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

doi:10.11733/j.issn.1007-0435.2016.06.001

Acta Agrestia Sinica ›› 2016, Vol. 24 ›› Issue (6): 1155-1163.DOI: 10.11733/j.issn.1007-0435.2016.06.001

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

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

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

Abstract

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

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

CLC Number:

S541.9

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.

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.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: https://manu40.magtech.com.cn/Jweb_cdxb/EN/10.11733/j.issn.1007-0435.2016.06.001

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

References

[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

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

黄土高原紫花苜蓿产草量与营养品质预测

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	SONG Ci, HUANG Xiao-tao, SHI Guo-xi, ZHOU Hua-kun, WANG Fang-ping, YAO Bu-qing. Effects of Sowing Dates on the Growth and Forage Quality of Oat on the Qinghai-Tibet Plateau [J]. Acta Agrestia Sinica, 2021, 29(S1): 121-127.
[2]	SUN Lei-lei, ZHAO Gui-qin, CHAI Ji-kuan, LIU Fu-yuan, Nie Xiumei, WANG Jun. Effects of Storage Methods and Time on Mould Quantity and Species in Alfalfa Hay [J]. Acta Agrestia Sinica, 2021, 29(5): 884-893.
[3]	LI Wen-jing, WANG Jun-feng, GAO Xiao-di, SHI Yu-jie, MU Chun-sheng. Effects of Nitrogen and Phosphorus Addition on the Hay Yield and Quality of Leymus chinensis Under Drought Conditions [J]. Acta Agrestia Sinica, 2021, 29(4): 743-748.
[4]	SU Li-he, ZHANG Fan-fan, WANG Xu-zhe, WANG Ting, FU Dong-qing, MA Chun-hui. Effects of Snow Cover on the Yield and Nutritional Quality of Alfalfa with Different Fall-dormancy Levels [J]. Acta Agrestia Sinica, 2021, 29(2): 356-363.
[5]	HE Fu-quan, CHEN Dong-dong, LI Qi, HUO Li-li, ZHAO Liang, LI Chun-li, CHEN Xin. Temporal and Spatial Patterns of Herbage and Nutrient Carrying Capacity of Alpine Grassland of Sanjiangyuan [J]. Acta Agrestia Sinica, 2021, 29(12): 2808-2816.
[6]	YU Hong-qian, OU Cheng-ming, WANG Zhan-jun, MAO Pei-sheng, LI Man-li, WANG Chong, MA Deng. Effects of Agronomic Measures on Seed Yield Components of Alfalfa [J]. Acta Agrestia Sinica, 2021, 29(12): 2853-2861.
[7]	FU Dong-qing, WANG Yan-chao, SONG Lei, WANG Xu-zhe, ZHANG Fan-fan, MA Chun-hui. Effects of Nitrogen Application Rate and Planting Density on Production Performance of Early Maturing Forage Oat in Shihezi,Xinjiang [J]. Acta Agrestia Sinica, 2021, 29(10): 2364-2371.
[8]	WANG Wei-qiang, LIU Jing, TIAN Xin-hui, DU Wen-hua. Evaluations on the Adaptability of Triticosecale Wittmack ‘Gannong No.4’ in Different Regions of Qinghai Province [J]. Acta Agrestia Sinica, 2020, 28(6): 1626-1634.
[9]	QIN Yan, LIU Yong, ZHANG Yong-chao, LIANG Guo-ling, LIU Wen-hui. Effects of Mixed Ratios on Plant Growth Characteristics in Mixed Grassland of the Oat and Vetch Pea [J]. Acta Agrestia Sinica, 2020, 28(6): 1768-1774.
[10]	MA Xue-yao, SUI Xiao-qing, LI Jun-ming, ZHANG Bo. Effects of Spraying GA₃ on Flower and Pod Endogenous Hormones and Yield Component Factors of Alfalfa [J]. Acta Agrestia Sinica, 2020, 28(5): 1294-1300.
[11]	XIA Hong-ze, ZHANG Lin-lin, WANG Yin-meng, SUN Lu, Wang Lei, LIU Shu-jie, CUI Zhan-hong, LIU Ming-lian. Evaluation of Fermentation Characteristics of Different Grading Indexes Corn Silage and Alfalfa Hay Combination Using in Vitro Gas Production [J]. Acta Agrestia Sinica, 2020, 28(4): 1136-1144.
[12]	Saimilakezi·TAIWAIKULI, JIN Gui-li, AN Sha-zhou, DONG Yi-qiang, YUE Yong-huan, HAN Wan-qiang. Effects of Different Plant Height on Biomass Allocation of Achnatherum inebrians [J]. Acta Agrestia Sinica, 2020, 28(3): 863-868.
[13]	NAN Li-li, WEN Su-jun, WEI Fan, LI Bing-yue. Studies on the Forage Yield and Nutritional Value of New Sainfoin Lines [J]. Acta Agrestia Sinica, 2020, 28(2): 383-388.
[14]	LI Dan-dan, GONG Hao, LIU Guo-fu, YAN De-peng, YUAN Yu-ying, XIAO Zhi-xin, BAI Zhen-jian, CUI Guo-wen. Effects of Spraying Different Foliar Fertilizers on Growth,Yield and Quality and Economic Benefit of Alfalfa [J]. Acta Agrestia Sinica, 2019, 27(6): 1718-1724.
[15]	LI Yu-yu, GE Gen-tu, JIANG Xiao-wei, WU Hong-xin, LIU Ting-yu, WANG Wei, HAO Jun-feng, JIA Yu-shan. Effects of Rain and Thickness of Grass Strip on the Drying Characteristics and Nutrition Quality of Natural Grass Hay [J]. Acta Agrestia Sinica, 2019, 27(5): 1419-1424.