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Photosynthetic Paramaters of Two Indonesian Soybean Top Varieties

AGRIVITA, Journal of Agricultural Science · Vol. 43 No. 2 (2021) · pp. 422–429

DOI
10.17503/agrivita.v43i2.2842
ISSN
2477-8516, 0126-0537
Published
2021-05-19
Publisher
Faculty of Agriculture University of Brawijaya in collaboration with PERAGI
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Each plant genotype has its own photosynthetic parameters required to run crop growth model. The research is aimed to characterize photosynthetic parameters particularly maximum photosynthesis and initial light use efficiency of two soybean varieties widely planted in Indonesia, Dena-1 and Anjasmoro. Photosynthetic performances were measured in a designed experiment to study the effect of Actinomycetes spp. on growth and yield of soybean. Photosynthesis was measured using an open chamber portable photosynthetic system (LI-6400), at variable Photosynthetically Active Radiation (PAR), i.e. 500; 1,000; 1,500; and 2,000 µmol (photon)/m2/s. The photosynthetic light response curve (PN/I curve) was developed using Solver function of Microsoft Excel. Maximum gross photosynthesis (Pgmax) of Dena-1 is 45.64 μmol (CO2)/m2/s, while Anjasmoro variety is only 34.81 μmol (CO2)/m2/s. Quantum yield at low light (initial light use efficiency) of Dena-1 is also higher with the value of 0.068 μmol (CO2)/μmol(photons) compared to Anjasmoro that have 0.058 μmol (CO2)/μmol (photons). Hence light response curve of Dena-1 variety is consistently higher than Anjasmoro. Under Actinomycetes spp. treatment the light response curve of Dena-1 is higher than Anjasmoro at PAR lower than 706 μmol (photon)/m2/s and higher at PAR above it.

Keywords

Collaboration network of the authors

40 authors · 191 co-authorship links · showing the 40 most connected

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  • Hasanuddin University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Fachirah UlfaHasanuddin University7
Katriani MantjaHasanuddin University6
Novaty Eny DunggaHasanuddin University6
Hari IswoyoHasanuddin University6
Feranita HaringHasanuddin University5
Ifayanti RidwanHasanuddin University5
Vien Sartika DewiHasanuddin University4
Sylvia SjamHasanuddin University3
Syatrianty Andi SyaifulHasanuddin University3
Heliawaty HeliawatyHasanuddin University3
RafiuddinAffiliation unknown3
Tigin DariatiHasanuddin University3
Nurfaida NurfaidaHasanuddin University3
Nuniek WidiayaniHasanuddin University3
Muh RiadiAffiliation unknown2
Muhammad FariedHasanuddin University2
Muhammad JayadiAffiliation unknown2
Fachira UlfaAffiliation unknown2
Feranita HaringAffiliation unknown2
Aminah AminahAffiliation unknown2
Asmiaty SahurHasanuddin University2
Basri BabaAffiliation unknown2
Fachira UlfaAffiliation unknown2
AMIR YASSIHasanuddin University2
Rafiuddin RafiuddinHasanuddin University2
Muh. JayadiHasanuddin University1
Pipi DiansariAffiliation unknown1
NurfaidaAffiliation unknown1
Muh. FariedAffiliation unknown1
Heliawaty LakareHasanuddin University1
BidasariHasanuddin University1
Juane Davied MamengkoHasanuddin University1
Nadira R. SennangAffiliation unknown1
Indah PuspitasariAffiliation unknown1
A Rusdayani AminAffiliation unknown1
Baharuddin AsisAffiliation unknown1
Dwika Stevia IndrianaAffiliation 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) https://agrivita.ub.ac.id/index.php/agrivita/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">Photosynthetic Paramaters of Two Indonesian Soybean Top Varieties</dc:title>
	<dc:creator>Padjung, Rusnadi</dc:creator>
	<dc:creator>Syam'un, Elkawakib</dc:creator>
	<dc:creator>Kasim, Nurlina</dc:creator>
	<dc:subject xml:lang="en-US">Agronomy; crop physiology</dc:subject>
	<dc:subject xml:lang="en-US">Actinomycetes spp; Crop model; Light efficiency; Light response curve; Maximum photosynthesis</dc:subject>
	<dc:description xml:lang="en-US">Each plant genotype has its own photosynthetic parameters required to run crop growth model. The research is aimed to characterize photosynthetic parameters particularly maximum photosynthesis and initial light use efficiency of two soybean varieties widely planted in Indonesia, Dena-1 and Anjasmoro. Photosynthetic performances were measured in a designed experiment to study the effect of Actinomycetes spp. on growth and yield of soybean. Photosynthesis was measured using an open chamber portable photosynthetic system (LI-6400), at variable Photosynthetically Active Radiation (PAR), i.e. 500; 1,000; 1,500; and 2,000 µmol (photon)/m2/s. The photosynthetic light response curve (PN/I curve) was developed using Solver function of Microsoft Excel. Maximum gross photosynthesis (Pgmax) of Dena-1 is 45.64 μmol (CO2)/m2/s, while Anjasmoro variety is only 34.81 μmol (CO2)/m2/s. Quantum yield at low light (initial light use efficiency) of Dena-1 is also higher with the value of 0.068 μmol (CO2)/μmol(photons) compared to Anjasmoro that have 0.058 μmol (CO2)/μmol (photons). Hence light response curve of Dena-1 variety is consistently higher than Anjasmoro. Under Actinomycetes spp. treatment the light response curve of Dena-1 is higher than Anjasmoro at PAR lower than 706 μmol (photon)/m2/s and higher at PAR above it.</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">Ministry of Research Technology and Higher Education of Republic of Indonesia</dc:contributor>
	<dc:date>2021-05-19</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/2842</dc:identifier>
	<dc:identifier>10.17503/agrivita.v43i2.2842</dc:identifier>
	<dc:source xml:lang="en-US">AGRIVITA Journal of Agricultural Science; Vol 43, No 2 (2021); 422-429</dc:source>
	<dc:source>2477-8516</dc:source>
	<dc:source>0126-0537</dc:source>
	<dc:source>10.17503/agrivita.v43i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/view/2842/1401</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2842/2064</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2842/2065</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2842/2066</dc:relation>
	<dc:relation>https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2842/2067</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 The Author(s)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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