqCikVLhwyjsOLEuM8zU85chLGA2U6Fe-4LeHZ3_dE_Pz65f7qW337_frm6vK2jrpTS62VVo2LSbcJoZcpWNs3Wpm2jxDb0DtE1ZvGqdZKsGh1q4wbtIbGWgPB6RPxcev7XOZfK9LiH-e18BDkFe9sjGy6I3WxUfswouet5qWEyGdAHnqeMGWuXzad0U1nnWHBp1cCZhb8vezDSuRvfty9ZtXGxjITFUz-ueSnUA5egj_a4zd7PNvjX-zxwCK9iYjhaY_l39z_Uf0Bk5uQ4A</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Dastranj, Maryam</creator><creator>Sepaskhah, Ali Reza</creator><creator>Kamgar-Haghighi, Ali Akbar</creator><general>Springer Vienna</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20190801</creationdate><title>Rainfall and its distribution influences on rain-fed saffron yield and economic analysis</title><author>Dastranj, Maryam ; Sepaskhah, Ali Reza ; Kamgar-Haghighi, Ali Akbar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural economics</topic><topic>Air temperature</topic><topic>Analysis</topic><topic>Annual rainfall</topic><topic>Annual rainfall distribution</topic><topic>Aquatic Pollution</topic><topic>Atmospheric precipitations</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Atmospheric Sciences</topic><topic>Climate science</topic><topic>Climatology</topic><topic>Crop yield</topic><topic>Distribution</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Economic analysis</topic><topic>Economics</topic><topic>Feasibility studies</topic><topic>Interest rates</topic><topic>International economic relations</topic><topic>Original Paper</topic><topic>Precipitation</topic><topic>Precipitation variability</topic><topic>Predictions</topic><topic>Rain</topic><topic>Rain and rainfall</topic><topic>Rainfall</topic><topic>Rainfall forecasting</topic><topic>Saffron</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Spice industry</topic><topic>Sustainable agriculture</topic><topic>Temperature effects</topic><topic>Temporal variability</topic><topic>Temporal variations</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dastranj, Maryam</creatorcontrib><creatorcontrib>Sepaskhah, Ali Reza</creatorcontrib><creatorcontrib>Kamgar-Haghighi, Ali Akbar</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Theoretical and applied climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dastranj, Maryam</au><au>Sepaskhah, Ali Reza</au><au>Kamgar-Haghighi, Ali Akbar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rainfall and its distribution influences on rain-fed saffron yield and economic analysis</atitle><jtitle>Theoretical and applied climatology</jtitle><stitle>Theor Appl Climatol</stitle><date>2019-08-01</date><risdate>2019</risdate><volume>137</volume><issue>3-4</issue><spage>3139</spage><epage>3147</epage><pages>3139-3147</pages><issn>0177-798X</issn><eissn>1434-4483</eissn><abstract>Spatial and temporal variability of precipitation events and rainfall depth are the major uncontrolled inputs in planting rain-fed crops and the prediction of their annual yield. Saffron (
Crocus sativus
L.) is a strategic crop in Iran and due to its low water requirement and high income is considered in sustainable agricultural strategies. This study was carried out using a dataset from an 8-year rain-fed saffron experiment conducted in Bajgah region (Fars province), Iran. The objective was to determine the effects of annual rainfall, its distribution, and air temperature on saffron yield, and to determine the critical rainfall periods for rain-fed saffron yield. Also, economic analysis was considered for the saffron yield in the study region. Results showed that saffron yield cannot be predicted with adequate accuracy by the annual rainfall. Instead, fall and winter seasonal indices and annual index can be used to predict the rain-fed saffron yield when combined with saffron age and mean maximum daily air temperature in the given season. Results also indicated that rain-fed saffron yield is reversely related to the maximum daily air temperature in winter since warm winter causes the leaves to wither earlier and shortens the vegetative growth period. Internal rates of return for interest rates of 4, 8, and 12% were 30.9, 56.7, and 95.9% respectively which is economically feasible for rain-fed saffron production in the study area.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00704-019-02804-0</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0177-798X |
ispartof | Theoretical and applied climatology, 2019-08, Vol.137 (3-4), p.3139-3147 |
issn | 0177-798X 1434-4483 |
language | eng |
recordid | cdi_proquest_journals_2177441597 |
source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
subjects | Agricultural economics Air temperature Analysis Annual rainfall Annual rainfall distribution Aquatic Pollution Atmospheric precipitations Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Climate science Climatology Crop yield Distribution Earth and Environmental Science Earth Sciences Economic analysis Economics Feasibility studies Interest rates International economic relations Original Paper Precipitation Precipitation variability Predictions Rain Rain and rainfall Rainfall Rainfall forecasting Saffron Spatial analysis Spatial distribution Spice industry Sustainable agriculture Temperature effects Temporal variability Temporal variations Waste Water Technology Water Management Water Pollution Control Winter |
title | Rainfall and its distribution influences on rain-fed saffron yield and economic analysis |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T20%3A01%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Rainfall%20and%20its%20distribution%20influences%20on%20rain-fed%20saffron%20yield%20and%20economic%20analysis&rft.jtitle=Theoretical%20and%20applied%20climatology&rft.au=Dastranj,%20Maryam&rft.date=2019-08-01&rft.volume=137&rft.issue=3-4&rft.spage=3139&rft.epage=3147&rft.pages=3139-3147&rft.issn=0177-798X&rft.eissn=1434-4483&rft_id=info:doi/10.1007/s00704-019-02804-0&rft_dat=%3Cgale_proqu%3EA594359674%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c392t-323257cf38fe0b1fa66b53248bc0c8ab7ee2b457286106e638247d33056640a73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2177441597&rft_id=info:pmid/&rft_galeid=A594359674&rfr_iscdi=true |