Crops ›› 2016, Vol. 32 ›› Issue (5): 56-60.doi: 10.16035/j.issn.1001-7283.2016.05.010

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Relationships among Major Agronomic Traits and Nutritional Characters of Pea based on Correlation/Grey Relational Analysis

Gao Xiaoli1,Liao Wenhua1,Wang Shanshan1,Yang Wencai2,Dai Xianglin1,Zhang Yuhong1   

  1. 1 Agricultural Institute,Tibet Academy of Agricultural and Animal Husbandry Sciences/Tibet Research Station of Crop Gene Resource & Germplasm Enhancement,Ministry of Agriculture,P.R.China,Lhasa 850032,Tibet,China;
    2 Institute of Pratacultural Science,Tibet Academy of Agricultural and Animal Husbandry Sciences,Lhasa 850009,Tibet,China
  • Received:2016-07-21 Revised:2016-09-28 Online:2016-10-15 Published:2018-08-26

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Abstract:

The relationships among agronomic traits and among nutritional characters of eight pea cultivars were analyzed by the correlation analysis and gray relational analysis. The results revealed that positive closer correlations between dry seed yield per plant and seeds per pod, and between dry seed yield per plant and 100-eed weight. The order of grey relation degree from high to low between dry seed yield per plant and other agronomic traits was listed as following: seeds per pod > pods per plant > growth period > 100-seed weight > plant height > branches per plant > main stem inter nodes. The order of grey relation degree from high to low between nutritional quality and other nutritional traits was listed as following: total protein content > total starch content > lysine content > water content > gross lipid content. The results of grey relation analysis on the major agronomic traits and nutritional characters were consistent with those of correlation analysis. Combined with gray relational analysis, the correlation analysis helps the objective evaluation of pea cultivars.

Key words: Pea, Agronomic traits, Nutritional characters, Gray relational analysis, Correlation analysis

Table 1

Means of main agronomical characters for peas"

品种（系）
Cultivar		 生育日数(d)
Growth period		 株高(cm)
Plant height		 主茎节数(个)
Main stem
inter nodes		 单株荚数(个)
Pods per plant		 单荚粒数(个)
Seeds per pod		 单株产量(g)
Dry seed yield
per plant		 单株分蘖数(个)
Branches per plant		 百粒重(g)
100-seed weight		 产量
(kg/hm2)
Yield
L-0294 118b 147.4a 18.9ab 33.2a 5.6bc 21.6a 2.6a 19.1b 2 760bc
2006-WD-06 111a 47.7d 13.1b 11.0c 5.0bc 12.5b 0.9bc 28.3a 2 894bc
2004-WD-1 116b 84.1cd 18.2ab 26.6ab 5.9ab 23.7a 2.4a 22.1ab 5 239a
中农-13
Zhongnong 13		 117b
 118.7bc
 15.0ab
 20.9b
 5.9ab
 19.4a
 1.2bc
 24.6ab
 4 864a
中农-6
Zhongnong 6		 117b
 124.6ab
 17.0ab
 11.6c
 6.6a
 15.7b
 1.1bc
 25.4ab
 3 352ab
拉萨黑豌豆
Lhasa black pisum		 134c
 130.9ab
 18.6ab
 17.2b
 4.4d
 10.2c
 1.5b
 19.0b
 1 217d
中农-23
Zhongnong 23		 116b
 60.6cd
 15.1ab
 20.3b
 5.1bc
 20.0a
 1.4bc
 27.4a
 5 129a
ZWD42 119b 91.0bc 22.1a 14.5c 5.0bc 12.9b 1.4bc 24.0ab 3 403ab
平均数Average 118.0 100.6 17.3 18.2 5.3 15.7 1.4 23.7 3 607
s 5.88 31.21 2.51 6.23 0.62 3.64 0.52 3.05 1 229.43
CV(%) 4.97 31.02 14.55 34.28 11.62 23.11 38.38 12.84 34.08

Table 2

Pea main quality %"

品种（系）
Cultivar		 水分含量
Water content		 粗蛋白含量
Gross protein content		 粗脂肪含量
Gross lipid content		 粗淀粉含量
Gross starch content		 赖氨酸含量
Lysine content
L-0294 8.39 21.67 1.05 62.2 1.35
2006-WD-06 8.37 28.78 1.00 56.6 1.30
2004-WD-1 8.45 25.32 1.07 58.7 1.30
ZWD42 8.47 24.15 1.22 58.7 1.28
中农-13 Zhongnong 13 8.32 23.32 1.30 60.8 1.31
中农-23 Zhongnong 23 8.49 24.55 1.07 59.8 1.38
中农-6 Zhongnong 6 8.21 23.32 1.00 59.4 1.21
拉萨黑豌豆Lhasa black pisum 8.55 21.39 1.03 59.6 1.19
平均值Average 8.41 24.06 1.09 59.48 1.29
s 0.09 2.06 0.10 1.44 0.06
CV 1.13 8.55 8.80 2.43 4.39

Table 3

The correlation coefficient between the main agronomic characters for peas"

株高
Plant
height		 主茎节数
Main stem
inter nodes		 单株荚数
Pods per
plant		 单荚粒数
Seeds per
pod		 单株产量
Dry seed weight
per plant		 单株分蘖数
Branches
per plant		 百粒重
100-seed
weight		 生育日数
Growth
period
主茎节数Main stem inter nodes 0.245 1
单株荚数Pods per plant 0.594* 0.057 1
单荚粒数Seeds per pod 0.402 -0.088 0.217 1
单株产量Dry seed weight per plant 0.451 -0.063 0.901** 0.459 1
单株分蘖数Branches per plant 0.497 0.221 0.462 0.005 0.173 1
百粒重100-seed weight -0.489 -0.384 -0.061 0.316 0.292 -0.451 1
生育日数Growth period 0.647** 0.171 0.487 -0.141 0.370 0.198 -0.350 1.
经济产量Equivalent yield -0.516* -0.163 -0.314 0.056 -0.221 -0.251 0.241 -0.691**

Table 4

The association degree and association coefficient between pea plot yield and agronomic traits"

性状
Agronomic traits		 代号
Code		 关联度Association degree 相关系数Association coefficient
数值Value 排序Order 数值Value 排序Order
生育日数Growth period K1 0.754 3 -0.691 8
株高Plant height K2 0.696 5 -0.516 7
主茎节数Main stem inter nodes K3 0.656 7 -0.163 3
单株荚数Pods per plant K4 0.755 2 -0.314 6
单荚粒数Seeds per pod K5 0.789 1 0.056 2
百粒重100-seed weight K6 0.709 4 0.241 1
单株产量Dry seed weight per plant K7 0.653 8 -0.221 4
单株分蘖数Branches per plant K8 0.691 6 -0.251 5

Table 5

The correlation coefficient between nutritional characters of peas"

水分含量
Water content		 粗蛋白含量
Gross protein content		 粗脂肪含量
Gross lipid content		 粗淀粉含量
Gross starch content
粗蛋白含量Gross protein content -0.117 1.
粗脂肪含量Gross lipid content 0.007 -0.158 1
粗淀粉含量Gross starch content -0.063 -0.832* 0.269 1
赖氨酸含量Lysine content 0.116 0.259 0.221 0.25

Table 6

The association degree of peas for nutritional characters and nutritional quality"

水分含量
Water content		 粗蛋白含量
Gross protein content		 粗脂肪含量
Gross lipid content		 粗淀粉含量
Gross starch content		 赖氨酸含量
Lysine content
关联度Association degree 0.561 0.725 0.230 0.656 0.577
排序Order 4 1 5 2 3
[1] 邓聚龙 . 农业系统灰色理论与方法.济南: 山东科学技术出版社, 1988.
[2] 王英杰, 王晓琳, 孙滨 , 等. 用灰色关联分析法评价沈阳芸豆联合鉴定试验. 辽宁农业科学, 2013(2):20-23.
[3] 徐泽茹, 曹金锋, 王茹芳 , 等. 大豆产量与主要农艺性状的灰色关联度分析. 河北农业科学, 2010,14(2):1-4.
doi: 10.3969/j.issn.1088-1631.2010.02.001
[4] 李北齐, 赵苏维, 王贵强 , 等. 玉米杂交组合产量相关因素的灰色关联度评价. 玉米科学, 2006,14(2):44-46.
[5] 唐海涛, 张彪, 林勇 , 等. 玉米杂交种主要农艺性状的灰色关联度分析. 湖南农业大学学报(自然科学版), 2007,33(8):109-114.
doi: 10.3969/j.issn.1001-4829.2007.05.007
[6] 张健, 张兴端, 晏庆九 , 等. 灰色关联度分析在玉米品种评价中的应用. 玉米科学, 2006,14(5):52-55.
doi: 10.3969/j.issn.1005-0906.2006.05.013
[7] 王曙光, 朱俊刚, 孙黛珍 , 等. 山西小麦地方品种幼苗期抗旱性的鉴定. 中国农业大学学报, 2013,18(1):39-45.
[8] 姜小苓, 关西贞, 茹振钢 , 等. 中国小麦微核心种质籽粒赖氨酸含量分析. 中国粮油学报, 2012,27(11):1-4.
doi: 10.3969/j.issn.1003-0174.2012.11.001
[9] 龚学臣, 杨立廷, 马文奇 , 等. 豌豆不同栽培条件下产量构成因素相关及通径分析. 国外农学-杂粮作物, 1996(5):34-36.
[10] 王凤宝, 董立峰, 付金锋 . 半无叶型豌豆7个农艺性状的通径分析及利用. 中国农学通报, 2002(2):34-37.
doi: 10.3969/j.issn.1672-7983.2001.04.005
[11] 高小丽, 卓嘎, 张玉红 , 等. 2011 ~2013年西藏地区豌豆品种(系)比较试验初报. 作物杂志, 2014(6):147-149.
[12] 高小丽 . 施磷对豌豆产量及其构成因素的影响. 作物杂志, 2016(1):125-128.
doi: 10.16035/j.issn.1001-7283.2016.01.023
[13] 田和彬, 汪军妹, 华为 , 等. 大麦主要农艺和品质性状的相关性及灰色关联度分析. 浙江农业学报, 2011(3):433-438.
doi: 10.3969/j.issn.1004-1524.2011.03.001
[14] 童燕, 肖敬德, 张光 , 等. 大豆主要农艺性状与品质性状间的灰色关联度分析. 大豆科技, 2013(2):26-29.
[15] 汪宝卿, 张礼凤, 慈敦伟 , 等. 黄淮海地区夏大豆农艺性状与产量的相关性及灰色关联度分析. 山东农业科学, 2010(3):20-25.
doi: 10.3969/j.issn.1001-4942.2010.03.006
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