Dataset for stability of high biomass and yield in maize under normal and intercropping conditions based on biplot, genotype stability index and land equivalent ratio

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-12-01 DOI:10.1016/j.dib.2024.111161

Mansyur , D. Ruswandi

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引用次数: 0

Abstract

Research on high-yielding and biomass of maize hibrids which adaptive to intercropping environment is important in the context of modern agriculture faced with the challenges of climate change. The field evaluation was conducted in Arjasari, West Java, Indonesia, for two seasons in three different cropping systems, namely: maize sole cropping, maize+soybean intercropping and maize+sweet potato intercropping. The evaluation applied a randomized completed block design with three replications. The article provides a data set of Combined Anova Table and biplot graphic of GGE and AMMI. Combined of Anova Table is provided to identify the effect of genotype, environment and their interaction for the traits observed. Thus biplot of GGE and AMMI is provided to identify representative environment and mega-environment for testing and development of hybrid maize; and to evaluate their adaptability in sole cropping as well as in intercropping with soybean and sweetpotato. The data in this article can be utilized by farmers to choose specific or stable maize hybrids for different cropping system.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.