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Associations and Multi-Traits Selection for Identifying Superior and Stable Maize Hybrids (Zea mays L.) Under Tropical Regions

Caraka Tani: Journal of Sustainable Agriculture · Vol. 41 No. 1 (2025) · pp. 17–31

DOI
10.20961/carakatani.v41i1.107896
ISSN
2599-2570, 2613-9456
Published
2025-12-11
Publisher
Universitas Sebelas Maret
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The development of maize hybrids that combine desirable agronomic traits and grain yield could enhance the likelihood of adopting new superior cultivars. Breeding programs that use specific selection criteria aim to produce high-yielding and stable hybrids with good agronomic performance. The study aimed to determine the superior and stable tropical maize hybrids using simultaneous selection based on trait associations. Ten maize hybrids were evaluated across 10 different environments in tropical regions using a randomized complete block design with 3 replications. Genotype, environment, and genotype-by-environment interactions exhibited statistically significant effects on all observed traits, indicating the differential genetic responses among hybrids across environments. Grain yield is significantly associated with agronomic traits and yield components, thus rendering it a suitable selection criterion for identifying superior genotypes. The heritability of each trait was high, along with selection gains, indicating good prospects for selection. Identifying genotypes using multiple traits can be effective for selecting the best genotype based on the selection criteria under multiple environments. H07, H04, and H05 were identified as superior and stable hybrids based on the multi-trait genotype-ideotype distance index (MGIDI) and multi-trait stability index (MTSI), as well as the factor analytic best linear unbiased prediction (FAI-BLUP) and Smith-Hazel. These hybrids can be used in future breeding programs and as candidates for superior tropical maize hybrids.

Keywords

Collaboration network of the authors

40 authors · 94 co-authorship links · 9 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Muhammadiyah Bengkulu
  • Walailak University
  • Institut Agama Islam Negeri Kendari
  • University of Bengkulu
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Darmawan SaptadiAffiliation unknown5
Muji SetiyoAffiliation unknown4
Arifin Noor SugihartoAffiliation unknown4
Devi MienantiAffiliation unknown4
Iqbal HidayatAffiliation unknown4
Yanuar DanaatmadjaAffiliation unknown4
Mohammad Bahrelfi BelaffifAffiliation unknown4
Ajay Goel KumarAffiliation unknown4
Tya Resta FitrianaAffiliation unknown2
Prima VeronikaAffiliation unknown2
Theresa Dwi KurniaAffiliation unknown2
Prakit SomtaAffiliation unknown2
Bagiyo Condro PurnomoAffiliation unknown2
Muhammad Latifur RochmanAffiliation unknown2
Irzal AndersonAffiliation unknown2
Nurul AiniInstitut Agama Islam Negeri Kendari2
Wiwin Sumiya Dwi YamikaAffiliation unknown2
Aditya KolakotiAffiliation unknown2
Gita Novita SariAffiliation unknown2
Karuniawan Puji WicaksonoAffiliation unknown2
Izmi YulianahAffiliation unknown2
Irwandi IrwandiUniversitas Muhammadiyah Bengkulu1
Mariana Ade CahayaUniversitas Muhammadiyah Bengkulu1
Jayanti SyahfitriUniversitas Muhammadiyah Bengkulu1
Safnil ArsyadUniversity of Bengkulu1
Ramadhan TosepuUniversitas Halu Oleo1
Mukhammad KundoriAffiliation unknown1
Muhammad Arif LiputoAffiliation unknown1
Anggun B.U.S. DepariAffiliation unknown1
Sita NurasehAffiliation unknown1
Winda Dwi LestariAffiliation unknown1
Wardono WardonoAffiliation unknown1
Masjaya MasjayaAffiliation unknown1
Nina ArdiniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://jurnal.uns.ac.id/carakatani/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Associations and Multi-Traits Selection for Identifying Superior and Stable Maize Hybrids (Zea mays L.) Under Tropical Regions</dc:title>
	<dc:creator>Supriadi, Dedy</dc:creator>
	<dc:creator>Bimantara, Yusuf Mufti</dc:creator>
	<dc:creator>Zendrato, Yuniel Melvanolo</dc:creator>
	<dc:creator>Widaryanto, Eko</dc:creator>
	<dc:creator>Kuswanto, Kuswanto</dc:creator>
	<dc:creator>Waluyo, Budi</dc:creator>
	<dc:subject xml:lang="en-US">plant breeding; agronomy; plant sciences</dc:subject>
	<dc:subject xml:lang="en-US">maize breeding; MGIDI; MTSI; selection criteria; simultaneous selection</dc:subject>
	<dc:description xml:lang="en-US">The development of maize hybrids that combine desirable agronomic traits and grain yield could enhance the likelihood of adopting new superior cultivars. Breeding programs that use specific selection criteria aim to produce high-yielding and stable hybrids with good agronomic performance. The study aimed to determine the superior and stable tropical maize hybrids using simultaneous selection based on trait associations. Ten maize hybrids were evaluated across 10 different environments in tropical regions using a randomized complete block design with 3 replications. Genotype, environment, and genotype-by-environment interactions exhibited statistically significant effects on all observed traits, indicating the differential genetic responses among hybrids across environments. Grain yield is significantly associated with agronomic traits and yield components, thus rendering it a suitable selection criterion for identifying superior genotypes. The heritability of each trait was high, along with selection gains, indicating good prospects for selection. Identifying genotypes using multiple traits can be effective for selecting the best genotype based on the selection criteria under multiple environments. H07, H04, and H05 were identified as superior and stable hybrids based on the multi-trait genotype-ideotype distance index (MGIDI) and multi-trait stability index (MTSI), as well as the factor analytic best linear unbiased prediction (FAI-BLUP) and Smith-Hazel. These hybrids can be used in future breeding programs and as candidates for superior tropical maize hybrids.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Sebelas Maret</dc:publisher>
	<dc:contributor xml:lang="en-US">PT Restu Agropro Jaya Mas - RAJA</dc:contributor>
	<dc:date>2025-12-11</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.uns.ac.id/carakatani/article/view/107896</dc:identifier>
	<dc:identifier>10.20961/carakatani.v41i1.107896</dc:identifier>
	<dc:source xml:lang="en-US">Caraka Tani: Journal of Sustainable Agriculture; Vol 41, No 1 (2026): January; 17-31</dc:source>
	<dc:source>2599-2570</dc:source>
	<dc:source>2613-9456</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.uns.ac.id/carakatani/article/view/107896/pdf</dc:relation>
	<dc:relation>https://jurnal.uns.ac.id/carakatani/article/downloadSuppFile/107896/23289</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Caraka Tani: Journal of Sustainable Agriculture</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>