Evidence map›Paper›PMID 42827911›Full record

ArticleData in brief2026

Dataset on proximate composition, starch content, agronomic performance, and GGE biplot analysis of newly developed maize hybrids across three cropping systems in Indonesia.

Frengky Arya Saputra, Adimas Pamuji, Ade Ismail, M Rafi Fauzan, Dedi Ruswandi

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Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Frengky Arya SaputraPT Indogreen Seeds Indonesia, Bekasi, 17530, Indonesia.
Adimas PamujiPT East West Seed Indonesia, Purwakarta, 41181, Indonesia.
Ade IsmailFaculty of Agriculture, Universitas Padjadjaran, Indonesia.
M Rafi FauzanPT Indogreen Seeds Indonesia, Bekasi, 17530, Indonesia.
Dedi RuswandiDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article presents a dataset on proximate composition, starch content, and agronomic performance of newly developed maize hybrids evaluated across three cropping systems in Indonesia: sole maize cropping, maize-soybean intercropping, and maize-sweet potato intercropping. Because all three cropping systems were established at a single location and growing season, they are treated here as management treatments rather than independent environments, and genotype × cropping-system interaction is analyzed accordingly. Eighteen newly developed maize hybrids and one commercial check hybrid were tested using a randomized complete block design with three replications. The dataset includes seven grain quality traits, namely moisture, ash, fat, protein, carbohydrate (calculated by difference from the other proximate traits), crude fibre, and starch content, as well as four agronomic traits (number of leaves, leaf length, leaf width, and chlorophyll content) and grain yield. Combined analysis of variance showed significant effects of cropping system, genotype, and genotype × cropping-system interaction for most traits, indicating substantial variation among hybrids and cropping systems. Genotype × cropping-system mean values for all traits, heatmap visualizations, and GGE biplot analyses (discriminativeness/representativeness, mean performance/stability, and which-won-where patterns) are provided, and the complete dataset is available in the Mendeley Data repository. This dataset is useful for maize breeders, food and feed researchers, and crop scientists interested in selecting maize hybrids with superior nutritional quality, starch potential, yield performance, and adaptation to diversified tropical cropping systems.

Indexed as

Field cornGenotype × environment interactionGGE biplotIntercroppingProximate compositionYield

Identifiers

PMID42827911
PMCPMC13632201

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