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

doi:10.11686/cyxb2014541

Abstract

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.

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.

References

[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.