黄土高原紫花苜蓿产草量与营养品质预测

doi:10.11733/j.issn.1007-0435.2016.06.001

草地学报 ›› 2016, Vol. 24 ›› Issue (6): 1155-1163.DOI: 10.11733/j.issn.1007-0435.2016.06.001

• 专论与进展 • 下一篇

黄土高原紫花苜蓿产草量与营养品质预测

胡安, 康颖, 侯扶江

草地农业生态系统国家重点实验室兰州大学草地农业科技学院, 甘肃兰州 730020

收稿日期:2016-04-28 修回日期:2016-10-25 出版日期:2016-12-15 发布日期:2017-03-18
通讯作者: 侯扶江
作者简介:胡安(1991-),男,安徽明光人,博士,主要从事草地资源利用与管理研究,E-mail:hua09@lzu.edu.cn
基金资助:
973国家重点基础研究计划课题（2014CB138706）；教育部创新团队“草地农业系统耦合与管理”（IRT13019）；公益性行业（农业）科研专项（201403071-6）资助

The Prediction of Alfalfa Forage Composition and Yield Established on Loess Plateau

HU An, KANG Ying, HOU Fu-jiang

Key Laboratory of Grassland Farming Systems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu Province 730020, China

Received:2016-04-28 Revised:2016-10-25 Online:2016-12-15 Published:2017-03-18

摘要/Abstract

摘要：

为了预测紫花苜蓿（Medicago sativa）的产草量和营养品质，通过2009年和2010年两年的田间试验，获得不同刈割时间的紫花苜蓿株高、产量（包括茎产量和叶产量）和干草样品，分析了样品的中性洗涤纤维、酸性洗涤纤维、粗纤维、粗蛋白，并比较了各指标之间的相互关系。分别建立了基于株高的产草量与营养品质预测模型（草产量：y_Total=0.1256x^2.2866，R²=0.8898，粗蛋白含量：y_CP=50.103x^-0.369，R²=0.8625，中性洗涤纤维：y_NDF=0.4902x+13.728，R²=0.8586，酸性洗涤纤维：y_ADF=0.371x+9.3476，R²=0.8678，粗纤维：y_CF=0.3556x+4.598，R²=0.8855），以及基于产草量的产量构成和营养品质预测模型，基于产量构成的营养品质预测模型，基于株高、草产量和产量构成的营养品质预测模型，和营养品质之间相互预测模型等。结果表明预测模型的准确性较高，成本降低96%，可以为黄土高原雨养耕作区紫花苜蓿的管理提供科学依据。

关键词: 干草, 粗蛋白, 粗纤维, 产量构成, 茎叶比, 株高

Abstract:

For predicting the yield and nutritional quality of alfalfa, different mowing time of alfalfa plant height, yield (including stem yield and leaf yield) data and hay samples were got through the field experiment in 2009 and 2010, the neutral detergent fiber, acid detergent fiber, crude protein, crude fiber and the relationship between the indexes were analyzed. the yield and nutritional quality prediction models were seperately established based on plant height (hay yield:y_Total=0.1256x^2.2866, R²=0.8898, crude protein content:y_CP=50.103x^-0.369, R²=0.8625, neutral detergent fiber:y_NDF=0.4902x+13.728, R²=0.8586, acid detergent fiber:y_ADF=0.371x+9.3476,R²=0.8678,crude fiber:y_CF=0.3556x+4.598, R²=0.8855), yield components and nutritional quality prediction model based on hay yield, nutritional quality prediction model based on yield components, based on the plant height, hay yield and yield components of nutritional quality prediction model, and the prediction model between nutritional quality. Test results showed that the accuracy of the forecasting model was higher, and cost reduced by 96%. The results of the study could provide scientific reference and management of alfalfa in the area of rainfed farming region on the loess plateau.

Key words: Hay, Crude protein, Crude fiber, Yield component, Stem-leaf ratio, Plant height

中图分类号:

S541.9

胡安, 康颖, 侯扶江. 黄土高原紫花苜蓿产草量与营养品质预测[J]. 草地学报, 2016, 24(6): 1155-1163.

HU An, KANG Ying, HOU Fu-jiang. The Prediction of Alfalfa Forage Composition and Yield Established on Loess Plateau[J]. Acta Agrestia Sinica, 2016, 24(6): 1155-1163.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://manu40.magtech.com.cn/Jweb_cdxb/CN/10.11733/j.issn.1007-0435.2016.06.001

https://manu40.magtech.com.cn/Jweb_cdxb/CN/Y2016/V24/I6/1155

参考文献

[1] 王鑫,马永祥,李娟. 紫花苜蓿营养成分及主要生物学特性[J]. 草业科学,2003,20(10):39-41
[2] 张杰,贾志宽,韩清芳. 不同养分对苜蓿茎叶比和鲜干比的影响[J]. 西北农业学报,2007,16(4):121-125
[3] 徐炜,师尚礼,祁娟,等. 不同添加剂对夏河县紫花苜蓿青贮品质的影响[J]. 草地学报,2014,22(2):414-419
[4] 王加亭,赵恩泽. 2013年我国牧草种植生产情况[J]. 中国畜牧业,2014,(24):33-34
[5] 新华网, 中共中央国务院关于加大改革创新力度加快农业现代化建设的若干意见[EB/OL]. http://news.xinhuanet.com/politics/2015-02/01/c_1114209962.htm,2015-02-01/2015-04-10
[6] 荷斯坦奶农俱乐部网, 2014中国进口苜蓿干草超88万吨美占96%同比增17%[EB/OL]. http://www.hesitan.com/dingniu_focus/2015-01-29/141619.chtml,2015-01-29/2015-04-10
[7] 陈谷,颜俤,邰建辉,等. 苜蓿质量预测方法研究进展[J]. 草原与草坪,2012,32(4):86-89
[8] Montazar, Aliasghar. Predicting alfalfa hay production as related to water distribution functions[J]. Irrigation & Drainage,2010,59(2):189-202
[9] Olfert K, Olfert K. Predicting Forage Nutritive Value from Height and Maturity of Alfalfa in Saskatchewan, Canada[J]. Peaq,2003:57-67
[10] Hintz R W, Albrecht K A. Prediction of Alfalfa Chemical Composition from Maturity and Plant Morphology[J]. Crop Science,1991,31(6):1561-1565
[11] J García, L Pérez-Alba, C Alvarez, et al. Prediction of the nutritive value of lucerne hay in diets for growing rabbits[J]. Animal Feedence & Technology,1995,54(1):33-44
[12] Santillanocázares J,Carmonavictoria M,Contrerasgovea F E, et al. Applicability of Predictive Equations for Alfalfa Quality to Southwestern United States and Northern Mexico[J]. Crop Science,2014,54:2880-2885
[13] Sulc R M, Albrecht K A, Cherney J H, et al. Field Testing a Rapid Method for Estimating Alfalfa Quality[J]. Agronomy Journal,1997,89(6):952-957
[14] Parsons D, Cherney J H, Gauch H G. Alfalfa Fiber Estimation in Mixed Stands and Its Relationship to Plant Morphology[J]. Crop Science,2006a,46(6):2446-2452
[15] Parsons D, Cherney J H, Gauch H G. Estimation of Spring Forage Quality for Alfalfa in New York State[J]. Plant Health Progress,2006b,4(1):1-7
[16] Parsons D, Peterson P R, Cherney J H. Estimation of Nutritive Value of Spring Alfalfa-Grass Mixtures using In-Field Measurements and Growing Degree Data[J]. Forage & Grazinglands,2013,12(1):1-7
[17] Sanderson M A. Predictors of Alfalfa Forage Quality:Validation with Field Data[J]. Crop Science,1992,32(1):245-250
[18] Fick G W, Onstad D W. Statistical models for predicting alfalfa herbage quality from morphological or weather data[J]. Journal of Production Agriculture,1988,1(2):160-166
[19] Andrzejewska J, Contreras-Govea F E, Albrecht K A. Field prediction of alfalfa (Medicago sativa L.) fibre constituents in northern Europe[J]. Grass & Forage Science,2014,69(69):348-355
[20] Hakl J, Šantru??ek J, Fuksa P, et al. The use of indirect methods for the prediction of lucerne quality in the first cut under the conditions of Central Europe[J]. Czech Journal of Animal Science,2010,55(6):258-265
[21] Kalu B A, Fick G W. Quantifying Morphological Development of Alfalfa for Studies of Herbage Quality[J]. Crop Science,1981,21(2):267-271
[22] Owens V N, Albrecht K A, Hintz R W. A rapid method for predicting alfalfa quality in the field[J]. Journal of Production Agriculture,1995,8(4):491-495
[23] 任继周. 分类、聚类与草原类型[J]. 草地学报,2008,16(1):4-10
[24] 侯扶江,南志标,任继周. 作物-家畜综合生产系统[J]. 草业学报,2009,18(5):211-234
[25] 姜慧新,沈益新,翟桂玉,等. 施磷对紫花苜蓿分枝生长及产草量的影响[J]. 草地学报,2009,17(5):588-592.
[26] 程积民,程杰,高阳. 半干旱区退耕地紫花苜蓿生长特性与土壤水分生态效应[J]. 草地学报,2011,19(4):565-569
[27] 徐磊. 陇东黄土高原农业系统的环境适应性和生产力调控[D]. 兰州:兰州大学,2015:71-88
[28] 谢琮. 基于小麦群体指标及氮营养状况的籽粒产量和品质预测研究[D]. 南京:南京农业大学,2011:6-8
[29] 何理. 水稻叶片氮素含量及产量、相关品质高光谱预测模型的初步研究[D]. 扬州:扬州大学,2014:3-5
[30] Mishra A, Hansen J W, Dingkuhn M, et al. Sorghum yield prediction from seasonal rainfall forecasts in Burkina Faso[J]. Agricultural & Forest Meteorology,2008,148(11):1798-1814

黄土高原紫花苜蓿产草量与营养品质预测

The Prediction of Alfalfa Forage Composition and Yield Established on Loess Plateau

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	宋词, 黄小涛, 石国玺, 周华坤, 王芳萍, 姚步青. 播期对青藏高原燕麦生长和饲草品质的影响[J]. 草地学报, 2021, 29(S1): 121-127.
[2]	孙雷雷, 赵桂琴, 柴继宽, 刘富渊, 聂秀美, 王军. 贮藏方式和贮藏时间对苜蓿干草霉菌数量和种类的影响[J]. 草地学报, 2021, 29(5): 884-893.
[3]	李文晶, 王俊锋, 高晓荻, 石玉杰, 穆春生. 干旱条件下氮磷添加对羊草干草产量及饲用品质的影响[J]. 草地学报, 2021, 29(4): 743-748.
[4]	贺福全, 陈懂懂, 李奇, 霍莉莉, 赵亮, 李春丽, 陈昕. 三江源区高寒草地营养承载力时空格局[J]. 草地学报, 2021, 29(12): 2808-2816.
[5]	付东青, 王彦超, 宋磊, 王旭哲, 张凡凡, 马春晖. 施氮量和种植密度对石河子复播早熟饲用燕麦生产性能的影响[J]. 草地学报, 2021, 29(10): 2364-2371.
[6]	王伟强, 刘晶, 田新会, 杜文华. 甘农4号’小黑麦品种在青海省不同区域的适应性评价[J]. 草地学报, 2020, 28(6): 1626-1634.
[7]	秦燕, 刘勇, 张永超, 梁国玲, 刘文辉. 不同混播比例对燕麦和箭筈豌豆混播草地植物生长特征的影响[J]. 草地学报, 2020, 28(6): 1768-1774.
[8]	马雪瑶, 隋晓青, 李俊明, 张博. 叶面喷施GA₃对紫花苜蓿花荚内源激素及种子产量构成的影响[J]. 草地学报, 2020, 28(5): 1294-1300.
[9]	夏洪泽, 张琳琳, 王银梦, 孙璐, 王磊, 刘书杰, 崔占鸿, 刘明莲. 体外产气法评价不同分级指数玉米青贮—苜蓿干草组合发酵特性[J]. 草地学报, 2020, 28(4): 1136-1144.
[10]	赛米拉克孜·台外库力, 靳瑰丽, 安沙舟, 董乙强, 岳永寰, 韩万强. 不同株高对醉马草生物量分配的影响[J]. 草地学报, 2020, 28(3): 863-868.
[11]	李丹丹, 巩皓, 刘国富, 闫得朋, 袁玉莹, 肖知新, 白珍建, 崔国文. 不同叶面肥对紫花苜蓿生长、产草量和品质的影响及效益比较[J]. 草地学报, 2019, 27(6): 1718-1724.
[12]	李宇宇, 格根图, 降晓伟, 吴洪新, 刘庭玉, 王伟, 郝俊峰, 贾玉山. 雨淋及草条厚度对天然牧草干草干燥特性和营养品质的影响[J]. 草地学报, 2019, 27(5): 1419-1424.
[13]	沙栢平, 李雪, 谢应忠, 彭文栋, 高雪芹, 蔡伟, 伏兵哲. 株行配比对滴灌苜蓿种子产量及其产量构成因子的影响[J]. 草地学报, 2019, 27(3): 751-759.
[14]	马钊, 郑桂亮, 何峰, 仝宗永, 姬娇娇, 徐洪雨, 李振松, 曹婧, 万里强, 李向林. 施用有机无机复混肥对盐碱地紫花苜蓿生产性能、营养品质和土壤养分含量的影响[J]. 草地学报, 2019, 27(2): 466-472.
[15]	郝培彤, 李玉龙, 宁亚明, 高秋, 刘芳, 吉高, 张尚雄, 王显国. 不同干旱处理对科尔沁沙地不同苜蓿品种生产性能的影响[J]. 草地学报, 2018, 26(6): 1368-1373.