Open Access

ARTICLE

Participatory Rice Breeding in Rainfed Land to Sustainable Agriculture

Vina Eka Aristya¹, Sri Minarsih¹, Kristamtini¹, I Gusti Komang Dana Arsana¹, Samijan¹, Setyorini Widyayanti¹, Sodiq Jauhari¹, Arif Susila¹, Ni Wayan Trisnawati¹, I Ketut Mahaputra¹, I Nyoman Suyasa¹, Opik Mahendra², Supriyanta³, Gilang Wirakusuma³, Taufan Alam³, Taryono^3,*

1 National Research and Innovation Agency (BRIN), Jakarta Pusat, Jakarta, 10340, Indonesia
2 Central Java Agricultural Training Center, Temanggung, 56272, Indonesia
3 Faculty of Agriculture, Universitas Gadjah Mada, Depok, Sleman, Yogyakarta, 55281, Indonesia

* Corresponding Author: Taryono. Email:

(This article belongs to the Special Issue: Crop Managements and Crop Adversity: Strategies, Mechanisms, and Implements)

Phyton-International Journal of Experimental Botany 2025, 94(7), 2055-2073. https://doi.org/10.32604/phyton.2025.065227

Received 07 March 2025; Accepted 16 June 2025; Issue published 31 July 2025

Abstract

Rice, as a primary commodity, needs to be increased in production while facing the sustainability challenges of limited land, water resources, and climate change. The demand for rice productivity was not enough to rely only on the fertile fields’ ability; it is necessary to consider the rainfed land potential. Cultivation in rainfed land involves biophysical pressure, low production, and limited access to superior varieties. Participatory rice breeding aimed to identify farmers’ trait preferences and develop acceptable lines. A bottom-up approach involved 203 farmers from four rainfed fields in Indonesia, i.e., Semarang-Central Java, Kulon Progo-Yogyakarta, Tabanan-Bali, and Gunungkidul-Yogyakarta. The experiment on February–June 2024 tested six lines (G2, G3, G4, G5, G9, and G10) and four varieties (Situ Bagendit, Gamagora7, Inpari IRNutri Zinc, and Inpago12 Agritan). Farmers’ involvement in evaluating the suitability of genotypes involved using Multidimensional Scaling and Importance-Performance Analysis. Breeders added comprehensive analysis in the growing environment with Genotype Environment Interaction, and key attributes of leverage analysis from farmers must be considered. Genotype performance in the Multidimensional Scaling feasibility indicated that yield primary determinants were panicle type, disease resistance, leaf characteristics, and environmental resilience. Importance Performance Analysis verified that G3, G9, G2, and G4 had a preference at the farm level. Genotype Environment Interaction reveals that G3, G4, and G2 were ideal lines with high potential yields, suitability, and adaptability on rainfed land. Participatory rice breeding in rainfed land integrates farmers’ assessments and breeders’ observations to realize the most preferred genotypes according to the challenges for sustainable agriculture.

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Keywords

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