AGRONOMIC AND GRAIN YIELD TRAITS OF RICE VARIETIES UNDER SEASONAL VARIATION IN TROPICAL LOWLANDS
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ARTICLE HIGHLIGHTS
- Planting time in the wet season changed rice growth and grain yield.
- Mid rainy season planting reduced grain yield in all tested rice varieties.
- Hybrid Intani 602 recorded the highest yield in late rainy season planting.
- Grain yield increased with greater plant biomass and faster crop growth.
- Longer flowering and maturity were associated with lower grain yield.
ABSTRACT
Rice (Oryza sativa L.) is a strategic crop in Southeast Asia, where seasonal variation strongly influences its growth, physiology, and yield. This study evaluated the agronomic performance and yield components of three rice genotypes representing local (Pandan Wangi), improved (Inpari 32), and hybrid (Intani 602) types across three planting periods within the wet season (early, mid, and late rainy season) in tropical lowland fields of East Java, Indonesia, during 2023 – 2024. The experiment was arranged in a randomized complete block design within each planting period, and data were analyzed using combined ANOVA, correlation analysis, and genotype by trait (GT) biplot. Results indicated that genotype and planting period significantly affected most agronomic and yield traits, with significant genotype × planting period interactions observed for several key variables. Grain yield was positively associated with biomass accumulation and growth efficiency (DW and CGR) and supported by canopy development (LAI), whereas phenological duration (DTF and DTM) showed negative associations with yield under the tested wet season conditions. GT biplot analysis explained 77.95% of the total variation (PC1 = 64.48%, PC2 = 13.47%) and indicated that hybrid combinations in the late rainy season planting period were closely associated with major yield and biomass traits, while Inpari 32 in the early rainy season planting period was more closely associated with radiation use indices (EPA and RUE) and tiller related traits. Pandan Wangi combinations were positioned nearer to phenological and vegetative traits with lower yield levels. Overall, the findings provide a site-specific basis to interpret varietal suitability and planting period sensitivity within the wet season in tropical lowland rice systems.
Abu NE, Uguru MI, Obi. 2019. Genotype by trait relations of yield and yield components in aromatic peppers (Capsicum annuum) based on GT biplot. [Internet]. Available from: www.internationalscholarsjournals.org.
Cosentino SL, Patanè C, Sanzone E, Testa G, Scordia D. 2016. Leaf gas exchange, water status and radiation use efficiency of giant reed (Arundo donax L.) in a changing soil nitrogen fertilization and soil water availability in a semi-arid Mediterranean area. Eur J Agron 72:56–69. DOI:10.1016/j.eja.2015.09.011
Duc NT, Raju D, Kumar S, Pandey R, Ellur RK, Gopala Krishnan S, …, Chinnusamy V. 2025. Phenomics assisted trait dissection and genotype selection for improved nitrogen use efficiency in rice. Plant Stress 17. DOI:10.1016/j.stress.2025.100909
Gao Y, Li Y, Huang L, Zhao J, Li S, Lu J, …, Yang T. 2024. Identification of the effects of low temperature on grain-setting rate of different types of late-season rice (Oryza sativa) during heading. Field Crops Res 318. DOI:10.1016/j.fcr.2024.109584
Heravizadeh Z, Daliri MS, Moballeghi M, Mirkalaei AAM. 2022. Effect of water stress on yield stability, water productivity, and canopy temperature of rice genotypes. Int Agrophys 36(3):235–243. DOI:10.31545/intagr/151642
Huang X, Jang S, Kim B, Piao Z, Redona E, Koh HJ. 2021. Evaluating genotype × environment interactions of yield traits and adaptability in rice cultivars grown under temperate, subtropical and tropical environments. Agriculture 11(6). DOI:10.3390/agriculture11060558
Ibrahim A, Stuerz S, Manneh B, Rebellodo MC, Saito K. 2024. Consistent yield performance of rice genotypes grown under irrigated conditions in wet and dry seasons in West Africa. Field Crops Res 306. DOI:10.1016/j.fcr.2023.109231
Kalaitzidis A, Kadoglidou K, Mylonas I, Ghoghoberidze S, Ninou E, Katsantonis D. 2025. Investigating the impact of tillering on yield and yield-related traits in european rice cultivars. Agriculture 15(6). DOI:10.3390/agriculture15060616
Khan MAR, Mahmud A, Islam MN, Ghosh UK, Hossain MS. 2023. Genetic variability and agronomic performances of rice genotypes in different growing seasons in Bangladesh. J Agric Food Res 14. DOI:10.1016/j.jafr.2023.100750
Lal B, Gautam P, Nayak AK, Raja R, Panda BB, Tripathi R, …, Rathore VS. 2023. Agronomic manipulation in main season and ratoon rice influences growth, productivity, and regeneration ability in tropical lowlands. Field Crops Res 294. DOI:10.1016/j.fcr.2023.108872
Li G, Tang J, Zheng J, Chu C. 2021. Exploration of rice yield potential: Decoding agronomic and physiological traits. Crop J 9(3):577–589. DOI:10.1016/j.cj.2021.03.014
Mousavi SMN, Bojtor C, Illés Á, Nagy J. 2021. Genotype by trait interaction (GT) in maize hybrids on complete fertilizer. Plants 10(11). DOI:10.3390/plants10112388
Olivoto T, Lúcio ADC. 2020. Metan: An R package for multi-environment trial analysis. Methods Ecol Evol 11(6):783–789. DOI:10.1111/2041-210X.13384
Phapumma A, Monkham T, Chankaew S, Kaewpradit W, Harakotr P, Sanitchon J. 2020. Characterization of indigenous upland rice varieties for high yield potential and grain quality characters under rainfed conditions in Thailand. Ann Agric Sci 65(2):179–187. DOI:10.1016/j.aoas.2020.09.004
Purwati RD, Anggraeni TDA, Machfud M. 2022. Genotype by yield*trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits. In: IOP Conf Ser: EarthEnviron Sci 974:012013. DOI: 10.1088/1755-1315/974/1/012013
Sabouri A, Dadras AR, Azari M, Saberi Kouchesfahani A, Taslimi M, Jalalifar R. 2022. Screening of rice drought-tolerant lines by introducing a new composite selection index and competitive with multivariate methods. Sci Rep 12(1). DOI:10.1038/s41598-022-06123-9
Sharifi P, Ebadi AA. 2018. Relationships of rice yield and quality based on genotype by trait (GT) biplot. Ann Acad Bras Cienc 90(1):343–356. DOI:10.1590/0001-3765201820150852
Shojaei SH, Ansarifard I, Mostafavi K, Bihamta MR, Zabet M. 2022. GT biplot analysis for yield and related traits in some sunflower (Helianthus annuus L.) genotypes. J Agric Food Res 10. DOI:10.1016/j.jafr.2022.100370
Stansluos AAL, Öztürk A, Niedbała G, Türkoğlu A, Haliloğlu K, Szulc P, Omrani A, Wojciechowski T, Piekutowska M. 2023. Genotype–trait (GT) biplot analysis for yield and quality stability in some sweet corn (Zea mays L. saccharata Sturt.) Genotypes. Agronomy 13(6). DOI:10.3390/agronomy13061538
Tsujimoto Y, Fuseini A, Inusah BIY, Dogbe W, Yoshimoto M, Fukuoka M. 2021. Different effects of water-saving management on canopy microclimate, spikelet sterility, and rice yield in the dry and wet seasons of the sub-humid tropics in northern Ghana. Field Crops Res 260. DOI:10.1016/j.fcr.2020.107978
Wang L, Zhong D, Chen X, Niu Z, Cao Q. 2024. Impact of climate change on rice growth and yield in China: Analysis based on climate year type. Geogr Sustain 5(4):548–560. DOI:10.1016/j.geosus.2024.06.006
Yan W, Frégeau-Reid J. 2018. Genotype by yield*trait (GYT) biplot: A novel approach for genotype selection based on multiple traits. Sci Rep 8(1). DOI:10.1038/s41598-018-26688-8
Yan W, Rajcan I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci (42):11–20. DOI: 10.2135/cropsci2002.1100
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