|Table of Contents|

Correlation Analysis on Agronomic Characteristics and Yield of Fresh Tomatoes(PDF)

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2017年05
Page:
27-30
Research Field:
Publishing date:

Info

Title:
Correlation Analysis on Agronomic Characteristics and Yield of Fresh Tomatoes
Author(s):
JIA Xiaojun1CHEN Fang1LAN Chuangye2
(1.Institute of Agricultural Science,The Xinjiang Production and Construction Corps Six Division,Wujiaqu,Xinjiang 831300;2.Vegetable Institute,Shanxi Academy of Agricultural Sciences,Taiyuan,Shanxi 030021)
Keywords:
:tomatoagronomic traitsyieldrelated analysis
PACS:
-
DOI:
10.11937/bfyy.201705006
Abstract:
Four fresh tomato varieties were used as experimental materials,14 agronomic traits of tomato were determined,the relations between tomato agronomic traits and yield were analyzed.Using correlation analysis,grey correlation and multiple regression analysis method,the relationship between tomato agronomic traits and the relationship with the tomato yield were studied,to provide reference for screening of tomato varieties.The results showed that,the tomato production were very significant positive correlation with the average fruit number of per plant,the correlation coefficient was 0.994 2**,yield and plant height,flower festival a longitudinal diameter,average fruit number,fruit number and fruit shape index,the average individual results showed no significant positive correlation;grey correlation analysis showed that the correlation between the various characteristics and yield of tomato were width>growth period>fruit soluble solid content>fruit number per average>plant height>flower festival in the beginning a ventricular number>pulp thickness average number>average results showed the fruit yield and longitudinal diameter>stem diameter>fruit shape index.Multiple linear regression showed that affect tomato yield traits and yield was the average number of results.Conclusion was the average number of results was the key to affect the output of tomato yield and properties.

References:

 

[1]梁静,王丽英,陈清,.我国设施番茄氮肥施用量现状及其利用率、产量影响和地力贡献率分析评价[J].中国蔬菜,2015(10):16-21.

[2]陈贤,关文灵,杨磊,.番茄品系产量构成因素的通径分析[J].安徽农业科学,2007,35(8):2268-2269.

[3]张春奇,李爱芳,查素娥,.番茄品种选育试验的灰色关联度综合评估[J].长江蔬菜,2008(7b):45-48.

[4]闫丽娟,庞胜群,靳曲,.灰色关联度法综合评价加工番茄品种性状[J].长江蔬菜,2013(2):13-15.

[5]罗静,田丽萍,张超,.加工番茄果实硬度与相关性状间的分析[J].中国农学通报,2011,27(28):217-220.

[6]董飞,王传增,徐国鑫,.日光温室番茄品种比较试验[J].北方园艺,2015(7):41-43.

[7]和凤美,朱芮,朱永平,.超甜玉米自交系主要农艺性状与鲜穗产量的相关及通径分析[J].华北农学报,2014,29(增刊):142-145.

[8]袁莉.姜波基于灰色系统理论的加工番茄产量预测模型研究[J].安徽农业科学2011,39(17):10099-10100,10107.

[9]梁梅,周蓉,邹滔,.番茄农艺性状与果实主要营养成分相关性分析[J].西北农业学报,2013,22(5):91-100.

Memo

Memo:
-
Last Update: 2017-03-24