Beta
ManageSearchChatDiscover
244074

OPTIMUM PLOT SIZE AND NUMBER OF REPLICATIONS IN FABA BEAN

Article

Last updated: 05 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

Planning agricultural experiments and assessing their accuracy is important in determining the credibility of the results obtained from the research. Therefore, the objective of the present investigation was to estimation of the optimum plot size and number of replications. Two field experiments were carried out during the two successive seasons of 2017/18 and 2018/19 at the Agricultural Research and Experiment Station, of Faculty of Agriculture, Cairo University, Giza, Egypt. The genetic materials were used in this experiment included two faba bean varieties. Estimates of coefficient of variation (C.V.%) varied between 5.9% to 35.9% for Cairo 25 and Cairo 4 verities under Orbanche-free condition. In general, highest estimates of coefficient of variation were detected for Cairo 25 variety under Orbanche-free condition. Standard error decreased as the number of replications and plot size increased while the rate of decrease was more obvious due to increase in number of replications than that due to increasing plot size until plot size 6basic units (14.4 m2).

DOI

10.12816/ejpb.2022.244074

Keywords

Faba bean, Vicia faba, Coefficient of variation, standard error, experimental precision

Volume

26

Article Issue

1

Related Issue

35004

Issue Date

2022-06-01

Receive Date

2022-06-14

Publish Date

2022-06-01

Page Start

41

Page End

58

Print ISSN

1110-7863

Online ISSN

2735-3885

Article File

EJPB_Volume 26_Issue 1_Pages 41-58.pdf

PDF . 800.4kB

Link

https://ejpb.journals.ekb.eg/article_244074.html

Detail API

https://ejpb.journals.ekb.eg/service?article_code=244074

Order

244,074

Type

Original research

Type Code

1,909

Publication Type

Journal

Publication Title

Egyptian Journal of Plant Breeding

Publication Link

https://ejpb.journals.ekb.eg/

MainTitle

OPTIMUM PLOT SIZE AND NUMBER OF REPLICATIONS IN FABA BEAN

Details

Type

Article

Created At

23 Jan 2023