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

Amin, Asad, Nasim, Wajid, Mubeen, Muhammad, Nadeem, Muhammad, Ali, Liaqat, Hammad, Hafiz Mohkum, Sultana, Syeda Refat, Jabran, Khawar, Rehman, M. Habib ur, Ahmad, Shakeel, Awais, Muhammad, Rasool, Atta, Fahad, Shah, Saud, Shah, Shah, Adnan Noor, Ihsan, Zahid, Ali, Shahzad, Bajwa, Ali Ahsan, Hakeem, Khalid Rehman, Ameen, Asif, Amanullah, Rehman, Hafeez Ur, Alghabar, Fahad, Jatoi, Ghulam Hussain, Akram, Muhammad, Khan, Aziz, Islam, Faisal, Ata-Ul-Karim, Syed Tahir, Rehmani, Muhammad Ishaq Asif, Hussain, Sajid, Razaq, Muhammad and Fathi, Amin (2017) Optimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan. Environmental Science and Pollution Research, 24 6: 1-13. doi:10.1007/s11356-016-8311-8


Author Amin, Asad
Nasim, Wajid
Mubeen, Muhammad
Nadeem, Muhammad
Ali, Liaqat
Hammad, Hafiz Mohkum
Sultana, Syeda Refat
Jabran, Khawar
Rehman, M. Habib ur
Ahmad, Shakeel
Awais, Muhammad
Rasool, Atta
Fahad, Shah
Saud, Shah
Shah, Adnan Noor
Ihsan, Zahid
Ali, Shahzad
Bajwa, Ali Ahsan
Hakeem, Khalid Rehman
Ameen, Asif
Amanullah
Rehman, Hafeez Ur
Alghabar, Fahad
Jatoi, Ghulam Hussain
Akram, Muhammad
Khan, Aziz
Islam, Faisal
Ata-Ul-Karim, Syed Tahir
Rehmani, Muhammad Ishaq Asif
Hussain, Sajid
Razaq, Muhammad
Fathi, Amin
Title Optimizing the phosphorus use in cotton by using CSM-CROPGRO-cotton model for semi-arid climate of Vehari-Punjab, Pakistan
Journal name Environmental Science and Pollution Research   Check publisher's open access policy
ISSN 1614-7499
0944-1344
Publication date 2017-01-04
Year available 2017
Sub-type Article (original research)
DOI 10.1007/s11356-016-8311-8
Open Access Status Not yet assessed
Volume 24
Issue 6
Start page 1
End page 13
Total pages 13
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Subject 2304 Environmental Chemistry
2310 Pollution
2307 Health, Toxicology and Mutagenesis
Abstract 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) 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.
Formatted abstract
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.
Keyword Cotton cultivars
Crop modeling
DSSAT
Environmental protection
Phosphorus
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 4915_2015
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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