21个苜蓿品种主要农艺性状关联分析与综合评价

doi:10.11686/cyxb2014541

草业学报 ›› 2015, Vol. 24 ›› Issue (11): 174-182.DOI: 10.11686/cyxb2014541

21个苜蓿品种主要农艺性状关联分析与综合评价

伏兵哲¹, 高雪芹², 高永发¹, 李东宁⁴, 张龙⁴, 张蓉^{3, *}

1.宁夏大学农学院草业科学研究所,宁夏银川 750021; 2.宁夏大学科学技术处,宁夏银川 750021; 3.宁夏农林科学院植物保护研究所,宁夏银川 750001; 4.宁夏农垦茂盛草业有限公司, 宁夏银川 750023

收稿日期:2014-12-26 出版日期:2015-11-20 发布日期:2015-11-20
通讯作者: E-mail:yczhrnx@163.com
作者简介:伏兵哲(1982-),男,陕西扶风人,副教授,博士。
基金资助:
宁夏高等学校科学技术研究项目(NGY2014059),国家牧草产业体系盐池综合试验站(CARS-35-42)和“十二五”国家科技支撑计划(2011 BAD17B05)资助

Correlation analysis of the main agronomic traits and performance of 21 alfalfa varieties

FU Bing-Zhe¹, GAO Xue-Qin², GAO Yong-Fa¹, LI Dong-Ning⁴, ZHANG Long⁴, ZHANG Rong^{3, *}

1.Grassland Science Institute, Agricultural College, Ningxia University, Yinchuan 750021, China; 2.Science and Technology Department, Ningxia University, Yinchuan 750021, China; 3.Institute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750001, China; 4.Ningxia Agricultural Reclamation Flourishing Grass Industry Company, Yinchuan 750023, China

Received:2014-12-26 Online:2015-11-20 Published:2015-11-20

摘要/Abstract

摘要： 为了明确苜蓿主要农艺性状与产量关系以及不同品种资源的生产特性,应用相关和灰色关联度对国内外21个苜蓿品种的主要农艺性状进行了关联性分析和生产性能综合评价。结果表明:生长速度,株高和鲜干比与干草产量的相关系数分别为0.87,0.86和0.55,存在极显著相关(P<0.01),同时灰色关联度较大,分别为0.8360,0.8330和0.7716,故这3个性状与干草产量之间有较大的关联性;单位面积植株数、一级分枝数和二级分枝数与干草产量不存在显著相关(P>0.05),且灰色关联度较小,分别为0.5921,0.6267和0.7406,与干草产量之间的关联性相对较小。通过最优关联度综合评价,甘农5号、金皇后、WL363HQ、WL319HQ和三得利与标准品种的关联度较大,在宁夏灌区生产性能表现较好;而敖汉、草原3号和甘农2号与标准品种的关联度较小,生产性能表现较差。

Abstract: Relationships between the major agronomic traits and production performance of 21 alfalfa varieties have been studied using correlation and grey correlation degree analysis. The results showed that alfalfa hay yields were significantly correlated with growth rate, plant height and the fresh-dry ratio (P<0.01). The correlation coefficients were 0.87, 0.86 and 0.55 respectively. The grey correlation coefficients were 0.8360, 0.8330 and 0.7716 respectively. Hay yields were not significantly correlated with either plant number or branch number (P>0.05). The grey correlation coefficient was 0.5921, 0.6267 and 0.7406 respectively. The production performances of the 21 alfalfa varieties were evaluated using the method of optimal correlation degree. The production performance of Gannong No.5, Golden Queen, WL363HQ, WL319HQ and Sandeli were superior to the other varieties. The Aohan, Caoyuan No.3 and Gannong No.2 varieties were the poorest performers in the Ningxia irrigation area.

伏兵哲, 高雪芹, 高永发, 李东宁, 张龙, 张蓉. 21个苜蓿品种主要农艺性状关联分析与综合评价[J]. 草业学报, 2015, 24(11): 174-182.

FU Bing-Zhe, GAO Xue-Qin, GAO Yong-Fa, LI Dong-Ning, ZHANG Long, ZHANG Rong. Correlation analysis of the main agronomic traits and performance of 21 alfalfa varieties[J]. Acta Prataculturae Sinica, 2015, 24(11): 174-182.

参考文献

[1] Geng H Z. Alfalfa of China[M]. Beijing: China Agriculture Publishing House, 1995: 1-8.
[2] Kalu B A, Fick G W. Morphological stage of development as a predictor of alfalfa herbage quality. Crop Science, 1983, (23): 1167-1172.
[3] Ma C X, Jin H. Alfalfa introduction using gray correlation analysis in southern Ningxia Mountain. Journal of Heilongjiang Vocational Institute of Ecological Engineering, 2008, 21(3): 13-14.
[4] Li J J, Wu Y M, Liu J X. Synthetic evaluation of alfalfa introduced to subtropical region of China by using the theory of grey system. Journal of Zhejiang University (Agriculture and Life Sciences), 2005, 31(5): 524-528.
[5] He Y, Li Q, Wang L K. Comprehensive evaluation on alfalfa introduced in high and cool pastoral area with the theory of grey relevancy. Pratacultural Science, 2002, 19(4): 33-36.
[6] Wang J X, Cao Z Z, Yang Q C, et al . Grey relational degree used for comprehensive evaluating regrowth characteristics of alfalfa single plants. Grassland and Turf, 2007, (6): 6-11.
[7] Yang Z, Zhang X Q, Li X L, et al . Applying grey correlative degree analysis to comprehensively evaluate growth performance of 17 types of alfalfa with different fall-dormancy grades. Acta Prataculturae Sinica, 2009, 18(5): 67-72.
[8] Geng H, Wang Z F, Liu Z, et al . Grey association degree analysis on the main characters of domestic and overseas alfalfa. Pratacultural Science, 2009, 26(10): 85-86.
[9] Wei W D, Jing G Z. Comprehensive evaluation of the production performance the seven kinds of Medicago sativa with grey relevancy. Journal of Qinghai University (Nature Science), 2006, 24(3): 37-40.
[10] Liu M X, Zhang X Q, Bai S Q. Comprehensive evaluation of the productive performance of Medicago sativa with grey relevancy. Prataculture and Animal Husbandry, 2007, (7): 12-15.
[11] Han L, Jia Z K, Han Q F, et al . Relational grade analysis of grey theory and evaluation of characteristics of alfalfa germplasm resources. Journal of Northwest Agriculture and Forestry University: Natural Science Edition, 2003, 31(3): 59-64.
[12] Liu Y H, Shi J A, Jia Z K. Grey connection analysis of alfalfa yield and climate factors. Pratacultural Science, 2009, 26(8): 101-106.
[13] Cai L Y, Shi F L, Gao C P. Grey correlative degree analysis on seed production yield of male sterile of alfalfa. Seed, 2010, 29(3): 19-23.
[14] Lv X D, Wang J G, Bai Y C. Comprehensive evaluation on nutrition value of 11 introduced alfalfa varieties in Inner Mongolia. Grassland and Turf, 2013, 33(3): 21-25.
[15] Guo R L. Crop Grey Breeding[M]. Beijing: China Agriculture Press, 1988: 26-40.
[16] Ye Z Y. The select approach of positive index and dimensionless on the multiple indicators comprehensive evaluation. Zhejiang Statistics, 2003, (4): 24-25.
[17] Li H Y, Li Z Y, Li H, et al . Comprehensive evaluation of production performance of Medicago ruthenica by grey correlation method. Pratacultural Science, 2012, 29(11): 1737-1743.
[18] Cao H, Zhang H L, Gai Q H, et al . Test and comprehensive assessment on the performance of 22 alfalfa varieties. Acta Prataculturae Sinica, 2011, 20(6): 219-229.
[19] Tian B, Ran X Q, Xue H, et al . Evaluation of the nutritive value of 42 kinds of forage in Guizhou province by grey relational grade analysis. Acta Prataculturae Sinica, 2014, 23(1): 92-103.
[1] 耿华珠. 中国苜蓿[M]. 北京: 中国农业出版社, 1995: 1-8.
[3] 马春霞, 金花. 宁南山区苜蓿引种的灰色关联度分析. 黑龙江生态工程职业学院学报, 2008, 21(3): 13-14.
[4] 李进军, 吴跃明, 刘建新. 应用灰色系统理论综合评估亚热带地区引种紫花苜蓿. 浙江大学学报(农业与生命科学版), 2005, 31(5): 524-528.
[5] 何毅, 李青, 王历宽. 应用灰色关联度理论对高寒牧区引种的苜蓿进行综合评价. 草业科学, 2002, 19(4): 33-36.
[6] 王建勋, 曹致中, 杨青川, 等. 灰色关联度原理在紫花苜蓿单株再生性能综合评价中的应用. 草原与草坪, 2007, (6): 6-11.
[7] 杨曌, 张新全, 李向林, 等. 应用灰色关联度综合评价17个不同秋眠级苜蓿的生产性能. 草业学报, 2009, 18(5): 67-72.
[8] 耿慧, 王志锋, 刘卓, 等. 国内外苜蓿品种主要性状间的灰色关联度分析. 草业科学, 2009, 26(10): 85-86.
[9] 魏卫东, 井国智. 应用灰色关联度对7种紫花苜蓿品种生产性能综合评价. 青海大学学报(自然科学版), 2006, 24(3): 37-40.
[10] 刘明秀, 张新全, 白史且, 等. 用灰色关联度综合评价紫花苜蓿的生产性能. 草业与畜牧, 2007, (7): 12-15.
[11] 韩路, 贾志宽, 韩清芳, 等. 苜蓿种质资源特性的灰色关联度分析与评价. 西北农林科技大学学报: 自然科学版, 2003, 31(3): 59-64.
[12] 刘玉华, 史纪安, 贾志宽. 气候因子与苜蓿草产量的灰色关联度分析. 草业科学, 2009, 26(8): 101-106.
[13] 蔡丽艳, 石凤翎, 高翠萍, 等. 苜蓿雄性不育系杂交制种产量灰色关联度分析. 种子, 2010, 29(3): 19-23.
[14] 吕小东, 王建光, 白音仓. 内蒙古引进的11个国外苜蓿品种营养价值的灰色评价. 草原与草坪, 2013, 33(3): 21-25.
[15] 郭瑞林. 作物灰色育种学[M]. 北京: 中国农业出版社, 1988: 26-40.
[16] 叶宗裕. 关于多指标综合评价中指标正向化和无量纲化方法的选择. 浙江统计, 2003, (4): 24-25.
[17] 李鸿雁, 李志勇, 李红, 等. 用灰色关联度法综合评价扁蓿豆生产性能. 草业科学, 2012, 29(11): 1737-1743.
[18] 曹宏, 章会玲, 盖琼辉, 等. 22个紫花苜蓿品种的引种试验和生产性能综合评价. 草业学报, 2011, 20(6): 219-229.
[19] 田兵, 冉雪琴, 薛红, 等. 贵州42种野生牧草营养价值灰色关联度分析. 草业学报, 2014, 23(1): 92-103.

21个苜蓿品种主要农艺性状关联分析与综合评价

Correlation analysis of the main agronomic traits and performance of 21 alfalfa varieties

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