DairyMod在四川盆地多花黑麦草生产中的验证与应用

doi:10.11733/j.issn.1007-0435.2015.05.028

草地学报 ›› 2015, Vol. 23 ›› Issue (5): 1086-1092.DOI: 10.11733/j.issn.1007-0435.2015.05.028

DairyMod在四川盆地多花黑麦草生产中的验证与应用

杨秀梅¹, 张新全¹, 张英俊², 孙飞达¹, 杨春华¹, Hannaway B. David³

1. 四川农业大学动物科技学院, 四川成都 611130;
2. 中国农业大学草地研究所, 北京 100094;
3. 美国俄勒冈州立大学作物与土壤学院, 俄勒冈州科瓦利斯 97331

收稿日期:2015-03-09 修回日期:2015-06-14 出版日期:2015-10-15 发布日期:2015-12-01
通讯作者: 张新全, 张英俊
作者简介:杨秀梅(1990-),女,内蒙古呼和浩特人,硕士,研究方向为牧草产量模拟模型及草地遥感,E-mail:yxm2008bj@126.com
基金资助:
国家现代牧草产业技术体系(CARS-35-05);中国工程院重大咨询项目(2012-ZD-7-1);国家科技支撑计划项目(2011BAD17B03)资助

DairyMod Validation and Application for Lolium multiflorum Production in Sichuan Plain

YANG Xiu-mei¹, ZHANG Xin-quan¹, ZHANG Ying-jun², Sun Fei-da¹, YANG Chun-hua¹, Hanaway B. David³

1. Department of Animal Sciences, Sichuan Agricultural University, Chengdu, Sichuan Province 611130, China;
2. Institute of Grassland Sciences, China Agricultural University, Beijing 100094, China;
3. Department of Crop & Soil Science, Oregon State University, Corvallis, OS 97331, USA

Received:2015-03-09 Revised:2015-06-14 Online:2015-10-15 Published:2015-12-01

摘要/Abstract

摘要：

介绍了DairyMod模型的结构和功能,应用刈割模式对多花黑麦草(Lolium multiflorum)的生长速率、干草总产量进行模拟和验证。在输入牧草实际生育期和调整生理参数的基础上,采用当地气象观测站1991-2012年气象数据作为驱动模拟。通过收集四川省雅安7年和洪雅4年多花黑麦草的生产数据,运用多个统计指标对干草总产量的模拟进行检验。两地的生长速率模拟值与实测值基本一致,干物质总产量模拟值与实际值显著相关,决定系数R²分别为0.97和0.91,D值分别为0.94和0.58,RMSE分别为340和1132 kg·hm^-2;NRMSE分别为2.3%和7.5%。模拟平均值比实测平均值分别高2.0%和4.5%,产量的高估可能是由于模拟施氮量大于生产施氮量而导致。结果表明,多花黑麦草在洪雅的生长速率和总产量大于在雅安,校准后的DairyMod对四川多花黑麦草的季节生产和总产量有较好的模拟和预测。

关键词: DairyMod, 产量模拟, 生长速率, 总产量, 多花黑麦草, 冷季型

Abstract:

DairyMod, biophysical pasture simulation model, is composed of numerous modules with a common underlying structure. The mowing patterns were introduced and used to simulate the growth rate of annual ryegrass(Lolium multiflorum) and evaluate total yield in the growth season. The default parameter sets of the model were collected including pasture species, soil water characteristics, soil organic matter and nutrient characteristics, and livestock. Local meteorological climate data from 1991 to 2012 were used to run the model. The trial data of annual ryegrass(Lolium multiflorum) were collected in Yaan(7 years) and Hongya(4 years) experimental stations, used to validate the simulation results in Sichuan province including growth speed and total dry matter yield in growth season. The results showed that the simulating growth rate of the model was consistent with the measured values in both Yaan and Hongya station, modeled dry matter production matched well with the observed ones(R²=0.97,D=0.94, RMRE=340 kg·hm^-2, NRMRE=2.3% at Yaan and R²=0.91, D=0.58, RMRE=1132 kg·hm^-2, NRMRE=4.5% at Hongya, respectively). Annual ryegrass had higher potential production in Hongya than in Yaan. Though there was a slight overestimation according to the summary of model climate data, it could be used as an effective tool of herbage yield prediction in forage and livestock system. Therefore, DairyMod can accurately simulate the annual ryegrass growth rate and yield. It will provide an important technique for forage quantitative evaluation.

Key words: DairyMod, Forage production simulation, Growth rate, Total production, Annual ryegrass, Cool-season forage

中图分类号:

S543.6

杨秀梅, 张新全, 张英俊, 孙飞达, 杨春华, Hannaway B. David. DairyMod在四川盆地多花黑麦草生产中的验证与应用[J]. 草地学报, 2015, 23(5): 1086-1092.

YANG Xiu-mei, ZHANG Xin-quan, ZHANG Ying-jun, Sun Fei-da, YANG Chun-hua, Hanaway B. David. DairyMod Validation and Application for Lolium multiflorum Production in Sichuan Plain[J]. Acta Agrestia Sinica, 2015, 23(5): 1086-1092.

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参考文献

[1] 任继周. 中国南方草地现状与生产潜力[J]. 草业学报,1999,12(8):23-31
[2] Tharmaraj J,Chapman D F,Nie Z N,et al. Herbage accumulation,botanical composition,and nutritive value of five pasture types for dairy production in southern Australia[J]. Australian Journal of Agricultural Research,2007,59(2):127-138
[3] Parsons A J,Johnson I R,Harvey A. The use of a model to optimize the interaction between the frequency and severity of intermittent defoliation and to provide a fundamental comparison of the continuous and intermittent defoliation of grass[J]. Grass and Forage Science,1988,43(1):49-59
[4] 白文明,左强,李保国,等. 乌兰布和沙区紫花苜蓿根系吸水模型[J]. 植物生态学报,2001,25(4):431-437
[5] 白文明,包雪梅. 乌兰布和沙区紫花苜蓿生长发育模拟模型研究[J]. 生态学报,2002,13(12):1605-1609
[6] 朱玉洁. 紫花苜蓿生长模拟模型(ALFASM)研究[D]. 北京:中国农业大学,2004:61-63
[7] 朱玉洁,冯利平,易鹏,等. 紫花苜蓿光合生产与干物质积累模拟模型研究[J]. 作物学报,2007,33(10):1682-1687
[8] 张明艳. 紫花苜蓿生长模拟模型及可视化研究[D]. 兰州:甘肃农业大学,2012:58-59
[9] Johnson I R. DairyMod and the SGS Pasture Model:a mathematical description of the biophysical model structure[M]. IMJ Consultants, Dorrigo, NSW, Australia. 2013:20-50
[10] Cullen B R,Eckard R J,Callow M N,et al. Simulating pasture growth rates in Australian and New Zealand grazing systems[J]. Crop and Pasture Science,2008,59(8):761-768
[11] Bewley J D,Krochko J E,Robert H K,et al. Proceedings of the Fifth Canadian Mathematical Congress[M]. Toronto:University of Toronto Press,1963:75-76
[12] Chapman D F,Kenny S,Beca D,et al. Alternative feedbase systems for southern Australia dairy farms. 1. Predicted pasture/crop consumption and farm financial performance[M]. In 20th International Grassland Congress:Offered papers. Eds. O'Mara,FP,2005:461
[13] Berger H,Machado C F,Agnusdei M,et al. Use of a biophysical simulation model(DairyMod) to represent tall fescue pasture growth in Argentina[J]. Grass and Forage Science,2014,69(3):441-453
[14] Johnson I R,Lodge G M,White R E. The Sustainable Grazing Systems Pasture Model:description, philosophy and application to the SGS National Experiment[J]. Australian Journal of Experimental Agriculture,2003,43(8):711-728
[15] Chapman D F,McCaskill M R,Quigley P E,et al. Effects of grazing method and fertilizer inputs on the productivity and sustainability of phalaris-based pastures in Western Victoria[J]. Australian Journal of Experimental Agriculture,2003,43(8):785-798
[16] Johnson I R. Biophysical pasture model documentation:model documentation for DairyMod.EcoMod and the SGS Pasture Model[M]. IMJ Consultants:Armidale,NSW,2008:50-60
[17] 张磊,刘东燕,邵涛. 黑麦草的饲用价值及其应用前景[J]. 草业科学,2008,25(4):64-69
[18] Allen R G,Pereira L S,Raes D,et al. Crop evapotranspiration-Guidelines for computing crop water requirements[S]. FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization of the United Nations,Rome,Italy,1989
[19] Goudriaan J,Van L H. Modelling Potential Crop Growth Processes[M]. Kluwer:Kluwer Academic Publishers,1994:52
[20] 张新全,杨春华. 多花黑麦草新品系产量及农艺性状研究初探[J]. 四川草原,2004(3):23-26
[21] 杨文轩. 多花黑麦草品种间杂交F2代分子标记形态性状分析及品种(系)生产性能评价[D]. 雅安:四川农业大学,2010:23
[22] 罗永聪. 多花黑麦草品种(系)农艺性状综合评价及SSR指纹图谱构建[D]. 雅安:四川农业大学,2013:45
[23] 王绍飞,罗永聪,张新全,等. 14个多花黑麦草品种(系)在川西南地区生产性能综合评价[J]. 草业学报,2014,23(6):87-94
[24] 何峰,李向林,白静仁,等. 四川低山丘陵区冷季型牧草引种试验[J]. 草地学报,2006,14(1):89-91
[25] 李向林,万里强,杨春华,等. 南方草地研究[M]. 北京:科学出版社,2010:51-52
[26] Hannaway D,Fransen J,Cropper M,et al. Annual Ryegrass[M]. PNW Bull,1999:3
[27] Michele R,Nicola L,Zina F. Evaluation and application of the OILCROP-SUN model for sunflower in southern Italy[J]. Agricultural Systems,2003,78(1):17-30
[28] 张继澍. 植物生理学[M]. 高等教育出版社,2006:200-202
[29] Johnson I. Guide to using DairyMod and the SGS Pasture Model[M]. IMJ Consultants,Dorrigo,NSW,Australia,2013:3

DairyMod在四川盆地多花黑麦草生产中的验证与应用

DairyMod Validation and Application for Lolium multiflorum Production in Sichuan Plain

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