干旱区生态环境知识资源中心(Arid): Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate

Arid

DOI	10.1016/j.fcr.2017.07.007
	Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate
	Rahman, Muhammad Habib Ur 1,2; Ahmad, Ashfaq 3,4; Wajid, Aftab 3; Hussain, Manzoor 5; Rasul, Fand 2,3; Ishaque, Wajid 5; Islam, Md Aminul 2,6; Shelia, Vakhtang 2,7; Awais, Muhammad 8; Ullah, Asmat 9; Wahid, Abdul 10; Sultana, Syeda Refat 11; Saud, Shah 12; Khan, Shahbaz 13; Fahad, Shah 13,14; Hussai, Manzoor 15; Hussain, Saddam 13,16; Nasim, Wajid 11,17,18
通讯作者	Rahman, Muhammad Habib Ur ; Fahad, Shah ; Nasim, Wajid
来源期刊	FIELD CROPS RESEARCH
ISSN	0378-4290
EISSN	1872-6852
出版年	2019
卷号	238 页码:139-152
英文摘要	Simulation models are widely used for making decision support especially under sub-optimal climatic conditions for yield improvement. The impact of uncertain weather conditions on cotton production can be explored with the aid of such models. Cotton, being the queen of fibers, enjoys itself a predominant position amongst all other cash crops and has the potential to narrow the gap between production and consumption of fiber and edible oil. The goal of the study was to evaluate the performance of Cropping System Model CROPGRO-Cotton for examining temporal variation in cultivars and to determine the potential impact of planting dates. The model was calibrated using a diverse range of field observation for phenology, growth and seed cotton yield (SCY) and its components of 20-April planting date, genetic coefficients were estimated using Generalized Likelihood Uncertainty Estimation (GLUE) and sensitivity analysis sub modules in CSM-DSSAT. Calibrated and evaluated results were reasonably good for phenology, growth, boll weight, SCY and yield attributes with good statistics. Simulation and observed data revealed the decreasing trend with delayed planting for all cultivars. Phenological phases were predicted well with high d-index ( > 0.94 and > 0.85), and the dynamics of time series for LAI and biomass were predicted also well (d > 0.96 and > 0.98), respectively during model evaluation for all planting dates and cultivars. Seed cotton yield was simulated with lower RMSE (137-382) at final picking, while dynamics of time series for SCY were predicted reasonably well with high values of d-index (0.95-0.99) for all cultivars during model evaluation. Planting date analyses of the years (1980-2013) agreed with observed SCY trend, showed decrease of 27% for delayed planting from 20-April to 21-June while first too early planting (10-March) had also faced 8% reduction for all cultivars. Cultivars [MNH-886, NIAB-9811 (NIAB-Kiran) and NIAB-112] outperformed with higher SCY predominantly due to longer appropriate growing season by utilizing optimal weather conditions, attained optimum growth at all key phenological phases. Cultivar NIAB-112 performed well being a short duration and attained high SCY for late planting (1-June) as well during the growing years. Cotton cultivars planting during 1-April-10-May can be suggested for the farmer's field to avoid weather stress and to improve utilization of resources for sustainable cotton production in the region. Result demonstrated the model potential for decision support for cotton management practices in the region, including identifying optimum planting dates for cotton production.
英文关键词	DSSAT Temporal variation Calibration Evaluation Application Pakistan
类型	Article
语种	英语
国家	Pakistan ; USA ; Bangladesh ; Peoples R China ; France ; Australia
收录类别	SCI-E
WOS记录号	WOS:000471082100013
WOS关键词	CERES-MAIZE MODEL ; GLOBAL SENSITIVITY-ANALYSIS ; OILCROP-SUN MODEL ; SUNFLOWER HYBRIDS ; SIMULATION-MODELS ; HIGH-TEMPERATURE ; HEAT TOLERANCE ; GROWTH ; NITROGEN ; YIELD
WOS类目	Agronomy
WOS研究方向	Agriculture
来源机构	Commonwealth Scientific and Industrial Research Organisation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215634
作者单位	1.Muhammad Nawaz Shareef Univ Agr, Dept Agron, Multan, Pakistan; 2.Washington State Univ, AgWeatherNet, Prosser, WA USA; 3.Univ Agr Faisalabad, Dept Agron, Agroclimatol Lab, Faisalabad, Pakistan; 4.Univ Agr Faisalabad, USPCAS AFS, Program Chair Climate Change, Faisalabad, Pakistan; 5.NIAB, Faisalabad, Pakistan; 6.Dept Agr Extens, Dhaka, Bangladesh; 7.Univ Florida, ISFS, Agr & Biol Engn Dept, Gainesville, FL 32611 USA; 8.Islamia Univ Bahwalpur, Univ Coll Agr & Environm Sci, Dept Agron, Bahawalpur, Pakistan; 9.AARI, Faisalabad, Pakistan; 10.Bahauddin Zakariya Univ, Dept Environm Sci, Multan, Pakistan; 11.COMSATS Inst Informat Technol CIIT, Dept Environm Sci, Vehari, Pakistan; 12.Northeast Agr Univ Harbin, Coll Hort, Harbin 150030, Heilongjiang, Peoples R China; 13.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Hubei, Peoples R China; 14.Abdul Wali Khan Univ Mardan, Dept Agr, Khyber Pakhtunkhwa, Pakistan; 15.Nucl Inst Agr & Biol, Plant Breeding & Genet Div, Faisalabad, Pakistan; 16.Univ Agr Faisalabad, Dept Agron, Faisalabad, Pakistan; 17.IAMM, CIHEAM, F-34090 Montpellier, France; 18.CSIRO Sustainable Agr, Natl Res Flagship, Toowoomba, Qld 4350, Australia
推荐引用方式 GB/T 7714	Rahman, Muhammad Habib Ur,Ahmad, Ashfaq,Wajid, Aftab,et al. Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate[J]. Commonwealth Scientific and Industrial Research Organisation,2019,238:139-152.
APA	Rahman, Muhammad Habib Ur.,Ahmad, Ashfaq.,Wajid, Aftab.,Hussain, Manzoor.,Rasul, Fand.,...&Nasim, Wajid.(2019).Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate.FIELD CROPS RESEARCH,238,139-152.
MLA	Rahman, Muhammad Habib Ur,et al."Application of CSM-CROPGRO-Cotton model for cultivars and optimum planting dates: Evaluation in changing semi-arid climate".FIELD CROPS RESEARCH 238(2019):139-152.