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Optimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan

Crop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies ar... Full description

Journal Title: Environmental Science and Pollution Research 2017, Vol.24(6), pp.5811-5823
Main Author: Amin, Asad
Other Authors: Nasim, Wajid , Mubeen, Muhammad , Nadeem, Muhammad , Ali, Liaqat , Hammad, Hafiz , Sultana, Syeda , Jabran, Khawar , Rehman, M. , Ahmad, Shakeel , Awais, Muhammad , Rasool, Atta , Fahad, Shah , Saud, Shah , Shah, Adnan , Ihsan, Zahid , Ali, Shahzad , Bajwa, Ali , Hakeem, Khalid , Ameen, Asif , Amanullah, Hafeez , Rehman, Fahad , Alghabar, Ghulam , Jatoi, Muhammad , Akram, Aziz , Khan, Faisal , Islam, Syed , Ata-Ul-Karim, Muhammad , Rehmani, Sajid , Hussain, Muhammad , Razaq, Amin , Fathi, Amin
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0944-1344 ; E-ISSN: 1614-7499 ; DOI: 10.1007/s11356-016-8311-8
Link: http://dx.doi.org/10.1007/s11356-016-8311-8
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recordid: springer_jour10.1007/s11356-016-8311-8
title: Optimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
format: Article
creator:
  • Amin, Asad
  • Nasim, Wajid
  • Mubeen, Muhammad
  • Nadeem, Muhammad
  • Ali, Liaqat
  • Hammad, Hafiz
  • Sultana, Syeda
  • Jabran, Khawar
  • Rehman, M.
  • Ahmad, Shakeel
  • Awais, Muhammad
  • Rasool, Atta
  • Fahad, Shah
  • Saud, Shah
  • Shah, Adnan
  • Ihsan, Zahid
  • Ali, Shahzad
  • Bajwa, Ali
  • Hakeem, Khalid
  • Ameen, Asif
  • Amanullah, Hafeez
  • Rehman, Fahad
  • Alghabar, Ghulam
  • Jatoi, Muhammad
  • Akram, Aziz
  • Khan, Faisal
  • Islam, Syed
  • Ata-Ul-Karim, Muhammad
  • Rehmani, Sajid
  • Hussain, Muhammad
  • Razaq, Amin
  • Fathi, Amin
subjects:
  • Crop modeling
  • DSSAT
  • Phosphorus
  • Environmental protection
  • Cotton cultivars
ispartof: Environmental Science and Pollution Research, 2017, Vol.24(6), pp.5811-5823
description: Crop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies are required to optimize its use in important arable crops like cotton ( Gossypium hirsutum L.) that has great significance. Sustainable P use in crop production could significantly avoid environmental hazards resulting from over-P fertilization. Crop growth modeling has emerged as an effective tool to assess and predict the optimal nutrient requirements for different crops. In present study, Decision Support System for Agro-technology Transfer (DSSAT) sub-model CSM-CROPGRO-Cotton-P was evaluated to estimate the observed and simulated P use in two cotton cultivars grown at three P application rates under the semi-arid climate of southern Punjab, Pakistan. The results revealed that both the cultivars performed best at medium rate of P application (57 kg ha −1 ) in terms of days to anthesis, days to maturity, seed cotton yield, total dry matter production, and harvest index during 2013 and 2014. Cultivar FH-142 performed better than MNH-886 in terms of different yield components. There was a good agreement between observed and simulated days to anthesis (0 to 1 day), days to maturity (0 to 2 days), seed cotton yield, total dry matter, and harvest index with an error of −4.4 to 15%, 12–7.5%, and 13–9.5% in MNH-886 and for FH-142, 4–16%, 19–11%, and 16–8.3% for growing years 2013 and 2014, respectively. CROPGRO-Cotton-P would be a useful tool to forecast cotton yield under different levels of P in cotton production system of the semi-arid climate of Southern Punjab.
language: eng
source:
identifier: ISSN: 0944-1344 ; E-ISSN: 1614-7499 ; DOI: 10.1007/s11356-016-8311-8
fulltext: fulltext
issn:
  • 1614-7499
  • 16147499
  • 0944-1344
  • 09441344
url: Link


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titleOptimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
creatorAmin, Asad ; Nasim, Wajid ; Mubeen, Muhammad ; Nadeem, Muhammad ; Ali, Liaqat ; Hammad, Hafiz ; Sultana, Syeda ; Jabran, Khawar ; Rehman, M. ; Ahmad, Shakeel ; Awais, Muhammad ; Rasool, Atta ; Fahad, Shah ; Saud, Shah ; Shah, Adnan ; Ihsan, Zahid ; Ali, Shahzad ; Bajwa, Ali ; Hakeem, Khalid ; Ameen, Asif ; Amanullah, Hafeez ; Rehman, Fahad ; Alghabar, Ghulam ; Jatoi, Muhammad ; Akram, Aziz ; Khan, Faisal ; Islam, Syed ; Ata-Ul-Karim, Muhammad ; Rehmani, Sajid ; Hussain, Muhammad ; Razaq, Amin ; Fathi, Amin
ispartofEnvironmental Science and Pollution Research, 2017, Vol.24(6), pp.5811-5823
identifier
subjectCrop modeling ; DSSAT ; Phosphorus ; Environmental protection ; Cotton cultivars
descriptionCrop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies are required to optimize its use in important arable crops like cotton ( Gossypium hirsutum L.) that has great significance. Sustainable P use in crop production could significantly avoid environmental hazards resulting from over-P fertilization. Crop growth modeling has emerged as an effective tool to assess and predict the optimal nutrient requirements for different crops. In present study, Decision Support System for Agro-technology Transfer (DSSAT) sub-model CSM-CROPGRO-Cotton-P was evaluated to estimate the observed and simulated P use in two cotton cultivars grown at three P application rates under the semi-arid climate of southern Punjab, Pakistan. The results revealed that both the cultivars performed best at medium rate of P application (57 kg ha −1 ) in terms of days to anthesis, days to maturity, seed cotton yield, total dry matter production, and harvest index during 2013 and 2014. Cultivar FH-142 performed better than MNH-886 in terms of different yield components. There was a good agreement between observed and simulated days to anthesis (0 to 1 day), days to maturity (0 to 2 days), seed cotton yield, total dry matter, and harvest index with an error of −4.4 to 15%, 12–7.5%, and 13–9.5% in MNH-886 and for FH-142, 4–16%, 19–11%, and 16–8.3% for growing years 2013 and 2014, respectively. CROPGRO-Cotton-P would be a useful tool to forecast cotton yield under different levels of P in cotton production system of the semi-arid climate of Southern Punjab.
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titleOptimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
descriptionCrop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies are required to optimize its use in important arable crops like cotton ( Gossypium hirsutum L.) that has great significance. Sustainable P use in crop production could significantly avoid environmental hazards resulting from over-P fertilization. Crop growth modeling has emerged as an effective tool to assess and predict the optimal nutrient requirements for different crops. In present study, Decision Support System for Agro-technology Transfer (DSSAT) sub-model CSM-CROPGRO-Cotton-P was evaluated to estimate the observed and simulated P use in two cotton cultivars grown at three P application rates under the semi-arid climate of southern Punjab, Pakistan. The results revealed that both the cultivars performed best at medium rate of P application (57 kg ha −1 ) in terms of days to anthesis, days to maturity, seed cotton yield, total dry matter production, and harvest index during 2013 and 2014. Cultivar FH-142 performed better than MNH-886 in terms of different yield components. There was a good agreement between observed and simulated days to anthesis (0 to 1 day), days to maturity (0 to 2 days), seed cotton yield, total dry matter, and harvest index with an error of −4.4 to 15%, 12–7.5%, and 13–9.5% in MNH-886 and for FH-142, 4–16%, 19–11%, and 16–8.3% for growing years 2013 and 2014, respectively. CROPGRO-Cotton-P would be a useful tool to forecast cotton yield under different levels of P in cotton production system of the semi-arid climate of Southern Punjab.
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titleOptimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
authorAmin, Asad ; Nasim, Wajid ; Mubeen, Muhammad ; Nadeem, Muhammad ; Ali, Liaqat ; Hammad, Hafiz ; Sultana, Syeda ; Jabran, Khawar ; Rehman, M. ; Ahmad, Shakeel ; Awais, Muhammad ; Rasool, Atta ; Fahad, Shah ; Saud, Shah ; Shah, Adnan ; Ihsan, Zahid ; Ali, Shahzad ; Bajwa, Ali ; Hakeem, Khalid ; Ameen, Asif ; Amanullah, Hafeez ; Rehman, Fahad ; Alghabar, Ghulam ; Jatoi, Muhammad ; Akram, Aziz ; Khan, Faisal ; Islam, Syed ; Ata-Ul-Karim, Muhammad ; Rehmani, Sajid ; Hussain, Muhammad ; Razaq, Amin ; Fathi, Amin
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atitleOptimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
jtitleEnvironmental Science and Pollution Research
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abstractCrop nutrient management is an essential component of any cropping system. With increasing concerns over environmental protection, improvement in fertilizer use efficiencies has become a prime goal in global agriculture system. Phosphorus (P) is one of the most important nutrients, and strategies are required to optimize its use in important arable crops like cotton ( Gossypium hirsutum L.) that has great significance. Sustainable P use in crop production could significantly avoid environmental hazards resulting from over-P fertilization. Crop growth modeling has emerged as an effective tool to assess and predict the optimal nutrient requirements for different crops. In present study, Decision Support System for Agro-technology Transfer (DSSAT) sub-model CSM-CROPGRO-Cotton-P was evaluated to estimate the observed and simulated P use in two cotton cultivars grown at three P application rates under the semi-arid climate of southern Punjab, Pakistan. The results revealed that both the cultivars performed best at medium rate of P application (57 kg ha −1 ) in terms of days to anthesis, days to maturity, seed cotton yield, total dry matter production, and harvest index during 2013 and 2014. Cultivar FH-142 performed better than MNH-886 in terms of different yield components. There was a good agreement between observed and simulated days to anthesis (0 to 1 day), days to maturity (0 to 2 days), seed cotton yield, total dry matter, and harvest index with an error of −4.4 to 15%, 12–7.5%, and 13–9.5% in MNH-886 and for FH-142, 4–16%, 19–11%, and 16–8.3% for growing years 2013 and 2014, respectively. CROPGRO-Cotton-P would be a useful tool to forecast cotton yield under different levels of P in cotton production system of the semi-arid climate of Southern Punjab.
copBerlin/Heidelberg
pubSpringer Berlin Heidelberg
doi10.1007/s11356-016-8311-8
pages5811-5823
date2017-02