Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Study of Genetic Parameters and Yield Potential of Upland Rice Genotypes in Sumatra and Nusa Tenggara Islands

AGRIVITA, Journal of Agricultural Science · Vol. 48 No. 2 (2026) · hlm. 420–434

DOI
10.17503/agrivita.v48i2.4843
ISSN
2477-8516, 0126-0537
Terbit
2026-06-02
Penerbit
Faculty of Agriculture University of Brawijaya in collaboration with PERAGI
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Genotypic performance in rice is significantly influenced by environmental heterogeneity, necessitating multi-location evaluation to identify adaptive and stable upland rice lines. This study evaluates the uniformity, adaptability, stability, and yield potential of five breeding lines (G1–G5) and five released varieties across two contrasting island environments: Jambi (Sumatra) and Mataram (Nusa Tenggara), from June to December 2024. A randomized block design is employed, and data are analyzed using ANOVA, DMRT, correlation analysis, phenotypic and genotypic coefficient of variation, and broad-sense heritability. Significant differences are detected among genotypes for all traits except filled-grain weight, with G2 exhibiting the highest yield per plot. All traits are significantly affected by location, indicating a strong environmental influence, while genotype and environment contributed independently to trait expression. Correlation patterns are generally consistent across locations, with the strongest association observed between yield per plot and grain weight. The majority of traits exhibit broad phenotypic and genotypic variability (87.5%), and 66.7% of the evaluated traits show high heritability, suggesting substantial potential for genetic improvement. Based on performance, lines G2 (white rice) and G5 (red rice) are recommended for further development and cultivation in upland rice ecosystems in Indonesia.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 98 tautan kepenulisan bersama · 27 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Jambi
  • University of Bangka Belitung
  • Universitas Syiah Kuala
  • Universitas Halu Oleo
  • Hasanuddin University
  • Politeknik Negeri Ujung Pandang
  • University of Mataram
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Irianto IriantoUniversitas Jambi3
Ardiyaningsih Puji LestariUniversitas Jambi2
Helmi SalimUniversitas Jambi2
Novin WandraUniversity of Bangka Belitung2
Yesi YesiRiau University2
Ratna SantiUniversity of Bangka Belitung2
Nur Putri Eka SariUniversity of Bangka Belitung2
SalmiUniversity of Bangka Belitung2
Herry Marta SaputraUniversity of Bangka Belitung2
Alfan DerajatUniversity of Bangka Belitung2
La HarimuUniversitas Halu Oleo1
I Wayan SuamaUniversitas Halu Oleo1
Akmal AkmalUniversitas Jambi1
Jusmawati MassalesseHasanuddin University1
Muh. NurHasanuddin University1
Efran SitohangUniversitas Jambi1
Budiyati IchwanUniversitas Jambi1
An'gun Dhuha Dive PutraUniversitas Jambi1
Buhaira BuhairaUniversitas Jambi1
Ahmad RiduanUniversitas Jambi1
Ahmad Nurro ZikinUniversitas Jambi1
Ichsan Muhadis LubisaUniversitas Syiah Kuala1
Ghina InayatiUniversitas Syiah Kuala1
Tarmizi TarmiziUniversitas Syiah Kuala1
Yuditia Arta KencanaUniversity of Bangka Belitung1
Tri Puji LestariPoliteknik Negeri Padang1
Ahmad RiduanUniversitas Jambi1
Bukri BukriUniversitas Jambi1
Anis Tatik MariyaniUniversitas Jambi1
ZulkarnainAfiliasi tidak diketahui1
AdrianiAfiliasi tidak diketahui1
Dede MartinoUniversitas Jambi1
MapegauUniversitas Jambi1
Dedy AntonyUniversitas Jambi1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://agrivita.ub.ac.id/index.php/agrivita/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Study of Genetic Parameters and Yield Potential of Upland Rice Genotypes in Sumatra and Nusa Tenggara Islands</dc:title>
	<dc:creator>Mustikarini, Eries Dyah</dc:creator>
	<dc:creator>Prayoga, Gigih Ibnu</dc:creator>
	<dc:creator>Faisal, Faisal</dc:creator>
	<dc:creator>Kisman, Kisman</dc:creator>
	<dc:creator>Nusifera, Sosiawan</dc:creator>
	<dc:creator>Saiman, Mohd Zuwairi</dc:creator>
	<dc:subject xml:lang="en-US">Plant breeding</dc:subject>
	<dc:subject xml:lang="en-US">Correlation; Heritability; Multi-location; Red rice; Variability</dc:subject>
	<dc:description xml:lang="en-US">Genotypic performance in rice is significantly influenced by environmental heterogeneity, necessitating multi-location evaluation to identify adaptive and stable upland rice lines. This study evaluates the uniformity, adaptability, stability, and yield potential of five breeding lines (G1–G5) and five released varieties across two contrasting island environments: Jambi (Sumatra) and Mataram (Nusa Tenggara), from June to December 2024. A randomized block design is employed, and data are analyzed using ANOVA, DMRT, correlation analysis, phenotypic and genotypic coefficient of variation, and broad-sense heritability. Significant differences are detected among genotypes for all traits except filled-grain weight, with G2 exhibiting the highest yield per plot. All traits are significantly affected by location, indicating a strong environmental influence, while genotype and environment contributed independently to trait expression. Correlation patterns are generally consistent across locations, with the strongest association observed between yield per plot and grain weight. The majority of traits exhibit broad phenotypic and genotypic variability (87.5%), and 66.7% of the evaluated traits show high heritability, suggesting substantial potential for genetic improvement. Based on performance, lines G2 (white rice) and G5 (red rice) are recommended for further development and cultivation in upland rice ecosystems in Indonesia.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Agriculture University of Brawijaya in collaboration with PERAGI</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-06-02</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://agrivita.ub.ac.id/index.php/agrivita/article/view/4843</dc:identifier>
	<dc:identifier>10.17503/agrivita.v48i2.4843</dc:identifier>
	<dc:source xml:lang="en-US">AGRIVITA Journal of Agricultural Science; Vol 48, No 2 (2026); 420-434</dc:source>
	<dc:source>2477-8516</dc:source>
	<dc:source>0126-0537</dc:source>
	<dc:source>10.17503/agrivita.v48i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/view/4843/1996</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 The Author(s)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>