Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1590/0103-9016-2013-0356 |
A crop model-based approach for sunflower yields | |
Dal Belo Leite, Joao Guilherme1,2; Silva, Joao Vasco1; Justino, Flavio Barbosa2; van Ittersum, Martin K.1 | |
通讯作者 | Dal Belo Leite, Joao Guilherme |
来源期刊 | SCIENTIA AGRICOLA
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ISSN | 1678-992X |
出版年 | 2014 |
卷号 | 71期号:5页码:345-355 |
英文摘要 | Pushed by the Brazilian biodiesel policy, sunflower (Helianthus annuus L.) production is becoming increasingly regarded as an option to boost farmers’ income, particularly under semi-arid conditions. Biodiesel related opportunities increase the demand for decision-making information at different levels, which could be met by simulation models. This study aimed to evaluate the performance of the crop model OILCROP-SUN to simulate sunflower development and growth under Brazilian conditions and to explore sunflower water- and nitrogen-limited, water-limited and potential yield and yield variability over an array of sowing dates in the northern region of the state of Minas Gerais, Brazil. For model calibration, ani experiment was conducted in which two sunflower genotypes (H358 and E122) were cultivated in a clayey soil. Growth components (leaf area index, above ground biomass, grain yield) and development stages (crop phenology) were measured. A database composed of 27 sunflower experiments from five Brazilian regions was used for model evaluation. The spatial yield distribution of sunflower was mapped using ordinary kriging in ArcGIS. The model simulated sunflower grain productivity satisfactorily (Root Mean Square Error approximate to 13%). Simulated yields were relatively high (1,750 to 4,250 kg ha(-1)) and the sowing window was fairly wide (Oct to Feb) for northwestern locations, where sunflower could be cultivated as a second crop (double cropping) at the end of the rainy season. The hybrid H358 had higher yields for all simulated sowing dates, growth conditions and selected locations. |
英文关键词 | production systems family farms biodiesel crops climate classification |
类型 | Article |
语种 | 英语 |
国家 | Netherlands ; Brazil |
收录类别 | SCI-E |
WOS记录号 | WOS:000343956400001 |
WOS关键词 | WATER-STRESSED SUNFLOWER ; RADIATION-USE EFFICIENCY ; PHENOLOGICAL DEVELOPMENT ; OILCROP-SUN ; GROWTH ; TEMPERATURE ; SIMULATION ; PHOTOPERIOD ; FARMERS ; CARBON |
WOS类目 | Agriculture, Multidisciplinary |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/184897 |
作者单位 | 1.Wageningen Univ, Plant Prod Syst Grp, NL-6700 AK Wageningen, Netherlands; 2.Univ Fed Vicosa, Dept Agr Engn, BR-36570000 Vicosa, MG, Brazil |
推荐引用方式 GB/T 7714 | Dal Belo Leite, Joao Guilherme,Silva, Joao Vasco,Justino, Flavio Barbosa,et al. A crop model-based approach for sunflower yields[J],2014,71(5):345-355. |
APA | Dal Belo Leite, Joao Guilherme,Silva, Joao Vasco,Justino, Flavio Barbosa,&van Ittersum, Martin K..(2014).A crop model-based approach for sunflower yields.SCIENTIA AGRICOLA,71(5),345-355. |
MLA | Dal Belo Leite, Joao Guilherme,et al."A crop model-based approach for sunflower yields".SCIENTIA AGRICOLA 71.5(2014):345-355. |
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